Base station latitude and longitude engineering parameter abnormity identification method, medium and equipment

Abstract

The invention discloses a base station latitude and longitude engineering parameter abnormity identification method, a medium and equipment, and the method comprises the following steps: carrying out the standardization management of to-be-verified base station engineering parameter data, and associating the latitude and longitude information of a base station with the positioning data of a network map SDK (Software Development Kit); comparing the original address information of the work parameters of the base station with latitude and longitude address information obtained through a map, and selecting the base station with abnormal information; acquiring base station information attached to a current network mobile entity, and sequentially constructing time sequence data according to attachment time; identifying adjacent base stations according to the time sequence data to form an adjacent base station list, and identifying adjacent base stations with abnormal distances; and for the two types of base stations with abnormal information, identifying the base stations with abnormal longitude and latitude information by adopting a triangular filtering algorithm according to the time sequence data. According to the method, the base stations with abnormal longitude and latitude engineering parameters in the whole network can be quickly found out, the manual workload is reduced, the efficiency is greatly improved, the network optimization work is supported, the information communication quality is improved, and cost reduction and efficiency improvement are realized.

Description

Technical Field

[0001] The present invention relates to the field of information and communication technologies, and particularly relates to a method, a medium, and a device for identifying abnormal longitude and latitude engineering parameters of a base station. Background Art

[0002] During the construction of a base station, the maintenance of the longitude and latitude parameters of the base station mainly relies on manual measurement, collection, and management. Errors in information such as longitude and latitude caused by timeliness, cost investment, and human subjective factors are inevitable. In addition, after the completion of the base station construction, due to changes in the external environment, human factors leading to base station relocation, re-planning and adjustment, etc., the information has not been corrected and updated in time, resulting in inconsistencies between the actual engineering parameters of the base station and the original plan and records.

[0003] The inaccuracy of the base station engineering parameters will affect the signal coverage quality of the communication network, the signal interference between base stations, resulting in problems such as unbalanced communication traffic, decreased network rate, increased network construction and optimization costs, and poor user communication experience. And the problem of inaccurate engineering parameters of the base station, especially the longitude and latitude parameters, has been difficult to verify in the past. It often can only be carried out through large-scale manual inspections. The inspection personnel carry professional equipment to the base station site one by one for measurement and calibration. This method is not only time-consuming and laborious, but also inefficient, and it is difficult to complete the verification work of a large number of base stations in a short time. In addition, manual inspections are easily restricted by natural conditions such as weather and terrain, further increasing the difficulty of verification. Summary of the Invention

[0004] In order to solve the above technical problems, the purpose of the present invention is to provide a method for identifying abnormal longitude and latitude engineering parameters of a base station, which can quickly find out the base stations with abnormal longitude and latitude engineering parameters in the whole network, support network optimization work, and improve information and communication quality.

[0005] In a first aspect, an embodiment of the present application provides a method for identifying abnormal longitude and latitude engineering parameters of a base station, including the following steps:

[0006] Perform standardized governance on the base station engineering parameter data to be verified, associate the longitude and latitude information of the base station with the positioning data of the network map SDK to obtain the address information corresponding to the longitude and latitude;

[0007] Compare the original address information of the base station engineering parameters with the longitude and latitude address information obtained through the map, and screen according to a specific area range to select the base stations with abnormal information;

[0008] Obtain the base station information attached to the existing network mobile entity, including the identifier of the mobile entity, the CGI of the base station engineering parameters attached by the entity, the attachment time, etc., and construct time-series data with the attachment time as the chronological reference;

[0009] Identify adjacent base stations based on time-series data, form a list of adjacent base stations, calculate the median spatial distance between all adjacent base stations, and identify adjacent base stations with abnormal distances;

[0010] For the above two types of information-abnormal base stations, based on time-series data, use the triangular filtering algorithm to identify base stations with abnormal longitude and latitude.

[0011] Preferably, standardize the base station engineering parameter data to be verified, including the CGI coding format, longitude and latitude format, address information, etc. of the base station, screen out base stations lacking the above information, and adjust the above formats to a standardized and unified format for easy identification and marking by computer software. Split the address information into provinces, cities, county districts, and towns / streets.

[0012] Preferably, associate the longitude and latitude information of the base station with the positioning data of the network map SDK to identify the address information such as the province and city where the longitude and latitude information is located.

[0013] Preferably, compare the original address information of the base station engineering parameters with the longitude and latitude address information obtained through the map, and screen according to a specific area range to select base stations with abnormal information. It means comparing the original registered address information such as provinces, cities, districts, and counties of the base station with the corresponding province, city, and county address information identified by its longitude and latitude in the map SDK, and making a hierarchical comparison of provinces, cities, districts, and counties according to the administrative level to find inconsistent information, and marking the administrative region levels where the province, city, district, and county of the base station address information are inconsistent.

[0014] Preferably, obtain the base station information attached to the mobile entities in the current network. The mobile entity refers to a device that can attach to a base station to achieve a signal network connection and can be recognized in the communication network, including but not limited to technical personnel responsible for base station construction, testing, maintenance, and inspection, who hold communication test equipment, mobile phone terminals, etc.

[0015] Preferably, obtain the base station information attached to the mobile entities in the current network, including but not limited to the identification information of the network entity, such as the device IMEI code, etc., the attached base station information, such as CGI information, the attachment time, and other information.

[0016] Preferably, during the movement of the network entity, it will successively attach to different base stations and form attachment information with time information, which is called "time-series data of attached base stations".

[0017] Preferably, for the time-series data formed by the attachment of the network entity to the base station, generate structured time-series data sorted by time according to the network entity identifier and the base station identifier. The data includes but not limited to base station identifier information, network entity information, attachment time information, longitude and latitude information of the base station, spatial geographical location information of the base station, etc.

[0018] Preferably, adjacent base stations refer to the situation where a network entity attaches to different base stations during movement. For two specific base stations, if the same network entity attaches to these two base stations successively and generates "sequential data", then these two base stations are considered adjacent base stations.

[0019] Preferably, calculate the median spatial distance between all adjacent base stations, and identify those where the distance between adjacent base stations is greater than twice or more the median spatial distance between all adjacent base stations. Mark such base stations as adjacent base stations with abnormal distances.

[0020] Preferably, during the movement of a network entity, it continuously attaches to base stations. Connecting the location points of the base stations to which the network entity has attached in the order of attachment time is the movement trajectory of the network entity.

[0021] Preferably, during the process of a network entity continuously attaching to base stations, if the longitude and latitude of a base station are incorrect, the trajectory of the network entity attaching to this base station with abnormal longitude and latitude will show a spur phenomenon, forming a very small angle with the trajectories of the front and rear base stations and combining into a triangle with a very long side length. The method of identifying this abnormal angle is called the "triangle filtering algorithm".

[0022] In a second aspect, an embodiment of the present invention provides a non-transitory tangible storage medium storing computer-executable instructions. When the computer-executable instructions are run by a computer, they execute the above-mentioned method for identifying abnormal engineering parameters of the longitude and latitude of base stations.

[0023] In a third aspect, an embodiment of the present invention provides a device for identifying abnormal engineering parameters of the longitude and latitude of base stations, including:

[0024] At least one processor; and at least one memory, wherein the at least one memory stores computer-executable code, and when the computer-executable code is run by the at least one processor, it executes the above-mentioned method for identifying abnormal engineering parameters of the longitude and latitude of base stations.

[0025] The above-mentioned at least one technical solution adopted in the embodiments of this specification can achieve the following beneficial effects:

[0026] It can quickly find out the base stations with abnormal longitude and latitude engineering parameters in the whole network, reduce the manual workload, greatly improve the efficiency, support network optimization work, improve the information communication quality, and achieve cost reduction and efficiency increase. Description of the Drawings

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings required for the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0028] Figure 1 It is a flowchart of a method for identifying abnormal longitude and latitude engineering parameters of a base station according to the present invention.

[0029] Figure 2 It is a schematic diagram of the connection lines between base station A and the front and rear base stations O and B. Specific embodiments

[0030] The following will describe each preferred embodiment of the present invention with reference to the accompanying drawings. The following description with reference to the accompanying drawings is provided to assist in understanding the exemplary embodiments of the present invention defined by the claims and their equivalents. It includes various specific details for the purpose of assistance in understanding, but they are only to be regarded as exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present invention. Moreover, in order to make the specification more clear and concise, the detailed descriptions of well-known functions and configurations in the art will be omitted.

[0031] Please refer to Figure 1 As shown, this embodiment provides a method for identifying abnormal longitude and latitude engineering parameters of a base station. Staff can prepare a server for data processing and calculation, software for data standardization processing, and network map software.

[0032] First, standardize and manage the base station engineering parameter data to be verified, including CGI coding format, longitude and latitude format, address information, etc., to ensure the unified and complete format of the base station engineering parameters, screen out the base stations with missing information, and adjust the above formats to a standardized and unified format for easy identification and marking by computer software, and split the original registered address information of the base station into provinces, cities, counties, districts, and towns / streets.

[0033] Then, using the longitude and latitude information of the base station as query parameters, call the query interface of the network map software to obtain the address information of the province, city, county, and district corresponding to the longitude and latitude. Compare the original recorded address information of the base station engineering parameters with the address information obtained from the network map through the longitude and latitude level by level from high to low, such as whether they are consistent at the provincial, municipal, district, and county levels, and mark the administrative region levels where the province, city, county, and district of the base station address information are inconsistent. In the actual implementation process, the base stations with inconsistent information at the city level can be screened out. Such base stations may have incorrect original registered address information or incorrect registered longitude and latitude engineering parameters, so they need to be listed as key objects to be identified and verified.

[0034] Obtain the base station information to which the mobile entity in the existing network is attached, including but not limited to the identification information of the network entity, such as the device IMEI code, etc., the attached base station information, such as CGI information, the attachment time, and other information.

[0035] Then, for the time-series data formed by the network entity attaching to the base station, respectively construct structured time-series data with time in sequence according to the network entity identifier and the base station identifier. The data includes but not limited to base station identifier information, network entity information, attachment time information, longitude and latitude information of the base station, spatial geographical location information of the base station, etc.

[0036] Identify adjacent base stations based on the time-series data, and calculate the median distance between all adjacent base stations. Identify adjacent base stations whose distance is greater than twice or more of the median spatial distance between all adjacent base stations.

[0037] For base stations with abnormal address information and adjacent base stations with abnormal distances, use the triangular filtering algorithm. According to the time-series data, calculate the angles formed with the trajectories of the front and rear base stations, and find the base stations with particularly small angles (such as less than 10° or smaller). Then it is considered that the longitude and latitude engineering parameters of this base station are abnormal.

[0038] To better illustrate adjacent base stations and the triangular filtering algorithm, as Figure 2 shown, there are base stations with codes O, A, B, C, D, E, and F. According to their geographical location information, they are respectively set as point O, point A, point B, point C, point D, point E, and point F in the longitude and latitude coordinate system:

[0039] O(X o , Y o ); A(X a , Y a ); B(X b , Y b ); C(X c , Y c ); D(X d , Y d ); E(X e , Y e ); F(X f , Y f );

[0040] Adjacent base stations refer to the situation where a network entity, during the movement process, will switch and attach to different base stations. For two certain base stations, if there are base stations to which the same network entity attaches successively and generates time-series data, then these two base stations are considered adjacent base stations. As shown in the figure, there is a network entity. Through the time-series data formed by the network entity attaching to base stations, it can be found that it switches from attaching to base station O to base station A, or from attaching to base station O to base station E, or from attaching to base station O to base station F. It can be preliminarily judged that the adjacent base stations of base station O are A, E, and F.

[0041] Therefore, in the specific implementation process, according to the longitude and latitude parameters, the distances between base station O and its adjacent base stations A, E, and F can be calculated as follows:

[0042]

[0043] Generally speaking, in terms of spatial distance, the spatial distance between adjacent base stations should be within a reasonable range (the distance should not be too large) in order to achieve seamless handover of mobile terminals and ensure communication quality. Assuming that the longitude and latitude engineering parameter information of most base stations of basic telecommunications operators is accurate, then the median distance between adjacent base stations can be calculated and used as the reasonable spatial distance between adjacent base stations. From Figure 2 As shown, similarly, it can be inferred that the adjacent base stations of base station A are O, B, and F. Therefore, through time-series data, the distances between all base stations and their adjacent base stations are calculated:

[0044]

[0045] In the specific implementation process, adjacent base station identification can be performed on all base stations in the existing network, the distances between adjacent base stations are calculated, and the median distance between adjacent base stations is calculated to be used as the basic index for identifying abnormal base stations. The calculation process is as follows:

[0046] d(1), d(2), …, d(n) = sort(d1, d2, …, dn)

[0047] Among them, sort means sorting in non-decreasing order, d(i) represents the i-th number after sorting, and M is defined as the median, then:

[0048]

[0049] After calculation, the median distance between adjacent base stations is 455 meters.

[0050] During the movement process, the network entity will continuously attach to base stations. Connecting the position points of the base stations to which the network entity has attached in the order of attachment time is the movement trajectory of the network entity. As Figure 2As shown in the figure, a network entity starts from the attachment base station O, then attaches to base station A, then to base station B, then from base station B to base station C, and finally to base station D. Therefore, the movement trajectory of the network entity is O→A→B→C→D, which is and

[0051] In the specific implementation process, if the longitude and latitude of a base station are wrong, the trajectory of the network entity attached to the base station with abnormal longitude and latitude will most likely show a spike phenomenon, forming a very small angle with the trajectories of the previous and next base stations, forming a triangle with very long sides. The method of identifying this abnormal angle is called the "triangle filtering algorithm."

[0052] like Figure 2 As shown, the angle formed by the connection line (trajectory) between base station A and the front and rear base stations O and B is ∠OAB, the angle formed by the connection line between base station B and the front and rear base stations B and C is ∠ABC, and the angle formed by the connection line between base station C and the front and rear base stations B and D is ∠BCD.

[0053] By using vector arithmetic, ∠OAB, ∠ABC, and ∠BCD can be calculated as follows:

[0054]

[0055] In the specific implementation process, the anomaly identification is performed by calculating the angle formed by the base station and the front and rear base stations. After actual engineering measurements, the angle of 10 degrees or less can better identify the base stations with abnormal longitude and latitude. Figure 2 As shown in FIG. 1 , when the longitude and latitude of base station B are abnormal, the angle ∠ABC formed by it and the base stations before and after it is much sharper than that of base stations with normal longitude and latitude.

[0056] During the specific implementation process, base station construction and maintenance personnel can carry necessary testing tools to review and survey the abnormal base stations identified by the above method to confirm the abnormality of the latitude and longitude engineering parameters of the base station.

[0057] In addition, an embodiment of the present invention further provides a non-volatile tangible storage medium having computer executable instructions stored thereon, and when the computer program product is run on a terminal device, the terminal device can implement the method for identifying abnormalities in the latitude and longitude engineering parameters of the base station in the above embodiment when executing the computer program product.

[0058] An embodiment of the present invention also provides a device for identifying anomalies in the latitude and longitude engineering parameters of a base station, comprising: a processor and a memory, wherein the memory stores computer executable code, and when the computer executable code is executed by the processor, it can implement the method for identifying anomalies in the latitude and longitude engineering parameters of the base station in the above embodiment.

[0059] Finally, it should also be noted that the above series of processes include not only the processes executed in a time series in the order described herein, but also the processes executed in parallel or separately, rather than in chronological order.

[0060] Through the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented by means of software plus a necessary hardware platform. Based on such an understanding, all or part of the technical solution of the present invention that contributes to the background art can be embodied in the form of a software product. The computer software product can be stored in a storage medium such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present invention.

[0061] The present invention has been introduced in detail above. Specific examples are used herein to elaborate on the principle and implementation manner of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those of ordinary skill in the art, according to the idea of the present invention, there will be changes in the specific implementation manner and application scope. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A method for identifying abnormal engineering parameters of the longitude and latitude of a base station, characterized in that, It includes the following steps: 1) Standardize and manage the base station engineering parameter data to be verified; 2) Associate the longitude and latitude information of the base station with the positioning data of the network map SDK to obtain the address information corresponding to the longitude and latitude; Compare the original address information of the base station engineering parameters with the longitude and latitude address information obtained through the map, and screen according to a specific regional range to select the base stations with abnormal information; Obtain the base station information attached by the mobile entities in the current network, and construct time-series data with reference to the attachment time sequence; Identify adjacent base stations based on the time-series data, form a list of adjacent base stations, calculate the median spatial distance between all adjacent base stations, and identify the adjacent base stations with abnormal distances; 3) For the above two types of base stations with abnormal information, based on the time-series data, use the triangular filtering algorithm to identify the base stations with abnormal longitude and latitude information.

2. The method according to claim 1, wherein The base station information includes the identifier of the mobile entity, the CGI of the base station engineering parameters attached by the entity, and the attachment time.

3. The method according to claim 2, wherein The specific steps for standardizing and managing the base station engineering parameter data to be verified in step 1) are as follows: Screen out the base stations with missing CGI encoding format, longitude and latitude format, and address information of the base station, and adjust the format to a standardized and unified format for easy identification and marking by computer software. Split the address information into province, city, county / district, and town / street.

4. The method according to claim 3, wherein The association of the longitude and latitude information of the base station with the positioning data of the network map SDK in step 2) means identifying the address information of the province, city, county, and district where the longitude and latitude information is located.

5. The method according to claim 4, wherein The screening in step 2) specifically includes the following steps: Compare the original registered province, city, county, and district address information of the base station with the corresponding province, city, and county address information identified by the longitude and latitude in the map SDK at the provincial, municipal, and county levels according to the administrative level, find the inconsistent information, and mark the administrative region levels of the province, city, and county where the base station address information is inconsistent.

6. The method according to claim 5, wherein The mobile entity refers to a device that realizes signal network connection by attaching to a base station and can be identified in the communication network.

7. The method according to claim 6, wherein The base station information attached by the mobile entities in the current network includes, but is not limited to, the identifier information of the network entity, the attached base station information, and the attachment time.

8. The method according to claim 7, wherein The specific steps for identification in step 2) are as follows: Identify the base stations where the distance between adjacent base stations is greater than or equal to 2 times the median spatial distance between all adjacent base stations, and mark these base stations as adjacent base stations with abnormal distances. During the movement of the network entity, it will continuously attach to base stations. Connect the position points of the base stations attached by the network entity according to the attachment time sequence, which is the movement trajectory of the network entity.

9. A non-transitory tangible storage medium storing computer-executable instructions, wherein the computer-executable instructions, when executed by a computer, cause the computer to execute the method according to any one of claims 1 to 8.

10. An abnormal recognition device for the longitude and latitude engineering parameters of a base station, characterized in that, It includes: At least one processor; And at least one memory, wherein the at least one memory stores computer-executable code, and the computer-executable code, when run by the at least one processor, executes the method according to any one of claims 1 to 8.

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