CN110650531B - Base station coordinate calibration method, system, storage medium and equipment - Google Patents
Base station coordinate calibration method, system, storage medium and equipment Download PDFInfo
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- CN110650531B CN110650531B CN201910906141.2A CN201910906141A CN110650531B CN 110650531 B CN110650531 B CN 110650531B CN 201910906141 A CN201910906141 A CN 201910906141A CN 110650531 B CN110650531 B CN 110650531B
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- H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
Abstract
The application discloses a base station coordinate calibration method, a system, a storage medium and equipment. The method flow of one embodiment of the present specification includes: acquiring longitude and latitude coordinates of a mobile terminal and marking information of a base station connected with the mobile terminal; selecting a longitude and latitude coordinate set for calculating a calibration coordinate of a base station from longitude and latitude coordinates of mobile terminals connected to the same base station; clustering all longitude and latitude coordinates in the longitude and latitude coordinate set according to the distance between different longitude and latitude coordinates, and calculating class coordinates corresponding to each class of longitude and latitude coordinates and weight values of class coordinate weights corresponding to the class coordinates; and determining the calibration coordinates of the base station based on the class coordinates and the weight values of the class coordinate weights corresponding to the class coordinates. According to the method disclosed by the embodiment of the specification, the position information of the base station can be simply and quickly acquired on the premise of not carrying out on-site manual measurement.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to a method, a system, a storage medium, and an apparatus for calibrating coordinates of a base station.
Background
The base station is an important component of a mobile communication network, and in many application scenarios, in order to facilitate maintenance, arrangement, and upgrade of the base station, detailed location information of the base station needs to be acquired.
In the prior art, the main scheme in the industry is to obtain the position information of the base station by measuring with a measuring tape or calibrating with a positioning tag. However, the above scheme for obtaining the location information of the base station requires manual field operation, and after the measurement is completed, if the measurement result needs to be checked in the subsequent processing process, the manual checking operation still needs to be repeated on the field. Therefore, not only a large amount of human resources need to be consumed, but also the field measurement process is complicated, and the measurement result is easy to be wrong due to manual errors in the manual measurement/checking process.
Disclosure of Invention
In view of this, embodiments of the present specification provide a method, a system, a storage medium, and a device for calibrating a base station coordinate, which are used to solve the problems in the prior art that a base station location information obtaining process is complicated and manpower resources are consumed too much.
The embodiment of the specification adopts the following technical scheme:
an embodiment of the present specification provides a method for calibrating a coordinate of a base station, where the method includes:
acquiring longitude and latitude coordinates of a mobile terminal and marking information of a base station connected with the mobile terminal;
selecting a longitude and latitude coordinate set for calculating a calibration coordinate of a base station from longitude and latitude coordinates of mobile terminals connected to the same base station based on the marking information of the base station to which the mobile terminal is connected;
clustering all longitude and latitude coordinates in the longitude and latitude coordinate set according to the distance between different longitude and latitude coordinates, and calculating class coordinates corresponding to each class of longitude and latitude coordinates and a weight value of a class coordinate weight corresponding to the class coordinates, wherein the class coordinate weight represents the proportion of the class longitude and latitude coordinates in the longitude and latitude coordinate set;
and determining the calibration coordinates of the base station based on the class coordinates and the weight values of the class coordinate weights corresponding to the class coordinates.
In an embodiment of the present specification, acquiring latitude and longitude coordinates of a mobile terminal and tag information of a base station to which the mobile terminal is connected includes:
acquiring longitude and latitude coordinates of the mobile terminal and mark information of a base station connected to the mobile terminal when the mobile terminal is located in the longitude and latitude coordinates by taking the mobile terminal as a data acquisition source;
alternatively, the first and second electrodes may be,
and acquiring latitude and longitude information of a mobile terminal connected to the base station and mark information of the base station by taking the base station as a data acquisition source.
In an embodiment of the present specification, a latitude and longitude coordinate set used for calculating calibration coordinates of a base station is selected from latitude and longitude coordinates of a mobile terminal connected to the same base station, where the number of the latitude and longitude coordinates in the latitude and longitude coordinate set is less than or equal to a preset number.
In an embodiment of the present specification, selecting a longitude and latitude coordinate set for calculating calibration coordinates of a base station from longitude and latitude coordinates of mobile terminals connected to the same base station includes:
when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is less than or equal to the preset number, selecting a longitude and latitude coordinate set for calculating calibration coordinates of the base station from the longitude and latitude coordinates of the mobile terminals connected to the same base station, wherein the longitude and latitude coordinate set comprises all the longitude and latitude coordinates;
and when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is greater than the preset number, selecting the longitude and latitude coordinates of the preset number from the longitude and latitude coordinates of the mobile terminals connected to the same base station to form the longitude and latitude coordinate set.
In an embodiment of the present specification, each longitude and latitude coordinate in the longitude and latitude coordinate set is clustered according to a distance between different longitude and latitude coordinates, and a class coordinate corresponding to each class of longitude and latitude coordinates is calculated, where the longitude and latitude coordinates with a distance less than or equal to a preset distance threshold are classified into a class
In an embodiment of the present specification, clustering the longitude and latitude coordinates in the longitude and latitude coordinate set according to a distance between different longitude and latitude coordinates, and calculating a class coordinate corresponding to each class of longitude and latitude coordinate includes:
selecting two longitude and latitude coordinates with the minimum distance in the longitude and latitude coordinate set;
judging whether the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold value or not;
when the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold value, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set;
repeating the steps until the distance between any two longitude and latitude coordinates in the generated longitude and latitude coordinate set is larger than the preset distance threshold;
and taking the longitude and latitude coordinates in the finally generated longitude and latitude coordinate set as the class coordinates.
In an embodiment of the present specification, when the distance between the two longitude and latitude coordinates is less than or equal to the preset distance threshold, replacing the two longitude and latitude coordinates with the longitude and latitude coordinate of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set, further including:
and taking the sum of the weighted values of the two longitude and latitude coordinates as the weighted value of the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates.
In an embodiment of the present specification, in an initial longitude and latitude coordinate set, a weight corresponding to each longitude and latitude coordinate is a preset weight value.
In an embodiment of the present specification, determining a calibration coordinate of the base station based on the class coordinate and a weight value of a class coordinate weight corresponding to the class coordinate includes:
and comparing the class coordinate weights, and taking the class coordinate with the highest weight value as the calibration coordinate of the base station.
In an embodiment of this specification, the comparing the class coordinate weights, and taking the class coordinate with the highest weight value as the calibration coordinate of the base station includes:
screening is carried out based on a preset weight ratio threshold, a class coordinate with the highest weight value in class coordinates with the weight ratio larger than the preset weight ratio threshold is taken as a calibration coordinate of the base station, and the weight ratio of the class coordinate is as follows: class coordinate weight/total weight of all class coordinates.
In an embodiment of this specification, the comparing the class coordinate weights, and taking the class coordinate with the highest weight value as the calibration coordinate of the base station includes:
and outputting an error prompt when the class coordinate with the highest weight value is a plurality of class coordinates with the same weight.
An embodiment of the present specification further provides a base station coordinate calibration system, where the system includes:
the mobile terminal comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring longitude and latitude coordinates of a mobile terminal and mark information of a base station to which the mobile terminal is connected;
the data screening module is used for selecting a longitude and latitude coordinate set used for calculating a calibration coordinate of the base station from longitude and latitude coordinates of the mobile terminal connected to the same base station based on the marking information of the base station to which the mobile terminal is connected;
the clustering calculation module is used for clustering all longitude and latitude coordinates in the longitude and latitude coordinate set according to the intervals among different longitude and latitude coordinates, and calculating class coordinates corresponding to each class of longitude and latitude coordinates and weight values of class coordinate weights corresponding to the class coordinates;
and the base station coordinate calibration module is used for determining the calibration coordinate of the base station based on the class coordinate and the weight value of the class coordinate weight corresponding to the class coordinate.
Embodiments of the present specification also provide a computer readable medium having stored thereon computer readable instructions executable by a processor to implement the method described in embodiments of the present specification.
The present specification also proposes a device for information processing at an accessing device, the device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the device to perform the method of the system according to the present specification.
The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects: according to the method of the embodiment of the specification, the longitude and latitude information of the mobile terminal connected to the base station can be fully utilized on the premise of not carrying out on-site manual measurement, and the position information of the base station can be determined and obtained simply and quickly; compared with the prior art, the method disclosed by the embodiment of the specification can effectively reduce the labor cost of base station calibration, shorten the time consumption, has a simple process, is high in accuracy and has high practicability.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 and 4 are flowcharts of an application program operation method in an embodiment of the present specification;
fig. 2 and fig. 3 are partial flowcharts of an operation method of an application program in an embodiment of the present specification;
FIGS. 5 to 7 are schematic diagrams of longitude and latitude coordinate corresponding points in the embodiments of the present description;
fig. 8 is a block diagram of a system in an embodiment of the present specification.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the prior art, the base station position information acquisition process is complicated, and the consumption of human resources is too large. In order to propose the method of the embodiments of the present specification, the inventors first analyzed the practical application scenario.
In practical application scenarios, a base station of a mobile communication network is used for connecting a mobile terminal, and with the increasing popularization of mobile positioning technology, a general mobile terminal generally has the capability of acquiring its own location information. Therefore, acquiring location information of the mobile terminal itself does not require manual measurement in the field. Further, in a mobile communication network, the correspondence between a base station and a mobile terminal connected to the base station is regional, that is, a mobile terminal connected to a certain base station is necessarily located within the coverage of the base station, and the coverage of the base station is directly dependent on the position of the base station itself. If the coverage area of the base station can be clarified, the position of the base station is clarified. If the position of the mobile terminal in the coverage area of the base station is clear, the coverage area of the base station is approximately determined.
Therefore, based on the above analysis, in an embodiment of the present specification, the position of a base station is determined by a mobile terminal connected to one base station. That is, position information of a mobile terminal connected to a certain base station is acquired, and position information of the base station is determined based on the position information of the mobile terminal.
Furthermore, in an actual application scenario, there are a plurality of mobile terminals connected to one base station, and the positions of the mobile terminals are different, some of the mobile terminals are far away from the base station, some of the mobile terminals are close to the base station, and some of the mobile terminals are overlapped with the base station. Therefore, in the process of determining the position of the base station connected to the mobile terminal according to the position of the mobile terminal, the position information of one mobile terminal cannot be directly used as the position information of the base station.
Therefore, in an embodiment of the present specification, a distribution of mobile terminals connected to one base station is acquired, and the location of the base station is determined according to the distribution. Specifically, in an embodiment of the present specification, the longitude and latitude coordinates of a mobile terminal connected to a base station are constructed as a longitude and latitude coordinate set. And acquiring the distribution condition of the mobile terminal according to the longitude and latitude coordinate set. Specifically, in an embodiment of the present specification, each longitude and latitude coordinate in the longitude and latitude coordinate set is clustered according to a distance between different longitude and latitude coordinates, and each type of longitude and latitude coordinate after clustering corresponds to a longitude and latitude aggregation set. And setting a class coordinate weight representing the proportion of each class of longitude and latitude coordinate in the longitude and latitude coordinate set for each class of longitude and latitude coordinate, and describing the distribution condition of the mobile terminal through the class coordinate weight.
To sum up, in an embodiment of the present specification, clustering each longitude and latitude coordinate in a longitude and latitude coordinate set according to a distance between different longitude and latitude coordinates, and calculating a class coordinate corresponding to each class of longitude and latitude coordinate and a weight value of a class coordinate weight corresponding to the class coordinate, where the class coordinate weight represents a specific gravity of the class longitude and latitude coordinate in the longitude and latitude coordinate set; and determining the calibration coordinates of the base station based on the class coordinates and the weight values of the class coordinate weights corresponding to the class coordinates.
The technical solutions provided by the embodiments of the present description are described in detail below with reference to the accompanying drawings.
In an embodiment of this specification, as shown in fig. 1, a method for calibrating coordinates of a base station includes:
s110, acquiring longitude and latitude coordinates of the mobile terminal and marking information of a base station connected with the mobile terminal;
s120, selecting a longitude and latitude coordinate set for calculating a calibration coordinate of the base station from the longitude and latitude coordinates of the mobile terminal connected to the same base station;
s130, clustering all longitude and latitude coordinates in the longitude and latitude coordinate set according to the distance between different longitude and latitude coordinates, and calculating class coordinates corresponding to each class of longitude and latitude coordinates and weight values of class coordinate weights corresponding to the class coordinates, wherein the class coordinate weights represent the specific gravity of the class longitude and latitude coordinates in the longitude and latitude coordinate set;
and S140, determining the calibration coordinates of the base station based on the class coordinates and the weight values of the class coordinate weights corresponding to the class coordinates.
According to the method of the embodiment of the specification, the longitude and latitude information of the mobile terminal connected to the base station can be fully utilized on the premise of not carrying out on-site manual measurement, and the position information of the base station can be determined and obtained simply and quickly; compared with the prior art, the method disclosed by the embodiment of the specification can effectively reduce the labor cost of base station calibration, shorten the time consumption, has a simple process, is high in accuracy and has high practicability.
Further, in an embodiment of the present specification, an execution subject of the method provided in the embodiment of the present specification may be any one or a combination of several of a personal handheld terminal, a cloud server, and a local terminal.
Further, in an embodiment of the present specification, in the process of acquiring the longitude and latitude coordinates of the mobile terminal and the tag information of the base station to which the mobile terminal is connected, the base station is used as a data acquisition source to acquire the longitude and latitude information of the mobile terminal connected to the base station and the tag information of the base station itself.
Further, considering that currently, base station data is mainly grasped by each large operator, whether to acquire this part of data depends on the data openness of the operator, and there is a case where a base station cannot be used as a data acquisition source. Therefore, in an embodiment of the present specification, a mobile terminal is used as a data acquisition source to acquire longitude and latitude coordinates of the mobile terminal and mark information of a base station to which the mobile terminal is connected when the mobile terminal is in the longitude and latitude coordinates.
Specifically, in one embodiment of the present specification, the mobile terminal is used to obtain current location information of the mobile terminal and basic information (e.g., base station type, base station id) of a base station to which the mobile terminal is currently connected. When the position information of a certain base station is determined, the mobile terminal data of the mobile terminal connected to the base station is screened (matched with the base station type and the base station id) from the collected mobile terminal data.
Further, in practical application scenarios, the more mobile terminals connected to a single base station, the higher the accuracy and precision of the position of the base station calculated finally, but at the same time, the larger the required calculation amount. Therefore, in an embodiment of the present specification, in order to reduce the calculation pressure, it is necessary to reduce the data amount of the mobile terminal data participating in the calculation of the base station position as much as possible on the premise of meeting the requirements of accuracy and precision of the calculation result of the base station position. That is, the number of mobile terminals involved in the calculation of the position of the base station is controlled to a specific threshold.
Specifically, in an embodiment of the present specification, a latitude and longitude coordinate set used for calculating calibration coordinates of a base station is selected from latitude and longitude coordinates of mobile terminals connected to the same base station, where the number of the latitude and longitude coordinates in the latitude and longitude coordinate set is less than or equal to a preset number.
Specifically, in an embodiment of the present specification, selecting a longitude and latitude coordinate set used for calculating calibration coordinates of a base station from longitude and latitude coordinates of mobile terminals connected to the same base station includes:
when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is less than or equal to the preset number, selecting a longitude and latitude coordinate set for calculating calibration coordinates of the base station from the longitude and latitude coordinates of the mobile terminals connected to the same base station, wherein the longitude and latitude coordinate set comprises all the longitude and latitude coordinates;
and when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is greater than the preset number, selecting the longitude and latitude coordinates of the preset number from the longitude and latitude coordinates of the mobile terminals connected to the same base station to form a longitude and latitude coordinate set.
Specifically, in an embodiment of the present specification, when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is greater than a preset number, the longitude and latitude coordinates of the preset number are randomly selected from the longitude and latitude coordinates of the mobile terminals connected to the same base station to form a longitude and latitude coordinate set.
Specifically, in an embodiment of the present specification, the preset number is determined by the accuracy and precision of the finally required base station position for the number of longitude and latitude coordinates in the longitude and latitude coordinate set. Specifically, in an embodiment of the present specification, the preset number is set to 1000.
Specifically, in an embodiment of this specification, as shown in fig. 2, the base station coordinate calibration method includes:
s210, acquiring longitude and latitude coordinates of the mobile terminal and mark information of a base station connected with the mobile terminal;
s211, screening out longitude and latitude coordinates of the mobile terminal connected to the specified base station;
s220, judging whether the number of the screened longitude and latitude coordinates exceeds 1000;
if the longitude and latitude coordinates exceed the preset range, S221, randomly selecting 1000 longitude and latitude coordinates from the preset range to form a longitude and latitude coordinate set;
if not, S222, utilizing the selected longitude and latitude coordinates to form a longitude and latitude coordinate set.
Further, in an embodiment of the present specification, each longitude and latitude coordinate in the longitude and latitude coordinate set is clustered according to a distance between different longitude and latitude coordinates, where the longitude and latitude coordinates with a distance less than or equal to a preset distance threshold are classified into one category.
Specifically, in an embodiment of the present specification, each longitude and latitude coordinate in the longitude and latitude coordinate set is corresponding to a point:
selecting two points with the minimum distance in the longitude and latitude coordinate set;
judging whether the distance between the two selected points is smaller than or equal to a preset distance threshold value or not;
when the distance between the two points is smaller than or equal to the preset distance threshold value, combining the two points into one point;
and repeating the steps until the distance between any two points is larger than a preset distance threshold value based on the result after the two points are combined.
In the final result of the above steps, the case of any one point is one of the following two possibilities:
merging the points of which the distance is less than or equal to a preset distance threshold value;
and a dot not spaced from any dot by less than or equal to a preset spacing threshold.
That is, in the final result of the above steps, any one point represents a longitude and latitude coordinate in the initial longitude and latitude coordinate set, where a distance is less than or equal to a preset distance threshold. In the final result of the above steps, the distance between any two points is greater than the preset distance threshold.
Further, in an embodiment of the present specification, when two points are merged into one point, the merged point is a center point of the previous two points. Specifically, in an embodiment of the present specification, classifying the longitude and latitude coordinates whose distance is less than or equal to a preset distance threshold into one class, and calculating a class coordinate corresponding to each class of longitude and latitude coordinates includes:
selecting two longitude and latitude coordinates with the smallest distance in the longitude and latitude coordinate set;
judging whether the distance between the two longitude and latitude coordinates is smaller than or equal to a preset distance threshold value or not;
when the distance between the two longitude and latitude coordinates is smaller than or equal to a preset distance threshold value, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set;
repeating the steps until the distance between any two longitude and latitude coordinates in the generated longitude and latitude coordinate set is larger than a preset distance threshold;
and taking the longitude and latitude coordinates in the finally generated longitude and latitude coordinate set as class coordinates.
Specifically, in an embodiment of the present specification, as shown in fig. 3:
s310, selecting two longitude and latitude coordinates with the smallest distance in the longitude and latitude coordinate set;
s320, judging whether the distance between the two longitude and latitude coordinates is smaller than or equal to a preset distance threshold value;
when the distance between the two longitude and latitude coordinates is smaller than or equal to a preset distance threshold value, S321, replacing the two longitude and latitude coordinates with the longitude and latitude coordinate of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set;
when the distance between the two longitude and latitude coordinates is greater than the preset distance threshold, S322, comparing the weight (class coordinate weight) corresponding to each longitude and latitude coordinate in the final longitude and latitude coordinate set, and using the class coordinate with the highest weight as the calibration coordinate of the base station.
Specifically, in an embodiment of the present specification, the preset distance threshold is 500 m.
Further, when the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set, wherein the sum of the weighted values of the two longitude and latitude coordinates is used as the weighted value of the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates.
Further, in an embodiment of the present specification, in the initial longitude and latitude coordinate set, a weight corresponding to each longitude and latitude coordinate is a preset weight value.
Specifically, in an embodiment of the present specification, the preset weight value is 1. That is, in the finally generated longitude and latitude coordinate set, if a certain longitude and latitude coordinate is combined by 3 longitude and latitude coordinates in the initial longitude and latitude coordinate set, the weight corresponding to the longitude and latitude coordinate is 3; or after clustering, if the number of the longitudes and latitudes of a certain class is 3, the class coordinate weight of the class is 3.
Further, in practical application scenarios, generally, among the mobile terminals connected to the base station, the closer to the base station, the denser the distribution of the mobile terminals. Therefore, if the position set of the mobile terminal with the most dense distribution is determined from the latitude and longitude coordinate set, the latitude and longitude value with the maximum possibility of coincidence with the position of the base station can be determined according to the set.
Therefore, in an embodiment of the present specification, each longitude and latitude coordinate in the longitude and latitude coordinate set is clustered according to the distance between different longitude and latitude coordinates, and each type of longitude and latitude coordinate after clustering corresponds to a longitude and latitude aggregation set. Then, the most densely distributed set of mobile terminal locations can be determined by determining the largest (the greatest percentage of the longitude and latitude coordinate set) longitude and latitude aggregate set. Further, if a class coordinate weight representing the specific gravity of each class of longitude and latitude coordinate in the longitude and latitude coordinate set is set for each class of longitude and latitude coordinate, the longitude and latitude aggregation set with the maximum specific gravity in the longitude and latitude coordinate set can be determined by calculating the class coordinate weight.
Specifically, in an embodiment of the present specification, determining a calibration coordinate of a base station based on a class coordinate and a weight value of a class coordinate weight corresponding to the class coordinate includes:
and comparing the class coordinate weight, and taking the class coordinate with the highest weight value as the calibration coordinate of the base station.
Further, in an actual application scenario, when the mobile terminals are not highly aggregated and the location distribution is relatively even, even the mobile terminal set with the highest aggregation degree cannot represent that the mobile terminal set has the highest possibility of coinciding with the location of the base station. Therefore, in an embodiment of this specification, an aggregation threshold is set, only a mobile terminal set greater than the threshold can be used to determine the location of the base station, and if there is no mobile terminal set greater than the threshold, it indicates that none of the current mobile terminal sets is sufficient to be used to determine the location of the base station, and data acquisition and sorting needs to be performed again.
Specifically, in an embodiment of this specification, the class coordinate weight is compared, and the class coordinate with the highest weight value is used as the calibration coordinate of the base station, where: and screening based on a preset weight threshold value, and taking the class coordinate with the highest weight value in the class coordinates larger than the preset weight threshold value as a calibration coordinate of the base station.
Further, in consideration of the fact that in an application scenario, the class coordinate weight is obtained by weight accumulation, as long as the number of the longitude and latitude coordinates participating in calculation is enough, the class coordinate weight value is inevitably large, and then a fixed preset weight threshold value cannot well reflect the aggregation degree of the mobile terminal set. Therefore, in an embodiment of this specification, the screening is performed based on a preset weight ratio threshold, and a class coordinate with a highest weight value in class coordinates with a weight ratio greater than the preset weight ratio threshold is used as a calibration coordinate of the base station, where the weight ratio of the class coordinate is: class coordinate weight/total weight of all class coordinates.
Specifically, in an embodiment of the present specification, the class coordinate weight/total class coordinate weight is equivalent to a ratio of each longitude and latitude coordinate (each class of longitude and latitude coordinate) in the final clustered longitude and latitude coordinate set to the initial longitude and latitude coordinate set.
Specifically, in an embodiment of the present specification, a preset weight threshold is set for the class coordinate weight/longitude and latitude coordinate lumped weight. Specifically, the initial weight corresponding to each longitude and latitude coordinate in the initial longitude and latitude coordinate set is set to be 1, and then the class coordinate weight corresponding to each longitude and latitude coordinate in the final clustered longitude and latitude coordinate set is the number of the longitude and latitude coordinates merged by the longitude and latitude coordinate in the clustering process.
Specifically, in one embodiment of the present disclosure, the predetermined weight ratio threshold is set to 0.1.
Specifically, in an embodiment of the present specification, as shown in fig. 4:
s410, acquiring longitude and latitude coordinates of the mobile terminal and marking information of a base station connected with the mobile terminal;
s411, screening out longitude and latitude coordinates of the mobile terminal with the mark information as the base station A;
s420, judging whether the number of the screened longitude and latitude coordinates exceeds 1000;
if the longitude and latitude coordinates exceed the preset range, S421, randomly selecting 1000 longitude and latitude coordinates from the preset range to form a longitude and latitude coordinate set;
if not, S422, forming a longitude and latitude coordinate set by utilizing the screened longitude and latitude coordinates;
s423, setting the weight corresponding to each longitude and latitude coordinate in the longitude and latitude coordinate set as 1;
s430, selecting two longitude and latitude coordinates with the smallest distance in the longitude and latitude coordinate set;
s440, judging whether the distance between the two longitude and latitude coordinates is less than or equal to 500 m;
when the distance between the two longitude and latitude coordinates is less than or equal to 500m, S441, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates, taking the sum of the weights of the two longitude and latitude coordinates as the weight corresponding to the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates, and returning to the step S430;
when the distance between the two longitude and latitude coordinates is larger than a preset distance threshold value, S450, screening the longitude and latitude coordinates with the longitude and latitude coordinate weight/longitude and latitude coordinate lumped weight larger than 0.1;
if the longitude and latitude coordinate with the longitude and latitude coordinate weight/longitude and latitude coordinate lumped weight larger than 0.1 does not exist, S460, outputting an error prompt;
if the longitude and latitude coordinates with the longitude and latitude coordinate weight/longitude and latitude coordinate lumped weight larger than 0.1 exist, S470, the longitude and latitude coordinate with the highest longitude and latitude coordinate weight is selected as the calibration coordinate of the base station.
Further, comparing the class coordinate weight, and taking the class coordinate with the highest weight value as a calibration coordinate of the base station, wherein: and when the class coordinate with the highest weight value is a plurality of class coordinates with the same weight, taking the center point coordinate of the class coordinates with the same weight as the calibration coordinate of the base station.
Further, it is considered that in an actual application scenario, a small amount of dirty data is mixed in actual data, which may cause that class coordinates with the same weight may be far from the actual, and if a central point is directly taken, a large deviation may be caused. Therefore, in an embodiment of the present specification, when the class coordinate having the highest weight value is a plurality of class coordinates having the same weight, the center point is not directly calculated as the base station coordinate. Specifically, in an embodiment of the present specification, only one class coordinate with the highest weight value is selected as a calibration coordinate of the base station, and when the class coordinate with the highest weight value is a plurality of class coordinates with the same weight, an error prompt is output.
Further, there are many reasons for the generation of dirty data: such as false robot traffic, false base stations, etc. Therefore, in an embodiment of the present specification, only the base station with the highest weight as one class coordinate is selected to be stored in a library, and the base station data having a plurality of highest weight class coordinates outputs an error prompt and is stored in another database as a suspected "pseudo base station" for subsequent determination.
Taking a specific application scenario as an example, all longitude and latitude position data of any base station is selected, the record number is 1610, and the data is shown in fig. 5. In fig. 5, the abscissa is latitude, the ordinate is longitude, each point is a piece of longitude and latitude data, the color depth represents the data magnitude, and the deeper the color, the more data representing the longitude and latitude.
Since the number of records 1610 is greater than the threshold (1000), 1000 are randomly chosen as the training set (the initial set of latitude and longitude coordinates for calculating the location of the base station), and the data is shown in fig. 6. In fig. 6, the abscissa is latitude, the ordinate is longitude, each point is a piece of longitude and latitude data, the color depth represents the data magnitude, and the deeper the color, the more data representing the longitude and latitude.
For the longitude and latitude coordinate set shown in fig. 6, 3. find the distance between two points respectively, and classify according to the distance and the threshold (500m), the result is shown in fig. 7. In fig. 7, the abscissa is latitude, the ordinate is longitude, and each point represents data of one piece of longitude and latitude (a type of longitude and latitude) after clustering. The radius of a point represents the magnitude of the weight (class coordinate weight), and the larger the radius, the larger the weight.
Calculating the class coordinate weight/total weight of all the class coordinates corresponding to each point, and selecting the class coordinate weight/total weight of all the class coordinates to be greater than a threshold (set as 0.1 here) and the longitude and latitude corresponding to the point with the highest class coordinate weight as the longitude and latitude of the base station. And finally, determining the longitude and latitude coordinates of the base station as (105.00990051,34.6980715), wherein the corresponding class coordinate weight/total weight of all class coordinates is 0.4.
Further, based on the method provided in the embodiments of the present specification, the embodiments of the present specification further provide a base station coordinate calibration system. Specifically, in an embodiment of this specification, as shown in fig. 8, the base station coordinate calibration system includes:
a data acquisition module 810 for acquiring longitude and latitude coordinates of the mobile terminal and label information of a base station to which the mobile terminal is connected;
a data screening module 820 for selecting a latitude and longitude coordinate set for calculating calibration coordinates of the base station from the latitude and longitude coordinates of the mobile terminal connected to the same base station;
a clustering calculation module 830, configured to cluster the longitude and latitude coordinates in the longitude and latitude coordinate set according to a distance between different longitude and latitude coordinates, and calculate a class coordinate corresponding to each class of longitude and latitude coordinate and a weight value of a class coordinate weight corresponding to the class coordinate;
and the base station coordinate calibration module 840 is used for comparing the class coordinate weights and taking the class coordinate with the highest weight value as the calibration coordinate of the base station.
Further, based on the method proposed by the embodiment of the present specification, the embodiment of the present specification also proposes a computer readable medium on which computer readable instructions are stored, the computer readable instructions being executable by a processor to implement the method proposed by the embodiment of the present specification.
Further, based on the method of the present invention, the present invention also proposes a device for information processing at an accessing device, the device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the device to perform the method of the present invention.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by an accessing party. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Hardware Description Language), traffic, pl (core universal Programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), vhal (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (12)
1. A base station coordinate calibration method is characterized by comprising the following steps:
acquiring longitude and latitude coordinates of a plurality of different mobile terminals and marking information of a base station to which the mobile terminals are connected;
selecting a longitude and latitude coordinate set for calculating a calibration coordinate of a base station from longitude and latitude coordinates of mobile terminals connected to the same base station based on the marking information of the base station to which the mobile terminal is connected;
clustering all longitude and latitude coordinates in the longitude and latitude coordinate set according to the distance between different longitude and latitude coordinates, and calculating class coordinates corresponding to each class of longitude and latitude coordinates and a weight value of a class coordinate weight corresponding to the class coordinates, wherein the longitude and latitude coordinates with the distance less than or equal to a preset distance threshold value are classified into one class, and the class coordinate weight represents the proportion of the class longitude and latitude coordinates in the longitude and latitude coordinate set;
determining a calibration coordinate of the base station based on the class coordinate and a weight value of a class coordinate weight corresponding to the class coordinate;
the calculating of the class coordinate corresponding to each class of longitude and latitude coordinates comprises the following steps:
selecting two longitude and latitude coordinates with the minimum distance in the longitude and latitude coordinate set;
judging whether the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold value or not;
when the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold value, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set;
repeating the steps until the distance between any two longitude and latitude coordinates in the generated longitude and latitude coordinate set is larger than the preset distance threshold;
and taking the longitude and latitude coordinates in the finally generated longitude and latitude coordinate set as the class coordinates.
2. The method of claim 1, wherein obtaining longitude and latitude coordinates of a mobile terminal and label information of a base station to which the mobile terminal is connected comprises:
acquiring longitude and latitude coordinates of the mobile terminal and mark information of a base station connected to the mobile terminal when the mobile terminal is located in the longitude and latitude coordinates by taking the mobile terminal as a data acquisition source;
alternatively, the first and second electrodes may be,
and acquiring latitude and longitude information of a mobile terminal connected to the base station and mark information of the base station by taking the base station as a data acquisition source.
3. The method according to claim 1 or 2, characterized in that a latitude and longitude coordinate set for calculating calibration coordinates of the base station is selected from latitude and longitude coordinates of mobile terminals connected to the same base station, wherein the number of latitude and longitude coordinates in the latitude and longitude coordinate set is less than or equal to a preset number.
4. The method of claim 3, wherein selecting a set of longitude and latitude coordinates for calculating calibration coordinates of the base station from the longitude and latitude coordinates of mobile terminals connected to the same base station comprises:
when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is less than or equal to the preset number, selecting a longitude and latitude coordinate set for calculating calibration coordinates of the base station from the longitude and latitude coordinates of the mobile terminals connected to the same base station, wherein the longitude and latitude coordinate set comprises all the longitude and latitude coordinates;
and when the number of the longitude and latitude coordinates of the mobile terminals connected to the same base station is greater than the preset number, selecting the longitude and latitude coordinates of the preset number from the longitude and latitude coordinates of the mobile terminals connected to the same base station to form the longitude and latitude coordinate set.
5. The method of claim 1, wherein when the distance between the two longitude and latitude coordinates is less than or equal to the preset distance threshold, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the center point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set, further comprising:
and taking the sum of the weighted values of the two longitude and latitude coordinates as the weighted value of the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates.
6. The method of claim 5, wherein the weight corresponding to each latitude and longitude coordinate in the initial set of latitude and longitude coordinates is a predetermined weight value.
7. The method of claim 1, wherein determining the calibration coordinates of the base station based on the class coordinates and the weight values of the class coordinate weights corresponding to the class coordinates comprises:
and comparing the class coordinate weights, and taking the class coordinate with the highest weight value as the calibration coordinate of the base station.
8. The method according to claim 7, wherein comparing the class coordinate weights, and using the class coordinate with the highest weight value as the calibration coordinate of the base station comprises:
screening is carried out based on a preset weight ratio threshold, a class coordinate with the highest weight value in class coordinates with the weight ratio larger than the preset weight ratio threshold is taken as a calibration coordinate of the base station, and the weight ratio of the class coordinate is as follows: class coordinate weight/total weight of all class coordinates.
9. The method according to claim 7 or 8, wherein the comparing the class coordinate weights, and taking the class coordinate with the highest weight value as the calibration coordinate of the base station comprises:
and outputting an error prompt when the class coordinate with the highest weight value is a plurality of class coordinates with the same weight.
10. A system for calibrating coordinates of a base station, the system comprising:
the mobile terminal comprises a data acquisition module, a data processing module and a control module, wherein the data acquisition module is used for acquiring longitude and latitude coordinates of a plurality of different mobile terminals and mark information of a base station to which the mobile terminals are connected;
the data screening module is used for selecting a longitude and latitude coordinate set used for calculating a calibration coordinate of the base station from longitude and latitude coordinates of the mobile terminal connected to the same base station based on the marking information of the base station to which the mobile terminal is connected;
the clustering calculation module is used for clustering all longitude and latitude coordinates in the longitude and latitude coordinate set according to the intervals among different longitude and latitude coordinates, and calculating class coordinates corresponding to each class of longitude and latitude coordinates and weight values of class coordinate weights corresponding to the class coordinates; classifying longitude and latitude coordinates with the distance less than or equal to a preset distance threshold into one category;
the calculating of the class coordinate corresponding to each class of longitude and latitude coordinates comprises the following steps:
selecting two longitude and latitude coordinates with the minimum distance in the longitude and latitude coordinate set;
judging whether the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold value or not;
when the distance between the two longitude and latitude coordinates is smaller than or equal to the preset distance threshold value, replacing the two longitude and latitude coordinates with the longitude and latitude coordinates of the central point of the two longitude and latitude coordinates to generate a new longitude and latitude coordinate set;
repeating the steps until the distance between any two longitude and latitude coordinates in the generated longitude and latitude coordinate set is larger than the preset distance threshold;
taking the longitude and latitude coordinates in the finally generated longitude and latitude coordinate set as the class coordinates;
and the base station coordinate calibration module is used for determining the calibration coordinate of the base station based on the class coordinate and the weight value of the class coordinate weight corresponding to the class coordinate.
11. A computer readable medium having computer readable instructions stored thereon which are executable by a processor to implement the method of any one of claims 1 to 9.
12. A device for information processing at an accessing device, the device comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the device to perform the method of any of claims 1 to 9.
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| CN113207170B (en) * | 2021-03-26 | 2022-08-19 | 福建新大陆软件工程有限公司 | Position fusion correction method based on multi-source signaling |
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