CN117098227B - Method, device, equipment and storage medium for determining position information - Google Patents
Method, device, equipment and storage medium for determining position information Download PDFInfo
- Publication number
- CN117098227B CN117098227B CN202311364097.XA CN202311364097A CN117098227B CN 117098227 B CN117098227 B CN 117098227B CN 202311364097 A CN202311364097 A CN 202311364097A CN 117098227 B CN117098227 B CN 117098227B
- Authority
- CN
- China
- Prior art keywords
- information
- base station
- road network
- coverage area
- mobile terminal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000007499 fusion processing Methods 0.000 claims description 14
- 238000004422 calculation algorithm Methods 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 6
- 238000000638 solvent extraction Methods 0.000 claims 2
- 230000008569 process Effects 0.000 description 19
- 230000000875 corresponding effect Effects 0.000 description 17
- 238000012545 processing Methods 0.000 description 15
- 238000004891 communication Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 8
- 238000010586 diagram Methods 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000011664 signaling Effects 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
- 101100021559 Bacillus subtilis (strain 168) lon2 gene Proteins 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The application discloses a method, a device, equipment and a storage medium for determining position information, and belongs to the technical field of computers. The method comprises the following steps: acquiring base station industrial parameter information of a designated area and road network information of the designated area; calculating boundary information of coverage area of the base station based on the base station industrial parameter information; dividing the road network information based on a preset dividing strategy to obtain at least one road network position point; acquiring an associated position information set based on boundary information of coverage area of the base station and at least one road network position point; acquiring a time sequence number of each associated position information in the associated position information set based on the historical position information of the mobile terminal accessed to the base station, the base station switching time sequence information of the mobile terminal and the associated position information set; location information for mobile terminal positioning is determined based on the time sequence number of each associated location information and the associated location information set.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining location information.
Background
Location services, also known as location services, are a type of location-related service provided by wireless operators to users. The operator has instruction information interacted between the user terminal and the base station, and can be used for positioning the user terminal.
Currently, existing schemes for determining user terminal location information may include user location based on measurement reports (Measurement Report, MR) and user location reporting data through an intercept Application (APP). Based on the user positioning of MR, the user terminal positioning information can be determined by calculating according to the signal strength measured value returned by MR, the time stamp, the frequency and the like and combining the base station positioning information. The user positioning of the APP reported data is intercepted, the latitude and longitude data of the navigation positioning reported by the hypertext transfer protocol in the signaling data can be intercepted, and the positioning information of the user terminal is determined by combining the positioning information of the base station.
However, in the MR-based user positioning method, since more MR measurement data is required, more accurate calculation can be performed, and the MR is generated by high-frequency interaction with the base station, if the wireless network is continuously opened, a relatively large burden is imposed on the wireless network, and only short-term use can be performed. The user positioning mode for intercepting the APP reporting data firstly depends on whether the user terminal is provided with the APP capable of uploading the position information, so that the coverage area of the user is not enough, secondly, the data formats uploaded by the APPs are inconsistent, encryption uploading is possible, decryption is needed, and the data processing process is complex.
Disclosure of Invention
The application provides a method, a device, equipment and a storage medium for determining position information, which can solve the problem of poor accuracy of a positioning result of the position information, and the technical scheme is as follows:
in a first aspect, a method for determining location information is provided, the method comprising:
acquiring base station industrial parameter information of a designated area and road network information of the designated area;
calculating boundary information of coverage area of the base station based on the base station industrial parameter information;
dividing the road network information based on a preset dividing strategy to obtain at least one road network position point;
acquiring an associated position information set based on boundary information of coverage area of the base station and at least one road network position point;
acquiring a time sequence number of each associated position information in the associated position information set based on the historical position information of the mobile terminal accessed to the base station, the base station switching time sequence information of the mobile terminal and the associated position information set;
and determining the position information for positioning the mobile terminal based on the time sequence number of each piece of associated position information and the associated position information set.
In one possible implementation manner, the base station parameter information includes a latitude and longitude of a base station, an azimuth angle, an antenna height, an antenna horizontal lobe angle, and an antenna vertical lobe angle, and calculating boundary information of a coverage area of the base station based on the base station parameter information includes:
calculating an initial angle and a termination angle of the horizontal coverage azimuth of the antenna based on the azimuth angle and the horizontal lobe angle of the antenna;
calculating the radius of the projection area of the coverage area of the base station based on the antenna height and the antenna vertical lobe angle;
and obtaining boundary information of coverage area of the base station based on the longitude and latitude of the base station, the starting angle, the ending angle and the radius.
In one possible implementation manner, the obtaining boundary information of the coverage area of the base station based on the longitude and latitude of the base station, the starting angle, the ending angle and the radius includes:
calculating to obtain a longitude and latitude set of a position point in the coverage area of the base station based on the longitude and latitude of the base station, the initial angle, the termination angle and the radius;
acquiring a position point longitude and latitude set of a boundary of a coverage area from the position point longitude and latitude set in the coverage area of the base station based on the starting angle and the ending angle;
And acquiring the boundary information of the coverage area of the base station based on the longitude and latitude set of the position point of the boundary of the coverage area.
In one possible implementation manner, the road network information includes at least one road in a road network, and the dividing processing is performed on the road network information based on a preset dividing policy to obtain at least one road network location point, which includes:
dividing each road in the road network according to preset intervals to obtain at least one position point of each road;
and obtaining at least one road network position point based on the at least one position point of each road.
In a possible implementation manner, the obtaining the set of associated location information based on boundary information of coverage area of the base station and at least one road network location point includes:
and obtaining a correlation position information set based on boundary information of the coverage area of the base station and at least one road network position point by using a preset position correlation algorithm.
In a possible implementation manner, the obtaining, by using a preset location association algorithm, a set of associated location information based on boundary information of coverage area of the base station and at least one road network location point includes:
Acquiring a longitude and latitude set of boundary position points in boundary information of coverage area of a base station;
determining the position relationship between the road network position and the coverage area based on the longitude and latitude of the boundary position points and each road network position point;
and obtaining an associated position information set in response to the position relation meeting a preset position association relation.
In one possible implementation manner, the determining the location information for positioning the mobile terminal based on the time sequence number of each piece of associated location information and the associated location information set includes:
carrying out fusion processing on the time sequence number of each piece of associated position information and the associated position information set;
and determining the result of the fusion processing as position information for positioning the mobile terminal.
In a second aspect, there is provided a position information determining apparatus, the apparatus comprising:
the acquisition unit is used for acquiring the base station industrial parameter information of the appointed area and the road network information of the appointed area;
a calculating unit, configured to calculate boundary information of a coverage area of a base station based on the base station parameter information;
dividing the road network information based on a preset dividing strategy to obtain at least one road network position point;
The association unit is used for obtaining an association position information set based on boundary information of the coverage area of the base station and at least one road network position point;
an obtaining unit, configured to obtain a time sequence number of each associated location information in the associated location information set based on location information of a mobile terminal accessing a history of the base station, base station switching timing information of the mobile terminal, and the associated location information set;
and the determining unit is used for determining the position information for positioning the mobile terminal based on the time sequence number of each piece of associated position information and the associated position information set.
In a third aspect, there is provided a computer readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement the method of the aspects and any one possible implementation as described above.
In a fourth aspect, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the aspects and methods of any one of the possible implementations described above.
The beneficial effects of the technical scheme that this application provided include at least:
as can be seen from the above technical solution, in the embodiment of the present application, by acquiring base station industrial parameter information of a specified area and road network information of the specified area, further, based on the base station industrial parameter information, boundary information of a coverage area of a base station is calculated, and based on a preset division policy, the road network information is divided to obtain at least one road network location point, based on the boundary information of the coverage area of the base station and at least one road network location point, an associated location information set is obtained, and based on location information of a mobile terminal accessing a history of a base station, base station switching timing information of the mobile terminal, and the associated location information set, a time sequence number of each associated location information in the associated location information set is obtained, so that location information for locating a mobile terminal can be determined based on the time sequence number of each associated location information and the associated location information set.
It should be understood that the description of this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for determining location information according to one embodiment of the present application;
fig. 2 is a block diagram of a location information determining apparatus according to still another embodiment of the present application.
Fig. 3 is a block diagram of an electronic device for implementing a method of determining location information according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It will be apparent that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that, the terminal device in the embodiment of the present application may include, but is not limited to, smart devices such as a mobile phone, a personal digital assistant (Personal Digital Assistant, PDA), a wireless handheld device, and a Tablet Computer (Tablet Computer); the display device may include, but is not limited to, a personal computer, a television, or the like having a display function.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Referring to fig. 1, a flowchart of a method for determining location information according to an embodiment of the present application is shown. The method for determining the position information specifically may include:
Step 101, acquiring base station industrial parameter information of a designated area and road network information of the designated area.
Step 102, calculating boundary information of coverage area of the base station based on the base station industrial parameter information.
Step 103, dividing the road network information based on a preset dividing strategy to obtain at least one road network position point.
Step 104, obtaining an associated position information set based on boundary information of coverage area of the base station and at least one road network position point.
Step 105, obtaining a time sequence number of each associated position information in the associated position information set based on the position information of the mobile terminal accessing the history of the base station, the base station switching time sequence information of the mobile terminal and the associated position information set.
And 106, determining the position information for positioning the mobile terminal based on the time sequence number of each piece of associated position information and the associated position information set.
The specified area may include a plurality of base stations and roads in the plurality of road network information.
It should be noted that, part or all of the execution body in steps 101 to 106 may be an application located in the local terminal, or may be a functional unit such as a plug-in unit or a software development kit (Software Development Kit, SDK) disposed in the application located in the local terminal, or may be a processing engine located in a server on the network side, or may be a distributed system located on the network side, for example, a processing engine or a distributed system in a location analysis platform on the network side, which is not limited in this embodiment.
It will be appreciated that the application may be a native program (native app) installed on the native terminal, or may also be a web page program (webApp) of a browser on the native terminal, which is not limited in this embodiment.
In this way, the boundary information of the coverage area of the base station can be calculated by acquiring the base station industrial parameter information of the designated area and the road network information of the designated area, the road network information is divided based on a preset division strategy to obtain at least one road network position point, the associated position information set is obtained based on the boundary information of the coverage area of the base station and at least one road network position point, the time sequence number of each associated position information in the associated position information set is obtained based on the position information of the mobile terminal accessed to the history of the base station, the base station switching time sequence information of the mobile terminal and the associated position information set, and the position information for positioning the mobile terminal can be determined based on the time sequence number of each associated position information and the associated position information set.
Alternatively, in one possible implementation of the present embodiment, the base station parameter information may include, but is not limited to, base station latitude and longitude, azimuth angle, antenna height, antenna horizontal lobe angle, antenna vertical lobe angle, and the like. In step 102, an initial angle and a final angle of the antenna horizontal coverage azimuth may be calculated based on the azimuth angle and the antenna horizontal lobe angle, a radius of a projected area of the base station coverage area may be calculated based on the antenna height and the antenna vertical lobe angle, and boundary information of the base station coverage area may be obtained based on the longitude and latitude of the base station, the initial angle, the final angle, and the radius.
In a specific implementation process of the implementation manner, a position point longitude and latitude set in a coverage area of a base station can be obtained through calculation based on the longitude and latitude of the base station, the starting angle, the ending angle and the radius, a position point longitude and latitude set of a coverage area boundary is obtained from the position point longitude and latitude set in the coverage area of the base station based on the starting angle and the ending angle, and boundary information of the coverage area of the base station is obtained based on the position point longitude and latitude set of the coverage area boundary.
In one case in the specific implementation process, the longitude and latitude set of the position point in the coverage area of the base station can be obtained by calculation according to the preset angle step length based on the longitude and latitude of the base station, the starting angle, the ending angle and the radius.
Specifically, the preset angle step may be 10 degrees.
Optionally, in one possible implementation manner of this embodiment, the road network information includes at least one road in the road network, in step 103, in particular, each road in the road network may be separately processed according to a preset interval to obtain at least one location point of each road, and at least one road network location point is obtained based on the at least one location point of each road.
In this implementation, the preset distance may be a distance determined based on the longitude and latitude of the location point of the road network. The preset distance may be any one of 5 meters to 10 meters, for example.
In this implementation manner, the road network information of the specific city and other areas can be collected through the road network API provided by the OpenStreetMap or the third party map service provider.
Here, the road network information includes a home city, a county region, a road name, and a latitude and longitude set. Optionally, the longitude and latitude of the position point of each road can be selected from the longitude and latitude set according to any interval between 5 meters and 10 meters, and at least one position point of each road is obtained based on the longitude and latitude of the selected position point.
It can be appreciated that the collected road network information can be stored in a preset database to construct a road network longitude and latitude database.
It should be noted that, the specific implementation process provided in the present implementation manner may be combined with the various specific implementation processes provided in the foregoing implementation manner to implement the method for determining position information in this embodiment. The detailed description may refer to the relevant content in the foregoing implementation, and will not be repeated here.
Optionally, in one possible implementation manner of this embodiment, in step 104, a set of associated location information may be obtained specifically by using a preset location association algorithm, based on boundary information of a coverage area of the base station and at least one road network location point.
In a specific implementation process of this implementation manner, first, a longitude and latitude set of a boundary position point in boundary information of a coverage area of a base station may be specifically obtained. And secondly, determining the position relationship between the road network position points and the coverage area based on the longitude and latitude of the boundary position points and each road network position point. And obtaining a correlated position information set in response to the position relation meeting a preset position correlation relation.
In this particular implementation, the road network location point includes the longitude and latitude of the location point. The boundary position point longitude and latitude set comprises the longitude and latitude of the position point on the boundary line. It will be appreciated that the base station coverage area may be sector-shaped and the boundary line may be the edge of the sector.
Here, the preset position association relationship may be that the position relationship between the road network position point and the coverage area is that the road network position point is within the coverage area.
For example, first, a combination of longitude and latitude of every two boundary position points in a longitude and latitude set of a boundary position point of a coverage area of a base station can be obtained. Secondly, the following formula (1) can be utilized to circularly calculate the longitude and latitude of the road network position point and the position relation I between the longitude and latitude of any two groups of boundary position points, so as to obtain at least one I value corresponding to the road network position point:
I= (lonC-lonB)×(latA - latB)-(lonA-lonB)×(latC-latB) （1）
wherein latA and lon A are longitude and latitude of road network position points, and latB, lonB, latC, lonC are longitude and latitude of any two boundary position points.
And thirdly, aiming at any road network position point, if one I value of the road network position point is smaller than 0, determining that the road network position point is not in the coverage area, and if the I of the road network position point and all the longitude and latitude combinations of every two boundary position points in the longitude and latitude sets of the boundary position point is larger than or equal to 0, determining that the road network position point is in the coverage area, namely, the position relationship of the road network position point and the coverage area meets the preset position association relationship.
Specifically, the position relationship between the road network position point and the coverage area of at least one base station can meet the preset position association relationship, i.e. one road network position point can have the position association relationship with a plurality of base stations.
And thirdly, the road network information of the road network position point and the base station information of the base station can be fused to obtain a correlation position information set. The set of associated location information may be, but is not limited to, a road network name, a longitude and latitude of a road network location point, associated base station information. The associated base station information may include, but is not limited to, base station number, base station latitude and longitude, distance of the base station from the road network location point.
Here, the base station that is the shortest distance from the road network location point may be further calculated based on the road network location point and the longitude and latitude of the base station. If the road network position point corresponds to a plurality of base stations, the distances between the road network position point and the corresponding plurality of base stations are calculated based on the longitude and latitude of the road network position point corresponding to the plurality of base stations, and the preset number of base stations with the shortest distance are selected according to the distance sequence. Preferably the preset number may be 3.
Therefore, the position relation between the base station and each road network position point can be determined by calculating the position relation between the longitude and latitude in the coverage area of the base station and each road network position point, so that the base station and each road network position point can be associated, a more accurate and effective associated position information set can be obtained, and the reliability of the determined position information can be improved conveniently.
It should be noted that, the specific implementation process provided in the present implementation manner may be combined with the various specific implementation processes provided in the foregoing implementation manner to implement the method for determining position information in this embodiment. The detailed description may refer to the relevant content in the foregoing implementation, and will not be repeated here.
Alternatively, in one possible implementation manner of the present embodiment, first, in step 105, based on the base station parameter information of the specified area, the location information of the mobile terminal and the base station switching timing information of the mobile terminal of the history of the access base station of the specified period of time are acquired. And secondly, based on the associated position information set, obtaining the sequence relation between the road network position points and the corresponding base stations, and performing time sequence matching processing on the position information of the mobile terminal, the base station switching time sequence information of the mobile terminal and the sequence relation between the road network position points and the corresponding base stations to obtain the time sequence number of each associated position information in the associated position information set.
In a specific implementation process of the implementation manner, after the associated position information set is obtained, base station industrial parameter information of all base stations in the associated position information set can be collected and covered for one month, and each base station is traversed to obtain position information of a mobile terminal accessing the base station and base station switching time sequence information of the mobile terminal according to the sequence corresponding to the road network position points and the base stations in the associated position information set. If the coincidence ratio of the sequence corresponding to the road network position point and the base station switching time sequence information of the mobile terminal reaches a preset threshold value, determining the effective base station time sequence and the corresponding road network position point, and obtaining the time sequence number of the associated position information of the base station and the road network position point based on the effective base station time sequence and the corresponding road network position point.
Preferably, the preset threshold may be 80% of the degree of coincidence.
Further, the road network location point may correspond to a plurality of base stations, if the sequence of the road network location point corresponding to the nearest base station and the overlap ratio of the base station switching time sequence information of the mobile terminal do not reach a preset threshold, it may be determined whether the sequence of the road network location point corresponding to the next nearest base station and the overlap ratio of the base station switching time sequence information of the mobile terminal reach the preset threshold, if yes, the valid base station time sequence and the corresponding road network location point are determined, and based on the valid base station time sequence and the corresponding road network location point, the time sequence of the association location information of the base station and the road network location point is obtained.
In this way, the relevant position information set of the base station and the road network can be optimized and screened through the coincidence condition of the sequence corresponding to the road network position point and the nearest base station and the base station switching time sequence information of the mobile terminal, so that the effective relevant position information and the time sequence number thereof can be obtained, the relevant position information with the time sequence information can be obtained later, and the reliability of the position information of the mobile terminal is further improved.
It should be noted that, the specific implementation process provided in the present implementation manner may be combined with the various specific implementation processes provided in the foregoing implementation manner to implement the method for determining position information in this embodiment. The detailed description may refer to the relevant content in the foregoing implementation, and will not be repeated here.
Optionally, in one possible implementation manner of this embodiment, in step 106, a fusion process may specifically be performed on the time sequence number of each associated location information and the associated location information set, and a result of the fusion process is determined as location information for positioning the mobile terminal.
In a specific implementation process of the implementation manner, the time sequence number of each piece of associated position information and the associated position information set can be directly fused to obtain a fusion processing result.
In an implementation, the result of the fusion process may include, but is not limited to, a base station number, a road network name, a longitude and latitude of a road network location point, a time sequence number, and the like.
It is understood that the location information may include a plurality of time sequence number based location sequences.
In another specific implementation of this implementation, the determined location information may further be stored to a location fingerprint database.
In the specific implementation process, after a positioning request based on signaling is received, a preset number of adjacent sequence base stations corresponding to the mobile terminal are obtained, the sequence of the preset number of adjacent sequence base stations is compared with the time sequence of a position sequence in a positioning fingerprint database, so that position information with the time sequence overlap ratio meeting the preset time sequence overlap ratio is obtained, and positioning information of the mobile terminal is obtained based on the longitude and latitude of road network position points in the position information.
For example, the preset number may be 10, and the preset time sequence overlap ratio may be 80%, specifically, after receiving the positioning request based on signaling, 10 base stations in adjacent sequence corresponding to the mobile terminal, that is, 10 base stations in adjacent sequence of the base stations corresponding to the mobile terminal, for example, base stations in front of and behind 5 base stations in adjacent sequence of the base stations, compare the sequence of the 10 base stations with the time sequence of the position sequence in the positioning fingerprint database, so as to obtain position information with the time sequence overlap ratio meeting 80%, and obtain the positioning information of the mobile terminal based on the longitude and latitude of the road network position point in the position information.
It should be noted that, the specific implementation process provided in the present implementation manner may be combined with the various specific implementation processes provided in the foregoing implementation manner to implement the method for determining position information in this embodiment. The detailed description may refer to the relevant content in the foregoing implementation, and will not be repeated here.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
Fig. 2 is a block diagram showing a configuration of a location information determining apparatus according to an embodiment of the present application, as shown in fig. 2. The determination apparatus 200 of the position information of the present embodiment may include an acquisition unit 201, a calculation unit 202, a division unit 203, an association unit 204, an acquisition unit 205, and a determination unit 206. The acquiring unit 201 is configured to acquire base station industrial parameter information of a specified area and road network information of the specified area; a calculating unit 202, configured to calculate boundary information of a coverage area of a base station based on the base station parameter information; the dividing unit 203 is configured to perform a dividing process on the road network information based on a preset dividing policy, so as to obtain at least one road network location point; an association unit 203, configured to obtain an association location information set based on boundary information of a coverage area of the base station and at least one road network location point; an obtaining unit 204, configured to obtain a time sequence number of each associated location information in the associated location information set based on location information of a mobile terminal accessing a history of base stations, base station handover timing information of the mobile terminal, and the associated location information set; a determining unit 205, configured to determine location information for locating the mobile terminal based on the time sequence number of each associated location information and the associated location information set.
It should be noted that, part or all of the location information determining apparatus in this embodiment may be an application located at the local terminal, or may be a functional unit such as a plug-in unit or a software development kit (Software Development Kit, SDK) provided in the application located at the local terminal, or may be a processing engine located in a server on the network side, or may be a distributed system located on the network side, for example, a processing engine or a distributed system in a location analysis platform on the network side, which is not limited in this embodiment.
It will be appreciated that the application may be a native program (native app) installed on the native terminal, or may also be a web page program (webApp) of a browser on the native terminal, which is not limited in this embodiment.
Optionally, in one possible implementation manner of this embodiment, the base station parameter information includes a latitude and longitude of a base station, an azimuth angle, an antenna height, an antenna horizontal lobe angle, and an antenna vertical lobe angle, and the calculating unit 202 may be configured to calculate, based on the azimuth angle and the antenna horizontal lobe angle, a start angle and a stop angle of an antenna horizontal coverage azimuth angle; calculating the radius of the projection area of the coverage area of the base station based on the antenna height and the antenna vertical lobe angle; and obtaining boundary information of coverage area of the base station based on the longitude and latitude of the base station, the starting angle, the ending angle and the radius.
Optionally, in one possible implementation manner of this embodiment, the calculating unit 202 may be configured to calculate, based on the base station longitude and latitude, the starting angle, the ending angle, and the radius, a set of longitude and latitude of a location point within a coverage area of a base station, obtain, based on the starting angle and the ending angle, a set of longitude and latitude of a location point of a boundary of the coverage area from the set of longitude and latitude of the location point within the coverage area of the base station, and obtain, based on the set of longitude and latitude of the location point of the boundary of the coverage area, boundary information of the coverage area of the base station.
Optionally, in one possible implementation manner of this embodiment, the road network information includes at least one road in the road network, and the dividing unit 203 may specifically perform a dividing process on each road in the road network according to a preset interval, so as to obtain at least one road network location point of each road; and obtaining at least one road network position point based on the at least one road network position point of each road.
Alternatively, in one possible implementation manner of this embodiment, the association unit 204 may specifically obtain the set of associated location information based on the boundary information of the coverage area of the base station and at least one road network location point by using a preset location association algorithm.
Optionally, in one possible implementation manner of this embodiment, the association unit 204 may specifically obtain a longitude and latitude set of a boundary position point in boundary information of a coverage area of a base station, and determine a position relationship between a road network position and the coverage area based on the longitude and latitude of each boundary position point and each road network position point;
and obtaining an associated position information set in response to the position relation meeting a preset position association relation.
Alternatively, in one possible implementation manner of this embodiment, the determining unit 206 may specifically perform fusion processing on the time sequence number of each associated location information and the associated location information set; and determining the result of the fusion processing as position information for positioning the mobile terminal.
In this embodiment, the acquiring unit may acquire the base station industrial parameter information of the specified area and the road network information of the specified area, and further the calculating unit may calculate the boundary information of the coverage area of the base station based on the base station industrial parameter information, the dividing unit may perform dividing processing on the road network information based on a preset dividing policy to obtain at least one road network location point, the associating unit may acquire the associated location information set based on the boundary information of the coverage area of the base station and at least one road network location point, and the acquiring unit may acquire the time sequence number of each associated location information in the associated location information set based on the location information of the mobile terminal, the base station switching timing information of the mobile terminal, and the associated location information set, so that the determining unit may determine the location information for locating the mobile terminal based on the time sequence number of each associated location information and the associated location information set.
In the technical scheme of the application, related personal information of the user, such as collection, storage, use, processing, transmission, provision, disclosure and other processes of images, attribute data and the like of the user, accords with the regulations of related laws and regulations and does not violate the popular regulations.
According to embodiments of the present application, there is also provided an electronic device, a readable storage medium and a computer program product.
Fig. 3 shows a schematic block diagram of an example electronic device 300 that may be used to implement embodiments of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 3, the electronic device 300 includes a computing unit 301 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 302 or a computer program loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data required for the operation of the electronic device 300 may also be stored. The computing unit 301, the ROM 302, and the RAM 303 are connected to each other by a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in the electronic device 300 are connected to the I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, etc.; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, an optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the electronic device 300 to exchange information/data with other devices through a computer network such as the internet and/or various telecommunication networks.
The computing unit 301 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 301 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 301 performs the respective methods and processes described above, for example, a determination method of position information. For example, in some embodiments, the method of determining location information may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 308. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 300 via the ROM 302 and/or the communication unit 309. When the computer program is loaded into the RAM 303 and executed by the computing unit 301, one or more steps of the above-described determination method of position information may be performed. Alternatively, in other embodiments, the computing unit 301 may be configured to perform the method of determining the location information in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present application may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this application, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application are achieved, and are not limited herein.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (9)
1. A method of determining location information, the method comprising:
acquiring base station industrial parameter information of a designated area and road network information of the designated area;
calculating boundary information of coverage area of the base station based on the base station industrial parameter information;
dividing at least one road of the road network in the road network information based on a preset dividing strategy to obtain at least one road network position point;
Acquiring an associated position information set based on boundary information of coverage area of the base station and at least one road network position point;
determining whether the coincidence ratio of the sequence corresponding to the road network position point and the base station switching time sequence information of the mobile terminal reaches a preset threshold value or not based on the historical position information of the mobile terminal accessed to the base station, the historical base station switching time sequence information of the mobile terminal and the associated position information set; acquiring a time sequence number of each associated position information in the associated position information set in response to the sequence corresponding to the road network position points and the base stations and the coincidence degree of base station switching time sequence information of the mobile terminal reaching a preset threshold;
determining position information for positioning the mobile terminal based on the time sequence number of each piece of associated position information and the associated position information set; wherein,
the determining the location information for locating the mobile terminal based on the time sequence number of each associated location information and the associated location information set comprises the following steps:
carrying out fusion processing on the time sequence number of each piece of associated position information and the associated position information set;
and determining the result of the fusion processing as position information for positioning the mobile terminal, wherein the result of the fusion processing comprises a base station number, a road network name, a longitude and latitude of a road network position point and a time sequence number.
2. The method of claim 1, wherein the base station parameter information comprises base station latitude and longitude, azimuth angle, antenna height, antenna horizontal lobe angle, antenna vertical lobe angle, and wherein calculating boundary information of coverage area of a base station based on the base station parameter information comprises:
calculating an initial angle and a termination angle of the horizontal coverage azimuth of the antenna based on the azimuth angle and the horizontal lobe angle of the antenna;
calculating the radius of the projection area of the coverage area of the base station based on the antenna height and the antenna vertical lobe angle;
and obtaining boundary information of coverage area of the base station based on the longitude and latitude of the base station, the initial angle, the termination angle and the radius.
3. The method of claim 2, wherein the obtaining boundary information of the coverage area of the base station based on the latitude and longitude of the base station, the start angle, the end angle, and the radius comprises:
calculating to obtain a longitude and latitude set of a position point in the coverage area of the base station based on the longitude and latitude of the base station, the initial angle, the termination angle and the radius;
acquiring a position point longitude and latitude set of a boundary of a coverage area from the position point longitude and latitude set in the coverage area of the base station based on the starting angle and the ending angle;
And acquiring the boundary information of the coverage area of the base station based on the longitude and latitude set of the position point of the boundary of the coverage area.
4. The method of claim 1, wherein partitioning the road network information based on a preset partitioning policy to obtain at least one road network location point comprises:
dividing each road in the road network according to preset intervals to obtain at least one position point of each road;
and obtaining at least one road network position point based on the at least one position point of each road.
5. The method of claim 1, wherein the obtaining the set of associated location information based on boundary information of coverage of the base station and at least one of the road network location points comprises:
and obtaining a correlation position information set based on boundary information of the coverage area of the base station and at least one road network position point by using a preset position correlation algorithm.
6. The method of claim 5, wherein the obtaining, using a preset location association algorithm, a set of associated location information based on boundary information of coverage of the base station and at least one of the road network location points, comprises:
Acquiring a longitude and latitude set of boundary position points in boundary information of coverage area of a base station;
determining the position relationship between the road network position and the coverage area based on the longitude and latitude of the boundary position points and each road network position point;
and obtaining an associated position information set in response to the position relation meeting a preset position association relation.
7. A position information determining apparatus, characterized in that the apparatus comprises:
the acquisition unit is used for acquiring the base station industrial parameter information of the appointed area and the road network information of the appointed area;
a calculating unit, configured to calculate boundary information of a coverage area of a base station based on the base station parameter information;
the dividing unit is used for dividing at least one road of the road network in the road network information based on a preset dividing strategy so as to obtain at least one road network position point;
the association unit is used for obtaining an association position information set based on boundary information of the coverage area of the base station and at least one road network position point;
an obtaining unit, configured to determine, based on location information of a historical mobile terminal accessing the base station, base station switching timing information of the historical mobile terminal, and the associated location information set, whether a sequence corresponding to a road network location point and a base station and a coincidence ratio of the base station switching timing information of the mobile terminal reach a preset threshold; acquiring a time sequence number of each associated position information in the associated position information set in response to the sequence corresponding to the road network position points and the base stations and the coincidence degree of base station switching time sequence information of the mobile terminal reaching a preset threshold;
A determining unit, configured to determine location information for locating a mobile terminal based on a time sequence number of each associated location information and the associated location information set;
the determining unit is further used for carrying out fusion processing on the time sequence number of each piece of associated position information and the associated position information set; and determining the result of the fusion processing as position information for positioning the mobile terminal, wherein the result of the fusion processing comprises a base station number, a road network name, a longitude and latitude of a road network position point and a time sequence number.
8. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
9. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311364097.XA CN117098227B (en) | 2023-10-20 | 2023-10-20 | Method, device, equipment and storage medium for determining position information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311364097.XA CN117098227B (en) | 2023-10-20 | 2023-10-20 | Method, device, equipment and storage medium for determining position information |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117098227A CN117098227A (en) | 2023-11-21 |
| CN117098227B true CN117098227B (en) | 2024-04-05 |
Family
ID=88772030
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311364097.XA Active CN117098227B (en) | 2023-10-20 | 2023-10-20 | Method, device, equipment and storage medium for determining position information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117098227B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117615363B (en) * | 2024-01-18 | 2024-05-10 | 北京大也智慧数据科技服务有限公司 | Method, device and equipment for analyzing personnel in target vehicle based on signaling data |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111044056A (en) * | 2018-10-15 | 2020-04-21 | 华为技术有限公司 | Positioning method based on road matching, chip subsystem and electronic equipment |
| WO2020134782A1 (en) * | 2018-12-25 | 2020-07-02 | 中兴通讯股份有限公司 | Lte signal-based positioning method and device, and readable storage medium |
| CN111787488A (en) * | 2020-06-29 | 2020-10-16 | 北京东方国信科技股份有限公司 | User positioning method and system |
| CN111901750A (en) * | 2020-09-11 | 2020-11-06 | 中国联合网络通信集团有限公司 | Positioning method, positioning device, electronic equipment and storage medium |
| CN112689301A (en) * | 2019-10-17 | 2021-04-20 | 中国移动通信集团陕西有限公司 | Switching sequence identification method and device of road scene and computing equipment |
-
2023
- 2023-10-20 CN CN202311364097.XA patent/CN117098227B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111044056A (en) * | 2018-10-15 | 2020-04-21 | 华为技术有限公司 | Positioning method based on road matching, chip subsystem and electronic equipment |
| WO2020134782A1 (en) * | 2018-12-25 | 2020-07-02 | 中兴通讯股份有限公司 | Lte signal-based positioning method and device, and readable storage medium |
| CN112689301A (en) * | 2019-10-17 | 2021-04-20 | 中国移动通信集团陕西有限公司 | Switching sequence identification method and device of road scene and computing equipment |
| CN111787488A (en) * | 2020-06-29 | 2020-10-16 | 北京东方国信科技股份有限公司 | User positioning method and system |
| CN111901750A (en) * | 2020-09-11 | 2020-11-06 | 中国联合网络通信集团有限公司 | Positioning method, positioning device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117098227A (en) | 2023-11-21 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107333232B (en) | Terminal positioning method and network equipment | |
| CN117098227B (en) | Method, device, equipment and storage medium for determining position information | |
| US11512970B2 (en) | Method and apparatus for generating information | |
| JP5388221B2 (en) | Estimating whether a wireless terminal is indoors using pattern classification | |
| CN107172209B (en) | Information pushing method and device | |
| CN109522895B (en) | Method, device, server and computer readable medium for verifying point of interest (POI) | |
| WO2015179704A2 (en) | Positioning using non-line-of-sight signals | |
| CN104335064A (en) | Improved trilateration processing | |
| CN107430631B (en) | Determining semantic place names from location reports | |
| CN108450060A (en) | Localization method, equipment based on WI-FI access points | |
| US10687230B2 (en) | Adjusting cell site parameters using a mapping tool | |
| CN108770057B (en) | Method for determining predetermined fingerprint database, method and device for positioning fingerprint, and storage medium | |
| JP2019135817A (en) | Information processing device and program | |
| CN109211250B (en) | Method and device for automatically converting electronic map coordinates of mobile terminal | |
| US11140652B2 (en) | Data processing method and apparatus | |
| CN109302706B (en) | Pseudo base station positioning method and device and computer readable storage medium | |
| CN107949019B (en) | Load balancing method of wireless access point | |
| CN112153568B (en) | Wi-Fi identification and binding method, device and equipment based on service scene | |
| CN110446256B (en) | Method and equipment for realizing positioning of base station based on ultra wide band | |
| CN108882165B (en) | Navigation method and device | |
| CN110309244B (en) | Target point positioning method and device | |
| CN112948517B (en) | Regional position calibration method and device and electronic equipment | |
| CN114125813B (en) | Signal coverage range determining method based on mobile phone signaling and related device | |
| CN110290521A (en) | Geographical location tamper Detection method, apparatus, medium and electronic equipment | |
| CN117615363B (en) | Method, device and equipment for analyzing personnel in target vehicle based on signaling data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |