CN117376976A - Method, device, terminal and readable storage medium for measuring radio frequency fingerprint data - Google Patents

Abstract

This application provides a method, device, terminal and readable storage medium for measuring radio frequency fingerprint data; wherein the method includes: when the target application belongs to the communication service, and the identification information of the target application does not exist in the preset application list In case of relationship; the first real-time information represents the network performance and connection status of the current network environment; based on the first real-time information, determine the target business scenario of the terminal; determine the target measurement strategy according to the target business scenario, so that the terminal uses the target measurement strategy to obtain the radio frequency fingerprint data. This application can improve the measurement performance of radio frequency fingerprint data.

Description

Method, device, terminal and readable storage medium for measuring radio frequency fingerprint data

Technical Field

The present application relates to the field of communication technology, and relates to but is not limited to a method, device, terminal and readable storage medium for measuring radio frequency fingerprint data.

Background Art

Location Based Services (LBS) uses various types of positioning technologies to obtain the current location of the positioning device, provides information resources and basic services to the positioning device through the mobile Internet, and uses the mobile Internet network service platform to update and interact with data, so that users can obtain corresponding services through spatial positioning.

In the related technologies, the positioning technology of wireless communication technology (Wireless Fidelity, Wi-Fi) relies on the popularity of Wi-Fi routers and mobile terminals, so that the positioning system can share the network with other customers. The hardware cost is very low, and the positioning function can be realized in a wide range of application fields. Although the protocol stipulates different scanning methods, there are many limitations in actual application scenarios. Currently, more and more applications are installed on terminals. These applications often contain services that need to trigger Wi-Fi scanning. Due to the limitations of Wi-Fi service experience and power consumption, the measurement method of the terminal's RF fingerprint data is relatively simple, which affects the measurement performance of the RF fingerprint data.

Summary of the invention

The method, device, terminal and readable storage medium for measuring radio frequency fingerprint data provided in the present application can improve the measurement performance of radio frequency fingerprint data.

The technical solution of this application is implemented as follows:

In a first aspect, an embodiment of the present application provides a method for measuring radio frequency fingerprint data, including:

When the target application belongs to a communication service and the identification information of the target application does not exist in the preset application list, first real-time information corresponding to the target application is obtained; wherein the target application is an application running on the terminal that needs to trigger radio frequency scanning; the preset application list is used to characterize the correspondence between the application and the service scenario; the first real-time information characterizes the network performance and connection status of the current network environment;

Determining a target service scenario of the terminal based on the first real-time information;

According to the target service scenario, a target measurement strategy is determined so that the terminal adopts the target measurement strategy to acquire radio frequency fingerprint data.

In a second aspect, an embodiment of the present application provides a device for measuring radio frequency fingerprint data, the device comprising an acquisition unit and a determination unit; wherein:

The acquisition unit is used to acquire the first real-time information corresponding to the target application when the target application belongs to a communication service and the identification information of the target application does not exist in the preset application list; wherein the target application is an application running on the terminal that needs to trigger radio frequency scanning; the preset application list is used to characterize the correspondence between the application and the service scenario; the first real-time information characterizes the network performance and connection status of the current network environment;

The determining unit is used to determine a target service scenario of the terminal based on the first real-time information; and determine a target measurement strategy according to the target service scenario, so that the terminal adopts the target measurement strategy to obtain radio frequency fingerprint data.

In a third aspect, an embodiment of the present application provides a terminal, comprising: a processor and a memory, the memory being used to store a computer program, the processor being used to call and run the computer program stored in the memory to execute the method for measuring radio frequency fingerprint data as described above.

In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, the method for measuring radio frequency fingerprint data as described above is implemented.

In an embodiment of the present application, a method, device, terminal and readable storage medium for measuring radio frequency fingerprint data are provided, the method comprising: when the target application belongs to a communication service and the identification information of the target application does not exist in the preset application list, obtaining the first real-time information corresponding to the target application; wherein the target application is an application running on the terminal that needs to trigger radio frequency scanning; the preset application list is used to characterize the correspondence between the application and the service scenario; the first real-time information characterizes the network performance and connection status of the current network environment; based on the first real-time information, determining the target service scenario of the terminal; according to the target service scenario, determining the target measurement strategy, so that the terminal adopts the target measurement strategy to obtain radio frequency fingerprint data. On the one hand, by determining the target service scenario according to the target application and the real-time environment, the terminal can intelligently adjust the network parameters and measurement strategy to meet the needs of the communication service, which helps to improve the network performance and user experience. On the one hand, the terminal dynamically selects the target measurement strategy according to the first real-time information, realizing the adaptive adjustment to different scenarios, which means that the terminal can flexibly respond to different environmental conditions (such as network congestion, high traffic and low traffic), thereby improving the measurement performance of radio frequency fingerprint data.

BRIEF DESCRIPTION OF THE DRAWINGS

The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present application and are used together with the specification to illustrate the technical solution of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations/steps, nor must they be executed in the order described. For example, some operations/steps can be decomposed, and some operations/steps can be combined or partially combined, so the actual execution order may change according to actual conditions.

FIG1 is a schematic diagram of an architecture of an application scenario of an optional method for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG2 is a flow chart of an optional method for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG3 is a second flow chart of an optional method for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG4 is a third flow chart of an optional method for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG5 is a schematic diagram of an application framework of an optional method for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG6 is a schematic diagram of an optional working channel and scanning channel provided in an embodiment of the present application;

FIG. 7 is a second schematic diagram of an application framework of an optional method for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG8 is a schematic diagram of the composition structure of an optional device for measuring radio frequency fingerprint data provided in an embodiment of the present application;

FIG. 9 is a schematic diagram of the composition structure of an optional terminal provided in an embodiment of the present application.

DETAILED DESCRIPTION

In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

In the following description, references to “some embodiments”, “embodiments of the present application”, “embodiments of the present application” and examples, etc., describe a subset of all possible embodiments, but it can be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.

If similar descriptions of "first/second" appear in the application documents, the following instructions are added. In the following description, the terms "first\second\third" involved are merely used to distinguish similar objects and do not represent a specific ordering of the objects. It can be understood that "first\second\third" can be interchanged in a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

Unless otherwise defined, all technical and scientific terms used in this application have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used in this application are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

Location-based services (LBS) use various types of positioning technologies to obtain the current location of positioning devices, and provide information resources and basic services to positioning devices through the mobile Internet. LBS readers can first use positioning technology to determine their own spatial location, and then readers can obtain location-related resources and information through the mobile Internet. LBS services integrate multiple information technologies such as mobile communications, the Internet, spatial positioning, location information, and big data, and use mobile Internet service platforms to update and interact with data, so that users can obtain corresponding services through spatial positioning.

Specifically, LBS uses a variety of positioning technologies to determine the spatial location of a device, including global satellite positioning systems (such as GPS), Wi-Fi positioning, Bluetooth positioning, base station positioning, etc. LBS obtains the location information of the device so that users can obtain services related to their current location. This can include nearby businesses, geo-tags, map navigation, etc. The core of LBS is to provide services through the mobile Internet. Users can connect to the Internet through mobile devices (such as smartphones and tablets) to obtain location-related services. LBS services integrate a variety of information technologies, including communication technology, Internet technology, spatial positioning technology, location information processing technology, and big data analysis technology. LBS usually relies on a mobile Internet service platform, which is a platform that integrates location data, map services, user information, and other related data to provide LBS services. LBS services ensure accurate and real-time location-related services by continuously updating location information and interacting with users. LBS aims to enhance user experience and enable users to more conveniently obtain information about their location, such as finding nearby restaurants, shops, public transportation, etc. In general, LBS has a wide range of applications in many fields, including navigation, social media, business promotion, geographic information system (GIS), etc. By utilizing location information, LBS provides users with a more personalized and practical service experience.

Although outdoor positioning technology has matured and started to be widely used, indoor positioning technology, as the end of positioning technology, has been developing relatively slowly. As modern people spend more and more time indoors, the prospect of indoor positioning technology is also very broad. Wi-Fi positioning technology relies on the popularity of Wi-Fi routers and mobile terminals, so that the positioning system can share the network with other customers, the hardware cost is very low, and the positioning function can be realized in a wide range of application fields.

Specifically, Wi-Fi positioning technology uses existing Wi-Fi infrastructure, such as routers and mobile terminals, without the need for additional hardware investment, thereby reducing the cost of indoor positioning systems. Wi-Fi technology has been widely used in most indoor environments, including homes, commercial venues, schools, etc. This popularity provides coverage for Wi-Fi positioning. With the development and improvement of Wi-Fi technology, the positioning accuracy of indoor positioning systems has also improved. By adopting advanced signal processing algorithms and machine learning technologies, the location of mobile devices can be determined more accurately. Wi-Fi positioning technology can provide real-time positioning information and is suitable for application scenarios that require real-time location data, such as indoor navigation, conference room management, etc. Wi-Fi positioning systems can achieve multi-level positioning, including floor-level positioning, which is very important for navigation and location management in large buildings. Wi-Fi positioning technology can be applied to multiple fields, including retail, healthcare, logistics management, indoor navigation, security monitoring, etc. In general, with the increase in demand for indoor positioning, Wi-Fi positioning technology continues to evolve, and other indoor positioning technologies have also emerged, such as Bluetooth low energy (BLE) positioning, ultrasonic positioning, etc., to meet the positioning accuracy and stability of different scenarios and needs.

However, in the related technology, the protocol stipulates different scanning methods, but there are many limitations in actual application scenarios. Current smart terminals are installed with more and more applications, and these applications often contain services that need to trigger Wi-Fi scanning. Limited by the Wi-Fi service experience and power consumption, most smart terminal providers will make platform restrictions to restrict background applications from requesting Wi-Fi scanning, affecting the functional experience of background applications. Specifically, on the one hand, Wi-Fi scanning is a relatively power-consuming operation, especially when the device scans frequently. In order to extend battery life, smart terminal manufacturers may limit the frequent requests for Wi-Fi scanning by background applications. On the one hand, avoiding frequent triggering of Wi-Fi scans by background applications helps maintain the overall performance of the device. Frequent scanning may occupy the processing resources of the device and affect the operation of other applications.

Based on this, in order to solve the problem of low performance of measuring radio frequency fingerprint data in related technologies, an embodiment of the present application provides a method for measuring radio frequency fingerprint data, which enables an electronic device (terminal) to fully adopt an intelligent measurement strategy according to different business scenarios, thereby improving the measurement performance of radio frequency fingerprint data. The following describes an exemplary application of the electronic device provided by the embodiment of the present application. The electronic device provided by the embodiment of the present application can be implemented as various types of user terminals such as laptop computers, tablet computers, desktop computers, set-top boxes, mobile devices (e.g., mobile phones, portable music players, personal digital assistants, dedicated messaging devices, portable gaming devices), etc.

Refer to Figure 1, which is a schematic diagram of the architecture of an application scenario of an optional radio frequency fingerprint data measurement method provided in an embodiment of the present application. As shown in Figure 1, the communication system 10 may include: an electronic device 11 and a network device 12.

The electronic device 11 may include various laptops, tablet computers, desktop computers, set-top boxes, and other types of user terminal handheld devices (e.g., mobile phones, portable music players, personal digital assistants, dedicated messaging devices, portable gaming devices), vehicle-mounted devices, wearable devices (e.g., smart watches, smart bracelets, etc.), computing devices (e.g., laptops, tablet computers, and desktop computers, etc.) or other processing devices connected to a wireless modem, as well as various forms of user equipment, mobile stations (MS), etc. The network device 12 and the electronic device 11 communicate with each other through some air interface technology, such as a Uu interface.

The network device 12 can be an evolved NodeB (eNB), access point (AP) or relay station in a long-term evolution LTE system, or a base station in a 5G system (such as a gNB or a transmission point (TRP), etc. In the 5G NR-U system, a device with a base station function is called a gNodeB or gNB. With the evolution of communication technology, the description of "base station" may change. The network device 12 can also be a wireless controller, a mobile switching center, a relay station, an access point, a vehicle-mounted device, a wearable device, a hub, a switch, a bridge, a router or a network device in a future communication system in a cloud radio access network (CRAN) scenario, and can also be a base station in an NTN system (such as a gNB or a transmission point (TRP), a base station (Base Transceiver Station, BTS) in a global system of mobile communication (GSM) system or a code division multiple access (CDMA) system, or a wideband code division multiple access (Wideband Code Division Multiple Access) system. Access, WCDMA) system, etc., in this regard, the embodiment of the present application does not limit the network device 12.

Based on the schematic diagram of the application scenario of the method for measuring radio frequency fingerprint data shown in FIG1, the method for measuring radio frequency fingerprint data provided by the present application is implemented. See FIG2. FIG2 is a flowchart of an optional method for measuring radio frequency fingerprint data provided by an embodiment of the present application. It is applied to the electronic device 11 (i.e., the terminal) in FIG1. The following will be described in conjunction with the steps shown in FIG2. As shown in FIG2, the method for measuring radio frequency fingerprint data includes S101 to S103:

S101. When a target application belongs to a communication service and identification information of the target application does not exist in a preset application list, obtain first real-time information corresponding to the target application; wherein the target application is an application running on a terminal that needs to trigger a radio frequency scan; the preset application list is used to characterize the correspondence between the application and the service scenario; and the first real-time information characterizes the network performance and connection status of the current network environment.

In the embodiments of the present application, the communication service generally refers to the function of performing data interaction, communication, transmission, etc. between the application and the network.

In the embodiment of the present application, the communication service includes at least one of the following:

1) Network request and response: The application sends a request to the server using a network protocol (such as HTTP or HTTPS) to request data or perform specific operations. After receiving the request, the server generates a response and sends it back to the application. This communication mode is often used to obtain information from the server, update content, download files, etc.

2) Instant messaging: If the application provides real-time messaging capabilities, the communication service will involve instant messaging between users. For example, instant messaging can include the transmission of text messages, images, audio, and video. Real-time messaging can be achieved by using instant messaging protocols (such as XMPP, WebSocket) or based on message push services.

3) Data synchronization: For applications that need to keep local and remote data synchronized, communication services involve uploading local changes to the server or obtaining the latest data on the server and updating the local database. For example, data synchronization can include cloud services, etc.

4) File upload and download: If the application allows users to upload or download files, the communication service will include the transmission of files, such as images, audio, and video files.

5) Remote control and management: Some applications need to communicate with remote devices for remote control or management. Communication services may include sending commands, obtaining device status, etc.

6) Location data transmission: If the application needs to obtain or transmit location information, the communication service may include the use of positioning services and the transmission of location data to servers or other devices.

7) Social media integration: The application may be integrated with social media platforms to allow users to share content in the application, log in using social accounts, etc. Communication services will involve the use of social media APIs for data transmission and identity authentication.

It should be noted that the communication services listed above are only examples, and other communication services may also be included in actual application scenarios, and the embodiments of the present application do not impose any limitations on this.

In the embodiment of the present application, the identification information of the target application refers to a set of information that can uniquely identify the target application.

In an embodiment of the present application, the identification information of the target application includes at least one of the following:

1) Application package name: Each Android application has a unique package name, similar to the package name in Java.

2) Application Name: The name of the application is the name displayed on the user interface and is an important identifier for users to identify the application. Different applications usually have unique application names.

3) Application version number: The application version number identifies the specific version of the application, usually including the major version number, minor version number and revision number, such as 1.2.3. The change in the version number is used to distinguish different versions of the application.

4) Application ID: The application ID is a unique identifier assigned by the developer when the application is registered. On some platforms, this may be the same as the package name of the application, while on other platforms it may be another unique identifier.

5) Digital Signature: The digital signature of an application is a mechanism used by developers to prove the authenticity and integrity of the application. The digital signature is generated by signing the application using the developer's private key.

6) Application Description: The application description is a brief description of the application's functions, features, and uses. On platforms such as app stores, this description is usually used to introduce the application to users.

It should be noted that the identification information of the target application helps to ensure that the target application can be uniquely identified and marked in different scenarios.

In the embodiments of the present application, the preset application list generally refers to a predefined or configured application list, which is used to characterize the correspondence between the application and the business scenario. Exemplarily, the preset application list can correspond to different applications according to the business scenario. For example, a group of applications is divided into business scenarios such as entertainment-related, office-related, and health-related.

In the embodiment of the present application, the target application is an application running on the terminal that needs to trigger RF scanning, which means that the target application runs on the terminal device and it has the need to perform certain functions or operations by triggering RF scanning.

Exemplarily, the target application may use Wi-Fi radio frequency scanning for indoor positioning. By scanning the surrounding Wi-Fi signals, the application can identify the location of the terminal device and provide indoor navigation or location-related services. The target application may evaluate the quality of the surrounding Wi-Fi network by triggering radio frequency scanning, and optimize the device's Wi-Fi connection based on the scanning results to provide better network performance. The target application may need to scan the surrounding Wi-Fi signals regularly to monitor changes in the device's environment. This can be used for applications such as environmental awareness and smart home control. The target application may use Wi-Fi radio frequency scanning to obtain the device's precise location information to provide location-related services, such as information about nearby stores, restaurants, attractions, etc. The target application may use Wi-Fi radio frequency scanning to determine the device's location within a building to provide indoor navigation and path planning.

In the embodiment of the present application, the first real-time information represents the network performance and connection status of the current network environment, that is, the terminal device obtains the real-time information of the currently connected network. Exemplarily, the first real-time information includes at least one of the following:

1) Network Type: Indicates the type of network the device is currently connected to, such as Wi-Fi, mobile data (4G/5G), Bluetooth, etc. Different network types have different performance characteristics.

2) Signal Strength: Indicates the signal strength of the network to which the device is currently connected. For Wi-Fi and mobile data connections, signal strength can affect network performance and stability.

3) Network Speed: It indicates the data transmission speed of the current network of the device, including uplink speed and downlink speed. For some business scenarios, speed may be a key factor.

4) Latency: It characterizes the delay or latency of the network, that is, the time interval between sending data and receiving data. Low latency is important for applications such as real-time communication and games.

5) Packet Loss Rate: It indicates the proportion of data packets lost during data transmission. A high packet loss rate may affect the quality of the network connection.

6) Connection Status: Indicates the current connection status between the device and the network, such as whether it is connected, connection stability, etc.

7) IP Address: It represents the IP address assigned to the device in the current network. In some cases, the IP address may be used to identify the location of the device in the network.

8) Data Usage: Indicates the current network traffic usage of the device, including the amount of data uploaded and downloaded.

It should be noted that the first real-time information listed above is only an example, and other real-time information may also be included in actual application scenarios, and the embodiments of the present application do not impose any limitation on this.

In an embodiment of the present application, first, the terminal identifies whether the currently running application belongs to a communication service by some means (such as a system API, an application monitoring tool, etc.). For example, it can be done by checking the type, function, network request, etc. of the application. Then, the terminal verifies whether the identification information of the target application exists in the preset application list. The preset application list is a predefined list containing known applications and their identification information. If the target application is in this list, the first real-time information can be obtained according to the preset configuration. Subsequently, if the identification information of the target application does not exist in the preset application list, the system may obtain the first real-time information through the corresponding API or tool according to the characteristics that the target application belongs to the communication service. For example, real-time data related to network status, connection information, performance parameters, etc. can be obtained. Further, based on the first real-time information obtained, the system can determine the business scenario in which the terminal device is currently located, involving data analysis of network performance, connection status, etc. Further, according to the target business scenario, the system can formulate a corresponding target measurement strategy, including whether it is necessary to trigger radio frequency scanning, adjust network connection parameters, etc., to meet the needs of the communication service.

It is understandable that the purpose of the above process is to obtain real-time information related to the business scenario based on the application currently running on the terminal device, especially the communication business application, and take corresponding measures based on this information to optimize the network connection or provide better services. This dynamic adjustment can change in real time according to the characteristics of the application and the network environment to provide a better user experience.

S102: Determine a target service scenario of the terminal based on the first real-time information.

In an embodiment of the present application, the terminal performs real-time data analysis on the first real-time information obtained, including evaluation and analysis of indicators in terms of network performance, connection status, signal strength, etc. Further, based on the analysis results of the real-time data, the system may use predefined rules or algorithms to identify the business scenario in which the terminal is currently located. For example, if the network speed is slow and the latency is high, it may be in a scenario of high traffic or network congestion. Further, the terminal analyzes the user's current behavior, such as whether a specific communication tool is being used, frequent network requests, etc. This helps to determine the business scenario more accurately. Further, based on the analysis of real-time data and business scenarios, the terminal can set some thresholds or rules to determine when further optimization or adjustment is needed. Based on the above information, the system finally determines the current target business scenario of the terminal. This may be a combination of one or more business scenarios, depending on the system design and business requirements. Once the target business scenario is determined, the system may trigger the corresponding business policy. This may include operations such as adjusting network parameters, triggering radio frequency scanning, and optimizing data transmission to adapt to current business needs and network environment.

In an embodiment of the present application, the terminal can determine the distance between the terminal device and the Wi-Fi router by analyzing the Wi-Fi signal strength. Weak signal strength may indicate that the device is far from the router, which may affect the network speed and connection stability. The terminal can analyze whether the channel currently connected to Wi-Fi is congested. Channel congestion may cause network speed to decrease and delay to increase, especially in high-density Wi-Fi areas. The terminal can examine the rate of the Wi-Fi connection, that is, the maximum transmission rate between the device and the Wi-Fi network. A lower rate may indicate that the current network environment is not ideal. The terminal can analyze the frequency band in which the Wi-Fi connection is located, such as 2.4GHz or 5GHz. Different frequency bands may be interfered to different degrees, and may also affect the signal penetration ability. The terminal can analyze the stability of the Wi-Fi connection, including the frequency of disconnection, the speed of reconnection, etc. An unstable connection may cause business interruption and a decrease in user experience. The terminal can obtain the IP address and gateway information of the Wi-Fi connection, which helps to understand the subnet where the device is located and the factors that may affect network communication. The terminal can analyze the traffic usage of the Wi-Fi connection to understand the current network load. High traffic may indicate a busy network, and corresponding adjustments may be required.

It is understandable that based on the analysis of Wi-Fi real-time information (first real-time information), the system can determine the business scenario in which the terminal is currently located. For example, if the signal strength is weak, the rate is low, and the channel is congested, it may be in a low-traffic or network-congested scenario. The system can adopt corresponding strategies based on this information, such as adjusting connection parameters, optimizing data transmission, etc., to provide a better business experience. This real-time analysis of Wi-Fi information helps intelligent network optimization and improves user experience.

S103: Determine a target measurement strategy according to a target service scenario, so that the terminal adopts the target measurement strategy to obtain radio frequency fingerprint data.

In an embodiment of the present application, the terminal monitors the business scenario in which the terminal is currently located in real time. The terminal selects a pre-defined target measurement strategy based on the detected business scenario. For example, a more frequent RF scan may be selected in a high-traffic scenario, while the scanning frequency may be reduced in a low-traffic scenario to reduce power consumption. Further, the terminal configures the RF measurement parameters for the selected target measurement strategy. Further, the terminal triggers the terminal to perform RF scanning according to the configured target measurement strategy. Further, during the RF scanning process, the terminal collects relevant information about the surrounding Wi-Fi signals, including signal strength, frequency, MAC address, etc., to construct RF fingerprint data. Further, according to business needs, the terminal needs to upload the collected RF fingerprint data to the server or cloud for further analysis, location positioning or network optimization. Further, the terminal can regularly evaluate the business scenario and adjust the target measurement strategy according to changes in the network environment and terminal status. The above process can be an adaptive process to ensure that the system can adapt to changing conditions in a timely manner. Through the above process, the terminal can actively obtain RF fingerprint data according to the target measurement strategy. This dynamic adjustment and selection of measurement strategies enable the system to flexibly respond to different network scenarios, thereby providing better user experience and network performance.

In an embodiment of the present application, the terminal may determine when to trigger the RF scan according to the needs of the business scenario. For example, in a high-traffic scenario, more frequent scanning may be required to obtain more accurate RF fingerprint data, while in a low-traffic scenario, the scanning frequency may be reduced to reduce power consumption. The terminal may formulate a suitable channel selection strategy based on the usage of the Wi-Fi channel and the target business scenario, and may need to avoid congested channels and select channels with better performance. In the target business scenario, the terminal may optimize Wi-Fi connection parameters, such as adjusting the transmission rate, signal strength threshold, etc., to adapt to the current environment and improve the connection stability. The terminal may determine the sampling strategy of the RF fingerprint, including the sampling time interval, the sampling signal strength threshold, etc. This helps to obtain effective RF fingerprint data in different scenarios. The terminal may formulate an adaptive adjustment strategy to dynamically adjust the RF measurement parameters according to real-time environmental changes to maintain the flexibility and adaptability of the system. When formulating the target measurement strategy, the terminal may consider the power consumption of the terminal and take measures to reduce power consumption, such as reducing the scanning frequency in a low-traffic scenario to extend the battery life of the terminal. After obtaining the RF fingerprint data, the data transmission strategy is determined, and the terminal may choose to upload data during low-traffic periods, or use different data transmission methods as needed.

It should be noted that the measurement strategy listed above is only an example. In actual application scenarios, other measurement strategies may also be included. The embodiments of the present application do not impose any limitation on this, and specific measurement strategies may be selected according to actual application scenarios.

It is understandable that the formulation of the target measurement strategy needs to comprehensively consider the business scenario, network environment and terminal device characteristics to balance the relationship between performance, user experience and power consumption. By formulating appropriate measurement strategies according to the target business scenario, intelligent network management and improved user experience can be achieved.

In an embodiment of the present application, a method for measuring radio frequency fingerprint data is provided, including: first, when the target application belongs to a communication service and the identification information of the target application does not exist in the preset application list, the terminal obtains the first real-time information corresponding to the target application. Then, the terminal determines the target service scenario of the terminal based on the first real-time information. Finally, the terminal determines the target measurement strategy according to the target service scenario, so that the terminal adopts the target measurement strategy to obtain radio frequency fingerprint data. On the one hand, by determining the target service scenario according to the target application and the real-time environmental conditions, the system can intelligently adjust the network parameters and measurement strategies to meet the needs of the communication service, which helps to improve the network performance and user experience. On the one hand, the terminal dynamically selects the target measurement strategy according to the first real-time information, realizing adaptive adjustment to different scenarios, which means that the system can flexibly respond to different environmental conditions (for example, network congestion, high traffic and low traffic), thereby improving the measurement performance of the system.

It is understandable that, on the one hand, by adopting strategies such as reducing the RF scanning frequency in low-traffic or static business scenarios, the system can effectively reduce the power consumption of the terminal, help extend the battery life of the device, and increase the use time of the terminal. On the one hand, by intelligently optimizing according to the business scenario, the system can provide a more stable and faster network connection, thereby enhancing the user experience in communication services, and reducing network latency and improving data transmission efficiency help improve user satisfaction. On the one hand, adopting different measurement strategies for different communication business scenarios can make network resources more efficiently utilized. For example, more frequent RF measurements in high-traffic scenarios can help to more accurately understand the network status and needs, so as to better adjust resource allocation. On the one hand, by automatically obtaining the first real-time information, determining the business scenario, and formulating the measurement strategy, the system realizes automated network management, which reduces the user's manual intervention and improves the intelligence and adaptability of the system.

In general, the above process can help achieve intelligent network optimization, reduce power consumption, improve user experience and efficiently utilize network resources, thereby achieving more intelligent and efficient communication system operation.

In some embodiments of the present application, based on FIG. 2 , as shown in FIG. 3 , the implementation before determining the target measurement strategy according to the target service scenario in S103 may also include S104 and S105:

S104: When the target application belongs to a positioning service, determine second real-time information of the terminal; wherein the second real-time information represents a network load and a network capacity of the terminal.

In the embodiments of the present application, the positioning service generally refers to an application using a location service to obtain the user's current location or to provide location-related functions and services.

The target application program that provides the positioning service in the embodiment of the present application includes at least one of the following:

1) Navigation application: Provides map, navigation and route planning services to help users find their destination and provide navigation guidance.

2) Social media applications: Use location information to display the user's location on a map, or provide information about nearby friends, activities, or businesses.

3) Sports tracking application: Track the user's movement trajectory, steps, distance and other information through positioning services for fitness and sports activities.

4) Location sharing applications: allow users to share their location information, such as during specific events or meetings.

5) Geo-tagging application: allows users to add or view tags at specific locations, such as leaving comments or sharing their feelings at restaurants, attractions, etc.

6) Life service applications: Provide location-based life services, such as coupons from nearby businesses, takeaway services, etc.

7) Security applications: Use location information to provide some security-related functions, such as emergency rescue, locating missing items, etc.

8) Virtual reality (VR) and augmented reality (AR) applications: Use location information to achieve a more realistic and immersive virtual or augmented reality experience.

It should be noted that the target applications listed above that provide positioning services are only examples. These applications use the built-in positioning technology of the device (such as GPS, Wi-Fi positioning, Bluetooth positioning, etc.) to obtain the user's geographic location information and provide related services and functions based on this information. In actual application scenarios, other applications for positioning services may also be included, and the embodiments of this application do not impose any restrictions on this.

In an embodiment of the present application, the second real-time information characterizes the network load and network capacity of the terminal. Among them, network load refers to the degree of current network use, that is, the overall situation of data transmission activities on the network. The terminal can monitor the current network connection status, including the number of established connections, the amount of ongoing data transmission, network bandwidth utilization, etc. The second real-time information needs to reflect the network load of the terminal in real time so that the system can make decisions based on actual conditions. Network capacity refers to the maximum amount of data transmission supported by the network, that is, the overall capacity of the network. The terminal can obtain the capacity information of the current network, including network bandwidth, available spectrum, etc., which requires communication with the underlying network system, or obtaining it using the relevant interfaces provided by the system. Like network load, network capacity information needs to reflect the capabilities of the current network in real time.

In an embodiment of the present application, the acquired network load and network capacity information is integrated into the second real-time information, which can be a data structure or data packet containing the network load and capacity, so as to facilitate the system to conduct comprehensive analysis. In the positioning service scenario, the real-time information of network load and network capacity may affect the positioning precision and accuracy. Higher network load or lower network capacity may increase network delay, thereby affecting the performance of positioning services.

It can be understood that by comprehensively considering network load and network capacity information, the system can manage network resources more intelligently and ensure better service quality in positioning business scenarios.

It can be understood that the second real-time information can help the system better understand the current network environment of the terminal in the positioning business scenario, so as to adopt appropriate strategies to optimize the use of positioning services and network resources, which helps to improve positioning accuracy, reduce latency and enhance user experience.

S105: Determine a target service scenario of the terminal based on the second real-time information.

In an embodiment of the present application, the terminal can use the network load data in the second real-time information to analyze the usage of the current network. For example, a higher network load may indicate that the current network resources are limited, while a lower network load may indicate that the network resources are relatively idle. Further, the terminal can use the network capacity data in the second real-time information to evaluate the overall capacity of the current network. Further, the terminal can combine the analysis of network load and network capacity to evaluate the demand for positioning services in the current network environment. In the case of high network load or low network capacity, it may be necessary to optimize the positioning service strategy to reduce the dependence on network resources. Further, the terminal can determine the business scenario in which the current terminal is located based on a comprehensive analysis of network load, network capacity and positioning service requirements. For example, if the network resources are relatively idle and the positioning service requirements are high, it may be a scenario that requires high-precision positioning. Further, the terminal can formulate a target business scenario based on the judgment of the current network status and positioning service requirements. This may include adjusting the positioning algorithm, increasing the positioning frequency, optimizing the data transmission method, etc. to adapt to the current network environment. In actual applications, the system may need to adjust the target business scenario in real time to adapt to changes in the network environment, including dynamically adjusting the positioning frequency according to the real-time network load, or using different positioning algorithms to adapt to fluctuations in network resources.

In the embodiment of the present application, through the above steps, the system can achieve smarter and more flexible business management in the positioning business scenario to improve the efficiency and accuracy of the positioning service, which helps to optimize the terminal's business experience in different network environments.

It can be understood that, on the one hand, by analyzing the network load and network capacity, the system can better understand the current network usage and capacity status, which helps to optimize the positioning service, make more effective use of available network resources, and improve the efficiency of the positioning service. On the one hand, when the network resources are relatively sufficient, the system can adjust the positioning service strategy, increase the positioning frequency, or use a more accurate positioning algorithm to improve the accuracy and quality of the positioning service. On the one hand, according to the network status in the second real-time information, the system can adjust the target business scenario in real time to adapt to changes in the network environment, which helps to provide more flexible and intelligent positioning services under dynamic network conditions. On the one hand, when network resources are limited or the network capacity is low, the system can take measures to reduce dependence on network resources, thereby reducing the power consumption of the terminal and reducing the delay in data transmission. On the one hand, by adjusting the positioning service strategy according to the real-time network status, the system can provide a positioning experience that is more in line with user expectations. For example, higher-precision positioning is provided under high network capacity conditions, and the demand for network resources is reduced when the network capacity is low to ensure the stability of the user experience. On the one hand, the system can formulate an adaptive positioning strategy based on real-time information of network load and capacity, so as to achieve the best positioning performance under different network conditions.

In general, determining the target business scenario of the terminal based on the second real-time information helps to improve the intelligence, adaptability and efficiency of positioning services and provide users with a better positioning experience, which has a positive impact on balancing accuracy, power consumption and latency in different network environments.

In some embodiments of the present application, the target business scenario includes: a first business scenario and a second business scenario; the first business scenario represents the terminal activities within a first range; the second business scenario represents the terminal activities within a second range; the second range is larger than the first range; the second real-time information includes: current device information of at least one network device that establishes a connection with the terminal.

In the embodiment of the present application, the first business scenario represents that the terminal is active within a first range, and the second business scenario represents that the terminal is active within a second range, and the second range is larger than the first range.

In an embodiment of the present application, the first range may refer to a smaller geographical area, such as inside a building, a room, or a community. The second range may refer to a larger geographical area, such as an entire city, a region, or a larger group of buildings. The activity of the terminal in the first business scenario may represent movement in a relatively small area, such as inside a building or a small community. The second business scenario represents activity in a larger range, which may require the terminal to move in a wider geographical range, possibly across multiple buildings, blocks, or communities.

In the embodiments of the present application, changes in business scenarios may mean that the system needs to adapt different positioning strategies in different positioning scenarios. In the first range, more accurate indoor positioning may be required, while in the second range, more emphasis may be placed on large-scale outdoor positioning. The first business scenario and the second business scenario may have different requirements for the accuracy, latency, power consumption, etc. of the positioning service. The system may need to adjust the positioning algorithm and parameters according to the characteristics of different business scenarios.

In some embodiments of the present application, as shown in FIG. 4 , determining the implementation of the target service scenario of the terminal based on the second real-time information in S105 may include S1051 to S1053:

S1051. Determine, based on current device information, a device change rate corresponding to at least one network device connected to the terminal within a preset time period.

In the embodiment of the present application, the terminal can collect and obtain the device information of the current terminal, which may include connected Wi-Fi devices, Bluetooth devices, mobile network devices, etc. Further, the terminal determines the time period to be analyzed, that is, the preset time period, which can be a fixed time period, such as every hour, every day, or different time periods set according to business needs.

In an embodiment of the present application, the device change rate refers to the rate or degree at which the connection state of a device changes within a certain time range. This can be calculated by comparing the device connection states at different time points. The device change rate usually involves indicators such as the number of devices connected or disconnected, the change in the total number of devices, etc. Exemplarily, first, the terminal records the currently connected device information at the start time point, including connected Wi-Fi devices, Bluetooth devices, etc. Then, the terminal records the changes in the device state at subsequent time points, including newly connected devices, disconnected devices, etc. Subsequently, the terminal calculates the number of changes in the device state within a preset time period, which can be divided into the number of newly added devices, the number of disconnected devices, etc. Further, the terminal compares the number of device state changes with the total number of devices or the starting number of devices to calculate the device change rate. It is usually expressed as a percentage or other suitable proportion. For example, device change rate = (number of device state changes/starting number of devices) × 100.

In an embodiment of the present application, the terminal regularly records or samples the currently connected network device information within a preset time period. This includes the number of connected Wi-Fi devices, the number of Bluetooth devices, etc. Further, by comparing the device information at adjacent time points, the device change rate is calculated. The device change rate can represent the change in the device connection status within a preset time period, and the calculation method can be the number of newly added devices, the number of disconnected devices, the change in the total number of devices, etc. Further, the terminal can analyze the device change rate to understand the trend and pattern of the device connection status. For example, whether there is a large change in device connection within a specific time period, or whether there is a periodic connection pattern. Further, based on the analysis results of the device change rate, the system can determine the business scenario in which the current terminal is located. For example, in the case of a large change in device connection, it may be that the user is moving or switching between different network environments.

S1052: When the device change rate is less than or equal to a first threshold, determine that the target business scenario is a first business scenario.

S1053: When the device change rate is greater than the first threshold, determine that the target business scenario is a second business scenario.

It should be noted that S1052 and S1053 are parallel technical solutions, and either one can be executed, that is, the terminal can execute S1052 or S1053.

In an embodiment of the present application, when the device change rate is less than or equal to the first threshold, the target business scenario is determined to be the first business scenario, indicating that when the device connection state is relatively stable, the terminal is in a relatively static or low-changing business scenario. For example, at a fixed location, the user device connection state changes little. When the device change rate is greater than the first threshold, the target business scenario is determined to be the second business scenario, indicating that when the device connection state changes greatly, the terminal is in a more dynamic or highly changing business scenario. For example, when the user moves or switches the network environment, the device connection state may change frequently.

In the embodiment of the present application, the setting of the first threshold may be based on actual scenarios and business requirements, and may be a fixed value or may be obtained based on historical data, statistical analysis, etc.

In the embodiment of the present application, the device change rate is used as the basis for scene judgment, which can help the system dynamically adjust the service strategy according to the real-time device connection status. For example, when the device change rate is small, the system may choose a more stable positioning algorithm or reduce the use of network resources. Based on the judgment of the target business scenario, the system can adjust the corresponding business strategy to provide services that better meet the needs of the scenario. This includes adjusting the positioning frequency, optimizing data transmission, etc.

It is understandable that, on the one hand, by monitoring the rate of change of the device connection status, the system can dynamically adapt to different business scenarios. Such intelligent adjustments can improve the flexibility of the system and make it better adapt to the needs of users in different environments. On the one hand, in business scenarios with a small rate of device change, the system can adopt a more power-saving strategy to reduce unnecessary resource consumption, which helps to extend the battery life of the terminal device and reduce power consumption. On the one hand, scene judgment based on the rate of change of the device connection status can enable the system to more accurately select algorithms and strategies suitable for the current situation, thereby improving the accuracy and efficiency of positioning, communication or other services. On the one hand, adopting appropriate strategies for different business scenarios can improve user experience. For example, in a static business scenario, the system can adopt a lower frequency of positioning updates to reduce interference to users, while in a dynamic scenario, the update frequency can be increased to maintain accuracy. On the one hand, different business scenarios may require different business optimization strategies. By dynamically judging the business scenario, the system can adjust the optimization strategy to provide services that better meet user expectations and needs.

In general, by intelligently judging business scenarios based on the device change rate, the system can respond to different environments and user behaviors more flexibly and intelligently, provide a better user experience, and reduce power consumption and resource consumption to a certain extent.

In some embodiments of the present application, the second business scenario includes: a first sub-business scenario and a second sub-business scenario; the method further includes S1054 to S1056:

S1054: When the target business scenario is the second business scenario, determine the state information of the terminal according to third real-time information of the terminal; wherein the third real-time information represents real-time behavior data related to the motion state of the terminal.

In the embodiment of the present application, the status information of the terminal refers to the current motion state of the terminal device, including whether the device is stationary, walking, running, etc.

In an embodiment of the present application, the third real-time information represents real-time behavior data related to the motion state of the terminal, and refers to real-time data used to describe the current motion state of the terminal. The third real-time information usually comes from various sensors on the terminal, such as a gyroscope (Gyroscope sensor), an acceleration sensor (Acceleration sensor), etc. The above-listed sensors can sense and measure the motion and posture of the device.

Specifically, the gyroscope sensor is used to measure the rotation speed and angle change of the device. The gyroscope data can be used to understand the rotation state of the device and thus determine the motion state of the terminal, such as stationary, rotating, and turning. The acceleration sensor is used to measure the acceleration of the device on each axis. The acceleration data can be used to infer the linear motion state of the device, such as walking, running, etc. The magnetometer sensor is used to measure the magnetic field strength around the device. Combined with other sensor data, it can be used to further accurately determine the direction and position of the device. The direction sensor can provide the current direction information of the device, including the orientation and tilt of the device. This information helps to more accurately identify the motion state of the device.

S1055: When the status information indicates that the terminal is in a stationary state, determine that the target service scenario is a first sub-service scenario.

S1056: When the status information indicates that the terminal is in motion, determine that the target service scenario is a second sub-service scenario.

In the embodiment of the present application, when the status information indicates that the terminal is in a stationary state, determining the target service scenario as the first sub-service scenario means that the system recognizes that the terminal is not currently in obvious motion, and the user may be stationary. When the status information indicates that the terminal is in motion, determining the target service scenario as the second sub-service scenario means that the system recognizes that the terminal is in motion, and the user may be walking, running, etc.

In the embodiments of the present application, the above-mentioned business scenario judgment can produce different behaviors in different applications. For example, in a health monitoring application, when the terminal is in a stationary state, the system may record the user's rest time, and in a moving state, the system may start to record the user's steps or running distance. In a navigation application, when the user is stationary, the system may display a map of the current location, and when in motion, the system may provide navigation guidance.

It can be understood that, on the one hand, by utilizing the third real-time information, the system can more accurately identify the motion state of the terminal, including stillness, walking, running, etc., which helps to provide a more accurate user experience and service. On the other hand, based on accurate motion state information, the application can adjust its behavior and functions to better adapt to the user's current activity needs. In general, by dynamically adapting to the target business scenario and state information, the system can better meet the needs of users, improve user experience, and be more efficient in resource utilization.

In some embodiments of the present application, the target business scenario also includes: a third business scenario and a fourth business scenario; the traffic level of the third business scenario is greater than the traffic level of the fourth business scenario; the first real-time information includes: the current transmission rate and the current signal strength.

In an embodiment of the present application, when the target business scenario is the third business scenario, the situation where the traffic level is greater than that of the fourth business scenario indicates that in the third business scenario, the data traffic generated by the terminal is larger. In comparison, the data traffic generated in the fourth business scenario is smaller.

In an embodiment of the present application, for the third business scenario (i.e., a high-traffic scenario), the terminal may perform tasks that require a large amount of data transmission in this scenario, such as watching high-definition videos, playing online games, etc. In this case, the system may need to optimize the allocation of network resources to ensure that users have a better experience in high-traffic scenarios. For the fourth business scenario (i.e., a low-traffic scenario), the terminal may perform some tasks with smaller data transmission in this scenario, such as simple web browsing, receiving text messages, etc. In this case, the system can manage network resources more conservatively to reduce power consumption and network bandwidth consumption. By setting the third business scenario and the fourth business scenario, the terminal can more effectively meet the needs of users according to different usage scenarios and achieve a better balance in network resource utilization.

In the embodiment of the present application, the current transmission rate indicates the current data transmission rate between the terminal and the Wi-Fi network. This information reflects the performance of the network. The higher the transmission rate, the better the network performance, and the faster the user can download or upload data. In the judgment of the business scenario, the network quality of the terminal connection can be evaluated according to the current transmission rate, so as to determine the appropriate business scenario.

In an embodiment of the present application, the current signal strength indicates the strength of the Wi-Fi signal currently received by the terminal. Signal strength is an indicator of the connection quality between the terminal and the Wi-Fi base station, usually in negative dBm units. The higher the signal strength (closer to 0), the stronger the signal and the better the connection quality. In business scenario judgment, the current signal strength can be used to determine the Wi-Fi coverage of the terminal's location and whether the business strategy needs to be adjusted.

It is understandable that the integration of the current transmission rate and the current signal strength information can more accurately evaluate the connection status between the terminal and the Wi-Fi network, which helps the system to make intelligent adjustments to the business scenario according to the real-time situation and improve the user experience. For example, when the transmission rate is low or the signal strength is poor, the system can select an appropriate business strategy to ensure the stability of the connection.

In some embodiments of the present application, determining the implementation of the target service scenario of the terminal based on the first real-time information in S102 may include S1021 and S1022:

S1021. When the current transmission rate is greater than or equal to the second threshold and the current signal strength is greater than or equal to the third threshold, determine that the target service scenario is the third service scenario.

S1022: When the current transmission rate is less than the second threshold, or the current signal strength is less than the third threshold, determine that the target service scenario is a fourth service scenario.

In the embodiment of the present application, the second threshold is a preset value.

In the embodiment of the present application, when the current transmission rate is greater than or equal to the second threshold, it indicates that the current data transmission rate between the terminal and the Wi-Fi network is relatively high and exceeds the set second threshold. This may indicate that the network environment in which the terminal is located is relatively good and has a relatively high network bandwidth. When the current signal strength is greater than or equal to the third threshold, it indicates that the Wi-Fi signal strength currently received by the terminal is relatively high and exceeds the set third threshold. A relatively high signal strength generally indicates that the terminal is relatively close to the Wi-Fi base station and has relatively good signal quality.

In the embodiment of the present application, the system determines that the target service scenario is the third service scenario, which means that the terminal is currently in an environment with good network performance and can support high-traffic services, such as high-definition video playback, online games, etc. If the current transmission rate is less than the second threshold, or the current signal strength is less than the third threshold, the system determines that the target service scenario is the fourth service scenario, which means that the network environment in which the terminal is located is poor and some strategies need to be adopted to optimize the user experience, such as reducing traffic requirements or selecting a low power consumption mode.

It can be understood that, on the one hand, by dividing the business scenarios into the third business scenario and the fourth business scenario, and making intelligent judgments based on the current transmission rate and signal strength, the system can achieve dynamic adjustment of the traffic level. When the network conditions are good, the system sets the target business scenario as the third business scenario and provides services with higher traffic to meet the user's demand for high-bandwidth services. On the contrary, when the network conditions are poor, the system adjusts to the fourth business scenario and adopts appropriate strategies to ensure connection stability, so that services can be provided even in a low-speed network environment. On the one hand, by intelligently adjusting the business scenarios according to the network conditions, the system can better adapt to different network environments and thus optimize the user experience. In a good network environment, users can enjoy richer multimedia content and high-bandwidth applications, while in a poor network, the system adopts appropriate strategies to reduce traffic requirements and ensure basic communications and services. On the one hand, by dynamically adjusting the business scenarios, the system can make more reasonable use of network resources. When the network conditions are good, the system allows services with higher traffic to make full use of the network bandwidth. When the network conditions are poor, the system helps to reduce the network load and improve the stability of the overall network by reducing the traffic level. In general, the above process can make the system more flexible and intelligent, and can make corresponding adjustments according to actual network conditions and user needs, thereby improving the system's adaptability and user experience.

In some embodiments of the present application, the method further comprises:

When the target application belongs to a communication service and the identification information of the target application exists in the preset application list, determining target candidate identification information matching the identification information from at least one candidate identification information in the preset application list;

The target service scenario of the terminal is determined according to the target candidate scenario corresponding to the target candidate identification information.

In an embodiment of the present application, first, the terminal system determines whether the target application belongs to a communication service, for example, it can be determined by the application's functions, communication protocols and other features. Communication services may include various applications that require data transmission and network connection, such as chat applications, social media, email clients, etc. Then, the terminal checks whether the identification information of the target application is in the preset application list to determine whether the target application is of interest to the system. The preset application list contains application identification information pre-defined by the system, such as application package name, application ID, etc. Further, if the identification information of the target application is in the preset application list, the terminal will select at least one candidate identification information from the preset application list, including application package name, application ID, etc. Finally, the terminal determines the target business scenario of the terminal based on the target candidate scenario corresponding to the target candidate identification information. The target business scenario reflects the business requirements and service characteristics related to a specific application.

It can be understood that, on the one hand, the system can provide personalized services to users according to the characteristics of different applications, ensuring that the user's expectations are met when using the target application. On the one hand, the system can perform more detailed network and resource optimization to provide better performance and user experience for the specific needs of different applications. On the other hand, the system dynamically adapts to the business scenario based on the definition of the target candidate scenario to ensure that the terminal can achieve the best performance when using the target application. In general, the above process helps the system better understand and adapt to the application currently used by the user, thereby providing more intelligent and personalized services.

In some embodiments of the present application, the target measurement strategy includes: a radio frequency scanning control mode; the radio frequency scanning control mode includes at least one of the following: a first control mode, a second control mode, a third control mode, a fourth control mode, a fifth control mode, a sixth control mode and a seventh control mode; wherein,

The first control mode is used to prohibit the terminal from actively requesting radio frequency scanning;

The second control mode is used to allow the terminal to perform radio frequency scanning of all available channels in a polling manner;

The third control mode is used to allow the terminal to perform radio frequency scanning of designated available channels in a polling manner;

The fourth control mode is used to allow the terminal to perform radio frequency scanning of all available channels and/or designated available channels in a polling manner;

The fifth control mode is used to allow the terminal to perform radio frequency scanning of all available channels within a specific frequency band in a polling manner;

The sixth control mode is used to allow the terminal to perform radio frequency scanning of designated available channels within a specific frequency band in a polling manner;

The seventh control mode is used to allow the terminal to perform radio frequency scanning of all available channels and/or designated available channels within a specific frequency band in a polling manner.

In an embodiment of the present application, the first control mode is also referred to as prohibiting request scanning Wi-Fi. Specifically, the first control mode is used to limit the behavior of the terminal actively initiating radio frequency scanning. This mode is designed to reduce power consumption and reduce the frequent triggering of the Wi-Fi scanning process, thereby improving the battery life of the terminal device. Typically, the terminal device actively sends a request to obtain information about the surrounding Wi-Fi networks when performing radio frequency scanning. This active request scan consumes the power of the device and may have a certain impact on the user experience, especially when background applications frequently scan. In the control mode of prohibiting request scanning, the system may limit or prohibit background applications from triggering Wi-Fi scans to avoid unnecessary power consumption. In this mode, the terminal device may only perform scanning under specific conditions or at time intervals controlled by the system to balance power consumption and user experience. Overall, the first control mode helps optimize the energy consumption management of the device by limiting scan requests, making it more intelligent and energy-saving.

In an embodiment of the present application, the second control mode is also referred to as polling scan all channels. Specifically, the second control mode allows the terminal to perform radio frequency scanning in a polling manner, covering all available channels. This mode is designed to comprehensively obtain information about the surrounding Wi-Fi networks to ensure that the device can obtain a more comprehensive network status and adapt to network changes on different channels. In the control mode of polling scan all channels, the terminal device will scan all available Wi-Fi channels in sequence according to a pre-set polling cycle. This helps to obtain more comprehensive wireless network environment information, including signal strength on different channels, the number of available networks, etc. This method can provide the terminal with more network options, improve connection quality, and adapt to changes in network topology. However, it should be noted that scanning all channels may increase power consumption because the terminal device needs to scan frequently on different channels. Therefore, when selecting this mode, it is necessary to balance power consumption and information acquisition to ensure that the device maintains a low power consumption level while obtaining sufficient information. In general, the second control mode provides more comprehensive Wi-Fi environment information by polling all channels to meet the needs of a comprehensive understanding of the network status in specific application scenarios.

In an embodiment of the present application, the third control mode is also referred to as polling scanning of designated channels. Specifically, it is used to allow the terminal to scan a specific Wi-Fi channel designated in advance in a polling manner. This mode is designed to selectively obtain network information on a specific channel to meet the needs of a specific scenario. In the control mode of polling scanning of designated channels, the terminal device will scan a specified set of Wi-Fi channels in sequence according to a pre-set polling cycle. Compared with full channel scanning, this method can reduce power consumption because the device only focuses on a pre-selected set of channels without scanning all possible channels. The application scenarios of this mode may include situations where there are specific network requirements on a specific frequency band. For example, some devices may be more concerned about the network status on a specific frequency band and ignore other frequency bands. The polling scanning designated channel mode can better meet the needs of specific application scenarios by selecting channels in a targeted manner. In general, the third control mode needs to select a suitable control mode according to the specific application scenario and requirements to balance power consumption and the purpose of obtaining information.

In an embodiment of the present application, the fourth control mode is also referred to as a composite mode of polling scanning channels. Specifically, the fourth control mode is to scan all channels first in one cycle, and then scan the designated channels in the remaining time. The fourth control mode allows the terminal to perform RF scanning in a polling manner, including two sub-modes: scanning all available channels and/or scanning designated available channels. The design of this composite mode is intended to balance the comprehensive understanding of the overall network environment and the selective attention to specific channels. In the composite mode of polling scanning channels, the terminal device may first scan all available channels in a scanning cycle, and then scan a set of pre-specified specific channels in the remaining time. In this way, it is possible to obtain information about the overall network environment and selectively pay attention to the network status on a specific channel. The application scenario of this mode may include having a certain understanding of the overall network environment while paying attention to the network status on a specific frequency band or channel. By reasonably selecting the scanning cycle and the designated channel method, a balance can be made between power consumption and information acquisition according to specific needs. In general, the composite method of the fourth control mode provides a means of flexibly switching between full channel scanning and designated channel scanning to meet the needs of different application scenarios.

In an embodiment of the present application, the fifth control mode is also referred to as scanning all channels in a specified frequency band. Specifically, the fifth control mode is used to allow the terminal to perform RF scanning of all available channels in a specific frequency band in a polling manner. This mode is designed to selectively obtain all possible network information in a specified frequency band to adapt to network changes in a specific frequency band. In this control mode, the terminal device will scan all available channels in the specified frequency band in sequence according to a pre-set polling cycle. Compared with full channel scanning, this method can reduce power consumption because the device only focuses on channels in a specific frequency band without scanning all possible channels. The application scenarios of this mode may include situations where there are specific network requirements in a specific frequency band. For example, some devices may be more concerned about the network status on a specific frequency band and ignore other frequency bands. The fifth control mode can better adapt to the needs of specific application scenarios by selectively scanning all channels in a specific frequency band.

In an embodiment of the present application, the sixth control mode is also referred to as scanning the designated channels in the designated frequency band. Specifically, the sixth control mode is used to allow the terminal to perform RF scanning of designated available channels within a specific frequency band in a polling manner. This mode is designed to selectively obtain network information of specific channels within the designated frequency band to adapt to network changes in specific frequency bands and channels. In this control mode, the terminal device will scan the designated available channels within the designated frequency band in sequence according to a pre-set polling cycle. Compared with full channel scanning, this method can further reduce power consumption because the device only focuses on the designated channels within the specific frequency band without scanning all possible channels. The application scenarios of the sixth control mode may include having specific network requirements within a specific frequency band and only caring about a part of the channels. By selectively scanning the designated channels within the designated frequency band, the sixth control mode can better adapt to the needs of specific application scenarios while reducing power consumption.

In an embodiment of the present application, the seventh control mode is also referred to as a composite mode of scanning a specified frequency band. Specifically, the seventh control mode is used to allow the terminal to perform RF scanning of all available channels and/or specified available channels within a specific frequency band in a polling manner. This mode is designed to allow the terminal to more flexibly and selectively obtain channel information within the specified frequency band to adapt to network changes in specific frequency bands and channels. In this control mode, the terminal device can scan all available channels and/or specified available channels within the specified frequency band in sequence according to a pre-set polling cycle. This composite mode allows all available channels to be scanned first in one cycle, and then the specified channels are scanned in the remaining time. The application scenario of the seventh control mode may include situations where there are different network requirements within a specific frequency band, and it is necessary to obtain information about all available channels and detailed information about the specified channels. The seventh control mode can better adapt to the needs of specific application scenarios by selectively scanning all channels and/or specified channels within a specific frequency band.

It is understandable that the target measurement strategy includes a radio frequency scanning control mode, and the radio frequency scanning control mode includes multiple options, such as a first control mode, a second control mode, a third control mode, etc. Such a design enables the system to select a suitable radio frequency scanning mode according to requirements in different working scenarios to achieve better performance and effect.

It is understandable that, on the one hand, different control modes are suitable for different application scenarios and requirements. By providing multiple control modes, the system has greater flexibility and can adjust the scanning method in different environments to meet the needs of specific scenarios. On the one hand, different control modes may have different effects on power consumption. By selecting the appropriate control mode, the power consumption of the system can be minimized while ensuring business needs, thereby extending the battery life of the terminal device. On the one hand, different control modes may have an impact on the accuracy of data acquisition and scanning efficiency. Selecting the appropriate control mode can improve scanning efficiency while maintaining high data accuracy, thereby better meeting the requirements of services such as positioning and communication.

In some embodiments of the present application, the target measurement strategy further includes: a channel allocation method; the channel allocation method includes at least one of the following: a first allocation method and a second allocation method: wherein,

The first allocation mode is used for the terminal to switch between the working channel and the scanning channel according to a preset scanning period; wherein the working channel is a channel used by the terminal for communication and data transmission, and the working channel is a channel scanned by the terminal when performing a radio frequency scanning operation;

The second allocation mode is used by the terminal to dynamically adjust the switching between the working channel and the scanning channel according to the load of the working channel data.

In the embodiments of the present application, the working channel refers to the channel used by the Wi-Fi device (terminal) during normal communication. In a Wi-Fi network, different frequency bands are divided into multiple channels, and the device (terminal) communicates by selecting a specific channel. The working channel is the channel used by the device when connecting and transmitting data. The scanning channel refers to the channel scanned by the Wi-Fi device when performing a radio frequency scanning operation. Radio frequency scanning is an operation that obtains wireless network information in the environment, including available channels and signal strength, by listening to the surrounding Wi-Fi signals without connecting to a specific network.

In an embodiment of the present application, in a Wi-Fi positioning system, a terminal may need to perform radio frequency scanning to collect signal information of the surrounding environment for positioning or other purposes. In this case, the terminal will use a scanning channel when performing a radio frequency scanning operation, and will use a working channel during normal communication.

In the embodiment of the present application, the first allocation mode is also referred to as a fixed mode, that is, both the working channel and the scanning channel work according to the scanning cycle. Specifically, in the first allocation mode, the terminal switches the working channel and the scanning channel according to a preset scanning cycle. This means that the terminal periodically switches the working channel and the scanning channel to perform the RF scanning operation. Such periodic switching can be fixed, that is, in each cycle, the terminal switches the working channel and the scanning channel in the same order.

In the embodiment of the present application, in the fixed mode, the working channel is the channel used by the terminal in normal communication, and the terminal performs data transmission and reception operations on each working channel. The scanning channel is the channel selected by the terminal when performing the RF scanning operation, and the RF scanning operation is used to obtain wireless signal information of the surrounding environment. The scanning period refers to the time interval between the terminal switching the working channel and the scanning channel in the fixed mode, and this period can be a pre-set fixed value, such as performing a RF scan at a certain interval.

In an embodiment of the present application, the second allocation mode is also referred to as an intelligent mode, that is, the polling mode of the working channel and the scanning channel is dynamically adjusted according to the working channel data load. For example, when the load is large, the scanning channel can be switched after every X working channel cycles are completed. Specifically, in the second allocation mode, the terminal dynamically adjusts the switching strategy of the working channel and the scanning channel according to the load of the working channel data. This mode allows the terminal to flexibly adjust the channel according to the real-time network conditions and load conditions to optimize the RF scanning operation. The key feature of the intelligent mode is that the terminal can dynamically adjust the switching mode of the working channel and the scanning channel according to the real-time working channel data load. For example, when the network load is large, a RF scan can be performed at regular intervals; when the network load is small, the scanning cycle can be extended.

It is understandable that the smart mode (the second allocation method) is more flexible than the fixed mode (the first allocation method) and can make dynamic adjustments based on real-time network conditions to better adapt to different environments and needs, thereby helping to improve the efficiency and performance of the Wi-Fi system.

It is understandable that the choice of channel allocation method can have a significant impact on the performance, efficiency and power consumption of the Wi-Fi system. The beneficial effect of using the intelligent mode is that it can dynamically adjust according to the real-time network load, making the system more flexible and adaptable to changes in different environments, helping to improve the efficiency of the system, reduce unnecessary scanning operations, thereby reducing power consumption and improving user experience.

In some embodiments of the present application, the implementation of determining the target measurement strategy of the radio frequency fingerprint data according to the target service scenario in S103 may include:

When the target service scenario is the first service scenario or the second sub-service scenario, the fourth control mode and the first allocation method are used as the target measurement strategy; or,

When the target service scenario is the first sub-service scenario, the third control mode and the first allocation method are used as the target measurement strategy; or,

When the target service scenario is the third service scenario or the fourth service scenario, any one of the first control mode, the third control mode and the fourth control mode and the second allocation method are used as the target measurement strategy; or,

When the target service scenario is the fifth service scenario, any one of the sixth control mode and the seventh control mode and the first allocation method are used as the target measurement strategy, wherein the fifth service scenario represents that the terminal is in a frequency band switching mode.

In an embodiment of the present application, when the target business scenario is the first business scenario or the second sub-business scenario, the target measurement strategy can adopt a polling scanning channel, a composite mode (fourth control mode), and switch the working channel and the scanning channel according to a preset scanning period (first allocation method). When the target business scenario is the first sub-business scenario, the target measurement strategy can adopt a polling scanning designated channel mode (third control mode), and switch the working channel and the scanning channel according to a preset scanning period (first allocation method). When the target business scenario is the third business scenario or the fourth business scenario, the target measurement strategy can choose to prohibit requesting to scan Wi-Fi (first control mode), polling scanning designated channels (third control mode), and polling scanning channels. The composite mode (fourth control mode) of the channel, and switch the working channel and the scanning channel according to the preset scanning period (second allocation method). When the target business scenario is the fifth business scenario, the target measurement strategy can select any one of scanning all channels in the specified frequency band (sixth control mode) and scanning the specified channel in the specified frequency band (seventh control mode), and switch the working channel and the scanning channel according to the preset scanning period (first allocation method).

It is understandable that, on the one hand, by selecting different control modes and allocation methods, the RF scanning strategy of the terminal in the scenario can be optimized according to the characteristics of the specific business scenario, thereby improving business performance and efficiency. On the one hand, selecting the appropriate RF scanning control mode and channel allocation method can help reduce the power consumption of the terminal and extend the battery life of the terminal without affecting business needs. On the one hand, adopting specific RF scanning strategies for different business scenarios can help improve the performance of the terminal in the network, including better connection stability and data transmission rate. On the one hand, in scenarios where frequency band switching is required, select appropriate control modes and allocation methods to ensure that the terminal can effectively switch frequency bands and continue to meet business needs after switching. In general, through flexible RF scanning strategy selection, it is possible to balance the requirements of business performance, power consumption, and network performance in different business scenarios, and improve the overall performance and user experience of the terminal.

In some embodiments of the present application, the target measurement strategy further includes at least one of the following: a radio frequency scanning band, a radio frequency scanning channel, a radio frequency scanning mode, a radio frequency scanning cycle, a working channel duration, and a scanning channel duration.

In an embodiment of the present application, the RF scanning band refers to the frequency range covered when a terminal or device performs RF scanning in Wi-Fi communication. Wi-Fi communication usually uses two frequency bands, 2.4 GHz and GHz, which are divided into multiple channels, each with a certain bandwidth, for wireless communication. In RF scanning, you can choose to scan the entire frequency band, specify the frequency band, or select different frequency bands for scanning in different time periods to meet specific needs. The selection of RF scanning bands is usually optimized based on factors such as business scenarios, the support capabilities of terminal devices, and the current network environment.

In the embodiment of the present application, the RF scanning channel refers to the wireless channel selected by the terminal or device when performing RF scanning in Wi-Fi communication. The frequency band used for Wi-Fi communication is divided into multiple channels, each channel corresponds to a specific frequency range for data transmission. In RF scanning, the device can choose to scan all available channels, specify specific channels, or switch channels for scanning according to a certain mode. Exemplarily, the mode of RF scanning channel includes at least one of the following:

1) Full channel scanning: The terminal or device covers all available Wi-Fi channels during the scanning process to obtain information on the entire frequency band;

2) Specified channel scanning: The terminal or device selects to scan a specific Wi-Fi channel for the purpose of business needs or optimizing network performance;

3) Composite mode: The terminal or device first scans all channels in one cycle, and then scans the specified channel in the remaining time. This method combines the advantages of full channel scanning and specified channel scanning.

It is understandable that in different business scenarios and network environments, selecting an appropriate RF scanning channel strategy is to obtain accurate Wi-Fi environment information, optimize network performance and improve positioning accuracy.

In an embodiment of the present application, the radio frequency scanning method includes active scanning (Active Scanning) and passive scanning (Passive Scanning). Among them, in active scanning, the terminal actively sends a request and sends a probe request frame (Probe Request) to the surrounding Wi-Fi network. After receiving these requests, the Wi-Fi access point will respond with a probe response frame (ProbeResponse), which contains network information, such as SSID, channel, etc. In this way, the terminal can actively obtain information about nearby available networks. In passive scanning, the terminal does not actively send a request, but listens to the surrounding Wi-Fi channels and receives existing Wi-Fi frames. The Wi-Fi access point will periodically broadcast management frames (Beacon Frames), which contain network information. The terminal obtains network information by listening to these frames without sending a probe request. In this way, the terminal passively senses the surrounding networks.

It should be noted that the choice of active scanning or passive scanning usually depends on the specific application scenario and requirements. Active scanning can more actively obtain network information, but it will generate some additional power consumption, while passive scanning is relatively more energy-efficient, but may obtain information more slowly. In actual applications, the terminal may combine the two to obtain more comprehensive Wi-Fi network information.

In an embodiment of the present application, the radio frequency scanning period is the period for triggering the Wi-Fi scanning, which can be measured in seconds. Specifically, the radio frequency scanning period refers to the frequency at which the terminal performs a radio frequency scan within a certain time interval. The selection of this period depends on the specific application scenario, performance requirements, and power consumption requirements. Different applications may require different scanning frequencies to balance the relationship between obtaining network information and saving battery life. Generally speaking, a shorter scanning period can obtain network information more promptly, but it will also lead to more frequent radio frequency activities and increase the power consumption of the terminal. Conversely, a longer scanning period can reduce power consumption, but may cause delays in information acquisition.

In the embodiment of the present application, the working channel duration (t1) is the working time slice of the data transmission channel when Wi-Fi is working, and the unit can be milliseconds. Specifically, the working channel duration refers to the length of time that the terminal selects a working channel and maintains the connection within a working cycle. This parameter affects the active time of the terminal on a specific channel, thereby affecting network performance and power consumption.

In the embodiment of the present application, the scanning channel duration (t2) is the scanning channel working time slice when Wi-Fi is working, and the unit can be milliseconds. Specifically, the scanning channel duration refers to the length of time that the terminal selects a scanning channel and monitors when performing radio frequency scanning. This parameter has an important impact on the frequency and effect of radio frequency scanning, and also affects the power consumption of the terminal.

It is understandable that, on the one hand, by reasonably configuring the parameters of RF scanning, the accuracy of indoor positioning can be improved, and accurate RF fingerprint data can help determine the location of the terminal more accurately. By adjusting the working channel and scanning channel, the communication performance between the terminal and the Wi-Fi network can be optimized, the data transmission efficiency can be improved, and the network congestion can be reduced. On the one hand, the reasonable configuration of parameters such as the duration of the scanning channel can reduce the power consumption of the terminal, extend the battery life, and increase the use time of the terminal device. On the one hand, for different business scenarios, the frequency, mode and duration of RF scanning can be adjusted to meet business needs. For example, more frequent scanning may be required in high-traffic scenarios to adapt to network changes. On the one hand, by reasonably configuring the working channel, it is possible to better adapt to the channel usage in different environments and improve the stability and speed of the terminal connection. In addition, in some scenarios, it may be necessary to support frequency band switching. By configuring the RF scanning band, the terminal can adapt to the network environment of different frequency bands. By adjusting the RF scanning cycle, a balance can be found between real-time performance and the accuracy of RF fingerprint data to meet the needs of different application scenarios. In general, by optimizing these RF scanning parameters, better performance, lower power consumption and better adaptability to different business scenarios can be achieved, which helps to improve user experience and system efficiency in indoor positioning, Wi-Fi communication and other aspects.

The following is an explanation of the method for measuring radio frequency fingerprint data provided by the present application in a specific embodiment.

In the embodiment of the present application, FIG5 is a schematic diagram of an application framework of an optional method for measuring radio frequency fingerprint data provided in the embodiment of the present application. As shown in FIG5, the terminal includes: an audio module 21, a display module 22, a storage module 23, a sensor module 24, a processor 25, a cellular network module 26 and a Wi-Fi module 27; further, the Wi-Fi module 27 includes: a radio frequency management module 271, a 2.4G radio frequency front end 272, a 5G radio frequency front end 273 and an antenna 274. Among them, the processor 25 can determine the target business scenario of the terminal based on the data collected by the audio module 21, the display module 22, the storage module 23, the sensor module 24, the cellular network module 26 and the Wi-Fi module 27, and then determine the target measurement strategy for obtaining radio frequency fingerprint data based on the target business scenario.

In the embodiment of the present application, the current usage scenario is intelligently identified by real-time collection of intelligent terminal Sensor and Network information. Different Wi-Fi RF fingerprint measurement strategies are set in different scenarios to realize the intelligent measurement of Wi-Fi RF fingerprint function. The technical solution of the present application is explained in the following aspects.

1. Intelligent scene recognition

1) Collect real-time data (i.e., second real-time information) from sensors of smart terminals (i.e., terminals or devices) and identify the terminal's motion state (i.e., state information): stationary, walking, or running.

2) Identify the current business scenario (target business scenario) of the smart terminal based on the preset application package name (i.e., the identification information of the target application), and thereby identify the following business scenarios: browsing the web, watching videos or live broadcasts, online conferences, playing games, browsing WeChat, etc. (i.e., target candidate scenarios).

3) Combined with the current application ID (i.e., identification information of the target application), collect Wi-Fi real-time information (i.e., first real-time information) to identify low-traffic and high-traffic scenarios.

4) Collect Wi-Fi real-time information (i.e., first real-time information) and participate in Wi-Fi radio frequency fingerprint measurement decision-making strategy.

In the embodiments of the present application, based on the above scene recognition technology, the present application formulates Wi-Fi radio frequency fingerprint measurement strategies in different scenarios through a combination of a single or multiple scene recognition technologies.

2. Wi-Fi RF fingerprint measurement instructions

In the embodiment of the present application, the function of measuring radio frequency fingerprint data when Wi-Fi is working can be realized by controlling the switching of Wi-Fi working channel and scanning channel. FIG6 is a schematic diagram of an optional working channel and scanning channel provided in the embodiment of the present application. As shown in FIG6, the working channel and the scanning channel are switched back and forth within the time period. For example, the working channel is in the t1 time period, and the scanning channel is in the t2 time period, and so on.

In an embodiment of the present application, Table 1 is a schematic table of an optional Wi-Fi radio frequency fingerprint measurement instruction provided in an embodiment of the present application. As shown in Table 1, the parameters (i.e., fields) of the Wi-Fi radio frequency fingerprint measurement instruction include: scenario (equivalent to the target service scenario), control mode (equivalent to the radio frequency scanning control mode), frequency band list (equivalent to the radio frequency scanning frequency band), channel list (equivalent to the radio frequency scanning channel), scanning mode (equivalent to the radio frequency scanning mode), scanning cycle (equivalent to the radio frequency scanning cycle), channel allocation strategy (equivalent to the channel allocation mode), working channel duration, and scanning channel duration. Furthermore, for each parameter of the Wi-Fi radio frequency fingerprint measurement instruction, there is at least one corresponding parameter value (i.e., value), see the contents in Table 1 for details.

Table 1

3. Wi-Fi RF fingerprint measurement strategy in specific scenarios

In the embodiment of the present application, FIG. 7 is a schematic diagram of an application framework of an optional method for measuring radio frequency fingerprint data provided in the embodiment of the present application. As shown in FIG. 7, the method for measuring radio frequency fingerprint data may include the following steps:

Step 1, the service provider 32 (equivalent to the terminal) obtains the user usage status 31, and determines the target business scenario corresponding to the target application running on the terminal that needs to trigger radio frequency scanning according to the user usage status 31;

Step 2: The service provider 32 reads the policy configuration information from the storage module 33;

Step 3: The service provider 32 determines the corresponding target measurement strategy in the strategy configuration information according to the target business scenario;

Step 4: The service provider 32 sends a control instruction to the Wi-Fi Framework 34; wherein the control instruction carries a target measurement strategy; wherein the Wi-Fi Framework 34 is a software layer for providing an API interface to allow an application to interact with Wi-Fi hardware;

Step 5: The Wi-Fi framework 34 sends a control instruction to the Wi-Fi firmware 35 (Wi-Fi Frameware); wherein the Wi-Fi firmware 35 is embedded software running on the Wi-Fi chip, and is used to control the operation of the Wi-Fi chip, and process Wi-Fi signals and data transmission in packets, etc.

Step 6: The Wi-Fi firmware 35 sends a control instruction to the Wi-Fi integrated chip 36 (Wi-Fi Chipset) so that the Wi-Fi integrated chip 36 adopts the target measurement strategy carried in the control instruction to obtain radio frequency fingerprint data; wherein the Wi-Fi integrated chip 36 is a hardware device that integrates a Wi-Fi radio frequency transceiver, a processor, and a memory chip, and the Wi-Fi chip is embedded in the device.

In an embodiment of the present application, different user scenarios are distinguished by analyzing the user terminal usage status to realize intelligent and refined control of Wi-Fi radio frequency fingerprint measurement function. Table 2 is a schematic table of optional measurement strategies in different scenarios provided in an embodiment of the present application. As shown in Table 2, different measurement strategies (i.e., control instructions) are provided for different business scenarios, such as home positioning scenarios (equivalent to the first business scenario), supermarket positioning scenarios (equivalent to the second business scenario), high traffic scenarios (equivalent to the third business scenario), low latency scenarios (equivalent to the fourth business scenario), and Wi-Fi 2.4G/5G switching scenarios (equivalent to the fifth business scenario).

Table 2

It should be noted that in Table 2, X, Y, and Z represent any pre-set value for indicating the channel number, such as 0, 1, 2, etc. This application does not impose any limitation on the values of X, Y, and Z. K is any pre-set time interval (indicating a scanning period), such as 0.1 seconds, etc. A and B represent pre-set time intervals (indicating the duration of the working channel and the duration of the scanning channel), such as: A is 0.1 milliseconds, B is 0.2 milliseconds, etc. In addition, "Control Mode: 4" means selecting the mode labeled 4 of the control mode in Table 1 (i.e., the composite mode of polling scanning channels). "Frequency Band List: 1/2" means selecting the mode labeled 1 or 2 of the frequency band list in Table 1 (i.e., 2.4G frequency band or 5G frequency band). The meanings of "Channel Allocation Strategy: 1" and "Control Mode: 1 or 3 or 4" in Table 2 are similar to the above-mentioned representations and will not be repeated here.

It should be noted that, in addition to the above scenarios, this application can also combine the above scenarios to achieve intelligent control of more scenarios.

In the embodiment of the present application, the intelligent terminal can obtain the Wi-Fi radio frequency fingerprint data in the environment when the Wi-Fi is connected, and meet the needs of different business applications for indoor positioning or Wi-Fi communication optimization without affecting the business experience and power consumption.

In the embodiments of the present application, user terminal business scenarios can be intelligently identified, such as identifying motion states (stationary, walking, running), identifying low-latency/high-traffic scenarios (browsing the web, watching videos or live broadcasts, online conferences, playing games, and browsing WeChat), etc.

In the embodiments of the present application, Wi-Fi radio frequency fingerprint data may be dynamically measured according to the business scenario, and may be measured periodically and the measurement may be dynamically adjusted according to scenario events.

In the embodiments of the present application, the present application can be applied to smart phones, smart watches, tablets and other Wi-Fi products, and the present application does not make any limitation to this.

The preferred embodiments of the present application are described in detail above in conjunction with the accompanying drawings. However, the present application is not limited to the specific details in the above embodiments. Within the technical concept of the present application, the technical solution of the present application can be subjected to a variety of simple modifications, and these simple modifications all belong to the protection scope of the present application. For example, the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present application will not further explain various possible combinations. For another example, the various different embodiments of the present application can also be arbitrarily combined, as long as they do not violate the idea of the present application, they should also be regarded as the contents disclosed in the present application. For another example, the various embodiments and/or the technical features in the various embodiments described in the present application can be arbitrarily combined with the prior art without conflict, and the technical solution obtained after the combination should also fall within the protection scope of the present application.

It should be understood that in the various method embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Based on the same inventive concept as the above-mentioned embodiment, FIG8 is a schematic diagram of the composition structure of an optional radio frequency fingerprint data measurement device provided in an embodiment of the present application. As shown in FIG8, the radio frequency fingerprint data measurement device 40 includes: an acquisition unit 41 and a determination unit 42; wherein,

The acquisition unit 41 is used to acquire the first real-time information corresponding to the target application when the target application belongs to a communication service and the identification information of the target application does not exist in the preset application list; wherein the target application is an application running on the terminal that needs to trigger radio frequency scanning; the preset application list is used to characterize the correspondence between the application and the service scenario; the first real-time information characterizes the network performance and connection status of the current network environment;

The determining unit 42 is configured to determine a target service scenario of the terminal based on the first real-time information; and determine a target measurement strategy according to the target service scenario, so that the terminal adopts the target measurement strategy to acquire radio frequency fingerprint data.

In some embodiments of the present application, the determination unit 42 is also used to determine second real-time information of the terminal when the target application belongs to a positioning service; wherein the second real-time information represents the network load and network capacity of the terminal; and based on the second real-time information, determine the target service scenario of the terminal.

In some embodiments of the present application, the target business scenario includes: a first business scenario and a second business scenario; the first business scenario represents that the terminal is active within a first range; the second business scenario represents that the terminal is active within a second range; the second range is larger than the first range; the second real-time information includes: current device information of at least one network device connected to the terminal; the determination unit 42 is further used to determine, according to the current device information, a device change rate corresponding to at least one network device connected to the terminal within a preset time period;

When the device change rate is less than or equal to a first threshold, determining that the target business scenario is a first business scenario; or,

When the device change rate is greater than the first threshold, the target business scenario is determined to be a second business scenario.

In some embodiments of the present application, the second business scenario includes: a first sub-business scenario and a second sub-business scenario; the determining unit 42 is further configured to determine the state information of the terminal according to the third real-time information of the terminal when the target business scenario is the second business scenario; wherein the third real-time information represents real-time behavior data related to the motion state of the terminal;

When the state information indicates that the terminal is in a stationary state, determining that the target service scenario is the first sub-service scenario; or,

When the state information indicates that the terminal is in motion, the target service scenario is determined to be the second sub-service scenario.

In some embodiments of the present application, the target business scenario also includes: a third business scenario and a fourth business scenario; the traffic level of the third business scenario is greater than the traffic level of the fourth business scenario; the first real-time information includes: a current transmission rate and a current signal strength; the determination unit 42 is further used to determine that the target business scenario is the third business scenario when the current transmission rate is greater than or equal to the second threshold and the current signal strength is greater than or equal to the third threshold; or,

When the current transmission rate is less than the second threshold, or the current signal strength is less than the third threshold, the target service scenario is determined to be a fourth service scenario.

In some embodiments of the present application, the determining unit 42 is further configured to, when the target application belongs to a communication service and the identification information of the target application exists in the preset application list, determine, from at least one candidate identification information in the preset application list, target candidate identification information that matches the identification information;

The target service scenario of the terminal is determined according to the target candidate scenario corresponding to the target candidate identification information.

In some embodiments of the present application, the target measurement strategy includes: a radio frequency scanning control mode; the radio frequency scanning control mode includes at least one of the following: a first control mode, a second control mode, a third control mode, a fourth control mode, a fifth control mode, a sixth control mode and a seventh control mode; wherein,

The first control mode is used to prohibit the terminal from actively requesting radio frequency scanning;

The second control mode is used to allow the terminal to perform radio frequency scanning of all available channels in a polling manner;

The third control mode is used to allow the terminal to perform radio frequency scanning for designated available channels in a polling manner;

The fourth control mode is used to allow the terminal to perform radio frequency scanning of all available channels and/or designated available channels in a polling manner;

The fifth control mode is used to allow the terminal to perform radio frequency scanning of all available channels in a specific frequency band in a polling manner;

The sixth control mode is used to allow the terminal to perform radio frequency scanning of designated available channels within a specific frequency band in a polling manner;

The seventh control mode is used to allow the terminal to perform radio frequency scanning of all available channels and/or designated available channels within a specific frequency band in a polling manner.

In some embodiments of the present application, the target measurement strategy further includes at least one of the following: a channel allocation method; the channel allocation method includes at least one of the following: a first allocation method and a second allocation method: wherein,

The first allocation mode is used for the terminal to switch between a working channel and a scanning channel according to a preset scanning period; wherein the working channel is a channel used by the terminal for communication and data transmission, and the working channel is a channel scanned by the terminal when performing a radio frequency scanning operation;

The second allocation mode is used by the terminal to dynamically adjust the switching between the working channel and the scanning channel according to the load condition of the working channel data.

In some embodiments of the present application, the determining unit 42 is further configured to use the fourth control mode and the first allocation method as the target measurement strategy when the target business scenario is the first business scenario or the second sub-business scenario; or

When the target service scenario is the first sub-service scenario, the third control mode and the first allocation method are used as the target measurement strategy; or,

When the target business scenario is the third business scenario or the fourth business scenario, any one of the first control mode, the third control mode and the fourth control mode, and the second allocation method are used as the target measurement strategy; or

When the target service scenario is the fifth service scenario, any one of the sixth control mode and the seventh control mode and the first allocation method are used as the target measurement strategy, wherein the fifth service scenario indicates that the terminal is in a frequency band switching mode.

In some embodiments of the present application, the target measurement strategy further includes at least one of the following: a radio frequency scanning band, a radio frequency scanning channel, a radio frequency scanning mode, a radio frequency scanning cycle, a working channel duration, and a scanning channel duration.

Those skilled in the art should understand that the relevant description of the above-mentioned radio frequency fingerprint data measurement device in the embodiment of the present application can be understood by referring to the relevant description of the radio frequency fingerprint data measurement method in the embodiment of the present application.

Figure 9 is a schematic diagram of the composition structure of an optional terminal provided in an embodiment of the present application. As shown in Figure 9, the terminal 50 includes a processor 51 and a memory 52. The memory 52 can store computer programs, and the processor 51 can call and run the computer program from the memory 52 to implement the method in the embodiment of the present application.

The memory 52 may be a separate device independent of the processor 51 , or may be integrated into the processor 51 .

In some embodiments, as shown in FIG. 9 , the terminal 50 may further include a transceiver 53 , and the processor 51 may control the transceiver 53 to communicate with other devices, specifically, to send information or data to other devices, or to receive information or data sent by other devices.

The transceiver 53 may include a transmitter and a receiver. The transceiver 53 may further include an antenna, and the number of the antennas may be one or more.

It can be understood that the processor of the embodiment of the present application may be an integrated circuit chip with information processing capabilities. In the implementation process, each step of the above method embodiment can be completed by the hardware integrated logic circuit or software instructions in the processor. The above processor can be a general processor, a digital signal processor (DigitalSignal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor are combined and performed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

An embodiment of the present application also provides a computer-readable storage medium for storing a computer program.

In some embodiments, the computer-readable storage medium can be applied to the terminal in the embodiments of the present application, and when the computer program is executed by at least one processor, it implements the corresponding processes implemented by the terminal in the various methods of the embodiments of the present application. For the sake of brevity, they are not repeated here.

An embodiment of the present application also provides a computer program product, including computer program instructions.

In some embodiments, the computer program product can be applied to the terminal in the embodiments of the present application, and the computer program instructions enable the computer to execute the corresponding processes implemented by the terminal in the various methods of the embodiments of the present application. For the sake of brevity, they are not repeated here.

The embodiment of the present application also provides a computer program.

In some embodiments, the computer program can be applied to the terminal in the embodiments of the present application. When the computer program runs on the computer, the computer executes the corresponding processes implemented by the terminal in the various methods of the embodiments of the present application. For the sake of brevity, they will not be repeated here.

Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present application can be implemented with electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiments of the present application.

In the several embodiments provided in the embodiments of the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

The methods disclosed in several method embodiments provided in the embodiments of the present application can be arbitrarily combined without conflict to obtain new method embodiments.

The features disclosed in several product embodiments provided in the embodiments of the present application can be arbitrarily combined without conflict to obtain new product embodiments.

The features disclosed in several method or device embodiments provided in the embodiments of the present application can be arbitrarily combined without conflict to obtain new method embodiments or device embodiments.

The above is only a specific implementation of the embodiment of the present application, but the protection scope of the embodiment of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed in the embodiment of the present application, which should be included in the protection scope of the embodiment of the present application. Therefore, the protection scope of the embodiment of the present application should be based on the protection scope of the embodiment of the present application.

Claims (13)

1. A method for measuring radio frequency fingerprint data, characterized in that the method includes: When the target application belongs to the communication service and the identification information of the target application does not exist in the preset application list, obtain the first real-time information corresponding to the target application; wherein the target application is Applications running on the terminal that need to trigger radio frequency scanning; the preset application list is used to represent the correspondence between applications and business scenarios; the first real-time information represents the network performance and connection status of the current network environment; Based on the first real-time information, determine the target business scenario of the terminal; According to the target business scenario, a target measurement strategy is determined, so that the terminal uses the target measurement strategy to obtain radio frequency fingerprint data. 2. The method according to claim 1, characterized in that, before determining the target measurement strategy according to the target business scenario, the method further includes: When the target application belongs to the positioning service, determine the second real-time information of the terminal; wherein the second real-time information represents the network load and network capacity of the terminal; Based on the second real-time information, the target business scenario of the terminal is determined. 3. The method according to claim 2, wherein the target business scenario includes: a first business scenario and a second business scenario; the first business scenario represents that the terminal is active within a first range; The second business scenario represents that the terminal is active within a second range; the second range is greater than the first range; and the second real-time information includes: the current device of at least one network device that establishes a connection with the terminal information; Determining the target business scenario of the terminal based on the second real-time information includes: According to the current device information, determine the device change rate corresponding to at least one network device that establishes a connection with the terminal within a preset time period; If the device change rate is less than or equal to the first threshold, determine the target business scenario to be the first business scenario; or, If the device change rate is greater than the first threshold, the target business scenario is determined to be the second business scenario. 4. The method according to claim 3, characterized in that the second business scenario includes: a first sub-business scenario and a second sub-business scenario; the method further includes: When the target business scenario is the second business scenario, the status information of the terminal is determined according to the third real-time information of the terminal; wherein the third real-time information represents the movement of the terminal. Status-related real-time behavioral data; When the status information indicates that the terminal is in a static state, determine that the target service scenario is the first sub-service scenario; or, If the status information indicates that the terminal is in a motion state, the target service scenario is determined to be the second sub-service scenario. 5. The method according to any one of claims 1 to 4, characterized in that the target business scenario further includes: a third business scenario and a fourth business scenario; the traffic level of the third business scenario is greater than the The traffic level of the fourth business scenario; the first real-time information includes: current transmission rate and current signal strength; Determining the target business scenario of the terminal based on the first real-time information includes: When the current transmission rate is greater than or equal to the second threshold, and the current signal strength is greater than or equal to the third threshold, determine that the target business scenario is the third business scenario; or, If the current transmission rate is less than the second threshold, or the current signal strength is less than the third threshold, the target service scenario is determined to be a fourth service scenario. 6. The method according to any one of claims 1 to 5, characterized in that the method further includes: When the target application belongs to the communication service and the identification information of the target application exists in the preset application list, at least one candidate identification information in the preset application list is determined to be the same as the identification information. Matching target candidate identification information; The target business scenario of the terminal is determined according to the target candidate scenario corresponding to the target candidate identification information. 7. The method according to any one of claims 1 to 6, characterized in that the target measurement strategy includes: a radio frequency scan control mode; the radio frequency scan control mode includes at least one of the following: a first control mode, a third second control mode, third control mode, fourth control mode, fifth control mode, sixth control mode and seventh control mode; wherein, The first control mode is used to prohibit the terminal from actively requesting radio frequency scanning; The second control mode is used to allow the terminal to perform radio frequency scanning of all available channels in a polling manner; The third control mode is used to allow the terminal to perform radio frequency scanning of designated available channels in a polling manner; The fourth control mode is used to allow the terminal to perform radio frequency scanning of all available channels and/or designated available channels in a polling manner; The fifth control mode is used to allow the terminal to perform radio frequency scanning of all available channels in a specific frequency band in a polling manner; The sixth control mode is used to allow the terminal to perform radio frequency scanning of specified available channels in a specific frequency band in a polling manner; The seventh control mode is used to allow the terminal to perform radio frequency scanning of all available channels and/or designated available channels in a specific frequency band in a polling manner. 8. The method according to any one of claims 1 to 6, characterized in that the target measurement strategy further includes: a channel allocation method; the channel allocation method includes at least one of the following: a first allocation method and a second allocation method. Distribution method: Among them, The first allocation method is used for the terminal to switch between working channels and scanning channels according to a preset scanning cycle; wherein the working channel is a channel used by the terminal for communication and data transmission, and the working channel is The channel scanned by the terminal when performing a radio frequency scanning operation; The second allocation method is used by the terminal to dynamically adjust the switching between the working channel and the scanning channel according to the load condition of the working channel data. 9. The method according to any one of claims 1 to 8, characterized in that determining a target measurement strategy according to the target business scenario includes: When the target business scenario is the first business scenario or the second sub-business scenario, use the fourth control mode and the first allocation method as the target measurement strategy; or, When the target business scenario is the first sub-business scenario, use the third control mode and the first allocation method as the target measurement strategy; or, When the target business scenario is the third business scenario or the fourth business scenario, any one of the first control mode, the third control mode and the fourth control mode, and the second allocation method as the target measurement strategy; or, When the target business scenario is the fifth business scenario, any one of the sixth control mode and the seventh control mode and the first allocation method are used as the target measurement strategy, wherein the third The fifth service scenario represents that the terminal is in frequency band switching mode. 10. The method according to any one of claims 1 to 9, characterized in that the target measurement strategy further includes at least one of the following: radio frequency scanning frequency band, radio frequency scanning channel, radio frequency scanning mode, radio frequency scanning period, working channel duration, and scan channel duration. 11. A measuring device for radio frequency fingerprint data, characterized in that the device includes an acquisition unit and a determination unit; wherein, The acquisition unit is configured to acquire the first real-time information corresponding to the target application when the target application belongs to the communication service and the identification information of the target application does not exist in the preset application list; wherein , the target application is an application running on the terminal that needs to trigger radio frequency scanning; the preset application list is used to represent the correspondence between the application and the business scenario; the first real-time information represents the current network environment network performance and connection status; The determining unit is configured to determine a target business scenario of the terminal based on the first real-time information; and determine a target measurement strategy according to the target business scenario, so that the terminal uses the target measurement strategy to obtain the radio frequency fingerprint. data. 12. A terminal, characterized in that the terminal includes: a processor and a memory, the memory is used to store a computer program, the processor is used to call and run the computer program stored in the memory, and execute the claims as claimed in The measurement method of radio frequency fingerprint data according to any one of 1 to 10. 13. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and when the computer program is executed by at least one processor, the method of any one of claims 1 to 10 is implemented. Measurement methods for radio frequency fingerprint data.