CN115843038B - Signal source processing system and method, unmanned aerial vehicle device and cloud position selection server - Google Patents

Abstract

The application provides a processing system and a processing method of a signal source, an unmanned aerial vehicle device and a cloud position selection server, wherein the processing system comprises the following steps: the method comprises the steps that a terminal device, a cloud position selection server and an unmanned aerial vehicle device are arranged, the cloud position selection server establishes a 3D model number corresponding to a house identifier to be processed, and the 3D model number is sent to the terminal device; the terminal equipment generates a scanning request and sends the scanning request to the unmanned aerial vehicle device, and the unmanned aerial vehicle device generates a scanning path corresponding to the building information graph according to the scanning request and scans the house to be processed to acquire object information in the house to be processed; the cloud position selection server receives object information carrying with a 3D model number and sent by the unmanned aerial vehicle device, and establishes a corresponding 3D scene model to be tested; and if the same scene model exists in the scene model library, transmitting the position information of the corresponding signal source to the terminal equipment. The method solves the problem that the position of the selected wireless signal source depends on the skill and experience of staff in the prior art.

Description

Signal source processing system, method, drone device and cloud location selection server

Technical Field

The present application relates to the field of communication technology, and in particular to a signal source processing system, method, drone device and cloud location selection server.

Background technique

Wireless communication technology is a widely used short-distance wireless network transmission technology, which has the advantages of high transmission speed and long effective distance. The selection of the wireless signal source location plays a decisive role in the wireless signal coverage and signal quality.

In the prior art, the selection of the location of the wireless signal source mainly relies on the professional skills and experience of network engineers. However, the prior art has relatively high technical requirements on the staff, requires the configuration of wireless signal transmitters, lacks automated means, and requires a large amount of manual participation, which increases labor and time costs.

Summary of the invention

The present application provides a signal source processing system, method, drone device and cloud location selection server to solve the problem in the prior art that the location of the wireless signal source is selected by relying on the professional skills and experience of network engineers, resulting in high labor costs and time costs.

In a first aspect, the present application provides a signal source processing system, comprising: a terminal device, a cloud-based location selection server and a drone device; wherein the terminal device is used to send a signal source processing request to the cloud-based location selection server, and the signal source processing request includes: an identification of a house to be processed, and a building information map corresponding to the identification of the house to be processed.

The cloud-based location selection server is used to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device.

The terminal device is also used to generate a scanning request and send it to the drone device, wherein the scanning request includes: the 3D model number and the building information map corresponding to the identification of the house to be processed.

The drone device is used to generate a scanning path corresponding to the building information map according to the scanning request, and scan the house to be processed according to the scanning path to obtain object information in the house to be processed.

The cloud-based location selection server is further configured to receive the object information carrying the 3D model number sent by the drone device, and to establish a 3D scene model to be tested corresponding to the 3D model number based on the object information.

The cloud-based positioning server is also used to query the scene model library. If there is a scene model that is identical to the 3D scene model to be tested, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device.

In a specific embodiment, the cloud-based location selection server is also used to query the scene model library. If there is no scene model identical to the 3D scene model to be tested, the scene model with the highest similarity to the 3D scene model to be tested is queried and obtained, and the location information of the second signal source in the scene model with the highest similarity is obtained and sent to the drone device.

The drone device is also used to transmit a first wireless signal to be tested at the location information of the second signal source.

The system further includes: a wireless signal detection device, which is arranged in the house to be processed and is used to send the location information of the wireless signal detection device and a first wireless signal strength map generated based on the first wireless signal to be tested to the cloud location selection server.

The cloud-based location selection server is also used to generate a first wireless signal coverage map corresponding to the identification of the house to be processed based on the received location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets the preset standard based on the first wireless signal coverage map.

The cloud-based location selection server is further configured to send the location information of the second signal source to the terminal device upon determining that the location information of the second signal source meets the preset standard.

In a specific embodiment, the cloud-based location selection server is also used to obtain the location information of the third signal source and send it to the terminal device based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the location information of the second signal source does not meet the preset standard.

In a specific embodiment, the cloud-based positioning server is also used to obtain the position information of the third signal source and send it to the drone device based on the position information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the position information of the second signal source does not meet the preset standard.

The drone device is also used to transmit a second wireless signal to be tested at the location information of the third signal source.

The cloud-based positioning server is also used to generate a second wireless signal coverage map based on the location information of each received wireless signal detection device and a second wireless signal strength map generated based on the second wireless signal to be tested, and determine whether the location information of the third signal source meets the preset standard based on the second wireless signal coverage map.

In a specific embodiment, the cloud-based positioning server is also used to query the scene model library. If there is no scene model identical to the 3D scene model to be tested, and there is no scene model similar to the 3D scene model to be tested, then the fourth signal source position information is obtained according to the 3D scene model to be tested and sent to the drone device.

The drone device is also used to transmit a third wireless signal to be tested at the location information of the fourth signal source.

The cloud-based positioning server is also used to generate a third wireless signal coverage map based on the location information of each received wireless signal detection device and a third wireless signal strength map generated based on the third wireless signal to be tested, and determine whether the location information of the fourth signal source meets the preset standard based on the third wireless signal coverage map.

In a specific implementation, the cloud-based location selection server is further used to store the 3D scene model to be tested, and the location information of the second signal source/the location information of the third signal source/the location information of the fourth signal source in the scene model library.

In a second aspect, the present application provides a drone device, comprising: a first information interaction unit, used to receive a scanning request sent by a terminal device, wherein the scanning request comprises: a building information map corresponding to a 3D model number and an identification of a house to be processed.

A path finding unit is used to generate a scanning path corresponding to the building information diagram according to the scanning request.

The laser radar scanning unit is used to scan the house to be processed according to the scanning path.

The camera shooting unit is used to obtain two-dimensional information and/or three-dimensional information of the object during the scanning process performed by the laser radar scanning unit.

The information processing unit is used to obtain the object information in the house to be processed according to the two-dimensional information and/or three-dimensional information of the object.

The first information interaction unit is further used to send the object information carrying the 3D model number to the cloud location selection server, so that the cloud location selection server can select and process the signal source position of the processed house according to the object information.

In a specific embodiment, it also includes:

The wireless signal transmitting unit is used to transmit a wireless signal to be tested at the location information of the signal source according to the test request carrying the signal source location information sent by the cloud-based location selection server.

In a third aspect, the present application provides a cloud-based location selection server, comprising:

The second information interaction unit is used to receive a signal source processing request sent by a terminal device, wherein the signal source processing request includes: an identification of a house to be processed and a building information diagram corresponding to the identification of the house to be processed.

The 3D model number allocation unit is used to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device through the second information interaction unit.

The 3D modeling unit is used to receive the object information carrying the 3D model number sent by the drone device, and establish a 3D scene model to be tested corresponding to the 3D model number according to the object information.

The information storage unit is used to store the scene model library.

The wireless signal source location selection unit is used to query the scene model library. If there is a scene model identical to the 3D scene model to be tested, the location information of the signal source in the identical scene model is used as the location information of the first signal source in the 3D scene model to be tested, and the location information of the first signal source is sent to the terminal device.

In a specific embodiment, the wireless signal source location selection unit is also used to query the scene model library. If there is no scene model identical to the 3D scene model to be tested, the scene model with the highest similarity to the 3D scene model to be tested is queried and obtained, and the location information of the second signal source in the scene model with the highest similarity is obtained and sent to the drone device.

The cloud-based location selection server also includes: a wireless signal analysis unit, which is used to generate a first wireless signal coverage map corresponding to the identification of the house to be processed based on the location information of each wireless signal detection device received and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets the preset standard based on the first wireless signal coverage map.

The wireless signal analysis unit is further configured to send the location information of the second signal source to the terminal device when it is determined that the location information of the second signal source meets the preset standard.

In a specific embodiment, the wireless signal analysis unit is also used to obtain the location information of the third signal source and send it to the terminal device based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the location information of the second signal source does not meet the preset standard.

In a fourth aspect, the present application provides a method for processing a signal source, the method comprising:

The cloud-based location selection server establishes a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request sent by the terminal device, and sends the 3D model number to the terminal device, so that the terminal device can generate a scanning request and send it to the drone device, so that the drone device generates a scanning path corresponding to the building information map according to the scanning request, and scans the house to be processed according to the scanning path to obtain object information in the house to be processed.

The cloud-based location selection server receives the object information carrying the 3D model number sent by the drone device, and establishes a 3D scene model to be tested corresponding to the 3D model number according to the object information.

The cloud-based positioning server queries the scene model library, and if there is a scene model identical to the 3D scene model to be tested, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device.

The present application provides a signal source processing system, method, drone device and cloud-based location selection server, the system comprising: a terminal device, a cloud-based location selection server and a drone device; wherein the terminal device is used to send a signal source processing request to the cloud-based location selection server, the signal source processing request comprising: an identification of a house to be processed and a building information map corresponding to the identification of the house to be processed; the cloud-based location selection server is used to establish a 3D model number corresponding to the identification of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device; the terminal device is also used to generate a scanning request and send it to the drone device, the scanning request comprising: the 3D model number and the building information map corresponding to the identification of the house to be processed; the drone The device is used to generate a scanning path corresponding to the building information map according to the scanning request, and scan the house to be processed according to the scanning path to obtain the object information in the house to be processed; the cloud-based location selection server is also used to receive the object information carrying the 3D model number sent by the drone device, and establish the 3D scene model to be tested corresponding to the 3D model number according to the object information; the cloud-based location selection server is also used to query the scene model library, if there is a scene model that is the same as the 3D scene model to be tested, then the position information of the signal source in the same scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device. Compared with the prior art that uses manual determination of the signal source, the present application uses the mutual assistance of the terminal device, the cloud-based location selection server, and the drone device to not only realize the automatic and accurate selection of the signal source, but also effectively reduce the technical requirements for the staff, and reduce the labor and time costs.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

FIG1 is a schematic diagram of a signal source processing system structure provided in Embodiment 1 of the present application;

FIG2 is a schematic diagram of the structure of a signal source processing system provided in Embodiment 2 of the present application;

3 is a signaling flow chart of a signal source location selection method of a signal source processing system provided in Embodiment 4 of the present application;

FIG4 is a schematic diagram of the structure of a drone device provided in Embodiment 5 of the present application;

FIG5 is a schematic diagram of the structure of a cloud-based location selection server provided in Example 6 of the present application.

The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments.

Detailed ways

In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments made by ordinary technicians in this field under the enlightenment of the embodiments belong to the scope of protection of the present application.

The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

In the prior art, the location of the wireless signal source is selected based on the professional skills and experience of network engineers, which places high demands on the staff and has the problems of high labor costs and time costs. The idea of this application is to design a signal source processing system that can select the location of the wireless signal source without the participation of professionals, thereby reducing time and labor costs.

The technical solution of the present application is described in detail below through specific embodiments. It should be noted that the following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

FIG1 is a schematic diagram of the structure of a signal source processing system provided in Embodiment 1 of the present application. As shown in FIG1 , the signal source processing system 10 includes: a terminal device 11 , a cloud location selection server 12 and a drone device 13 .

More specifically, the terminal device 11 is used to send a signal source processing request to the cloud location selection server 12, and the signal source processing request includes: the identification of the house to be processed and the building information map corresponding to the identification of the house to be processed.

The cloud location selection server 12 is used to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device 11.

The terminal device 11 is further used to generate a scanning request and send it to the drone device 13. The scanning request includes: a 3D model number and a building information map corresponding to the identification of the house to be processed.

The drone device 13 is used to generate a scanning path corresponding to the building information map according to the scanning request, and scan the house to be processed according to the scanning path to obtain the object information in the house to be processed.

In this embodiment, for example, the drone device 13 obtains the object information in the house to be processed based on the collected two-dimensional and color information of the objects in the house to be processed and the three-dimensional form of the objects.

The cloud location selection server 12 is further configured to receive object information carrying a 3D model number sent by the drone device 13, and to establish a 3D scene model to be tested corresponding to the 3D model number according to the object information.

The cloud-based positioning server 12 is also used to query the scene model library. If there is a scene model identical to the 3D scene model to be tested, the position information of the signal source in the same scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device 11.

In this embodiment, the terminal device 11, the cloud location selection server 12, and the drone device 13 interact with each other through the operator network.

In this embodiment, by constructing a signal source processing system, the specific signal source processing system includes: a terminal device 11, a cloud-based location selection server 12 and a drone device 13; wherein the terminal device 11 is used to send a signal source processing request to the cloud-based location selection server 12, and the signal source processing request includes: an identifier of the house to be processed and a building information map corresponding to the identifier of the house to be processed; the cloud-based location selection server 12 is used to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device 11; the terminal device 11 is also used to generate a scanning request and send it to the drone device 13, and the scanning request includes: the 3D model number and the building information map corresponding to the identifier of the house to be processed. information map; the drone device 13 is used to generate a scanning path corresponding to the building information map according to the scanning request, and scan the house to be processed according to the scanning path to obtain the object information in the house to be processed; the cloud-based location selection server 12 is also used to receive the object information carrying the 3D model number sent by the drone device 13, and establish the 3D scene model to be tested corresponding to the 3D model number according to the object information; the cloud-based location selection server 12 is also used to query the scene model library, if there is a scene model that is the same as the 3D scene model to be tested, then the position information of the signal source in the same scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device 11. Compared with the prior art that uses manual determination of the signal source, the present application not only realizes the automatic and accurate selection of the signal source, but also effectively reduces the technical requirements for the staff, and reduces the labor and time costs.

FIG2 is a schematic diagram of the structure of a signal source processing system provided in the second embodiment of the present application. Based on the example shown in FIG1 above, as shown in FIG2, the cloud location server 12 in the signal source processing system 10 is also used to query the scene model library. If there is no scene model identical to the 3D scene model to be tested, the scene model with the highest similarity to the 3D scene model to be tested is queried and obtained, and the location information of the second signal source in the scene model with the highest similarity is obtained and sent to the drone device 13. The drone device 13 is also used to transmit the first wireless signal to be tested at the location information of the second signal source.

The system 10 further includes: a wireless signal detection device 14. Specifically, the wireless signal detection device 14 can be set in the house to be processed according to actual needs, and is used to send the location information of the wireless signal detection device 14 and the first wireless signal strength map generated based on the first wireless signal to be tested to the cloud location selection server 12.

Based on this, the cloud-based location selection server 12 is also used to generate a first wireless signal coverage map corresponding to the identification of the house to be processed based on the received location information of each wireless signal detection device 14 and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets the preset standard based on the first wireless signal coverage map. The cloud-based location selection server 12 is also used to send the location information of the second signal source to the terminal device 11 if it is determined that the location information of the second signal source meets the preset standard.

In addition, the cloud-based positioning server 12 is also used to obtain the position information of the third signal source and send it to the terminal device 11 based on the position information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the position information of the second signal source does not meet the preset standard.

Furthermore, since there is no scene model identical to the 3D scene model to be tested in the scene model library, after the signal source of the house to be processed is determined, the cloud-based location selection server 12 is also used to store the 3D scene model to be tested, as well as the location information of the second signal source/the location information of the third signal source in the scene model library.

In this embodiment, if there is no scene model identical to the 3D scene model to be tested in the scene model library, the position information of the second signal source in the scene model with the highest similarity to the 3D scene model to be tested is obtained and sent to the drone device 13, the drone device 13 flies to the position of the second signal source and transmits the first wireless signal to be tested, the wireless signal detection device 14 receives the first wireless signal to be tested and generates a first wireless signal strength map, and sends its own position coordinate information and the first wireless signal strength map to the cloud-based positioning server 12, the cloud-based positioning server 12 generates a first wireless signal coverage map corresponding to the identification of the house to be processed according to the position coordinate information of the wireless signal detection device 14 and the first wireless signal strength map, and determines whether the position information of the second signal source meets the preset standard according to the first wireless signal coverage map. If the preset standard is reached, the cloud-based positioning server 12 sends the location information of the second signal source to the terminal device 11, and stores the 3D scene model to be tested and the location information of the second signal source in the scene model library; if the preset standard is not reached, the cloud-based positioning server 12 obtains the location information of the third signal source based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map, sends the location information of the third signal source to the terminal device 11, and stores the 3D scene model to be tested and the location information of the third signal source in the scene model library. Compared with the prior art that uses manual determination of the signal source, the present application not only realizes the automatic location of the wireless signal source, and accurately selects the signal source, but also effectively reduces the technical requirements for the staff, and reduces labor and time costs.

On the basis of the example shown in FIG. 2 , in order to more accurately determine the signal source, the cloud-based positioning server 12 is further configured to send the position information of the third signal source to the drone device 13 .

The drone device 13 is also used to transmit a second wireless signal to be tested at the location information of the third signal source. The cloud location selection server 12 is also used to generate a second wireless signal coverage map based on the location information of each wireless signal detection device 14 received and a second wireless signal strength map generated based on the second wireless signal to be tested, and determine whether the location information of the third signal source meets the preset standard based on the second wireless signal coverage map.

In this embodiment, if the preset standard is met, the location information of the third signal source is sent to the terminal device 11. If the preset standard is not met, the location information of the next signal source is obtained based on the location information of the previous signal source, the 3D scene model to be tested, and the previous wireless signal strength map and sent to the drone device 13. This cycle is repeated until the preset standard is met.

Finally, the cloud-based location selection server 12 is also used to store the 3D scene model to be tested and the location information of the finally determined signal source in the scene model library.

In this embodiment, the terminal device 11, the cloud location selection server 12, the drone device 13 and the wireless signal detection device 14 interact with each other through the operator network.

In this embodiment, if there is no scene model identical to the 3D scene model to be tested in the scene model library, the position information of the second signal source in the scene model with the highest similarity to the 3D scene model to be tested is obtained and sent to the drone device 13, the drone device 13 flies to the position of the second signal source and transmits the first wireless signal to be tested, the wireless signal detection device 14 receives the first wireless signal to be tested and generates a first wireless signal strength map, and sends its own position coordinate information and the first wireless signal strength map to the cloud-based positioning server 12, the cloud-based positioning server 12 generates a first wireless signal coverage map corresponding to the identification of the house to be processed according to the position coordinate information of the wireless signal detection device 14 and the first wireless signal strength map, and determines whether the position information of the second signal source meets the preset standard according to the first wireless signal coverage map. If the preset standard is met, the cloud-based positioning server 12 sends the location information of the second signal source to the terminal device 11, and stores the 3D scene model to be tested and the location information of the second signal source in the scene model library; if the preset standard is not met, the cloud-based positioning server 12 obtains the location information of the third signal source based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map, and sends it to the drone device 13. The drone device 13 transmits the second wireless signal to be tested at the location of the third signal source. The cloud-based positioning server 12 is also used to generate a second wireless signal coverage map based on the location information of each received wireless signal detection device 14 and a second wireless signal strength map generated based on the second wireless signal to be tested, and determine whether the location information of the third signal source meets the preset standard based on the second wireless signal coverage map. If the preset standard is met, the location information of the third signal source is sent to the terminal device 11. If the preset standard is not met, the location information of the next signal source is obtained based on the location information of the previous signal source, the 3D scene model to be tested, and the previous wireless signal strength map, and sends it to the drone device 13, and the cycle is repeated until the preset standard is met. Compared with the prior art which uses manual determination of signal sources, the present application not only realizes automatic and accurate selection of signal sources, but also effectively reduces the technical requirements for staff and reduces labor and time costs.

A signal source processing system is provided in the third embodiment of the present application. On the basis of the above embodiments, the cloud-based positioning server 12 is also used to query the scene model library. If there is no scene model identical to the 3D scene model to be tested, and there is no scene model similar to the 3D scene model to be tested, then the fourth signal source position information is obtained according to the 3D scene model to be tested, and sent to the drone device 13; the drone device 13 is also used to transmit a third wireless signal to be tested at the position information of the fourth signal source; the cloud-based positioning server 12 is also used to generate a third wireless signal coverage map according to the received position information of each wireless signal detection device 14 and a third wireless signal strength map generated based on the third wireless signal to be tested, and determine whether the position information of the fourth signal source meets the preset standard according to the third wireless signal coverage map.

In this embodiment, the fourth signal source position may be selected according to the height of the object and the occlusion condition in the 3D scene model to be tested, and the fourth signal source position information may be obtained.

In this embodiment, if the preset standard is met, the location information of the fourth signal source is sent to the terminal device 11. If the preset standard is not met, the location information of the next signal source is obtained based on the location information of the previous signal source, the 3D scene model to be tested, and the previous wireless signal strength map and sent to the drone device 13. This cycle is repeated until the preset standard is met.

Finally, the cloud location selection server 12 is also used to store the 3D scene model to be tested and the final location information of the signal source in the scene model library.

In this embodiment, if there is a scene model identical to the 3D scene model to be tested in the scene model library, the position information of the signal source in the same scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device 11. If there is no scene model identical to the 3D scene model to be tested, and there is no scene model similar to the 3D scene model to be tested, the fourth signal source position information is obtained according to the 3D scene model to be tested. Compared with the prior art network engineers selecting the wireless signal source location based on professional skills and experience, this application does not require the participation of professionals, reducing time and labor costs.

FIG3 is a signaling flow chart of a signal source location selection method of a signal source processing system provided in Embodiment 4 of the present application, wherein the signal source processing system may be the system shown in the above embodiment. Specifically, as shown in FIG3 , the signal source location selection method of the signal source processing system specifically includes the following steps:

Step S301: The terminal device sends a signal source processing request to the cloud location selection server.

The signal source processing request includes: an identification of a house to be processed and a building information map corresponding to the identification of the house to be processed.

Step S302: the cloud location selection server creates a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request sent by the terminal device, and sends the 3D model number to the terminal device.

Step S303: The terminal device generates a scan request and sends it to the drone device.

Step S304: the drone device generates a scanning path corresponding to the building information map according to the scanning request, and scans the house to be processed according to the scanning path to obtain object information in the house to be processed.

In this embodiment, the drone device obtains the object information in the house to be processed based on the collected two-dimensional and color information of the objects in the house to be processed and the three-dimensional form of the objects.

Step S305: The cloud-based positioning server receives object information carrying a 3D model number sent by the drone device, and establishes a 3D scene model to be tested corresponding to the 3D model number based on the object information; the cloud-based positioning server queries the scene model library, and if there is a scene model identical to the 3D scene model to be tested, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device.

In this embodiment, if there is no scene model identical to the 3D scene model to be tested in the scene model library, the scene model with the highest similarity to the 3D scene model to be tested is queried and obtained, and the location information of the second signal source in the scene model with the highest similarity is obtained and sent to the drone device; the drone device transmits the first wireless signal to be tested at the location information of the second signal source. The wireless signal detection device set in the house to be processed receives the first wireless signal to be tested, generates a first wireless signal strength map based on the first wireless signal to be tested, and sends its own location information and the first wireless signal strength map to the cloud-based positioning server. The cloud-based positioning server generates a first wireless signal coverage map corresponding to the identification of the house to be processed based on the location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determines whether the location information of the second signal source meets the preset standard based on the first wireless signal coverage map.

If the preset standard is met, the location information of the second signal source is sent to the terminal device and the 3D scene model to be tested and the location information of the second signal source are stored in the scene model library. If the preset standard is not met, the location information of the third signal source is obtained based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map, and sent to the drone device. The drone device transmits the second wireless signal to be tested at the location of the third signal source. The wireless signal detection device set in the house to be processed receives the second wireless signal to be tested, generates a second wireless signal strength map based on the second wireless signal to be tested, and sends its own location information and the second wireless signal strength map to the cloud location selection server.

The cloud-based location selection server generates a second wireless signal coverage map corresponding to the identification of the house to be processed based on the location information of each wireless signal detection device and the corresponding second wireless signal strength map, and determines whether the location information of the third signal source meets the preset standard based on the second wireless signal coverage map, and repeats this process until the preset standard is met.

In addition, it should be noted that if there is no scene model that is identical to the 3D scene model to be tested, and there is no scene model that is similar to the 3D scene model to be tested, then according to the 3D scene model to be tested, the position information of the fourth signal source is obtained and sent to the drone device, and the drone device transmits the third wireless signal to be tested at the position information of the fourth signal source; the wireless signal detection device arranged in the house to be processed receives the third wireless signal to be tested, generates a third wireless signal strength map based on the third wireless signal to be tested, and sends its own position information and the third wireless signal strength map to the cloud-based positioning server. The cloud-based positioning server generates a third wireless signal coverage map corresponding to the identification of the house to be processed according to the position information of each wireless signal detection device and the corresponding third wireless signal strength map, and determines whether the position information of the fourth signal source meets the preset standard based on the third wireless signal coverage map, and repeats this process until the preset standard is met.

In this embodiment, the fourth signal source position may be selected according to the height of the object and the occlusion condition in the 3D scene model to be tested, and the fourth signal source position information may be obtained.

In this embodiment, a signal source location selection method is implemented by constructing a signal source processing system. Compared with the prior art where network engineers select the location of the wireless signal source based on professional skills and experience, this application does not require the participation of professionals, thereby reducing time and labor costs.

FIG4 is a schematic diagram of the structure of a drone device provided in Embodiment 5 of the present application; the drone device may be a drone device of a processing system of any of the above signal sources. Specifically, as shown in FIG4 , the drone device 13 includes: a first information interaction unit 131, a path finding unit 132, a laser radar scanning unit 133, a camera shooting unit 134, and an information processing unit 135.

The first information interaction unit 131 is used to receive a scanning request sent by the terminal device 11, where the scanning request includes: a 3D model number and a building information diagram corresponding to the identification of the house to be processed.

The path finding unit 132 is used to generate a scanning path corresponding to the building information diagram according to the scanning request.

The laser radar scanning unit 133 is used to scan the house to be processed according to the scanning path.

The camera shooting unit 134 is used to obtain two-dimensional information and/or three-dimensional information of the object during the scanning process performed by the laser radar scanning unit.

The information processing unit 135 is used to obtain object information in the house to be processed based on the two-dimensional information and/or three-dimensional information of the object.

The information interaction unit 135 is further used to send object information carrying the 3D model number to the cloud location selection server 12, so that the cloud location selection server 12 can select and process the signal source position of the processed house according to the object information.

The drone device 13 in this embodiment can execute the method example shown in FIG. 3 , and its implementation principle and technical effect are similar, which will not be described in detail here.

In a possible implementation, the drone device 13 further includes:

The wireless signal transmitting unit 136 is used to transmit a wireless signal to be tested at the location information of the signal source according to the test request carrying the signal source location information sent by the cloud location selection server.

FIG5 is a schematic diagram of the structure of a cloud-based location selection server provided in Embodiment 6 of the present application, and the cloud-based location selection server is a cloud-based location selection server of the processing system of any of the above signal sources. Specifically, as shown in FIG5 , the cloud-based location selection server 12 includes: a second information interaction unit 121, a 3D model number allocation unit 122, a 3D modeling unit 123, an information storage unit 124, and a wireless signal source location selection unit 125.

The second information interaction unit 121 is used to receive a signal source processing request sent by the terminal device 11, and the signal source processing request includes: an identification of the house to be processed and a building information map corresponding to the identification of the house to be processed.

The 3D model number allocating unit 122 is used to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device 11 through the second information interaction unit 121.

The 3D modeling unit 123 is used to receive the object information carrying the 3D model number sent by the drone device 13, and to establish a 3D scene model to be tested corresponding to the 3D model number according to the object information.

The information storage unit 124 is used to store the scene model library.

The wireless signal source location selection unit 125 is used to query the scene model library. If there is a scene model identical to the 3D scene model to be tested, the location information of the signal source in the same scene model is used as the location information of the first signal source in the 3D scene model to be tested, and the location information of the first signal source is sent to the terminal device 11.

The cloud location selection server 12 in this embodiment can execute the method example shown in FIG. 3 , and its implementation principle and technical effect are similar, which will not be described in detail here.

In a possible implementation, the wireless signal source location selection unit 125 is also used to query the scene model library. If there is no scene model identical to the 3D scene model to be tested, the scene model with the highest similarity to the 3D scene model to be tested is queried and obtained, and the location information of the second signal source in the scene model with the highest similarity is obtained and sent to the drone device 13.

The cloud-based location selection server 12 also includes: a wireless signal analysis unit 126, which is used to generate a first wireless signal coverage map corresponding to the identification of the house to be processed based on the location information of each wireless signal detection device received and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets the preset standard based on the first wireless signal coverage map.

The wireless signal analysis unit 126 is further configured to send the location information of the second signal source to the terminal device 11 when it is determined that the location information of the second signal source meets a preset standard.

In a possible implementation, the wireless signal analysis unit 126 is also used to obtain the location information of the third signal source and send it to the terminal device 11 based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the location information of the signal source does not meet the preset standard.

Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary techniques in the art that are not disclosed in the present application. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present application are indicated by the following claims.

It should be understood that the present application is not limited to the precise structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present application is limited only by the appended claims.

Claims (8)

1. A signal source processing system, characterized in that it comprises: a terminal device, a cloud location selection server and a drone device; wherein: The terminal device is used to send a signal source processing request to the cloud location selection server, wherein the signal source processing request includes: an identification of a house to be processed and a building information map corresponding to the identification of the house to be processed; The cloud location selection server is used to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device; The terminal device is further used to generate a scanning request and send it to the drone device, wherein the scanning request includes: the building information map corresponding to the 3D model number and the identification of the house to be processed; The drone device is used to generate a scanning path corresponding to the building information map according to the scanning request, and scan the house to be processed according to the scanning path to obtain object information in the house to be processed; The cloud location selection server is further used to receive the object information carrying the 3D model number sent by the drone device, and establish a 3D scene model to be tested corresponding to the 3D model number according to the object information; The cloud-based location selection server is further configured to query the scene model library, and if there is a scene model identical to the 3D scene model to be tested, use the position information of the signal source in the identical scene model as the position information of the first signal source in the 3D scene model to be tested, and send the position information of the first signal source to the terminal device; The cloud-based location selection server is further configured to query the scene model library, and if there is no scene model identical to the 3D scene model to be tested, query and obtain the scene model with the highest similarity to the 3D scene model to be tested, and obtain the position information of the second signal source in the scene model with the highest similarity and send it to the drone device; The drone device is further used to transmit a first wireless signal to be tested at the location information of the second signal source; Then the system also includes: A wireless signal detection device, arranged in the house to be processed, and used for sending the location information of the wireless signal detection device and a first wireless signal strength map generated based on the first wireless signal to be tested to the cloud location selection server; The cloud location selection server is further used to generate a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets the preset standard according to the first wireless signal coverage map; The cloud-based location selection server is further configured to send the location information of the second signal source to the terminal device upon determining that the location information of the second signal source meets the preset standard. 2. The signal source processing system according to claim 1, characterized in that: The cloud-based positioning server is further used to obtain the position information of the third signal source and send it to the terminal device based on the position information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the position information of the second signal source does not meet the preset standard. 3. The signal source processing system according to claim 1, characterized in that: The cloud-based location selection server is further configured to obtain the location information of the third signal source and send the location information to the UAV device based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when determining that the location information of the second signal source does not meet the preset standard; The drone device is further used to transmit a second wireless signal to be tested at the location information of the third signal source; The cloud-based positioning server is also used to generate a second wireless signal coverage map based on the location information of each received wireless signal detection device and a second wireless signal strength map generated based on the second wireless signal to be tested, and determine whether the location information of the third signal source meets the preset standard based on the second wireless signal coverage map. 4. The signal source processing system according to claim 1, characterized in that: The cloud-based location selection server is further configured to query the scene model library, and if there is no scene model identical to the 3D scene model to be tested, and if there is no scene model similar to the 3D scene model to be tested, obtain the fourth signal source position information according to the 3D scene model to be tested, and send the fourth signal source position information to the drone device; The drone device is further used to transmit a third wireless signal to be tested at the location information of the fourth signal source; The cloud-based positioning server is also used to generate a third wireless signal coverage map based on the location information of each received wireless signal detection device and a third wireless signal strength map generated based on the third wireless signal to be tested, and determine whether the location information of the fourth signal source meets the preset standard based on the third wireless signal coverage map. 5. The signal source processing system according to any one of claims 1 to 4, characterized in that: The cloud-based location selection server is further used to store the 3D scene model to be tested, and the position information of the second signal source/the position information of the third signal source/the position information of the fourth signal source in the scene model library. 6. A cloud location selection server, comprising: A second information interaction unit is configured to receive a signal source processing request sent by a terminal device, wherein the signal source processing request includes: an identification of a house to be processed and a building information diagram corresponding to the identification of the house to be processed; a 3D model number allocating unit, configured to establish a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request, and send the 3D model number to the terminal device through the second information interaction unit; The 3D modeling unit is used to receive the object information carrying the 3D model number sent by the drone device, and to establish a 3D scene model to be tested corresponding to the 3D model number according to the object information; An information storage unit, used for storing a scene model library; a wireless signal source location selection unit, configured to query the scene model library, and if there is a scene model identical to the 3D scene model to be tested, use the location information of the signal source in the identical scene model as the location information of the first signal source in the 3D scene model to be tested, and send the location information of the first signal source to the terminal device; The wireless signal source location selection unit is further used to query the scene model library, and if there is no scene model identical to the 3D scene model to be tested, query to obtain the scene model with the highest similarity to the 3D scene model to be tested, and obtain the location information of the second signal source in the scene model with the highest similarity and send it to the drone device; Then the cloud location selection server also includes: a wireless signal analysis unit, configured to generate a first wireless signal coverage map corresponding to the identifier of the house to be processed according to the received location information of each wireless signal detection device and the corresponding first wireless signal strength map, and determine whether the location information of the second signal source meets a preset standard according to the first wireless signal coverage map; The wireless signal analysis unit is further configured to send the location information of the second signal source to the terminal device when it is determined that the location information of the second signal source meets the preset standard. 7. The cloud location selection server according to claim 6, characterized in that: The wireless signal analysis unit is also used to obtain the location information of the third signal source and send it to the terminal device based on the location information of the second signal source, the 3D scene model to be tested, and the first wireless signal coverage map when it is determined that the location information of the second signal source does not meet the preset standard. 8. A signal source processing method, applied to the signal source processing system according to any one of claims 1 to 5, characterized in that the method comprises: The cloud-based location selection server establishes a 3D model number corresponding to the identifier of the house to be processed according to the signal source processing request sent by the terminal device, and sends the 3D model number to the terminal device, so that the terminal device generates a scanning request and sends it to the drone device, so that the drone device generates a scanning path corresponding to the building information map according to the scanning request, and scans the house to be processed according to the scanning path to obtain object information in the house to be processed; The cloud location selection server receives the object information carrying the 3D model number sent by the drone device, and establishes a 3D scene model to be tested corresponding to the 3D model number according to the object information; The cloud-based positioning server queries the scene model library, and if there is a scene model identical to the 3D scene model to be tested, the position information of the signal source in the identical scene model is used as the position information of the first signal source in the 3D scene model to be tested, and the position information of the first signal source is sent to the terminal device.