CN117235057A - Method, device, equipment and medium for reducing LBS positioning track point drift - Google Patents
Method, device, equipment and medium for reducing LBS positioning track point drift Download PDFInfo
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Abstract
The application relates to a method, a device, equipment and a medium for reducing LBS positioning track point drift, wherein the method comprises the following steps: collecting position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library; acquiring longitude and latitude information of corresponding first position data returned by the inspection library; calculating and checking the longitude and latitude information to obtain a check value; uploading the first location data to an LBS database of the server; acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data; carrying out result calculation on the query data to obtain a result value; comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface. According to the application, by constructing the calculation checking mechanism, the data quality of the LBS database is improved, errors and expired data can be effectively cleared, the accuracy of a positioning result is improved, and the customer complaint rate is reduced.
Description
Technical Field
The application relates to the technical field of LBS (location based service) positioning track point drift, in particular to a method, a device, equipment and a medium for reducing the LBS positioning track point drift.
Background
LBS (Location Based Service ) positioning refers to a service based on location information that provides related location services by matching the user's device location information with geographic data using a global positioning system or other positioning technology. LBS location may be used for various applications such as navigation, mapping, location sharing, perimeter searching, location recommendation, etc. The principle of LBS location is to determine the exact location of a device by receiving a location signal of the device and matching and processing it with map data. This may be achieved by different positioning technologies such as GPS satellites, base station signals, wi-Fi hotspots, etc. Once the location of the device is determined, the LBS platform may provide corresponding services and functions such as displaying a map, navigating a route, searching for nearby stores or services, etc.
The accuracy of LBS location depends on the location technique used and the environmental conditions. In open areas, the use of GPS positioning can generally provide higher accuracy. However, in environments such as tall buildings or dense cities, signals may be obscured and disturbed, resulting in deviations or inaccuracies in positioning. To improve the accuracy of positioning, LBS platforms typically use positioning correction algorithms and techniques, such as map matching, to correct and correct the positioning data. However, due to unreliable factors such as mobile base stations, mobile MACs, false MACs and the like in a real environment, some errors, expired data and the like exist in the constructed LBS library, so that a certain error may exist in a positioning result, and the complaint rate is high.
Disclosure of Invention
The application aims to overcome the defects of the prior art and provide a method, a device, equipment and a medium for reducing LBS positioning track point drift.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present embodiment provides a method for reducing LBS location tracking point drift, including the following steps:
collecting position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library;
acquiring longitude and latitude information of corresponding first position data returned by the inspection library;
calculating and checking the longitude and latitude information to obtain a check value;
uploading the first location data to an LBS database of the server;
acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data;
carrying out result calculation on the query data to obtain a result value;
comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
The further technical scheme is as follows: in the step of collecting the position data of the equipment end, namely the first position data, uploading the first position data to a server to form a checking library, the server extracts the base station and longitude and latitude information in the first position data to store to form the checking library, and in addition, the position data of the equipment end, namely the second position data, is obtained from a third party, and the server extracts the longitude and latitude information in the second position data to store to form an LBS database.
The further technical scheme is as follows: and in the step of calculating and checking the longitude and latitude information to obtain a check value, grouping the longitude and latitude information by taking the similarity as a dimension, extracting a group with the most data in a plurality of groups, and carrying out weighted average operation on the data in the group in combination with the signal intensity to obtain the check value.
The further technical scheme is as follows: the step of comparing the result value with the check value further includes: if the difference value of the two is outside the set threshold value, deleting the longitude and latitude information corresponding to the first position data returned by the server, clearing the checking value corresponding to the longitude and latitude information in the LBS database, acquiring the longitude and latitude data of the equipment end through an LBS manufacturer of a third party, and refreshing and storing the longitude and latitude data to the LBS database.
In a second aspect, the present embodiment provides an apparatus for reducing LBS location tracking point drift, including: the device comprises an acquisition uploading unit, a first acquisition unit, a first calculation unit, an uploading unit, a second acquisition unit, a second calculation unit and a comparison unit;
the collecting and uploading unit is used for collecting position data of the equipment end, namely first position data, and uploading the first position data to the server to form a checking library;
the first acquisition unit is used for acquiring longitude and latitude information of the corresponding first position data returned by the inspection library;
the first calculation unit is used for calculating and checking the longitude and latitude information to obtain a check value;
the uploading unit is used for uploading the first position data to an LBS database of the server;
the second obtaining unit is configured to obtain latitude and longitude information corresponding to the first position data queried by the LBS database, i.e. query data;
the second calculation unit is used for carrying out result calculation on the query data to obtain a result value;
the comparison unit is used for comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
The further technical scheme is as follows: in the acquisition uploading unit, a server extracts and stores the base station and longitude and latitude information in the first position data to form a checking library, and in addition, the server acquires the position data of the equipment end, namely second position data, from a third party and extracts and stores the longitude and latitude information in the second position data to form an LBS database.
The further technical scheme is as follows: and in the first calculation unit, the longitude and latitude information is grouped by taking the similarity as a dimension, one group with the most data in the groups is extracted, and the data in the group is combined with the signal intensity to carry out weighted average operation so as to obtain a check value.
The further technical scheme is as follows: the comparison unit further comprises: if the difference value of the two is outside the set threshold value, deleting the longitude and latitude information corresponding to the first position data returned by the server, clearing the checking value corresponding to the longitude and latitude information in the LBS database, acquiring the longitude and latitude data of the equipment end through an LBS manufacturer of a third party, and refreshing and storing the longitude and latitude data to the LBS database.
In a third aspect, the present embodiment provides a computer device, where the computer device includes a memory and a processor, where the memory stores a computer program, and where the processor implements a method for reducing LBS location trajectory point drift as described above when the processor executes the computer program.
In a fourth aspect, the present embodiment provides a storage medium storing a computer program comprising program instructions which, when executed by a processor, implement a method of reducing LBS location trace point drift as described above.
Compared with the prior art, the application has the beneficial effects that: acquiring position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library; acquiring longitude and latitude information of corresponding first position data returned by the inspection library; calculating and checking the longitude and latitude information to obtain a check value; uploading the first location data to an LBS database of the server; acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data; carrying out result calculation on the query data to obtain a result value; comparing the result value with the check value; if the difference value of the two is within the set threshold value, displaying the result value in an interface; namely, by constructing a calculation checking mechanism, the data quality of the LBS database is improved, errors and outdated data can be effectively cleared, the accuracy of a positioning result is improved, and the customer complaint rate is reduced.
The application is further described below with reference to the drawings and specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it being 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 flowchart illustrating a method for reducing LBS positioning track point drift according to an embodiment of the present application;
FIG. 2 is a schematic block diagram of an apparatus for reducing LBS positioning track point drift provided by an embodiment of the present application;
fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to the embodiment shown in fig. 1, the application discloses a method for reducing the drift of an LBS location tracking point, comprising the following steps:
s1, acquiring position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library;
specifically, the device side refers to a tracker type device, and position data is obtained by collecting information of a base station or WIFI.
In an embodiment, the collecting the position data of the device side, that is, the first position data, and uploading the first position data to the server to form the checking library, where the server extracts the base station and the latitude and longitude information in the first position data to store to form the checking library, and in addition, the third party obtains the position data of the device side, that is, the second position data, and the server extracts the latitude and longitude information in the second position data to store to form the LBS database. The third party is software such as a Goldmap or a hundred-degree map, and obtains the position data of the equipment end from an open port of the software.
Specifically, an LBS database is constructed by using GPS data reported by a tracker device, that is, the GPS data reported by the device flows into a server through a gateway, and the data are continuously collected, and information such as base stations, longitude and latitude and the like in the data are extracted and stored. The GPS data includes latitude and longitude and nearby base station information. By continuously collecting this data, the LBS database can be continuously trained and refined.
S2, acquiring longitude and latitude information of corresponding first position data returned by the inspection library;
specifically, the inspection library in the server analyzes the first position data to obtain corresponding longitude and latitude information, and then returns the longitude and latitude information to the equipment end.
S3, calculating and checking the longitude and latitude information to obtain a check value;
in an embodiment, in the step of calculating and checking the latitude and longitude information to obtain the check value, the latitude and longitude information is grouped by taking the similarity as a dimension, a group with the most data in the groups is extracted, and weighted average operation is performed on the data in the group in combination with the signal intensity to obtain the check value.
Specifically, the device generally reports two parts of information, namely base station information and WIFI information, when performing LBS positioning. Corresponding data including a plurality of pieces of data are obtained in an LBS database by extracting reported base station information, the content of the data is longitude and latitude of the base station and the base station, a check value is calculated through a clustering algorithm, namely the plurality of pieces of data are grouped, and the method comprises the steps of: the longitude and latitude difference of the two data is divided into a group at 0.0057, 0.00057 is a threshold value debugged in actual production, the group with the largest data is taken after grouping, and the data in the group is combined with the signal intensity to carry out weighted average operation so as to obtain a check value, and individual drift points can be successfully filtered through the calculation.
Specifically, the weighted average algorithm is as follows:
where x is the signal strength, i.e., weight; f is longitude and latitude; n is a number.
Specifically, the clustering algorithm is an unsupervised learning algorithm, and is used for dividing objects in a dataset into different groups, so that the similarity of the objects in the same group is higher, and the similarity of the objects between different groups is lower. The DBSCAN algorithm is adopted here, and the basic idea and advantages of the algorithm are as follows:
DBSCAN (Density-Based Spatial Clustering of Applications withNoise) is a common Density clustering algorithm that is used to divide data points into different clusters and is capable of handling noise and arbitrarily shaped clusters. DBSCAN clusters based on the density and reachability of data points without pre-specifying the number of clusters.
The basic idea of the DBSCAN algorithm is to divide data points with a sufficiently high density into one cluster and expand the size of the cluster by concatenating the data points with a reachable density. Specifically, the algorithm starts with an unvisited data point, finds density reachable points in its neighborhood, and adds them to the same cluster. Then, for each newly added point, continue to find density reachable points in its neighborhood and recursively expand the cluster size. If the density in the neighborhood of a data point is insufficient to meet the clustering condition, it is marked as a noise point or boundary point. Wherein, epsilon: the maximum radius of the community, if the mutual distance of the data points is less than or equal to the specified Epsilon, then they will be of the same class; in other words, it is the DBSCAN that is used to determine if two points are similar and belong to the same class of distance, a larger Epsilon will yield a larger cluster, i.e., contain more data points, and a smaller Epsilon will build a smaller cluster. Generally, the smaller values are because only a small fraction of the data points are required to be within a distance from each other; but if too small, the clusters will be divided into smaller and smaller clusters. Minimum point (minPts): a neighborhood of minPts numbers within a radius of the neighborhood is considered a cluster in which the initial point is contained in minPts. A lower minPts helps the algorithm build more clusters and more noise or outliers. Higher minPts will ensure a more robust cluster, but if the cluster is too large, smaller clusters will be merged into larger clusters. For example: if "minimum point" =4, any 4 or more points within a distance from each other are considered as one cluster. The working flow is as follows: a random point is selected that has at least minPts within its radius, and each point in the neighborhood of the core point is then evaluated to determine if it has minPts within the Epsilon distance (minPts includes the point itself). If the point meets the minPts standard, it will become another core point and the cluster will expand; if a point does not meet the minPts criteria, it becomes a boundary point. As the process continues, the algorithm starts to evolve as the core point "a" is the neighbor of "b" which in turn is the neighbor of "c", and so on. When a cluster is surrounded by boundary points, this cluster has been searched completely because there are no more points within the distance. A new random point is selected and the process is repeated to identify the next cluster.
The main advantages of the DBSCAN algorithm are the ability to find arbitrarily shaped clusters and robustness to noise and outliers. It does not need to pre-specify the number of clusters, and can automatically identify the proper number of clusters. However, the performance of the DBSCAN algorithm is affected by data density non-uniformity and parameter settings, which require careful selection of appropriate parameter values, which mainly include Epsilon and minPts, which need to be adjusted according to the specific traffic scenario.
S4, uploading the first position data to an LBS database of the server;
s5, acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data;
specifically, the latitude and longitude information corresponding to the base station and the WIFI uploaded by the third party is searched in the LBS database according to the first position data, namely the query data.
S6, carrying out result calculation on the query data to obtain a result value;
specifically, although the operation in step S3 reduces the interference of the individual drift points on the positioning accuracy, it is insufficient, and the most group of data in the clustered group may be a group of error combinations, so a reliable verification mechanism is needed to determine the returned result. That is, the same calculation as in step S3 is applied to the query data to obtain a result value.
S7, comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
Specifically, comparing the result value with the check value, mainly comparing the distance between the longitude and latitude of the result value and the longitude and latitude of the check value, setting a dynamically adjustable threshold (10000 meters are defined in the current production environment), if the distance between the two is within 10000 meters, displaying the result value on an interface, and returning the result value to a server for track display generally.
In an embodiment, if the distance between the server and the server is outside 10000 meters, deleting the longitude and latitude information corresponding to the first position data returned by the server, clearing the checking value corresponding to the longitude and latitude information in the LBS database, acquiring the longitude and latitude data of the equipment end through the LBS manufacturer of the third party, and refreshing and storing the longitude and latitude data to the LBS database.
Specifically, a whole set of data verification mechanism is constructed by utilizing high-precision positioning data provided by the tracker type equipment, and the data verification mechanism is used for improving the quality and the precision of returned data.
To facilitate understanding of the technology of the present application, the following application scenarios are now provided: namely a use scene of the electronic student identity card;
when the student purchases and wears the electronic student certificate, parents and teachers can see the real-time position of the student on the server; under a dangerous scene, the student triggers an SOS alarm, the alarm carries current position information of the student and transmits the current position information to a teacher or a parent, and the teacher and the parent can arrive at the position of the student in time to assist; through increasing the ability of LBS in the electronic student identity card, parents and teachers can observe the current position of the student, so that the student can be managed more easily, and meanwhile, certain guarantee is provided for the safety of the student.
According to the application, by constructing the calculation checking mechanism, the data quality of the LBS database is improved, errors and expired data can be effectively cleared, the accuracy of a positioning result is improved, and the customer complaint rate is reduced.
Referring to fig. 2, the application also discloses a device for reducing the drift of the LBS location track point, which comprises: the method comprises the steps of collecting an uploading unit 10, a first obtaining unit 20, a first calculating unit 30, an uploading unit 40, a second obtaining unit 50, a second calculating unit 60 and a comparing unit 70;
the collecting and uploading unit 10 is configured to collect position data of an equipment end, i.e., first position data, and upload the first position data to a server to form a test library;
the first obtaining unit 20 is configured to obtain latitude and longitude information of the corresponding first position data returned by the inspection library;
the first calculating unit 30 is configured to perform calculation and verification on the latitude and longitude information to obtain a verification value;
the uploading unit 40 is configured to upload the first location data to an LBS database of the server;
the second obtaining unit 50 is configured to obtain latitude and longitude information corresponding to the first location data queried by the LBS database, i.e. query data;
the second calculating unit 60 is configured to perform result calculation on the query data to obtain a result value;
the comparison unit 70 is configured to compare the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
In an embodiment, in the collecting and uploading unit 10, the server extracts the base station and the latitude and longitude information in the first location data to store, so as to form a checking library, and in addition, the location data of the device side, that is, the second location data, is obtained from the third party, and the server extracts the latitude and longitude information in the second location data to store, so as to form an LBS database.
In an embodiment, the first calculating unit 30 groups the longitude and latitude information with the similarity as a dimension, extracts a group with the most data in the groups, and performs a weighted average operation on the data combined with the signal intensity in the group to obtain the check value.
In an embodiment, the alignment unit 70 further includes: if the difference value of the two is outside the set threshold value, deleting the longitude and latitude information corresponding to the first position data returned by the server, clearing the checking value corresponding to the longitude and latitude information in the LBS database, acquiring the longitude and latitude data of the equipment end through an LBS manufacturer of a third party, and refreshing and storing the longitude and latitude data to the LBS database.
It should be noted that, as those skilled in the art can clearly understand, the specific implementation process of the apparatus and the units for reducing the LBS location tracking point drift described above may refer to the corresponding descriptions in the foregoing method embodiments, and for convenience and brevity of description, the description is omitted here.
The above-described means for reducing LBS location tracking point drift may be implemented in the form of a computer program that may be run on a computer device as shown in fig. 3.
Referring to fig. 3, fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present application; the computer device 500 may be a terminal or a server, where the terminal may be an electronic device with a communication function, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, a personal digital assistant, and a wearable device. The server may be an independent server or a server cluster formed by a plurality of servers.
With reference to FIG. 3, the computer device 500 includes a processor 502, memory, and a network interface 505, connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032 includes program instructions that, when executed, cause the processor 502 to perform a method of reducing LBS location tracking point drift.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform a method of reducing LBS location tracking point drift.
The network interface 505 is used for network communication with other devices. It will be appreciated by those skilled in the art that the architecture shown in fig. 3 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting of the computer device 500 to which the present inventive arrangements may be implemented, and that a particular computer device 500 may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
Wherein the processor 502 is configured to execute a computer program 5032 stored in a memory to implement the steps of:
collecting position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library; acquiring longitude and latitude information of corresponding first position data returned by the inspection library; calculating and checking the longitude and latitude information to obtain a check value; uploading the first location data to an LBS database of the server; acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data; carrying out result calculation on the query data to obtain a result value; comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
It should be appreciated that in an embodiment of the application, the processor 502 may be a central processing unit (Central Processing Unit, CPU), the processor 502 may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Those skilled in the art will appreciate that all or part of the flow in a method embodying the above described embodiments may be accomplished by computer programs instructing the relevant hardware. The computer program comprises program instructions, and the computer program can be stored in a storage medium, which is a computer readable storage medium. The program instructions are executed by at least one processor in the computer system to implement the flow steps of the embodiments of the method described above.
Accordingly, the present application also provides a storage medium. The storage medium may be a computer readable storage medium. The storage medium stores a computer program, wherein the computer program comprises program instructions which, when executed by a processor, implement the above-described method of reducing LBS location trajectory point drift. The storage medium stores a computer program comprising program instructions which, when executed by a processor, implement the method described above. The program instructions include the steps of:
collecting position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library; acquiring longitude and latitude information of corresponding first position data returned by the inspection library; calculating and checking the longitude and latitude information to obtain a check value; uploading the first location data to an LBS database of the server; acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data; carrying out result calculation on the query data to obtain a result value; comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
The storage medium may be a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk, or other various computer-readable storage media that can store program codes.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.
The steps in the method of the embodiment of the application can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the application can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application.
The foregoing embodiments are preferred embodiments of the present application, and in addition, the present application may be implemented in other ways, and any obvious substitution is within the scope of the present application without departing from the concept of the present application.
Claims (10)
1. A method for reducing LBS location tracking point drift comprising the steps of:
collecting position data of a device end, namely first position data, and uploading the first position data to a server to form a checking library;
acquiring longitude and latitude information of corresponding first position data returned by the inspection library;
calculating and checking the longitude and latitude information to obtain a check value;
uploading the first location data to an LBS database of the server;
acquiring longitude and latitude information corresponding to the first position data queried by the LBS database, namely query data;
carrying out result calculation on the query data to obtain a result value;
comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
2. The method for reducing LBS location tracking point drift according to claim 1, wherein the step of collecting the location data of the device side, i.e., the first location data, and uploading the first location data to a server to form a verification library, wherein the server extracts the base station and the latitude and longitude information in the first location data to store to form a verification library, and further obtains the location data of the device side, i.e., the second location data, from a third party, and the server extracts the latitude and longitude information in the second location data to store to form a LBS database.
3. The method for reducing LBS location tracking point drift of claim 1, wherein in the step of computing and checking the latitude and longitude information to obtain the check value, the latitude and longitude information is grouped by using the similarity as a dimension, a group with the most data in the groups is extracted, and a weighted average operation is performed on the data in the group in combination with the signal intensity to obtain the check value.
4. The method for reducing LBS location tracking point drift of claim 1, wherein the step of comparing the result value with the verification value further comprises: if the difference value of the two is outside the set threshold value, deleting the longitude and latitude information corresponding to the first position data returned by the server, clearing the checking value corresponding to the longitude and latitude information in the LBS database, acquiring the longitude and latitude data of the equipment end through an LBS manufacturer of a third party, and refreshing and storing the longitude and latitude data to the LBS database.
5. An apparatus for reducing LBS location tracking point drift, comprising: the device comprises an acquisition uploading unit, a first acquisition unit, a first calculation unit, an uploading unit, a second acquisition unit, a second calculation unit and a comparison unit;
the collecting and uploading unit is used for collecting position data of the equipment end, namely first position data, and uploading the first position data to the server to form a checking library;
the first acquisition unit is used for acquiring longitude and latitude information of the corresponding first position data returned by the inspection library;
the first calculation unit is used for calculating and checking the longitude and latitude information to obtain a check value;
the uploading unit is used for uploading the first position data to an LBS database of the server;
the second obtaining unit is configured to obtain latitude and longitude information corresponding to the first position data queried by the LBS database, i.e. query data;
the second calculation unit is used for carrying out result calculation on the query data to obtain a result value;
the comparison unit is used for comparing the result value with the check value; and if the difference value of the two is within the set threshold value, displaying the result value in an interface.
6. The apparatus for reducing LBS location tracking point drift according to claim 5, wherein in the collecting and uploading unit, the server extracts and stores the base station and the latitude and longitude information in the first location data to form a check library, and further obtains the location data of the device side from the third party, that is, the second location data, and the server extracts and stores the latitude and longitude information in the second location data to form an LBS database.
7. The apparatus for reducing LBS location tracking point drift according to claim 5, wherein the first computing unit groups longitude and latitude information with similarity as a dimension, extracts a group with the most data among the groups, and performs a weighted average operation on the data combined signal intensities in the group to obtain the check value.
8. The apparatus for reducing LBS location trajectory point drift of claim 5, wherein said alignment unit further comprises: if the difference value of the two is outside the set threshold value, deleting the longitude and latitude information corresponding to the first position data returned by the server, clearing the checking value corresponding to the longitude and latitude information in the LBS database, acquiring the longitude and latitude data of the equipment end through an LBS manufacturer of a third party, and refreshing and storing the longitude and latitude data to the LBS database.
9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program, the processor implementing the method of reducing LBS location trace point drift according to any one of claims 1-4 when the computer program is executed.
10. A storage medium storing a computer program comprising program instructions which, when executed by a processor, implement the method of reducing LBS location trace point drift of any one of claims 1-4.
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| CN202311191644.9A CN117235057A (en) | 2023-09-14 | 2023-09-14 | Method, device, equipment and medium for reducing LBS positioning track point drift |
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