Mobile network signaling monitoring method based on kernel density distribution

Abstract

The invention discloses a mobile network signaling monitoring method based on kernel density distribution. The method comprises steps as follows: original signaling data of a mobile data service network are acquired; a preset IMSI (international mobile subscriber identity) filter principle is acquired, and the acquired original signaling data are filtered according to the IMSI principle and then are inserted into a mobile network data table; text description corresponding to each network action code is acquired, and user alias name corresponding to each IMSI is acquired simultaneously; for each area, residence time of each user in the area is counted, and each residence time is sampled; a first quartile of each collected residence time sample is calculated and taken as a statistical interval, the samples are progressively increased according to the statistical interval, and the kernel density distribution is calculated. According to the method, pseudo base-stations for polices are not required to be configured, overall monitoring, track reproduction and real-time position tracking can be realized, further, through calculation of the kernel density distribution, residence users can be conveniently filtered out, the calculation amount is reduced, higher rapidness and accuracy are achieved, and the method can be widely applied to the field of signaling monitoring.

Description

technical field [0001] The invention relates to the field of signaling monitoring, in particular to a mobile network signaling monitoring method based on kernel density distribution. Background technique [0002] Glossary: [0003] LAC: location area code, location area code, used in mobile communication systems, is an area set up for paging, covering a geographical area; [0004] IMSI: International Mobile Subscriber Identification Number, International Mobile Subscriber Identification Number; [0005] IMEI: International Mobile Equipment Identity, the international identity code of mobile equipment; [0006] Quartiles: In statistics, arrange all the values ​​​​from small to large and divide them into four equal parts. The values ​​at the three division points are the quartiles, which include the first quartile and the second quartile in turn. quantile and third quartile. [0007] At present, the public security system mainly uses police pseudo base stations to monitor ...

AI Technical Summary

Problems solved by technology

[0007] At present, the public security system mainly uses police pseudo base stations to monitor the situation of personnel in key areas, but this method has many disadvantages. The police pseudo base station system requires base station hardware investment, which involves the hardware cost of the base station, installation and maintenance costs, and site selection issues. It will interfere with the mobile communication network of existing operators

Especially in today's highly dense urban population and facilities, the problem of location selection of police pseudo base stations and the flawed interference with existing mobile networks determine that it is impossible to achieve full coverage of police pseudo base stations, and only a few Covering key intersections, monitoring the situation of personnel at key intersections, so it is impossible to achieve comprehensive monitoring, trajectory reproduction and real-time location tracking

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