CN110769452A - Method, system, server and storage medium for identifying longitude and latitude abnormity of base station - Google Patents

Method, system, server and storage medium for identifying longitude and latitude abnormity of base station Download PDF

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CN110769452A
CN110769452A CN201911046554.4A CN201911046554A CN110769452A CN 110769452 A CN110769452 A CN 110769452A CN 201911046554 A CN201911046554 A CN 201911046554A CN 110769452 A CN110769452 A CN 110769452A
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base station
terminal
latitude
longitude
detected
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CN110769452B (en
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钟湘飞
林昀
胡永禄
黄安平
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Beijing Hongshan Information Technology Research Institute Co Ltd
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Beijing Hongshan Information Technology Research Institute Co Ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/04—Arrangements for maintaining operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/003—Locating users or terminals or network equipment for network management purposes, e.g. mobility management locating network equipment
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W88/00—Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/08—Access point devices
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The invention discloses a method for identifying longitude and latitude abnormity of a base station, which comprises the following steps: acquiring CDR data of a terminal communicating with a base station to be tested; acquiring the position parameters of the base station to be detected; judging whether the linear distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters; and if so, judging that the longitude and latitude of the base station to be detected are abnormal. The invention also provides a system for identifying the longitude and latitude abnormity of the base station, a server and a storage medium.

Description

Method, system, server and storage medium for identifying longitude and latitude abnormity of base station
Technical Field
The embodiment of the invention relates to the technical field of mobile communication, in particular to a method, a system, a server and a storage medium for identifying longitude and latitude abnormity of a base station.
Background
With the arrival of 5G, the number of base stations for operation and maintenance of an operator is greatly increased, and not only 2G/3G/4G sites need to be operated and maintained at the same time, but also newly-built 5G sites need to be maintained, and the density of the 5G sites is denser than that of the 4G sites, so that the number of sites which the operator needs to maintain is multiplied.
The base station can be periodically surveyed in the operation and maintenance process of the base station, the longitude and latitude, the azimuth angle and other information of the base station are rechecked, and inaccurate information is updated and corrected. Doing so requires a lot of resources that are invested regularly. In practice, there may be tens or twenty percent more inaccurate base station information, and all stations have to be rechecked in their entirety because these inaccurate base stations cannot be identified. Especially, the number of stations of an operator is large, one province often saves ten thousands of stations, and the information of all stations is checked, so that resources are wasted, the period is long, the resources are wasted, and the period is long.
The invention provides a base station longitude and latitude abnormity identification method based on big data, which can find out a base station with wrong longitude and latitude through data analysis, perform targeted check and achieve the effects of improving maintenance efficiency and saving resources.
Disclosure of Invention
The invention provides a method for identifying the longitude and latitude abnormity of a base station, which realizes the effect of finding out the base station with wrong longitude and latitude through data analysis.
In a first aspect, an embodiment of the present invention provides a method for identifying a longitude and latitude abnormality of a base station, including:
acquiring CDR data of a terminal communicating with a base station to be tested;
acquiring the position parameters of the base station to be detected;
judging whether the linear distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters;
and if so, judging that the longitude and latitude of the base station to be detected are abnormal.
In a second aspect, an embodiment of the present invention further provides a system for identifying longitude and latitude abnormality of a base station, including:
the first acquisition module is used for acquiring CDR data of a terminal which is communicated with a base station to be detected;
the second acquisition module is used for acquiring the position parameters of the base station to be detected;
the first judgment module is used for judging whether the linear distance between the terminal and the base station to be detected is greater than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters;
and the abnormity judgment module judges that the longitude and latitude of the base station to be detected are abnormal if the longitude and latitude of the base station to be detected is larger than the longitude and latitude of the base station to be detected.
In a third aspect, an embodiment of the present invention further provides a server, including a memory, a processor, and a program stored in the memory and executable on the processor, where the processor executes the program to implement any one of the above methods for identifying latitude and longitude anomalies in a base station.
In a fourth aspect, an embodiment of the present invention further provides a terminal readable storage medium, where a program is stored, and when the program is executed by a processor, the method for identifying a longitude and latitude abnormality of a base station may be implemented as any one of the above methods.
According to the invention, through comparing whether the linear distance between the terminal and the base station to be detected is greater than the signal transmission distance between the terminal and the base station to be detected, if so, the longitude and latitude of the base station to be detected are judged to be abnormal, so that the base station to be detected with abnormal position can be accurately positioned in the base station maintenance process, the maintenance efficiency is improved, and the resources are saved.
Drawings
Fig. 1 is a flowchart of a base station latitude and longitude abnormality identification method in an embodiment of the present invention.
Fig. 2 is a flowchart of a base station latitude and longitude abnormality identification method in the second embodiment of the present invention.
Fig. 3 is a flowchart of a base station longitude and latitude abnormality identification method in the third embodiment of the present invention.
Fig. 4 is a flowchart of a base station longitude and latitude abnormality identification method in an alternative embodiment of the third embodiment of the present invention.
Fig. 5 is a flowchart of a base station longitude and latitude abnormality identification method in an alternative embodiment of the third embodiment of the present invention.
Fig. 6 is a flowchart of a base station longitude and latitude abnormality identification method in the fourth embodiment of the present invention.
Fig. 7 is a block diagram of a base station latitude and longitude abnormality identification system according to a fifth embodiment of the present invention.
Fig. 8 is a block diagram of a base station latitude and longitude abnormality identification system according to an alternative embodiment of the fifth embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a server according to a sixth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, the first preset threshold may be the second preset threshold, and similarly, the second preset threshold may be the first preset threshold, without departing from the scope of the present application. The first preset threshold and the second preset threshold are both preset thresholds used in the positioning process of the base station, but are not the same preset threshold. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "plurality", "batch" means at least two, e.g., two, three, etc., unless specifically limited otherwise.
Example one
Fig. 1 is a flowchart of a method for identifying longitude and latitude abnormality of a base station according to an embodiment of the present invention, which specifically includes the following steps:
s101, CDR data of a terminal communicating with a base station to be tested are obtained.
In this step, the CDR data refers to call Detail Record, which is a Record of a single data communication service of a user in a mobile network, and is formed by integrating signaling related to the event in each interface, so as to evaluate network performance and support marketing. The CDR data contains information of a large number of communication terminals, and can be easily located to users and terminals according to a desired problem, and perform data analysis. In the invention, whether the longitude and latitude positioning abnormality occurs in the base station to be detected needs to be detected, so the CDR data refers to the communication information between the terminal and the base station to be detected and is used for positioning the terminal.
The mobile base station acquires information such as MR, CDR, AGPS and the like reported by mass mobile users, and can accurately position the user position by combining working parameter information such as longitude and latitude of the base station, and conversely, whether the longitude and latitude of the base station are accurate can be reversely deduced by utilizing the information such as AGPS, TA and the like reported by the mobile users.
AGPS (Assisted GPS) is based on GPS positioning, and uses a mobile communication base station for positioning and a network for data transmission. In short, it uses the GPS chip of the device and the mobile phone network to achieve positioning. Nowadays, AGPS has been widely applied to mobile terminal devices, and CDR data reported by a terminal includes AGPS information. The TA is timing advance, which refers to the initial access advance in this step, and represents the information transmission delay from the base station to the terminal.
And S102, acquiring the position parameters of the base station to be detected.
The working parameters are generated in the working process of the base station to be tested, and the position parameters, namely the longitude and latitude information, of the base station to be tested can be obtained from the working parameters.
S103, judging whether the linear distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters.
In the step, the linear distance between the terminal and the base station to be measured and the signal transmission distance between the terminal and the base station to be measured can be measured through the data obtained in the step. In the actual signal transmission process, due to the blockage of a building, electromagnetic waves need to reach the terminal through paths such as reflection and diffraction, so that the actual signal transmission distance is not the linear distance between the base station and the terminal and is necessarily greater than or equal to the linear distance.
And S104, if the linear distance between the base station to be detected and the terminal is greater than the transmission distance of the actual signal, judging that the longitude and latitude of the base station to be detected are abnormal.
In this step, if the linear distance between the terminal and the base station to be measured is greater than the signal transmission distance between the terminal and the base station to be measured, it indicates that at least one of the terminal and the base station to be measured has abnormal position information. And on the premise of determining that the longitude and latitude of the terminal are correct, the abnormity of the longitude and latitude of the base station to be detected can be judged. If not, the longitude and latitude of the base station to be detected are judged to be normal.
In this embodiment, it is determined whether a linear distance between the terminal and the base station to be detected is greater than a signal transmission distance between the terminal and the base station to be detected, and if so, it indicates that the longitude and latitude of the base station are abnormal.
Example two
Fig. 2 is a flowchart of a method for identifying longitude and latitude anomalies of a base station according to a second embodiment of the present invention, where on the basis of the above embodiment, when determining the longitude and latitude of a base station to be detected, multiple mobile terminals communicating with the base station to be detected are selected for multiple determinations to increase the accuracy of the longitude and latitude determination, and the specific steps are as follows:
s201, CDR data of a terminal communicating with a base station to be tested are obtained.
In this step, in order to increase the accuracy of longitude and latitude determination, it is necessary to acquire a plurality of pieces of terminal information communicated with the base station to be measured, as shown in the figure, first, CDR data reported by the terminal is acquired from a network data acquisition node in an area to be measured, and this data is accessed into a big data processing cluster for calculation processing through an SFTP transmission protocol, and a plurality of pieces of acquired CDR data of the terminal are acquired.
Illustratively, a plurality of CDR data within a preset time threshold, e.g. within a week, is extracted from the operator data collection node. In actual operation, CDR data generally includes fields of cdr.enodebid, ac.cellid, ac.mr.ltesctadv, ac.longitude, ac.latitude, etc., and the field names parsed by the operators are slightly different, so as to ensure that information including base station ID (i.e., cdr.enodebid), cell ID (i.e., ac.cellid), initial access time advance (i.e., ac.mr.ltesctadv), and latitude and longitude of terminal access time (i.e., ac.longitude/ac.latitude) is included.
S202, obtaining the position parameters of the base station to be measured.
S203, judging whether the linear distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters.
If the longitude and latitude of the base station to be detected is not greater than the preset longitude and latitude, executing the step S204, and if the longitude and latitude of the base station to be detected is not greater than the preset longitude and latitude, judging that the longitude and latitude of the base station to be detected is normal.
And S204, recording the times that the linear distance is greater than the signal transmission distance, and judging whether the times exceed a first preset threshold value.
In this step, the CDR data reported by each terminal needs to be calculated once. The plurality of CDR data acquired in step S201 each need to be calculated once, and a plurality of determination results are obtained. Because the CDR data of the terminal may also be abnormal, when the number of times that the straight-line distance is greater than the signal transmission distance exceeds the first preset threshold, it is determined that the longitude and latitude of the base station to be measured are abnormal. The first preset threshold value can be dynamically adjusted according to the actually acquired CDR data size.
The step fully utilizes the characteristic of large data volume in a big data environment, and repeatedly confirms whether the position of the same base station is abnormal or not through a plurality of pieces of reported CDR data, so that the accuracy of judgment can be greatly improved.
And S205, if the longitude and latitude of the base station to be detected are exceeded, judging that the longitude and latitude of the base station to be detected are abnormal.
And if not, judging that the longitude and latitude of the base station to be detected are normal.
In the embodiment, when the longitude and latitude of the base station to be detected are judged, a plurality of mobile terminals communicating with the base station to be detected are selected for judgment for a plurality of times, so that the accuracy of the longitude and latitude judgment is improved.
EXAMPLE III
As shown in fig. 3, this embodiment provides a flowchart of a method for identifying latitude and longitude anomalies of a base station, and on the basis of the above embodiment, data filtering and screening are added to a plurality of acquired CDR data of a plurality of terminals to remove CDR data that does not meet requirements, and the specific steps are as follows:
s301, CDR data of a terminal communicating with the base station to be tested are obtained.
S3010, judging whether the CDR data comprises the ID of the base station to be detected, the transmission delay from the terminal to the base station to be detected and the latitude and longitude of the terminal.
After the CDR data is acquired, the data source needs to be cleaned and filtered, specifically, each piece of CDR data reported by the terminal does not include AGPS information, and the reported CDR data only includes AGPS longitude and latitude information if it meets certain scene conditions (the UE terminal starts the AGPS function and is using a position location service at the reporting time, such as a hundred degree map, a mei-qu, etc.).
S3011, if not, deleting the CDR data.
S3012, if yes, storing CDR data.
S302, obtaining the position parameters of the base station to be measured.
And S303, judging whether the linear distance between the terminal and the base station to be detected is greater than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters.
And S304, if the longitude and latitude of the base station to be detected is larger than the preset longitude and latitude, judging that the longitude and latitude of the base station to be detected is abnormal.
If not, the longitude and latitude of the base station to be detected are judged to be normal.
As shown in fig. 4, in an alternative embodiment, after step S3012, the method further includes:
s3013, judging whether the number of the CDR data acquired in the first time interval exceeds a second preset threshold value.
In this step, since the user does not always start the positioning function in the actual use process, there are many pieces of data in the reported CDR data that do not contain AGPS longitude and latitude information, and the above steps S3010 to S3012 can implement filtering of data that do not contain AGPS longitude and latitude.
In actual operation, the data proportion of AGPS longitude and latitude information in CDR information generally reported by a terminal is between 0.5% and 5%, each province area is different, but the overall proportion of the AGPS longitude and latitude information contained in the reported CDR is lower. In the context of big data, it is feasible to select enough data from the total amount for analyzing the location of the base station by obtaining a large amount of CDR data reported by the terminal. Therefore, a step of judging whether the number of the acquired CDR data exceeds a second preset threshold value is added, wherein the value of the second preset threshold value is mutually influenced with the judgment times of the base station to be detected, and the second preset threshold value is used for enabling the times of judging the position of the base station to meet the quantity which can be judged.
S3014, if yes, the CDR data are saved.
S3015, if not, in the next first time interval period, the CDR data is acquired again.
In this step, if the valid CDR data acquired within a period of time is insufficient and cannot reach the second preset threshold, the CDR data needs to be acquired again. Optionally, in the next data acquisition cycle, the following steps may also be added: and prolonging the first time interval period until the number of the acquired CDR data exceeds a second preset threshold value.
S3016, judging whether the number of the acquired CDR data exceeds a second preset threshold value.
If not, step S3017 is executed, and if not, step S302 is executed.
S3017, repeating the steps until the number of the CDR data acquired in the first time interval exceeds a second preset threshold, and storing the CDR data.
In another alternative embodiment, as shown in fig. 5, after step S301, the method further includes:
s3018, clustering calculation is conducted on the CDR data.
In this step, since the positioning tool of the terminal may have positioning abnormality, which causes inaccuracy of AGPS information reported by the terminal, it is necessary to perform cluster calculation on the CDR data obtained in the above step. Clustering analysis, also known as cluster analysis, is a statistical analysis method for studying sample or index classification problems, and is also an important algorithm for data mining. Clustering (Cluster) analysis is composed of several patterns (patterns), which are typically vectors of a metric (measure) or a point in a multidimensional space. Cluster analysis is based on similarity, with more similarity between patterns in one cluster than between patterns not in the same cluster.
Specifically, in the embodiment of the present invention, the CDR data connected to the same base station is used as a category to perform cluster calculation, and the outlier data therein is filtered and removed. The purpose of this step is to eliminate the influence of abnormal positioning CDR data on the accuracy of base station latitude and longitude identification.
S3019, deleting the outlier CDR data in the clustering calculation.
Outlier CDR data refers to points in the CDR data sample that are inconsistent with the general behavior or characteristics of other sample points. In this embodiment, as shown in the figure, there may be a plurality of terminals connected to the same base station, and there are a plurality of CDR data, and the CDR data of the terminals connected to the same base station are clustered as one category.
On the basis of the above embodiment, the present embodiment adds data filtering and screening to the obtained multiple CDR data of multiple terminals, so as to remove the CDR data that does not meet the requirements, and eliminate the influence of the abnormal CDR data on the latitude and longitude determination of the base station.
Example four
As shown in fig. 6, a flowchart of a method for identifying longitude and latitude abnormality of a base station according to this embodiment is shown, and this embodiment provides a formula for calculating a linear distance between a terminal and a base station to be measured and a signal transmission distance between the terminal and the base station to be measured, and the specific steps are as follows:
s401, CDR data of a terminal communicating with a base station to be tested are obtained.
S402, obtaining the position parameters of the base station to be measured.
S4031, acquiring the longitude and latitude of the terminal from the CDR data, and acquiring the longitude and latitude of the base station to be detected from the position parameters.
As in the above embodiment, the AGPS information of the terminal is obtained from the CDR data, and the AGPS longitude and latitude of the terminal are obtained as CDR _ lon and CDR _ lat; and acquiring the longitude and latitude of the base station to be detected as lon and lat from the position parameters of the base station to be detected.
S4032, calculating the linear distance between the base station to be measured and the terminal based on the first preset formula.
The embodiment provides a formula for calculating a distance between a base station to be measured and a terminal, and specifically, according to the above steps, AGPS longitude and latitude of a UE reported by a CDR are CDR _ lon and CDR _ lat, and longitude and latitude of a base station in an industrial parameter are lon and lat, in an actual operation, a first preset formula for calculating a linear distance between the base station to be measured and the terminal is obtained according to a calculation formula for a distance between two points on the earth surface, as follows:
straight-line distance between base station to be measured and terminal
＝(6378137.0*ACOS(SIN(CDR_Lat/180*PI)*SIN(Lat/180*PI)+COS(CDR_Lat/180*PI)*COS(Lat/180*PI)*COS((CDR_lon-lon)/180*PI)))
Wherein 6378137.0 is the radius of the earth in meters, PI is the mathematical circumferential ratio PI, and the distance calculated by the first predetermined formula in this step is in meters.
S4033, acquiring transmission delay from the CDR data.
The transmission delay TA in this step is Timing Advance, time Advance, in mobile communication, a signal is delayed in spatial transmission, if a mobile terminal moves away from a base station during a call, a signal sent from the base station reaches a mobile station "later" and at the same time, a signal of the mobile station also reaches the base station "later", and an excessively long delay causes a signal received by the base station in the current time slot to overlap with a time slot in which the base station receives a signal of another mobile station next, causing inter-code interference, so that a measurement report header sent by the mobile station to the base station carries a time delay value measured by the mobile station during the call, and the base station must monitor the time of call arrival and send an instruction to the mobile station at a frequency of 480ms once on a downlink channel to indicate the time of mobile station sending in Advance. TA represents the transmission time delay from the terminal to the base station to be measured, and the distance between the terminal and the base station to be measured can be calculated by multiplying the propagation speed of the electromagnetic wave by the time delay.
And S4034, calculating the signal transmission distance between the base station to be measured and the terminal based on a second preset formula.
In this embodiment, an FDD LTE network is taken as an example, in a random access process of LTE, a value range of TA is 0 to 1282, a time delay corresponding to one TA is 16 Ts, which is the most basic time unit of LTE, and Ts is 1/(15000 × 2048) seconds. Meanwhile, the signal transmission distance in this step is a single pass of the transmission between the base station to be measured and the terminal.
Thus, it is possible to provide
Figure BDA0002254274150000121
Figure BDA0002254274150000122
The second predetermined formula is: the signal transmission distance between the base station to be measured and the terminal is TA multiplied by 78.12, and the unit is meter.
It should be noted that the second predetermined formula in this step may be different calculation formulas according to the change of the mobile communication standard.
S4035, whether the straight line distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected is judged.
In this step, since there is a difference in calculation accuracy in the calculation process, the calculated distance has an error, and in order to reduce the erroneous determination, it is preferable to add a preset parameter as an error value in the determination process in this step, and set the allowable error of the linear distance as the preset parameter, that is, the range of the linear distance in consideration of the error as [ linear distance + preset parameter ]. Illustratively, the minimum accuracy of the transmission delay in the calculation process is 78.12 meters, which results in that an error that may exist within 78.12 meters exists in the calculated signal transmission distance between the base station to be measured and the terminal, and therefore the preset parameter is preferably 78.12 meters, then the determination process of the step is: and judging whether the linear distance between the terminal and the base station to be detected is greater than the signal transmission distance between the terminal and the base station to be detected by +78.12 meters. It should be noted that the preset parameters in this step of the present invention may have corresponding changes when the first preset formula and/or the second preset formula are changed, and have different value ranges in different embodiments.
And S404, if the longitude and latitude of the base station to be detected is larger than the preset longitude and latitude, judging that the longitude and latitude of the base station to be detected is abnormal.
If not, the longitude and latitude of the base station to be detected are judged to be normal.
The embodiment improves the accuracy of longitude and latitude discrimination by providing a distance calculation formula in the process of longitude and latitude discrimination.
EXAMPLE five
As shown in fig. 7, a fifth embodiment of the present invention provides a base station longitude and latitude abnormality identification system 5, including the following modules:
a first obtaining module 501, configured to obtain CDR data of a terminal communicating with a base station to be tested.
A second obtaining module 502, configured to obtain a position parameter of the base station to be detected.
The first determining module 503 is configured to determine whether a linear distance between the terminal and the base station to be detected is greater than a signal transmission distance between the terminal and the base station to be detected based on the CDR data and the position parameter.
And if the longitude and the latitude of the base station to be detected are larger than the preset value, the abnormity determining module 504 determines that the longitude and the latitude of the base station to be detected are abnormal.
As shown in fig. 8, in an alternative embodiment, the method further includes:
and a second judging module 505, configured to record the number of times that the linear distance is greater than or equal to the signal transmission distance, and judge whether the number of times exceeds a first preset threshold.
And an anomaly determination module 504, configured to determine that the longitude and latitude of the base station to be detected are abnormal if the longitude and latitude exceed the predetermined threshold.
In another alternative embodiment, further comprising:
the third determining module 506 is configured to determine whether the CDR data includes the ID of the base station to be detected, the transmission delay from the terminal to the base station to be detected, and the latitude and longitude of the terminal.
A deleting module 507, configured to delete the CDR data if the CDR data is not included.
A saving module 508, configured to save the CDR data if included.
In another alternative embodiment, further comprising:
a fourth determining module 509, configured to determine whether the number of CDR data acquired in the first time interval exceeds a second preset threshold.
A saving module 508, configured to save the CDR data if the CDR data exceeds the threshold value.
A third obtaining module 510, configured to, if not, obtain CDR data again in a next first time interval period.
A fourth determining module 509, configured to determine whether the number of the acquired CDR data exceeds a second preset threshold.
A saving module 508, configured to save the CDR data until the number of CDR data acquired in the first time interval exceeds a second preset threshold.
In another alternative embodiment, further comprising:
the cluster calculation module 511 performs cluster calculation on the CDR data.
And a deleting module 507, configured to delete the outlier CDR data in the clustering calculation.
In another alternative embodiment, the first determining module 503 includes:
a first obtaining unit 5031, configured to obtain the longitude and latitude of the terminal from the CDR data, and obtain the longitude and latitude of the base station to be detected from the location parameter.
The first calculating unit 5032 is configured to calculate a linear distance between the to-be-measured base station and the terminal based on a first preset formula.
A second obtaining unit 5033, configured to obtain the transmission delay from the CDR data.
A second calculating unit 5034, configured to calculate a signal transmission distance between the to-be-measured base station and the terminal based on a second preset formula.
A determining unit 5035, configured to determine whether a linear distance between the terminal and the base station to be tested is greater than a signal transmission distance between the terminal and the base station to be tested.
The base station longitude and latitude abnormity identification system of the embodiment can execute the base station longitude and latitude abnormity identification method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
EXAMPLE six
Fig. 9 is a schematic structural diagram of a server according to a sixth embodiment of the present invention, and as shown in fig. 9, the server includes a processor 601, a memory 602, an input device 603, and an output device 604; the number of the processors 601 in the server can be one or more, and one processor 601 is taken as an example in the figure; the processor 601, the memory 602, the input device 603 and the output device 604 in the device/terminal/server may be connected by a bus or other means, and fig. 9 illustrates the connection by a bus as an example.
The memory 602 is used as a computer-readable storage medium and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the theme update method in the embodiment of the present invention (for example, the first obtaining module 501, the second obtaining module 502, and the like in the above-described embodiment). The processor 601 executes various functional applications and data processing of the device/terminal/server by running software programs, instructions and modules stored in the memory 602, that is, the above-described base station longitude and latitude abnormality identification system is implemented.
The memory 602 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 602 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 602 may further include memory located remotely from the processor 601, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 603 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the apparatus/terminal/server. The output device 604 may include a display device such as a display screen.
The server in the embodiment of the invention finds out the base station with wrong longitude and latitude through data analysis and calculation, and performs targeted check, thereby achieving the effects of improving the overhaul efficiency and saving resources.
EXAMPLE seven
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for identifying longitude and latitude anomalies of a base station, where the method may include:
acquiring CDR data of a terminal communicating with a base station to be tested;
acquiring the position parameters of the base station to be detected;
judging whether the linear distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters;
and if so, judging that the longitude and latitude of the base station to be detected are abnormal.
The computer-readable storage media of embodiments of the invention may take any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a storage medium may be transmitted over any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or terminal. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for identifying longitude and latitude abnormality of a base station is characterized by comprising the following steps:
acquiring CDR data of a terminal communicating with a base station to be tested;
acquiring the position parameters of the base station to be detected;
judging whether the linear distance between the terminal and the base station to be detected is larger than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters;
and if so, judging that the longitude and latitude of the base station to be detected are abnormal.
2. The method of claim 1, wherein after determining whether the linear distance between the terminal and the base station is greater than the signal transmission distance between the terminal and the base station, the method further comprises:
recording the times that the linear distance is greater than the signal transmission distance, and judging whether the times exceed a first preset threshold value;
and if the longitude and latitude of the base station to be detected are beyond the preset range, judging that the longitude and latitude of the base station to be detected are abnormal.
3. The method of claim 1, wherein after the obtaining the CDR data of the terminal communicating with the base station to be tested, the method further comprises:
judging whether the CDR data comprises the ID of the base station to be tested, the transmission delay from the terminal to the base station to be tested and the latitude and longitude of the terminal;
if not, deleting the CDR data;
and if so, saving the CDR data.
4. The method of claim 3, wherein after storing the CDR data if the identification is included, the method further comprises:
judging whether the number of the CDR data acquired in a first time interval exceeds a second preset threshold value or not;
if yes, saving the CDR data;
if not, the CDR data are acquired again in the next first time interval period;
judging whether the number of the acquired CDR data exceeds a second preset threshold value or not;
and repeating the steps until the number of the CDR data acquired in the first time interval exceeds a second preset threshold value, and storing the CDR data.
5. The method of claim 3, wherein after the obtaining the CDR data of the terminal communicating with the base station to be tested, the method further comprises:
performing clustering calculation on the CDR data;
deleting outlier CDR data in the cluster calculation.
6. The method of claim 1, wherein the determining whether the linear distance between the terminal and the base station to be tested is greater than the signal transmission distance between the terminal and the base station to be tested based on the CDR data and the location parameter comprises:
acquiring the longitude and latitude of the terminal from the CDR data, and acquiring the longitude and latitude of a base station to be detected from the position parameter;
calculating the linear distance between the base station to be measured and the terminal based on a first preset formula;
acquiring transmission delay from the CDR data;
calculating the signal transmission distance between the base station to be tested and the terminal based on a second preset formula;
and judging whether the linear distance between the terminal and the base station to be detected is greater than the signal transmission distance between the terminal and the base station to be detected.
7. The method of claim 1, wherein the error of the straight-line distance is a preset parameter.
8. A base station longitude and latitude abnormity identification system is characterized by comprising:
the first acquisition module is used for acquiring CDR data of a terminal which is communicated with a base station to be detected;
the second acquisition module is used for acquiring the position parameters of the base station to be detected;
the first judgment module is used for judging whether the linear distance between the terminal and the base station to be detected is greater than the signal transmission distance between the terminal and the base station to be detected or not based on the CDR data and the position parameters;
and the abnormity judgment module judges that the longitude and latitude of the base station to be detected are abnormal if the longitude and latitude of the base station to be detected is larger than the longitude and latitude of the base station to be detected.
9. A server comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor executes the program to implement the base station latitude and longitude abnormality identification method according to any one of claims 1 to 7.
10. A terminal-readable storage medium having a program stored thereon, wherein the program, when executed by a processor, is capable of implementing the base station latitude and longitude abnormality identification method according to any one of claims 1 to 7.
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