CN105636196A - Indoor positioning method suitable for electronic device and electronic device thereof - Google Patents

Abstract

The invention discloses an indoor positioning method suitable for an electronic device and the electronic device thereof. Firstly, a database is established, which comprises at least one virtual position and corresponding environment characteristic information, wherein the environment characteristic information comprises at least one corresponding signal waveform characteristic with identification. Then, the signal change of a plurality of first signal sources of an indoor environment is detected, and a plurality of first signal identification information corresponding to the first signal sources is obtained, wherein the first signal identification information represents the signal waveform characteristics of the signals of the first signal sources changing along with time. Then, the database is searched according to the first signal identification information to obtain a search result. And when the search result shows that the environmental characteristic information is similar to or the same as the signal waveform characteristics of the first signal identification information, determining that the indoor environment where the electronic device is located is a virtual position.

Description

Indoor positioning method suitable for electronic device and electronic device thereof

technical field

The present invention relates to an indoor positioning method and related electronic devices, in particular to an indoor positioning method capable of positioning according to signal characteristics of indoor environment signal sources and related electronic devices.

Background technique

In recent years, portable devices, such as handheld devices, have become more technologically advanced and multifunctional. For example, a handheld device may have communication capabilities, have the ability to receive e-mail messages, have advanced phonebook management applications, allow multimedia playback, and have various other functions. Due to the convenience brought by these multifunctional devices, these devices have also become one of people's daily necessities.

With the change of users' requirements and the popularization of network technology, the applications on users' portable devices such as smart phones may be adjusted according to the environment. silent mode. Therefore, some portable devices start to provide the function of local service, for example, when it is recognized that the user is having a meeting in the conference room, the mobile phone is automatically adjusted to a silent mode. However, the premise of providing site-appropriate services is that the environmental location of the user must be able to be located first, especially when the user is indoors.

A common indoor positioning system utilizes a “Radio Signal Strength Indicator-signature-based (RSSI-signature-based) technology to perform indoor positioning. The basic technology of RSSI identification mainly uses the strength of signal reception or transmission between a signal receiver/transmitter and multiple signal transmitting stations/receiving stations (usually wireless network base stations) set in different places indoors to determine Further know the location of the signal receiver/transmitter.

However, the positioning accuracy of using the RSSI identification basic system for indoor positioning will decrease with the aging of the RSSI identification timeliness. In addition, the antenna directivity of each signal transmitting station/receiving station, the noise interference caused by indoor moving objects or fixed obstacles, the angle, position and direction changes when carrying the signal receiver/transmitter, and the beacon Changes in (beacon) distance and the like will affect the accuracy of existing indoor positioning. Another way is to directly use a positioning system such as the Global Positioning System (GPS) for precise positioning, but it is likely to bring doubts about personal privacy.

Therefore, a simpler indoor positioning method is needed.

Contents of the invention

In view of this, the present invention provides an indoor positioning method suitable for an electronic device and the electronic device thereof.

An indoor positioning method suitable for electronic devices of the present invention is used to identify an indoor environment where the electronic devices are located. The method includes the following steps. Firstly, a database is established, wherein the database includes at least one virtual location and its corresponding environment characteristic information, and the environment characteristic information includes at least one distinguishable signal waveform characteristic corresponding to the virtual location. Next, detect the signal changes of the plurality of first signal sources in the indoor environment, and obtain the plurality of first signal identification information corresponding to the first signal source, wherein the first signal identification information represents the signal waveform characteristics of the signal of the first signal source as a function of time . Afterwards, according to the first signal identification information, the database is searched to obtain a search result. When the search result indicates that the environmental characteristic information is similar or identical to the signal waveform characteristic of the first signal identification information, it is determined that the indoor environment where the electronic device is located is a virtual location.

The invention also provides an electronic device, which includes a storage unit, a wireless module and a processing unit. The storage unit stores a database, wherein the database includes at least one virtual location and its corresponding environment characteristic information, and the environment characteristic information includes at least one distinguishable signal waveform characteristic corresponding to the virtual location. The processing unit is coupled to the storage unit and the wireless module, and is used to detect signal changes of a plurality of first signal sources in an indoor environment through the wireless module, and obtain identification information of the plurality of first signals corresponding to the first signal sources, wherein the first signal identification The information represents the signal waveform characteristics of the signal of the first signal source according to the time variation. According to the first signal identification information, the database is searched to obtain a search result, and when the search result represents the environmental characteristic information and the signal waveform characteristics of the first signal identification information When similar or identical, the indoor environment is determined to be a virtual location.

The above method of the present invention may be in the form of program code embedded in a tangible medium. When the program code is loaded into a machine and executed by the machine, the machine becomes a device for implementing the disclosed method.

Description of drawings

FIG. 1 shows a schematic diagram of an electronic device according to an embodiment of the present invention;

FIG. 2 shows a flowchart of an indoor positioning method according to an embodiment of the present invention;

FIG. 3 shows a flowchart of an indoor positioning method according to another embodiment of the present invention;

Figure 4 shows a schematic diagram of a database according to an embodiment of the present invention; and

FIG. 5 is a schematic diagram showing signal waveform characteristics of a signal source according to an embodiment of the present invention.

Symbol Description:

100～electronic device; 110～wireless module; 120～processing unit; 130～storage unit; 132～database;

SA1-SA4～wireless signal source;

S202, S204, S206～steps;

S302, S304, S306, S308, S310, S312～steps;

400 - database; and 510, 520 - waveform characteristics.

detailed description

In order to make the above and other purposes, features, and advantages of the present invention more comprehensible, the preferred embodiments are specifically listed below, together with the accompanying drawings, and are described in detail as follows:

FIG. 1 shows a schematic diagram of an electronic device according to an embodiment of the invention. According to the embodiment of the present invention, the electronic device 100 and the wireless signal sources SA1-SA4 are located within a specific distance, and can communicate with each other and data through a wireless communication protocol such as Bluetooth, NFC, Zigbee, Wireless Fidelity (WiFi), etc. transmission. Wherein, the electronic device 100 and the wireless signal sources SA1 - SA4 may be of the same type or different types of electronic devices, such as smart phones, personal digital assistants, laptop systems or tablet computers. Each wireless signal source SA1-SA4 can establish a wireless connection with the device 100 through a specific wireless communication protocol such as a WIFI protocol, so that it can be wirelessly connected to the device 100, so that data can be transmitted wirelessly with the device 100, for example: The WIFI wireless signal is transmitted to the device 100 through a WIFI protocol. For example, in one embodiment, the wireless signal sources SA1 and SA2 can be fixed signal sources such as wireless base stations or wireless access points (Accesspoints, APs) set at fixed locations, and the wireless signal sources SA3 and SA4 can be It is a floating signal source such as, but not limited to, a mobile device that functions as a wireless base station or a wireless access point. For example, the wireless signal source can be a fixed AP set up in the meeting room, and mobile devices of other users who periodically turn on the wireless base station function in the meeting room.

The electronic device 100 may at least include a wireless module 110 , a processing unit 120 , and a storage unit 130 . The wireless module 110 can establish a wireless connection with other wireless signal sources through a specific wireless communication protocol such as Bluetooth, NFC, Zigbee, WIFI, etc., so that it can wirelessly connect to the wireless signal sources SA1-SA4, so it can receive wireless signal sources SA1-SA4. The wireless signal sent by SA4 is eg WIFI signal. In one embodiment, the wireless module 110 may further include a baseband unit (not shown) and a radio frequency (Radio Frequency, RF) module (not shown). The baseband unit may include multiple hardware devices to perform baseband signal processing, including analog-to-digital conversion (analogtodigitalconversion, ADC)/digital-to-analogconversion (digitaltoanalogconversion, DAC), gain (gain) adjustment, modulation and demodulation, and encoding /decode etc. The radio frequency module can receive the radio frequency wireless signal and convert the radio frequency wireless signal into a base frequency signal for further processing by the base frequency unit, or receive the base frequency signal from the base frequency unit and convert the base frequency signal into a radio frequency wireless signal for transmission . The radio frequency module can also include a plurality of hardware devices to perform the above radio frequency conversion. For example, the radio frequency module can include a mixer (mixer) to multiply the base frequency signal by the oscillating carrier in the radio frequency of the mobile communication system, wherein the radio frequency can be 900 MHz, 1900 MHz, or 2100 MHz for Wideband Code Division Multiple Access (WCDMA), or 900 MHz, 2100 MHz, or 2600 MHz for Long Term Evolution (LTE), or other wireless storage Depends on technical standards. In addition, the processing unit 120 can be used to control the operating status of the wireless module 110 and other functional modules, such as a screen unit (not shown) and/or a keypad for providing a human-machine interface, and for storing application programs. The storage unit 130 and the like for the program code of the communication protocol. In some embodiments, the screen unit is a screen combined with a touch sensing device (not shown). The touch sensing device has a touch surface including at least one-dimensional sensors for detecting contact and movement of a control tool, such as a finger or a stylus, on the surface. The screen unit can also display related information, related icons and interfaces, and the like.

The storage unit 130 can be various types of storage devices such as internal memory or external memory card, etc., and can store a signal feature database 132, which records various virtual positions and corresponding signal waveform features. Specifically, the database 132 may include one or more virtual locations and their corresponding environment or location characteristic information, wherein the location characteristic information of each virtual location includes at least one or more identifiable stable changes corresponding to the virtual location signal waveform characteristics. The details of generating the signal feature database 132 will be described later.

The processing unit 120 (for example: a hardware processor) is coupled to the wireless module 110 and the storage unit 130 and can be used to execute the indoor positioning method of the present invention, the details of which will be described later. Specifically, the processing unit 120 can execute a learning program for learning to recognize the environmental characteristics of each virtual location of the user and generate the database 132 including the environmental characteristics of all virtual locations. In addition, the processing unit 120 may further execute an environment identification program for indoor positioning according to the aforementioned database 132 so as to identify the indoor environment where the user is located according to the signal waveform characteristics of the indoor environment. It should be noted that since the indoor positioning method of the present invention is used to identify the virtual position of the indoor environment where the user is located, rather than precisely locating the position of the user in the indoor environment, there is no need to consider the size of the entire indoor space and the sampling The distribution can be applied to various indoor environments.

The processing unit 120 can execute an indoor positioning method for identifying an indoor environment where the electronic device is located. First, the processing unit 120 executes the learning program, detects the signal source signal characteristics of each virtual environment through the wireless module 110, and establishes the database 132, wherein the database 132 includes each virtual location and its corresponding environmental characteristic information, and the environmental characteristic information includes the corresponding At least one identifiable signal waveform feature at the virtual location. Please refer to the relevant description in Figure 2 below for details about the establishment of the database.

Next, when the processing unit 120 needs to locate in an unknown indoor environment, it executes the environment identification program, detects and collects the signal changes of all detectable first signal sources in the indoor environment through the wireless module 110, and obtains the signal changes of each first signal source. Corresponding to one or more first signal identification information, wherein the first signal identification information represents the signal waveform characteristics of the signal of the first signal source varying with time. Afterwards, the processing unit 120 searches the database 132 according to all the first signal identification information to obtain a search result. When the search result shows that the environmental feature information is similar or identical to the signal waveform feature of the first signal identification information, the processing unit 120 determines that the indoor environment where the electronic device is located is a virtual location corresponding to the similar or identical first signal identification information. . For details about the environment recognition program, please refer to the relevant description of FIG. 3 below.

It should be noted that in the learning process of learning to identify the user's virtual position, the signal will change over time, for example: the RSSI signal strength of a certain signal source will be reflected, scattered, Diffraction and other multi-path effects and shielding effects, so the processing unit 120 should collect multiple signals for each signal at the customary placement position (such as: the left-hand side and right-hand side of the screen) of the virtualizable location (such as: office) Source intensity values over time to find environmental characteristics representative of each virtual location.

FIG. 2 shows a flowchart of an indoor positioning method according to an embodiment of the present invention, which is used to learn and recognize the environmental characteristics of a user's virtual location and generate a database including the environmental characteristics of all virtual locations. Please refer to Figure 1 and Figure 2 at the same time. The indoor positioning method according to the embodiment of the present invention can be applied to an electronic device, such as a portable device, such as a personal digital assistant, a smart phone, a mobile phone, a mobile Internet device, a digital camera, a multimedia player, a game device, or any other type of However, those skilled in the art should understand that the present invention is not limited thereto. For example, in this embodiment, the indoor positioning method can be executed by the processing unit 120 of the electronic device 100 . Note that, in this embodiment, the electronic device can be a mobile device, which can detect signals of wireless signal sources in any environment and collect signal strength values of each wireless signal source as a function of time.

First, as in step S202, at the same virtual location, the processing unit 120 collects several records for each detectable signal source for each habitual location where the user places the mobile device through the wireless module 110 (for example, it can be set Set as 10 pens) The signal waveform of the signal changing with time. Wherein, the timing of data collection can be after the user goes to a place where the mobile device is still (such as: home, office, conference room, etc.), and collects data without disturbing the user.

Next, in step S204, the processing unit 120 obtains a representative average signal waveform according to the collected signal waveforms. The processing unit 120 can properly adjust these collected signal waveforms to obtain a representative average signal waveform, for example, sum up the RSSI strengths of all collected signal waveforms at the same time point and calculate the average value of each point. The average value of the signal strength, and then use the calculated average value of the signal strength of each point to obtain a representative average signal waveform. It can be understood that, in the collection and establishment of signal waveforms, once the average signal waveform is calculated, the processing unit 120 can further compare the number of signal waveforms with the average waveform, and obtain an error change value (such as: standard difference, etc.) to sort the signal strength of each signal source at each virtual position, and the signal source with the larger error change value will have a smaller sorting value.

After obtaining the representative average signal waveform, in step S206 , each signal source and its representative average signal waveform are stored in the database, so as to establish the database 132 .

In some embodiments, the processing unit 120 can detect signal changes of at least one second signal source in a virtual location, obtain at least one signal waveform, calculate an average signal waveform according to each signal waveform, and set the average signal waveform to It is the environmental feature information corresponding to the second signal source and stored in the database. The processing unit 120 may further compare at least one signal waveform of the second signal source with the average signal waveform after obtaining the average signal waveform, and obtain an error change value comprehensively, and according to the error change value, each second of the virtual position Signal sources are sorted.

Afterwards, when the signal source of a certain virtual position changes a lot (for example: 80% of the acceptable signal sources all change), the process of re-learning and identifying the environmental features will start, and the learned environmental feature information will be used after the learning is completed. Update to database 132. In some embodiments, the processing unit 120 may re-execute a learning and identification procedure to obtain at least one distinguishable signal waveform feature and convert at least one The distinguishable signal waveform feature is set to the virtual location and the environmental feature information corresponding to the virtual position is added to the database.

Specifically, the processing unit 120 can detect the environmental feature information of the user's daily environment, such as the Wi-Fi AP name and signal strength of the home, office, conference room, etc., and collect each group of user's environment information. The strength value of the signal source changes with time, observe the periodic changes of the signal, and find out several identifiable and stable signal waveform characteristics in each environment, as the signal characteristic information of the environment, so as to establish the signal characteristic data of different environments library and provide comparisons. For example, the processing unit 120 can collect the signal strength of each signal source in an environment to form a set of vectors (SignalStrengthVector, SSV) to describe the spatial position of the user. For example, the virtual position position_1 can obtain the following signal strength vector SSVposition_1:

SSV _{position_1} ＝[S _A1 ,S _A2 ,S _A3 ,S _A4 ,S _A5 ,S _A6 ],

Among them, SA1-SA6 respectively represent the signal waveform characteristics of the signal strength values of the six signal sources A1-A6 in the virtual position position_1 changing with time, and the signal strength values can be received signal strength (Receivedsignalstrengthindication, RSSI), signal-to-noise ratio (SignaltoNoiseRatio , SNR) and other quantifiable values.

The processing unit 120 can sequentially collect each device placement position of the user at each virtual position and the signal sent by each signal source, so as to complete the establishment of the database. Similarly, the processing unit 120 can obtain the signal strength vector SSVposition_2 represented by the virtual position position_2 as follows through the aforementioned learning and identification procedure:

SSV _{position_2} ＝[S _B1 ,S _B2 ,S _B3 ,S _B4 ],

Wherein, SB1-SB4 respectively represent the signal waveform characteristics of the signal strength values of the four representative signal sources B1-B4 in the virtual position position_2 changing with time, and so on. FIG. 4 is a schematic diagram showing a database according to an embodiment of the present invention. As shown in FIG. 4 , the database 400 includes at least three virtual positions Position_1 (for example: office), Position_2 (for example: meeting room) and Position_3 (for example: home) and their corresponding environmental feature information, wherein the environment of the virtual position Position_1 The feature information is the vector [SA1,SA2,,,.SAK], the environmental feature information of the virtual position Position_2 is the vector [SB1,SB2,,,.SBL] and the environmental feature information of the virtual position Position_3 is the vector [SC1,SC2,, ,.SCM], and so on. Wherein, K, L, and M may be the same or different values, which may be determined according to design requirements and signal strength. For example, assuming that a total of N signal sources are detected at the virtual position Position_1, only the waveform characteristics of the first K (1<=K<=N) signal sources with the strongest signal strength among the signal sources can be taken as virtual Environmental feature information of position Position_1.

Afterwards, when the user is in an unknown environment, the processing unit 120 can detect each WIFI signal and strength of the unknown environment, find out the waveform characteristics of the signal and compare it with the established database (for example: database 400), To find similar or identical environmental characteristics from the database, and then provide corresponding services suitable for the environment. It should be noted that if no matching virtual location can be identified in the database, it means that it may be a new virtual location, and re-learning to identify a new location is started.

FIG. 3 shows a flow chart of an indoor positioning method according to another embodiment of the present invention, which is used to identify the location of the indoor environment where the electronic device is located. Please refer to Figure 1 and Figure 3 at the same time. The indoor positioning method according to the embodiment of the present invention can be applied to an electronic device, such as a portable device, such as a personal digital assistant, a smart phone, a mobile phone, a mobile Internet device, a digital camera, a multimedia player, a game device, or any other type of However, those skilled in the art should understand that the present invention is not limited thereto. It should be noted that in this embodiment, it is assumed that the electronic device has established a database containing environmental characteristic information of each virtual location through the learning and recognition program in FIG. 2 and the database is stored in the storage unit of the electronic device.

First, when the electronic device (for example: a mobile device) is placed in an unknown environment, the processing unit 120 collects all detectable WIFI signal sources and their signal strength changes in the unknown environment through the wireless module 110 to find out Identification feature information of each WIFI signal source (step S302). Wherein, the identification characteristic information of each WIFI signal source may include a WIFI identification code of the WIFI signal source and its signal waveform characteristics changing with time. Next, the processing unit 120 compares the identification feature information of each WIFI signal source with the environmental feature information in the database, and determines whether a similar environmental feature can be found in the database (step S304). Wherein, whether the identification feature information of each WIFI signal source is similar to the waveform feature of the environmental feature information in the database can be judged by existing algorithms, such as cluster analysis, classification algorithms and other algorithms. In some embodiments, if the error value between the waveform feature of the identification feature information of the WIFI signal source in the unknown environment and the waveform feature of the environmental feature information of any signal in the database is less than a predetermined threshold, the comparison is considered successful. In some embodiments, if all the signals in a signal strength vector are successfully compared with the waveform features of the identification feature information of the WIFI signal source in the unknown environment, it will be determined that they are similar environmental features. In some embodiments, if the first few groups of signals in the signal strength vector or the signals exceeding a predetermined number of groups are successfully compared with the signal waveform characteristics represented by the identification feature information of the WIFI signal in the unknown environment, it can be determined to be similar environmental characteristics. For example, assuming that a certain signal strength vector contains a total of 6 groups of signals, it can be determined that they have similar environmental characteristics or require 6 groups of signals when more than 3 groups of signals are successfully compared with the signal waveform characteristics of the signal source in the unknown environment Only when the waveform features of the signal of the unknown environment are compared successfully can it be determined as a similar environmental feature. On the contrary, if there are only less than 3 groups of signals in the signal strength vector and the waveform characteristics of the signal in the unknown environment are successfully compared, it will be determined as non-similar environmental characteristics, and the next group of environmental characteristics in the database will be compared.

After determining the similar environmental features, the processing unit 120 can identify the current location of the user as the location corresponding to the similar environmental features in the database. In some embodiments, a virtual location further includes a plurality of second signal characteristic information, and only when all the second signal characteristic information is identical or similar to the first signal identification information, the processing unit 120 determines the indoor location of the electronic device 100 The environment is this virtual location. In one embodiment, when the waveform features of the first signal identification information and at least a predetermined amount of the second signal feature information are the same or similar, the processing unit 120 determines that the indoor environment of the electronic device 100 is the virtual location.

If so (Yes in step S304), it means that the environment is an identified virtual location such as an office, so the processing unit 120 recognizes that the unknown environment is the first location corresponding to the found similar environmental features (step S306) and provides Locality service corresponding to the first location (step S308). For example, when the first position indicates a conference room, it means that the user may be preparing for a meeting or is in a meeting, and the corresponding site-appropriate service can automatically mute the electronic device or automatically open the notepad, recording function, etc. to assist in meeting minutes , but the present invention is not limited thereto.

For example, the waveform characteristics of the signal sources recorded at each virtual location in the database can be compared with the signal sources (SSID) received by the mobile device; the virtual locations of several of the compared signal sources can be obtained, and then Calculate the signal difference value with each compared signal source one by one (for example: the complex Euclidean distance between the received identification information of the signal source and the obtained waveform characteristics of the signal source at each virtual position can be calculated (Euclideandistance) as its signal difference value), the virtual position with the smallest signal difference value can be determined as the user's current position. Referring to FIG. 5 , it is a schematic diagram showing signal waveform characteristics of a signal source according to an embodiment of the present invention. As shown in Fig. 5, assuming that the waveform characteristics of a certain group of signal sources in the database after collection and sorting are broken lines 510 shown in thick lines, when the waveform characteristics of the detected environmental signal sources are broken lines 520 shown in dotted lines , it is compared with the broken line 510 of the thick line, and the virtual position with the smallest signal difference value can be determined as the current position of the user.

In some embodiments, it is assumed that the electromagnetic wave is a kind of energy transmission, even if there are some shielding, scattering and interference from obstacles, but under the condition of the same environment, the signal may still appear regularly. Therefore, to obtain the characteristics of a signal source for a certain place, it is to record the signal strength at each time point within a period of time (for example: record once at the 0th second, record once at the 2nd second, record once at the 4th second... etc.) A signal waveform (actually looks like a line graph). After sampling several signal waveforms, organize (filter noise signals, align and superimpose) into a representative waveform with discrimination. The comparison method is to use a signal processing correlation method to calculate the similarity between the signal source to be compared and the representative waveform. It should be noted that the signals in the real environment are too cluttered, as if randomly generated, and cannot be organized into a representative waveform; however, even in two virtual positions where the same signal source (AP) can be detected, there are still differences in intensity ( Such as: a virtual position is about -40dBm, another virtual position is -60dBm). Therefore, by collecting the signal strength mean (mean) and variance (variance) over a period of time, it can be considered that the location can detect the signal strength distribution of a certain signal source; After adjustment, a membership function is provided to calculate the similarity between the signal source to be compared and the signal source.

Conversely, when it is judged that no similar environmental characteristics can be found from the database (No in step S304), it means that the environment is a new location, so the processing unit 120 then inquires whether it is necessary to record the relevant waveform characteristics of the unknown environment into the database (Step S310), if yes, re-use the learning and identification program in FIG. 2 to find out several stable waveform features of the environment, and record them in the database as the environmental features of the environment (Step S312). Otherwise, the environment identification procedure ends. In one embodiment, when the search result indicates that the signal waveform characteristics of the environmental characteristic information and the first signal identification information are not similar or different, the processing unit 120 may add the indoor environment as a second virtual location and add the indoor environment to The first signal identification information of the plurality of first signal sources is set as the corresponding environment feature information of the second virtual location and stored in the database for use in subsequent environment identification procedures.

Therefore, according to the indoor positioning method of the present invention and its related electronic devices, it is possible to collect the characteristic information of each group of signal sources in each virtual location as a function of time, and find several identifiable and stable signal waveforms in each virtual location. Features, as the signal characteristics of each virtual location, do not need to consider the size of the entire indoor space and the distribution of sampling, so as to establish a database of signal characteristics in different locations and provide comparisons to identify the space where the user is located, and then provide suitable The corresponding service of the environment, and can further affix a personal label to the user's environment, effectively eliminating doubts about privacy.

The methods of the present invention, or specific forms or parts thereof, may exist in the form of program codes. The program code may be contained in a physical medium, such as a floppy disk, a CD, a hard disk, or any other machine-readable (such as a computer-readable) storage medium, or a computer program product in an external form, where, when the program When the code is loaded and executed by a machine, such as a computer, the machine becomes a device for participating in the present invention. The program code can also be transmitted through some transmission medium, such as wire or cable, optical fiber, or any transmission form, wherein when the program code is received, loaded and executed by a machine, such as a computer, the machine becomes used to participate in this invented device. When implemented on a general-purpose processing unit, the program code combines with the processing unit to provide a unique device that operates similarly to application-specific logic circuits.

Although the present invention has been disclosed above with preferred embodiments, it is not intended to limit the present invention. Any person in the technical field, including those with ordinary knowledge, may make some changes and modifications without departing from the spirit and scope of the present invention. retouch. For example, the systems and methods described in the embodiments of the present invention can be implemented in physical embodiments of hardware, software, or a combination of hardware and software. Therefore, the protection scope of the present invention shall be determined by the claims.

Claims (17)

1. being applicable to an indoor orientation method for electronic installation, in order to an indoor environment at this electronic installation place of identification, the method comprises the following steps:

Setting up an information bank, wherein this information bank includes the environmental characteristic information of at least one virtual location and correspondence thereof, and this environmental characteristic information includes the signal waveform feature of at least one tool identification corresponding to this virtual location;

Detecting the signal intensity of plural number first signal source of this indoor environment, obtain this plural number the first signal identification information corresponding to the first signal source, wherein this first signal identification information represents the signal waveform feature that the signal of this first signal source changes according to the time;

According to this first signal identification information, search this information bank, obtain a search result; And

When this search result represents the signal waveform feature similarity of this environmental characteristic information and this first signal identification information or is identical, it is determined that this indoor environment at this electronic installation place is this virtual location.

2. the method for claim 1, it is characterised in that the step setting up this information bank also includes:

Detect the signal intensity at least one secondary signal source of this virtual location, obtain at least one signal waveform;

According to respectively this at least one signal waveform, calculate an average signal waveform; And

This average signal waveform is set to this environmental characteristic information corresponding to this secondary signal source and stores to this information bank.

3. method as claimed in claim 2, it is characterised in that also include:

Obtaining after this average signal waveform, this at least one signal waveform in this secondary signal source of comparison and this average signal waveform, comprehensively draw an error change value; And

According to this error change value, respectively this secondary signal source of this virtual location is ranked up.

4. the method for claim 1, it is characterised in that also include:

When producing to change in a large number in detect this virtual location one at least one secondary signal source, re-executing a Learning Identification program, the signal waveform feature obtaining at least one tool identification this environmental characteristic information that the signal waveform feature of this at least one tool identification is set to this virtual environment corresponding increase newly to this information bank.

5. the method for claim 1, it is characterised in that also include:

When this search result represents that this environmental characteristic information is dissimilar with the signal waveform feature of this first signal identification information or differs, this indoor environment newly-increased is one second virtual location and this first signal identification information is set to environmental characteristic information corresponding to this second virtual location and stores to this information bank.

6. the method for claim 1, it is characterized in that, this virtual location also includes plural number secondary signal characteristic information and when such secondary signal characteristic information and such first signal identification information are all same or similar, it is determined that this indoor environment at this electronic installation place is this virtual location.

7. the method for claim 1, it is characterized in that, this virtual location also include such secondary signal characteristic information of plural number secondary signal characteristic information and such first signal identification information and at least one given amount all same or similar time, it is determined that this indoor environment at this electronic installation place is this virtual location.

8. the method for claim 1, it is characterised in that also include:

The signal source identification code of such first signal source of comparison, obtains the virtual location that the number of sources that arrives of comparison is wherein several;

Calculate the signal difference value between such signal source that each comparison is arrived; And

Judge that this indoor environment at this electronic installation place is as this virtual location corresponding to minimum one in such signal difference value.

9. an electronic installation, including:

One storage element, stores an information bank, and wherein this information bank includes at least one virtual location and corresponding environmental characteristic information thereof, and this environmental characteristic information includes the signal waveform feature of at least one tool identification corresponding to this virtual location;

One wireless module; And

One processing unit, it is coupled to this storage element and this wireless module, in order to be detected the signal intensity of plural number first signal source of an indoor environment by this wireless module, obtain plural number the first signal identification information corresponding to such first signal source, wherein such first signal identification information represents the signal waveform feature that the signal of such first signal source changes according to the time, according to such first signal identification information, search this information bank, obtain a search result, and when this search result represents the signal waveform feature similarity of this environmental characteristic information and this first signal identification information or be identical, judge that this indoor environment is as this virtual location.

10. electronic installation as claimed in claim 9, it is characterized in that, this processing unit also detects the signal intensity at least one secondary signal source of this virtual location, obtain at least one signal waveform, according to respectively this at least one signal waveform, calculate an average signal waveform, and this average signal waveform is set to this environmental characteristic information corresponding to this secondary signal source and stores to this information bank.

11. electronic installation as claimed in claim 10, it is characterized in that, this processing unit is also after obtaining this average signal waveform, this at least one signal waveform in this secondary signal source of comparison and this average signal waveform, comprehensively draw an error change value, and according to this error change value, respectively this secondary signal source of this virtual location is ranked up.

12. electronic installation as claimed in claim 9, it is characterized in that, when this processing unit also produces to change in a large number in detect this virtual location one at least one secondary signal source, re-executing a Learning Identification program, the signal waveform feature obtaining at least one tool identification this environmental characteristic information that the signal waveform feature of this at least one tool identification is set to this virtual location corresponding increase newly to this information bank.

13. electronic installation as claimed in claim 9, it is characterized in that, when this search result represents that this environmental characteristic information is dissimilar with the signal waveform feature of this first signal identification information or differs, it is that one second virtual location and this correspondence environmental characteristic information that this first signal identification information is set to this second virtual location storage are to this information bank that this processing unit increases this indoor environment newly.

14. electronic installation as claimed in claim 9, it is characterized in that, this virtual location also includes plural number secondary signal characteristic information and when such secondary signal characteristic information and such first signal identification information are all same or similar, and this processing unit judges that this indoor environment at this electronic installation place is as this virtual location.

15. electronic installation as claimed in claim 9, it is characterized in that, this virtual location also includes plural number secondary signal characteristic information and when the wave character of such first signal identification information Yu such secondary signal characteristic information of at least one given amount is all same or similar, and this processing unit judges that this indoor environment at this electronic installation place is as this virtual location.

16. electronic installation as claimed in claim 9, it is characterized in that, the signal source identification code of such first signal source of this processing unit also comparison, obtain number of sources wherein several virtual locations that comparison is arrived, calculate the signal difference value between the signal source that arrives of each comparison, and judge that this indoor environment at this electronic installation place is as this virtual location corresponding to minimum one in this signal difference value.

17. electronic installation as claimed in claim 9, it is characterized in that, this processing unit more collects signal intensity meansigma methods and the variance of this first signal source in a period of time, obtain the signal intensity profile of this first signal source, and according to this meansigma methods and variance after adjustment, there is provided an ownership function, to calculate the similarity degree of each signal source and this first signal source being intended to comparison.