Ubiquitous signal space region identification method, apparatus and device, and storage medium

Abstract

The invention provides a ubiquitous signal space region identification method, device and equipment and a storage medium, and the method comprises the steps: collecting ubiquitous signal data of a target region, and constructing a ubiquitous signal fingerprint database based on the ubiquitous signal data; extracting region unit features of the ubiquitous signal database, and constructing a spatial feature element database based on the region unit features; collecting a to-be-detected ubiquitous signal, and extracting online unit characteristics of the to-be-detected ubiquitous signal; and matching the online unit characteristics of the ubiquitous signal to be detected with the regional unit characteristics of the ubiquitous signal database, and determining the regional information of the position of the ubiquitous signal to be detected. According to the invention, the to-be-measured data is compared with the more accurate small area data obtained through division, and the problem of poor ubiquitous signal space positioning effect in the prior art is solved.

Description

Technical Field

[0001] The present invention relates to the field of spatial positioning technology, and in particular to a ubiquitous signal space region recognition method, device, equipment and storage medium. Background Art

[0002] Ubiquitous signal environments usually have characteristics such as high crowd density, complex changes in ubiquitous signal characteristics, and many types of ubiquitous signal areas. Fingerprint matching and positioning methods in ubiquitous signal environments have higher requirements on the spatial characteristics of fingerprints.

[0003] In the commonly used ubiquitous signal positioning method based on fingerprint recognition, the fingerprint positioning matching results are usually integrated with the data of other motion sensors in the smart mobile terminal to improve the availability of positioning services, such as the multi-source sensor data fusion positioning system based on pedestrian dead reckoning. However, the ubiquitous positioning signal fingerprint matching positioning system will have low positioning results due to the strong matching problem of the fingerprint positioning method during the positioning process, especially in large indoor spaces, where errors in the positioning area will occur, resulting in unreasonable problems such as the positioning path of the fusion system passing through walls and being deduced to non-positioning areas.

[0004] There is currently no effective solution to the problem of poor spatial positioning of ubiquitous signals in the prior art. Summary of the invention

[0005] The present invention provides a ubiquitous signal space region identification method, device, equipment and storage medium, which are used to solve the defect of poor ubiquitous signal space positioning effect existing in the prior art.

[0006] In a first aspect, the present invention provides a ubiquitous signal space region identification method, comprising: Collecting ubiquitous signal data of a target area, and building a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is collected by a pre-deployed ubiquitous signal base station; Extracting regional unit features of the ubiquitous signal database, and constructing a spatial feature element database based on the regional unit features; Collecting a ubiquitous signal to be measured, and extracting online unit features of the ubiquitous signal to be measured; The online unit feature of the ubiquitous signal to be tested is matched with the regional unit feature of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be tested.

[0007] According to a ubiquitous signal spatial region recognition method provided by the present invention, ubiquitous signal data of a target region is collected, and a ubiquitous signal fingerprint database is constructed based on the ubiquitous signal data, including: Acquire a signal strength measurement value vector of the fingerprint ubiquitous signal of the target area; the signal strength measurement value vector is used to characterize the ubiquitous signal data of the target area; The ubiquitous signal data of the target area is classified according to the floors of the target area, and a corresponding ubiquitous signal fingerprint database is constructed.

[0008] According to a ubiquitous signal spatial region identification method provided by the present invention, regional unit features of the ubiquitous signal database are extracted, and a spatial feature element database is constructed based on the regional unit features, including: Determine the ubiquitous signal vector of each unit link; each unit link contains a number of mobile collection fingerprints within its range; Determining room characteristics of each room in the target area based on the ubiquitous signal vector of the unit link; Based on the room features of all the rooms in the target area, the floor features of each floor in the target area are determined, and a corresponding floor feature database is constructed; each floor includes a number of rooms.

[0009] According to a ubiquitous signal space area recognition method provided by the present invention, based on the ubiquitous signal vector of the unit link, determining the room characteristics of each room in the target area includes: Based on the ubiquitous signal vector of the unit link, setting a judgment condition of a segmentation point set; According to the judgment condition of the segmentation point set, the mobile collected fingerprints on the same floor in the target area are divided into a room feature set; the room feature set includes a plurality of room features.

[0010] According to a ubiquitous signal space region identification method provided by the present invention, based on the ubiquitous signal vector of the unit link, setting the judgment condition of the segmentation point set includes: Determine the position coordinates of the ubiquitous signal vector of the unit link; the position coordinates include east coordinates and north coordinates; Based on the ubiquitous signal vector of the unit link and the position coordinates, a judgment condition of the segmentation point set is determined.

[0011] According to a ubiquitous signal spatial region identification method provided by the present invention, the online unit feature of the ubiquitous signal to be tested is matched with the regional unit feature of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be tested, including: Determine a floor positioning result and a regional positioning result of the ubiquitous signal to be tested based on the online unit characteristics of the ubiquitous signal to be tested and the regional unit characteristics of the ubiquitous signal database; By combining the similarity between the floor positioning result and the area positioning result, the area information of the location of the ubiquitous signal to be detected is obtained.

[0012] According to a ubiquitous signal spatial region identification method provided by the present invention, based on the online unit characteristics of the ubiquitous signal to be tested and the regional unit characteristics of the ubiquitous signal database, the floor positioning result and the regional positioning result of the ubiquitous signal to be tested are determined, including: Acquire an online ubiquitous signal vector of the ubiquitous signal to be measured; the online ubiquitous signal vector is used to characterize the online unit characteristics of the ubiquitous signal to be measured; Performing a similarity comparison between the online ubiquitous signal vector and the floor feature vector of the floor feature to determine the floor positioning result of the ubiquitous signal to be tested; A similarity comparison is performed between the online ubiquitous signal vector and the room feature vector of the room feature to determine a region positioning result of the ubiquitous signal to be tested.

[0013] In a second aspect, the present invention further provides a ubiquitous signal space region identification device, comprising: A collection module, used to collect ubiquitous signal data of a target area and build a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is collected by a pre-arranged ubiquitous signal base station; An extraction module, used to extract regional unit features of the ubiquitous signal database, and construct a spatial feature element database based on the regional unit features; An acquisition module, used for collecting the ubiquitous signal to be measured and extracting the online unit characteristics of the ubiquitous signal to be measured; The positioning module is used to match the online unit characteristics of the ubiquitous signal to be measured with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

[0014] In a third aspect, the present invention further provides an electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the ubiquitous signal space region identification method as described in the first aspect above is implemented.

[0015] In a fourth aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the ubiquitous signal space region identification method as described in the first aspect above.

[0016] In a fifth aspect, the present invention further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the ubiquitous signal space region identification method as described in the first aspect above.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The ubiquitous signal space area identification method provided by the present invention divides the target area into more detailed area units, so that in the subsequent positioning process, the data to be tested can be compared with the more accurate small area data obtained by the division, thereby preventing the positioning path from passing through walls and being deduced to non-positioning areas, thereby solving the problem of poor ubiquitous signal space positioning effect existing in the existing related technologies. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 is a flow chart of the ubiquitous signal space region identification method provided by the present invention; Figure 2 It is a structural block diagram of the ubiquitous signal space region identification device provided by the present invention; Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The present invention provides a ubiquitous signal space region recognition method. Figure 1 is a flow chart of the ubiquitous signal space region identification method provided by the present invention, such as Figure 1 As shown, the method comprises the following steps: Step S101 , collecting ubiquitous signal data of a target area, and building a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is collected by a pre-deployed ubiquitous signal base station.

[0022] Step S102: extracting regional unit features of the ubiquitous signal database, and constructing a spatial feature element database based on the regional unit features.

[0023] Step S103 , collecting the ubiquitous signal to be tested, and extracting the online unit features of the ubiquitous signal to be tested.

[0024] Step S104 : Matching the online unit characteristics of the ubiquitous signal to be measured with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

[0025] In this method, firstly, the ubiquitous signal data of the target area to be spatially positioned is collected, and a ubiquitous signal fingerprint database for the target area is constructed; the ubiquitous signal fingerprint database contains the ubiquitous signal data of all floors and room areas of the target area. Then, the regional unit features of the ubiquitous signal fingerprint database are extracted, the ubiquitous signal data of each regional unit in the target area are clearly divided, and a spatial feature element database of different regional units is constructed according to the extraction results. The ubiquitous signal to be tested is collected in real time, and the online unit features of the ubiquitous signal to be tested are extracted. The online unit features of the ubiquitous signal to be tested are compared and matched with the regional unit features in the above-mentioned spatial feature element database to obtain the regional information of the location of the ubiquitous signal to be tested, so as to achieve the effect of spatial positioning. Since a more detailed regional unit division is performed for the target area in the above-mentioned process, in the subsequent positioning process, the data to be tested is compared with the more accurate small area data obtained by the division, so as to prevent the positioning path from passing through the wall and being deduced to the non-positioning area, and solve the problem of poor spatial positioning effect of ubiquitous signals existing in the existing related technologies.

[0026] In some of the embodiments, ubiquitous signal data of a target area is collected, and a ubiquitous signal fingerprint database is constructed based on the ubiquitous signal data, including: obtaining a signal strength measurement value vector of a fingerprint ubiquitous signal of the target area; the signal strength measurement value vector is used to characterize the ubiquitous signal data of the target area; and the ubiquitous signal data of the target area is classified according to the floors of the target area to construct a corresponding ubiquitous signal fingerprint database.

[0027] Exemplarily, the fingerprint ubiquitous signal received signal strength measurement value vector It is expressed as follows:

[0028] in,{ , n = 1, ..., A , m = 1, ..., R} is from n Ubiquitous signal base station The fingerprint ubiquitous signal received signal strength measurement value averaged by the mobile device in a sampling period Location collection; pIndicates n Ubiquitous signal base station The receiving time of Position from n Ubiquitous signal base station The received A fingerprint ubiquitous signal received signal strength measurement value; A represents the total number of ubiquitous signal base stations AP, R represents the total number of mobile fingerprint collection reference points RP, m represents the serial number of the mobile fingerprint collection reference point; T Represents the transpose of the matrix. The fingerprints collected by mobile on the same floor are stored in a ubiquitous signal fingerprint database named after the floor. In, it is expressed as follows:

[0029] in,{ , m = 1, ..., R} is a sampling period. Location Collection p The average heading value of the sample, { , m = 1, ..., R} yes The coordinates of the location.

[0030] In some of the embodiments, regional unit features of a ubiquitous signal database are extracted, and a spatial feature element database is constructed based on the regional unit features, including: determining a ubiquitous signal vector for each unit link; each unit link includes a number of mobile collection fingerprints within its range; based on the ubiquitous signal vector of the unit link, determining the room features of each room in the target area; based on the room features of all rooms in the target area, determining the floor features of each floor in the target area, and constructing a corresponding floor feature database; each floor includes a number of rooms.

[0031] Specifically, based on the ubiquitous signal vector of the unit link, the room characteristics of each room in the target area are determined, including: based on the ubiquitous signal vector of the unit link, setting the judgment condition of the segmentation point set; according to the judgment condition of the segmentation point set, dividing the mobile collected fingerprints on the same floor in the target area into a room feature set; the room feature set includes several room features.

[0032] More specifically, based on the ubiquitous signal vector of the unit link, the judgment conditions of the segmentation point set are set, including: determining the position coordinates of the location of the ubiquitous signal vector of the unit link; the position coordinates include east coordinates and north coordinates; based on the ubiquitous signal vector and position coordinates of the unit link, determining the judgment conditions of the segmentation point set.

[0033] For example, unit feature extraction is to combine similar mobile fingerprint information fragments into one unit. n There are i Mobile collection fingerprints, each mobile collection fingerprint contains AP, then the ubiquitous signal vector of this unit link can be expressed as:

[0034]

[0035] in, is the AP measurement value of the nth unit link mobile fingerprint recognition vector the border.

[0036] In the closed loop case, assuming that n The unit feature set generated by the measurement path of each floor is The judgment conditions for the split point set are as follows:

[0037] in,( x , y ) are the easting and northing coordinates of the unit feature fingerprint. s and e is the starting unit and the ending unit of the room fingerprint recognition path. Find the segmentation point set Finally, the same floor fingerprints are divided into room-level feature sets. i The room characteristics can be expressed as:

[0038] in, and are the starting and ending points of the fingerprint recognition path of this room; yes and Each fingerprint feature set between; Function representation:

[0039] In floor recognition, it is necessary to establish a database that can reflect the fingerprint space characteristics of the entire floor. This process provides a data basis for floor recognition. i Room Features After the room, assuming f Room feature set for the layer . Floor feature information The floors can be represented as:

[0040] in, Represents the floor characteristics, Represents room characteristics, Represents a set of room features.

[0041] In some of the embodiments, online unit characteristics of the ubiquitous signal to be tested are matched with regional unit characteristics of the ubiquitous signal database to determine regional information of the location of the ubiquitous signal to be tested, including: determining the floor positioning result and the regional positioning result of the ubiquitous signal to be tested based on the online unit characteristics of the ubiquitous signal to be tested and the regional unit characteristics of the ubiquitous signal database; combining the similarity of the floor positioning result and the regional positioning result to obtain the regional information of the location of the ubiquitous signal to be tested.

[0042] Specifically, based on the online unit characteristics of the ubiquitous signal to be tested and the regional unit characteristics of the ubiquitous signal database, the floor positioning result and the regional positioning result of the ubiquitous signal to be tested are determined, including: obtaining the online ubiquitous signal vector of the ubiquitous signal to be tested; the online ubiquitous signal vector is used to characterize the online unit characteristics of the ubiquitous signal to be tested; performing a similarity comparison between the online ubiquitous signal vector and the floor feature vector of the floor feature to determine the floor positioning result of the ubiquitous signal to be tested; performing a similarity comparison between the online ubiquitous signal vector and the room feature vector of the room feature to determine the regional positioning result of the ubiquitous signal to be tested.

[0043] For example, to obtain the floor positioning result, it is assumed that the online ubiquitous signal vector is , the floor feature vector is , support set It is expressed as:

[0044] in, k yes and The dimension of the intersection. The floor detection problem can be expressed as:

[0045] in, is the online ubiquitous signal vector With floor feature vector The AP similarity coefficient between . The AP similarity coefficient is based on the Jaccard similarity coefficient and is expressed as:

[0046] in, is the floor-level detection threshold of the ubiquitous signal positioning base station AP, which can be obtained through experiments. The floor that meets the above conditions is the floor positioning result.

[0047] To obtain the regional positioning result, it is assumed that the online ubiquitous signal vector and a room feature vector , the region recognition problem can be expressed as:

[0048] in, is the fingerprint recognition vector The norm of . and It is the ubiquitous signal positioning base station AP and the ubiquitous signal received signal strength measurement value room level detection threshold obtained from the experiment. Finally, the online ubiquitous signal vector and the room feature vector of the room feature are compared for similarity to determine the regional positioning result of the ubiquitous signal to be tested and identify the positioning area.

[0049] The present invention also provides a ubiquitous signal space region identification device. The ubiquitous signal space region identification device provided by the present invention is described below. The ubiquitous signal space region identification device described below and the ubiquitous signal space region identification method described above can be referenced to each other. Figure 2 is a structural block diagram of the ubiquitous signal space region identification device provided by the present invention, such as Figure 2 As shown, the device comprises: The acquisition module 201 is used to acquire ubiquitous signal data of the target area and build a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is acquired by a pre-arranged ubiquitous signal base station; An extraction module 202 is used to extract regional unit features of the ubiquitous signal database and construct a spatial feature element database based on the regional unit features; The acquisition module 203 is used to collect the ubiquitous signal to be measured and extract the online unit characteristics of the ubiquitous signal to be measured; The positioning module 204 is used to match the online unit characteristics of the ubiquitous signal to be measured with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

[0050] When the device is in use, first, the acquisition module 201 acquires the ubiquitous signal data of the target area that needs to be spatially positioned, and constructs a ubiquitous signal fingerprint database for the target area; the ubiquitous signal fingerprint database contains the ubiquitous signal data of all floors and room areas in the target area. Then, the extraction module 202 extracts the regional unit features of the ubiquitous signal fingerprint database, clearly divides the ubiquitous signal data of each regional unit in the target area, and constructs a spatial feature element database of different regional units based on the extraction results. The acquisition module 203 acquires the ubiquitous signal to be tested in real time and extracts the online unit features of the ubiquitous signal to be tested. The positioning module 204 compares and matches the online unit features of the ubiquitous signal to be tested with the regional unit features in the above-mentioned spatial feature element database to obtain the regional information of the location of the ubiquitous signal to be tested, thereby achieving the effect of spatial positioning. Since a more detailed regional unit division is performed for the target area in the above process, in the subsequent positioning process, the data to be tested is compared with the more accurate small area data obtained by the division, so as to prevent the positioning path from passing through the wall and being deduced to the non-positioning area, thereby solving the problem of poor ubiquitous signal spatial positioning effect existing in the existing related technologies. Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device may include: a processor 301, a communication interface 302, a memory 303 and a communication bus 304, wherein the processor 301, the communication interface 302, and the memory 303 communicate with each other through the communication bus 304. The processor 301 may call the logic instructions in the memory 303 to execute the ubiquitous signal space region identification method, which includes: Collect ubiquitous signal data in the target area and build a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is collected by pre-deployed ubiquitous signal base stations; Extract regional unit features of the ubiquitous signal database, and build a spatial feature element database based on the regional unit features; Collecting the ubiquitous signal to be tested, and extracting the online unit characteristics of the ubiquitous signal to be tested; The online unit characteristics of the ubiquitous signal to be measured are matched with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

[0051] In addition, the logic instructions in the above-mentioned memory 303 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0052] On the other hand, the present invention further provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute the ubiquitous signal space region identification method provided by the above methods, the method includes: Collect ubiquitous signal data in the target area and build a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is collected by pre-deployed ubiquitous signal base stations; Extract regional unit features of the ubiquitous signal database, and build a spatial feature element database based on the regional unit features; Collecting the ubiquitous signal to be tested, and extracting the online unit characteristics of the ubiquitous signal to be tested; The online unit characteristics of the ubiquitous signal to be measured are matched with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

[0053] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the ubiquitous signal space region identification method provided by the above methods, the method comprising: Collect ubiquitous signal data in the target area and build a ubiquitous signal fingerprint database based on the ubiquitous signal data; the ubiquitous signal data is collected by pre-deployed ubiquitous signal base stations; Extract regional unit features of the ubiquitous signal database, and build a spatial feature element database based on the regional unit features; Collecting the ubiquitous signal to be tested, and extracting the online unit characteristics of the ubiquitous signal to be tested; The online unit characteristics of the ubiquitous signal to be measured are matched with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

[0054] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0055] Through the description of the above implementation modes, those skilled in the art can clearly understand that each implementation mode can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A ubiquitous signal space region identification method, characterized in that: include: Collecting ubiquitous signal data of a target area, and building a ubiquitous signal fingerprint database based on the ubiquitous signal data; The ubiquitous signal data is collected by a pre-arranged ubiquitous signal base station; Extracting regional unit features of the ubiquitous signal database, and constructing a spatial feature element database based on the regional unit features; Collecting a ubiquitous signal to be measured, and extracting online unit features of the ubiquitous signal to be measured; The online unit feature of the ubiquitous signal to be tested is matched with the regional unit feature of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be tested.

2. The ubiquitous signal space region identification method according to claim 1, characterized in that: Collecting ubiquitous signal data of a target area and building a ubiquitous signal fingerprint database based on the ubiquitous signal data includes: Acquire a signal strength measurement value vector of the fingerprint ubiquitous signal of the target area; the signal strength measurement value vector is used to characterize the ubiquitous signal data of the target area; The ubiquitous signal data of the target area is classified according to the floors of the target area, and a corresponding ubiquitous signal fingerprint database is constructed.

3. The ubiquitous signal space region identification method according to claim 1, characterized in that: Extracting regional unit features of the ubiquitous signal database and constructing a spatial feature element database based on the regional unit features, including: Determine the ubiquitous signal vector of each unit link; each unit link contains a number of mobile collection fingerprints within its range; Determining room characteristics of each room in the target area based on the ubiquitous signal vector of the unit link; Based on the room features of all the rooms in the target area, the floor features of each floor in the target area are determined, and a corresponding floor feature database is constructed; each floor includes a number of rooms.

4. The ubiquitous signal space region identification method according to claim 3, characterized in that: Determining room features of each room in the target area based on the ubiquitous signal vector of the unit link includes: Based on the ubiquitous signal vector of the unit link, setting a judgment condition of a segmentation point set; According to the judgment condition of the segmentation point set, the mobile collected fingerprints on the same floor in the target area are divided into a room feature set; the room feature set includes a plurality of room features.

5. The ubiquitous signal space region identification method according to claim 4, characterized in that: Based on the ubiquitous signal vector of the unit link, a judgment condition of a segmentation point set is set, including: Determine the position coordinates of the ubiquitous signal vector of the unit link; the position coordinates include east coordinates and north coordinates; Based on the ubiquitous signal vector of the unit link and the position coordinates, a judgment condition of the segmentation point set is determined.

6. The ubiquitous signal space region identification method according to claim 3, characterized in that: Matching the online unit feature of the ubiquitous signal to be tested with the regional unit feature of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be tested, including: Determine a floor positioning result and a regional positioning result of the ubiquitous signal to be tested based on the online unit characteristics of the ubiquitous signal to be tested and the regional unit characteristics of the ubiquitous signal database; By combining the similarity between the floor positioning result and the area positioning result, the area information of the location of the ubiquitous signal to be detected is obtained.

7. The ubiquitous signal space region identification method according to claim 6, characterized in that: Determining a floor positioning result and a regional positioning result of the ubiquitous signal to be tested based on the online unit characteristics of the ubiquitous signal to be tested and the regional unit characteristics of the ubiquitous signal database includes: Acquire an online ubiquitous signal vector of the ubiquitous signal to be measured; the online ubiquitous signal vector is used to characterize the online unit characteristics of the ubiquitous signal to be measured; Performing a similarity comparison between the online ubiquitous signal vector and the floor feature vector of the floor feature to determine the floor positioning result of the ubiquitous signal to be tested; A similarity comparison is performed between the online ubiquitous signal vector and the room feature vector of the room feature to determine a region positioning result of the ubiquitous signal to be tested.

8. A ubiquitous signal space region identification device, characterized in that: include: An acquisition module, used for acquiring ubiquitous signal data of a target area, and building a ubiquitous signal fingerprint database based on the ubiquitous signal data; The ubiquitous signal data is collected by a pre-arranged ubiquitous signal base station; An extraction module, used to extract regional unit features of the ubiquitous signal database, and construct a spatial feature element database based on the regional unit features; An acquisition module, used for collecting the ubiquitous signal to be measured and extracting the online unit characteristics of the ubiquitous signal to be measured; The positioning module is used to match the online unit characteristics of the ubiquitous signal to be measured with the regional unit characteristics of the ubiquitous signal database to determine the regional information of the location of the ubiquitous signal to be measured.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the ubiquitous signal space region identification method as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the ubiquitous signal space region identification method according to any one of claims 1 to 7 is implemented.

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