CN110769452B - Base station longitude and latitude anomaly identification method, system, server and storage medium - Google Patents
Base station longitude and latitude anomaly identification method, system, server and storage medium Download PDFInfo
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/04—Arrangements for maintaining operational condition
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- 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
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- 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
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- 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
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- 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
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Abstract
The invention discloses a method for identifying longitude and latitude anomalies of a base station, which comprises the following steps: acquiring CDR data of a terminal communicated 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 tested is larger than the signal transmission distance between the terminal and the base station to be tested or not based on the CDR data and the position parameter; if the latitude and longitude of the base station to be detected are larger than the latitude and longitude of the base station to be detected, the latitude and longitude of the base station to be detected are judged to be abnormal. The invention also provides a base station longitude and latitude abnormality recognition system, a server and a storage medium.
Description
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 anomalies of a base station.
Background
With the advent of 5G, the number of base stations operating Shang Yunwei has increased greatly, not only has 2G/3G/4G sites been simultaneously operated, but also new 5G sites have to be maintained, and the 5G sites are denser in density than 4G, and the number of sites that operators need to maintain has increased exponentially.
And (3) regularly surveying the base station in the operation and maintenance process of the base station, rechecking the longitude and latitude, azimuth angle and other information of the base station, and updating and correcting inaccurate information. Doing so requires a lot of resources to be put in on a regular basis. In practice, there may be only tens or twenty percent of inaccurate base station information, and all sites have to be rechecked because these inaccurate base stations cannot be identified. Especially, the number of the operator stations is numerous, one province is often tens of thousands of stations, and all checking station information not only wastes resources, but also has long period, wastes resources and has long period.
The invention provides a base station longitude and latitude abnormality identification method based on big data, which can detect base stations with incorrect longitude and latitude through data analysis and conduct targeted checking, thereby achieving the effects of improving maintenance efficiency and saving resources.
Disclosure of Invention
The invention provides a method for identifying longitude and latitude anomalies of a base station, which is used for realizing the effect of finding out the base station with the misoperation of longitude and latitude through data analysis.
In a first aspect, an embodiment of the present invention provides a method for identifying longitude and latitude anomalies of a base station, including:
acquiring CDR data of a terminal communicated 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 tested is larger than the signal transmission distance between the terminal and the base station to be tested or not based on the CDR data and the position parameter;
if the latitude and longitude of the base station to be detected are larger than the latitude and longitude of the base station to be detected, the latitude and longitude of the base station to be detected are judged to be abnormal.
In a second aspect, an embodiment of the present invention further provides a system for identifying longitude and latitude anomalies of a base station, including:
the first acquisition module is used for acquiring CDR data of a terminal which is communicated with the 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 judging module is used for judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested or not based on the CDR data and the position parameter;
and the abnormality judging module is used for judging that the longitude and latitude of the base station to be tested are abnormal if the longitude and latitude of the base station to be tested are greater than the longitude and latitude of the base station to be tested.
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 capable of running on the processor, where the processor implements the method for identifying longitude and latitude anomalies of a base station according to any one of the above when executing the program.
In a fourth aspect, an embodiment of the present invention further provides a terminal readable storage medium, where a program is stored, where the program when executed by a processor can implement a method for identifying longitude and latitude anomalies of a base station according to any one of the above.
According to the invention, 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 is compared, if so, the longitude and latitude abnormality of the base station to be detected is judged, so that the base station to be detected with abnormal position can be accurately positioned in the base station overhaul process, the overhaul efficiency is improved, and the resources are saved.
Drawings
Fig. 1 is a flowchart of a method for identifying longitude and latitude anomalies of a base station according to a first embodiment of the present invention.
Fig. 2 is a flowchart of a method for identifying longitude and latitude anomalies of a base station in a second embodiment of the present invention.
Fig. 3 is a flowchart of a method for identifying longitude and latitude anomalies of a base station in a third embodiment of the present invention.
Fig. 4 is a flowchart of a method for identifying longitude and latitude anomalies of a base station in an alternative embodiment in accordance with the third embodiment of the present invention.
Fig. 5 is a flowchart of a method for identifying longitude and latitude anomalies of a base station in an alternative embodiment in a third embodiment of the present invention.
Fig. 6 is a flowchart of a method for identifying longitude and latitude anomalies of a base station in a fourth embodiment of the present invention.
Fig. 7 is a block diagram of a system for identifying longitude and latitude anomalies of a base station according to a fifth embodiment of the present invention.
Fig. 8 is a block diagram of a system for identifying longitude and latitude anomalies of a base station according to an alternative embodiment of the present invention.
Fig. 9 is a schematic diagram of a server structure according to a sixth embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts steps as a sequential process, many of the steps may be implemented in parallel, concurrently, or with other steps. Furthermore, the order of the steps may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
Furthermore, the terms "first," "second," and the like, may be used herein to describe various directions, acts, steps, or elements, etc., but these directions, acts, 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 a 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," and the like, are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present invention, "plurality", "batch" means at least two, for example, two, three, etc., unless specifically defined otherwise.
Example 1
Fig. 1 is a flowchart of a method for identifying longitude and latitude anomalies of a base station according to a first 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 is obtained.
In this step, CDR data, which refers to call Detail Record, namely call detail record, is a record of single data communication service of the user in the mobile network, and is formed by integrating signaling related to the event in each interface, and is used for evaluating network performance and supporting marketing. The CDR data contains a large amount of information of the communication terminal, and can be conveniently located to the user and the terminal according to the required problem, and data analysis is performed. In the invention, whether the base station to be detected has the abnormality of longitude and latitude positioning needs to be detected, so CDR data refers to the information of the communication between the terminal and the base station to be detected and is used for positioning the terminal.
The mobile base station collects information such as MR, CDR and AGPS reported by a large number of mobile users, and can accurately position the user 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 and TA reported by the mobile users.
AGPS (Assisted GPS, network Assisted GPS) is a method of performing data transmission by using a network by positioning a mobile communication operation base station based on GPS positioning. In short, it uses the GPS chip of the device and the mobile phone network to achieve positioning. AGPS is widely used in mobile terminal devices today, and the CDR data reported by the terminal contains AGPS information. TA is timing advance, which refers to initial access advance in this step, and represents information transmission delay from base station to terminal.
S102, acquiring the position parameters of the base station to be detected.
Working parameters are generated in the working process of the base station to be tested, and the position parameters of the base station to be tested, namely longitude and latitude information, can be obtained from the working parameters.
S103, judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested based on the CDR data and the position parameters.
In the step, the linear distance between the terminal and the base station to be tested and the signal transmission distance between the terminal and the base station to be tested can be measured through the data obtained in the step. In the actual signal transmission process, because the electromagnetic wave is blocked by a building and can reach the terminal through reflection, diffraction and other ways, the transmission distance of the actual signal is not the linear distance between the base station and the terminal, and is necessarily larger than or equal to the linear distance.
S104, if the linear distance between the base station to be detected and the terminal is larger than the transmission distance of the actual signal, judging that the longitude and latitude of the base station to be detected are abnormal.
In the step, if 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, the position information of at least one of the terminal and the base station to be tested is abnormal. On the premise of determining that the longitude and latitude of the terminal are correct, the longitude and latitude abnormality of the base station to be detected can be determined. If not, judging that the longitude and latitude of the base station to be tested are normal.
In the embodiment, whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested is judged, and when the linear distance is larger than the signal transmission distance, the longitude and latitude abnormality of the base station is indicated.
Example two
Fig. 2 is a flowchart of a method for identifying abnormal longitude and latitude of a base station according to a second embodiment of the present invention, where, based on the above embodiment, when determining longitude and latitude of a base station to be measured, a plurality of mobile terminals communicating with the base station to be measured are selected for multiple determinations to increase accuracy of longitude and latitude determination, the specific steps are as follows:
s201, CDR data of a terminal communicating with a base station to be tested is obtained.
In this step, in order to increase accuracy of longitude and latitude determination, a plurality of terminal information to be communicated with a base station to be detected needs to be acquired, as shown in the figure, CDR data reported by the terminal is firstly acquired from a network data acquisition node of an area to be detected, and the data is accessed into a big data processing cluster to be calculated and processed through an SFTP transmission protocol, and the acquired CDR data of the terminal is a plurality of.
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 practical operation, CDR data generally includes fields such as cdr.enodebid, ac.cellid, ac.mr.ltesctadv, ac.longitude, ac.latitude, etc., and the field names resolved by each operator are slightly different, so as to ensure that the fields include information such as base station ID (i.e., cdr.enodebid), cell ID (i.e., ac.cellid), initial access time advance (i.e., ac.mr.ltesctadv), and longitude and latitude (i.e., ac.longitude/ac.latitude) at the time of terminal access.
S202, acquiring position parameters of a base station to be detected.
S203, judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested based on the CDR data and the position parameters.
If yes, step S204 is executed, and if no, the latitude and longitude of the base station to be measured are determined to be normal.
S204, recording the times that the linear distance is larger 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 CDR data acquired in step S201 are each calculated once, and a plurality of judgment results are obtained. Since the CDR data of the terminal may also be abnormal, when the number of times that the straight line distance is larger than the signal transmission distance exceeds the first preset threshold, the longitude and latitude abnormality of the base station to be measured is determined. The first preset threshold value can be dynamically adjusted according to the size of the actually acquired CDR data.
The step fully utilizes the characteristic of large data volume in a big data environment, repeatedly confirms whether the same base station position is abnormal or not through a plurality of reported CDR data, and can greatly improve the accuracy of discrimination.
And S205, if the latitude and longitude of the base station to be detected are abnormal, judging that the latitude and longitude of the base station to be detected are abnormal.
If the latitude and longitude of the base station to be detected are not exceeded, the latitude and longitude of the base station to be detected are judged to be normal.
In the embodiment, when judging the longitude and latitude of the base station to be tested, a plurality of mobile terminals which are communicated with the base station to be tested are selected for multiple times of judgment so as to increase the accuracy of longitude and latitude judgment.
Example III
As shown in fig. 3, this embodiment provides a flowchart of a method for identifying longitude and latitude anomalies of a base station, and based on 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, which specifically includes the following steps:
s301, CDR data of a terminal communicating with a base station to be tested is obtained.
S3010, 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 longitude and latitude of the terminal.
After CDR data is acquired, the data source needs to be cleaned and filtered, specifically, not every CDR data reported by the terminal contains AGPS information, and the reported CDR data must meet a certain scene condition (the UE terminal starts the AGPS function and uses the position location service at the reporting time, such as hundred-degree map, beauty group, etc.), but only contains AGPS longitude and latitude information.
S3011, deleting the CDR data if not.
S3012, if included, storing CDR data.
S302, acquiring the position parameters of the base station to be detected.
S303, judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested based on the CDR data and the position parameters.
S304, if the latitude and longitude of the base station to be detected are larger than the latitude and longitude of the base station to be detected, the latitude and longitude of the base station to be detected are judged to be abnormal.
If not, judging that the longitude and latitude of the base station to be tested are normal.
As shown in fig. 4, in an alternative embodiment, after step S3012, further includes:
s3013, judging whether the number of CDR data acquired in the first time interval exceeds a second preset threshold.
In this step, since the user does not always start the positioning function in the actual use process, many data in the reported CDR data do not contain AGPS longitude and latitude information, and the above steps S3010-S3012 can realize filtering the data not containing AGPS longitude and latitude.
In actual operation, the data proportion of the AGPS longitude and latitude information in the CDR information generally reported by the terminal is between 0.5% and 5%, and each provincial area is different, but the overall proportion of the AGPS longitude and latitude information in the reported CDR is lower. In the context of large data, it is feasible to select enough data from the aggregate to analyze the base station location by acquiring a large number of CDR data reported by the terminal. Therefore, the 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 and the judging times of the base station to be detected are mutually influenced, and the second preset threshold value is used for enabling the times of judging the positions of the base station to meet the determinable number.
And S3014, if the data exceeds the data, storing the CDR data.
S3015, if the CDR data is not exceeded, re-acquiring the CDR data in the next first time interval period.
In this step, if the available CDR data obtained in a period of time is insufficient and cannot reach the second preset threshold, the CDR data needs to be re-obtained. Optionally, in the next data acquisition period, the following steps may be added: and prolonging the first time interval period until the number of the acquired CDR data exceeds a second preset threshold.
S3016, judging whether the number of the acquired CDR data exceeds a second preset threshold.
If not, step S3017 is executed, and if yes, step S302 is executed.
S3017, repeating the steps until the number of CDR data acquired in the first time interval exceeds a second preset threshold value, and storing the CDR data.
In another alternative embodiment, as shown in fig. 5, after step S301, further includes:
s3018, performing clustering calculation on the CDR data.
In this step, since positioning abnormality may occur in the positioning tool of the terminal, the AGPS information reported by the terminal is inaccurate, and thus cluster calculation needs to be performed on the CDR data acquired in the above step. Cluster 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. Cluster (Cluster) analysis is composed of several patterns (patterns), typically a vector of metrics, or a point in 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 invention, CDR data connected with the same base station is used as a category to perform clustering calculation, and outlier data in the CDR data are filtered and screened out. The aim of this step is to eliminate the effect of abnormally located CDR data on the accuracy of base station longitude and latitude identification.
S3019, deleting outlier CDR data in cluster calculation.
Outlier CDR data refers to points in the CDR data samples that do not agree 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 may be a plurality of CDR data, and the CDR data of the terminals connected to the same base station may be clustered as one category.
Based on the embodiment, the embodiment adds data filtering and screening to the acquired multiple CDR data of multiple terminals to remove the CDR data which does not meet the requirements, and eliminates the influence of the abnormal CDR data on the longitude and latitude discrimination of the base station.
Example IV
Fig. 6 is a flowchart of a method for identifying longitude and latitude anomalies of a base station according to the present embodiment, where the present embodiment provides a formula for calculating a linear distance between a terminal and a base station to be tested and a signal transmission distance between the terminal and the base station to be tested, and the specific steps are as follows:
s401, CDR data of a terminal communicating with a base station to be tested is acquired.
S402, acquiring the position parameters of the base station to be detected.
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 parameter.
In the above embodiment, terminal AGPS information is obtained from CDR data, so as to obtain the longitude and latitude of AGPS of the terminal as cdr_lon and cdr_lat; and acquiring longitude and latitude of the base station to be detected from the position parameters of the base station to be detected to be lon and lat.
S4032, calculating the linear distance between the base station to be measured and the terminal based on a first preset formula.
The embodiment provides a formula for calculating a distance between a base station to be measured and a terminal, specifically, according to the steps, the longitude and latitude of AGPS of UE reported by CDR are cdr_lon and cdr_lat, and the longitude and latitude of a base station in a industrial parameter are lon and lat, in actual operation, a first preset formula for calculating a straight line distance between the base station to be measured and the terminal can be obtained according to a calculation formula for a distance between two points on the earth surface between the terminal and the base station, which is 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 earth radius in meters, PI is the mathematical circumference ratio PI, and the distance calculated by the first preset formula in the step is in meters.
S4033, acquiring transmission delay from the CDR data.
In the mobile communication, the signal is delayed in space transmission, if the mobile terminal moves away from the base station during the call, the signal sent from the base station will arrive at the mobile station later and later, at the same time, the signal of the mobile station will arrive at the base station later and later, and the delay too long will cause the signal received by the base station on the time slot and the time slot of the next signal of other mobile station received by the base station to overlap each other, causing intersymbol interference, therefore, during the call, the measurement report head sent by the mobile station to the base station carries the delay value measured by the mobile station, and the base station must monitor the time of call arrival, and send an instruction to the mobile station on the downlink channel at a frequency of 480ms once, indicating the time of mobile station to send earlier. TA represents the transmission time delay between the terminal and 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 electromagnetic waves by the time delay.
S4034, calculating the signal transmission distance between the base station to be tested and the terminal based on a second preset formula.
In this embodiment, taking an FDD LTE network as an example, in the random access process of LTE, the value range of TA is 0-1282, the delay corresponding to one TA is 16 Ts, and Ts is the most basic time unit of LTE, where ts=1/(15000×2048) seconds. Meanwhile, the signal transmission distance in the step is a single pass of transmission between the base station to be tested and the terminal.
Thus (2)
The second preset formula is: signal transmission distance between the base station to be measured and the terminal=ta×78.12, in meters.
It should be noted that, the second preset formula in this step may be different calculation formulas according to the change of the mobile communication standard.
S4035, judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested.
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 erroneous judgment, it is preferable to add a predetermined parameter as an error value in the judgment process of this step, in accordance with the allowable error of the straight line distance as a predetermined parameter, that is, the range of the straight line distance considering the error is [ straight line distance+predetermined parameter ]. For example, the minimum accuracy of the transmission delay in the calculation process is 78.12 meters, which results in that the calculated signal transmission distance between the base station to be measured and the terminal may have an error within 78.12 meters, so that the preset parameter is preferably 78.12 meters, and the judgment process of this step is as follows: and judging 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 by +78.12m. It should be noted that, when the first preset formula and/or the second preset formula change, the preset parameters in this step of the present invention have corresponding changes, and in different embodiments, have different value ranges.
S404, if the latitude and longitude of the base station to be detected are abnormal, judging the latitude and longitude of the base station to be detected are abnormal.
If not, judging that the longitude and latitude of the base station to be tested are normal.
The embodiment improves the accuracy of longitude and latitude discrimination by providing a distance calculation formula in the longitude and latitude discrimination process.
Example five
As shown in fig. 7, a fifth embodiment of the present invention provides a system 5 for identifying longitude and latitude anomalies of a base station, which includes the following modules:
a first obtaining module 501, configured to obtain CDR data of a terminal that communicates with a base station to be tested.
A second obtaining module 502, configured to obtain a location parameter of the base station to be tested.
A first determining module 503, configured to determine whether 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 based on the CDR data and the position parameter.
And the abnormality determination module 504 determines that the longitude and latitude of the base station to be detected are abnormal if the detected longitude and latitude are greater than the detected longitude and latitude.
As shown in fig. 8, in an alternative embodiment, further comprising:
the second determining module 505 is configured to record the number of times that the linear distance is greater than or equal to the signal transmission distance, and determine whether the number of times exceeds a first preset threshold.
And the abnormality determination module 504 is configured to determine 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 are exceeded.
In another alternative embodiment, the method further comprises:
a third determining module 506, configured to determine whether the CDR data includes the ID of the base station to be tested, the transmission delay from the terminal to the base station to be tested, and the longitude and latitude of the terminal.
And a deleting module 507, configured to delete CDR data if not.
A saving module 508, configured to save CDR data if included.
In another alternative embodiment, the method further comprises:
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 CDR data if the CDR data exceeds the CDR data.
A third acquiring module 510, configured to re-acquire CDR data in a next first time interval period if the CDR data does not exceed the CDR data.
A fourth determining module 509, configured to determine whether the number of acquired CDR data exceeds a second preset threshold.
A saving module 508, configured to save CDR data until the number of CDR data acquired in the first time interval exceeds the second preset threshold.
In another alternative embodiment, the method further comprises:
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 cluster calculation.
In another alternative embodiment, the first determining module 503 includes:
the first acquiring unit 5031 is configured to acquire the longitude and latitude of the terminal from the CDR data, and acquire the longitude and latitude of the base station to be measured from the location parameter.
The first calculating unit 5032 is configured to calculate a linear distance between the base station to be measured and the terminal based on a first preset formula.
A second acquiring unit 5033, configured to acquire a transmission delay from the CDR data.
The second calculating unit 5034 is configured to calculate a signal transmission distance between the base station to be measured and the terminal based on a second preset formula.
The determining unit 5035 is 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 system for identifying the longitude and latitude abnormality of the base station can be used for executing the method for identifying the longitude and latitude abnormality of the base station provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing 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 processors 601 in the server may be one or more, one processor 601 being illustrated in the figure; the processor 601, memory 602, input means 603 and output means 604 in the device/terminal/server may be connected by a bus or other means, in fig. 9 by way of example.
The memory 602 is a computer readable storage medium, and may be used to store a software program, a computer executable program, and modules, such as program instructions/modules corresponding to the theme update method in the embodiment of the present invention (for example, the first acquisition module 501, the second acquisition module 502, and the like in the above embodiment). The processor 601 executes various functional applications of the device/terminal/server and data processing by running software programs, instructions and modules stored in the memory 602, that is, implements the above-described base station longitude and latitude abnormality recognition system.
The memory 602 may include primarily a program storage area and a data storage area, wherein the program storage area may store an operating system, at least one application program required for functionality; the storage data area may store data created according to the use of the terminal, etc. In addition, 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 remotely located relative to 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 means 603 may be used to receive input numeric or character information and to generate key signal inputs related to user settings of the device/terminal/server and function control. The output 604 may include a display device such as a display screen.
The server in the embodiment of the invention detects the base station with the longitude and latitude error through data analysis and calculation, and performs targeted checking, thereby achieving the effects of improving the overhaul efficiency and saving the resources.
Example seven
The embodiment of the invention also provides a computer readable storage medium, on which a computer program is stored, the program when executed by a processor realizes the method for identifying longitude and latitude anomalies of a base station according to any embodiment of the invention, and the method can comprise:
acquiring CDR data of a terminal communicated 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 tested is larger than the signal transmission distance between the terminal and the base station to be tested or not based on the CDR data and the position parameter;
if the latitude and longitude of the base station to be detected are larger than the latitude and longitude of the base station to be detected, the latitude and longitude of the base station to be detected are judged to be abnormal.
The computer-readable storage media of embodiments of the present invention may take the form of 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. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any 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 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.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. 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 using 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 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 ++ and 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 kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. 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, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (8)
1. The method for identifying the longitude and latitude abnormality of the base station is characterized by comprising the following steps:
acquiring CDR data of a terminal communicated 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 tested is larger than the signal transmission distance between the terminal and the base station to be tested or not based on the CDR data and the position parameter;
if the linear distance is larger than the signal transmission distance, recording the times that the linear distance is larger than the signal transmission distance, and judging whether the times exceed a first preset threshold value or not;
if the latitude and longitude of the base station to be detected are exceeded, judging that the latitude and longitude of the base station to be detected are abnormal;
the determining, based on the CDR data and the location parameter, whether 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 includes:
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 parameter;
calculating the linear distance between the base station to be tested 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;
judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested;
the first preset formula is as follows:
the linear distance between the base station to be tested and the 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 earth radius in meters, PI is the mathematical circumference ratio PI, and the distance calculated by the first preset formula in the step is in meters; CDR_lon and CDR_lat are AGPS longitude and latitude of the terminal; lon and Lat are longitude and latitude of the base station to be measured obtained from the position parameters of the base station to be measured;
the second preset formula is: signal transmission distance between base station to be measured and terminal=ta×78.12;
wherein TA represents transmission delay between the terminal and the base station to be tested; 78.12 in meters.
2. The method for identifying longitude and latitude anomalies of a base station according to claim 1, wherein after obtaining CDR data of a terminal in communication with a base station to be tested, further comprises:
judging whether the CDR data comprise an ID of a base station to be tested, a transmission delay from a terminal to the base station to be tested and longitude and latitude of the terminal;
if not, deleting the CDR data;
and if so, storing the CDR data.
3. The method for identifying longitude and latitude anomalies of a base station according to claim 2, further comprising, after said storing of said CDR data if included:
judging whether the number of CDR data acquired in a first time interval exceeds a second preset threshold value or not;
if yes, storing the CDR data;
if the CDR data do not exceed the CDR data, re-acquiring the CDR data in the next first time interval period;
judging whether the number of the obtained CDR data exceeds a second preset threshold value or not;
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.
4. The method for identifying longitude and latitude anomalies of a base station according to claim 2, further comprising, after said acquiring CDR data of a terminal communicating with a base station to be tested:
clustering calculation is carried out on the CDR data;
and deleting the outlier CDR data in the clustering calculation.
5. The method for identifying longitude and latitude anomalies of a base station according to claim 1, wherein the error of the straight line distance is a preset parameter.
6. A base station latitude and longitude anomaly identification system, comprising:
the first acquisition module is used for acquiring CDR data of a terminal which is communicated with the 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 judging module is used for judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested or not based on the CDR data and the position parameter;
the abnormality judging module is used for recording the times that the linear distance is larger than the signal transmission distance if the linear distance is larger than the signal transmission distance, and judging whether the times exceed a first preset threshold value or not; if the latitude and longitude of the base station to be detected are exceeded, judging that the latitude and longitude of the base station to be detected are abnormal;
the first acquisition unit is used for 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 parameter;
the first calculating unit is used for calculating the linear distance between the base station to be detected and the terminal based on a first preset formula;
a second acquiring unit, configured to acquire a transmission delay from the CDR data;
the second calculation unit is used for calculating the signal transmission distance between the base station to be detected and the terminal based on a second preset formula;
the judging unit is used for judging whether the linear distance between the terminal and the base station to be tested is larger than the signal transmission distance between the terminal and the base station to be tested;
the first preset formula is as follows:
the linear distance between the base station to be tested and the 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 earth radius in meters, PI is the mathematical circumference ratio PI, and the distance calculated by the first preset formula in the step is in meters; CDR_lon and CDR_lat are AGPS longitude and latitude of the terminal; lon and Lat are longitude and latitude of the base station to be measured obtained from the position parameters of the base station to be measured;
the second preset formula is: signal transmission distance between base station to be measured and terminal=ta×78.12;
wherein TA represents transmission delay between the terminal and the base station to be tested; 78.12 in meters.
7. A server comprising a memory, a processor and a program stored on the memory and executable on the processor, wherein the processor implements the method for identifying anomalies in longitude and latitude of a base station according to any one of claims 1 to 5 when executing the program.
8. 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 longitude and latitude anomaly identification method according to any one of claims 1 to 5.
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| CN111405464B (en) * | 2020-03-19 | 2022-02-15 | 中国联合网络通信集团有限公司 | Base station position detection method and device |
| CN111510859B (en) * | 2020-05-25 | 2021-12-21 | 北京红山信息科技研究院有限公司 | User track positioning method, system, server and storage medium |
| CN113891236B (en) * | 2020-06-17 | 2024-02-13 | 中国电信股份有限公司 | Method, device and computer readable storage medium for checking position information of base station |
| CN111800854A (en) * | 2020-06-24 | 2020-10-20 | 北京红山信息科技研究院有限公司 | Base station position verification method, device, equipment and storage medium |
| CN112558111B (en) * | 2020-11-27 | 2023-08-01 | 广东电网有限责任公司肇庆供电局 | Unmanned aerial vehicle positioning method and device |
| CN112801189A (en) * | 2021-01-29 | 2021-05-14 | 上海寻梦信息技术有限公司 | Method and device for detecting longitude and latitude abnormity, electronic equipment and storage medium |
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