CN-122028090-A - Signaling analysis method, system, equipment, medium and product

CN122028090ACN 122028090 ACN122028090 ACN 122028090ACN-122028090-A

Abstract

The application discloses a signaling analysis method, a system, equipment, a medium and a product, which comprise the steps of responding to received complaint information of a target user, generating a first signaling data set based on network signaling data corresponding to the complaint information, identifying abnormal signaling from the first signaling data set based on a preset abnormal signaling feature library, extracting signaling data in a preset time range from the first signaling data set based on a timestamp of the abnormal signaling to form a second signaling data set, matching the second signaling data set with a pre-constructed case rule library to determine a target case rule, extracting a signaling subset related to the target case rule from the second signaling data set through semantic filtering, and carrying out case analysis on the signaling subset based on a preset analysis paradigm to obtain an analysis result. According to the application, by constructing a standardized intelligent analysis flow, the complaint analysis duration is greatly shortened, and the dependence on manual experience is reduced.

Inventors

WEI ZHUOHANG
YANG WEIMIN
LUO WEIHONG
CAI HONGXIANG
Zheng Yinyun
CHEN ZHIAN
XU PENGFEI
YOU JIAMING
YE FANGBIAO

Assignees

中国移动通信集团福建有限公司
中国移动通信集团有限公司

Dates

Publication Date: 20260512
Application Date: 20260213

Claims (10)

1. A method of signaling analysis, comprising: generating a first signaling data set based on network signaling data corresponding to complaint information in response to receiving the complaint information of a target user; Identifying abnormal signaling from the first signaling data set based on a preset abnormal signaling feature library, and extracting signaling data in a preset time range from the first signaling data set based on a time stamp of the abnormal signaling to form a second signaling data set; matching the second signaling data set with a pre-constructed case rule base to determine a target case rule; extracting a signaling subset associated with the target case rule from the second signaling dataset by semantic filtering; and carrying out case analysis on the signaling subset based on a preset analysis paradigm to obtain an analysis result.
2. The signaling analysis method of claim 1 wherein the generating a first signaling data set based on network signaling data corresponding to the complaint information comprises: determining identification information and complaint time periods of the target user based on the complaint information; acquiring an original signaling code stream from a signaling monitoring system according to the identification information and the complaint time period; And decoding and structuring the original signaling code stream to generate a first signaling data set.
3. The signaling analysis method according to claim 1, wherein extracting signaling data within a preset time range from the first signaling data set based on the timestamp of the abnormal signaling to form a second signaling data set comprises: determining a starting time point and an ending time point of signaling data extraction by taking the time stamp of the abnormal signaling as a reference; extracting all signaling data with time stamps between the starting time point and the ending time point from the first signaling data set, and forming a second signaling data set, wherein the second signaling data set is a signaling data set associated with the abnormal signaling.
4. The signaling analysis method of claim 1 wherein said matching the second signaling data set with a pre-constructed case rule base to determine a target case rule comprises: extracting the signaling names of the signaling in the second signaling data set; performing character string matching on the signaling name and the main event message characteristics of each case rule in the case rule base to obtain a matching result; And determining the case rule with the matching result being consistent as a target case rule.
5. The signaling analysis method of claim 1 wherein the extracting, by semantic filtering, a subset of signaling associated with the target case rule from the second signaling dataset comprises: acquiring predefined signaling characteristics in the target case rule; performing vector conversion on the signaling name to obtain a signaling name vector, and performing vector conversion on the signaling feature to obtain a signaling feature vector; calculating semantic similarity between the signaling name vector and the signaling feature vector; determining target signaling data with the semantic similarity being greater than or equal to a preset threshold value in the second signaling data set; a signaling subset is generated based on the target signaling data.
6. The signaling analysis method according to claim 1, wherein the case analysis is performed on the signaling subset based on a preset analysis paradigm to obtain an analysis result, including: creating and executing a plurality of analysis tasks based on the target case rules; wherein, for each of the analysis tasks: generating an analysis execution plan comprising a plurality of judging steps according to the target case rule; sequentially performing the analysis operation defined by each of the determining steps on the signaling subset based on the analysis execution plan; and summarizing analysis operation results of each judgment step, and generating judgment analysis results of the signaling subset under the target case rule.
7. A signaling analysis system, comprising: A complaint information parsing module configured to generate a first signaling data set based on network signaling data corresponding to complaint information in response to receiving the complaint information of a target user; The abnormal signaling determining module is configured to identify abnormal signaling from the first signaling data set based on a preset abnormal signaling feature library, extract signaling data in a preset time range from the first signaling data set based on a timestamp of the abnormal signaling, and form a second signaling data set; The case rule determining module is configured to match the second signaling data set with a pre-constructed case rule base to determine a target case rule; a signaling subset generation module configured to extract a signaling subset associated with the target case rule from the second signaling dataset by semantic filtering; And the signaling analysis module is configured to perform case analysis on the signaling subset based on a preset analysis paradigm to obtain an analysis result.
8. A computer device comprising one or more processors, memory, and one or more programs, wherein the one or more programs are stored in the memory and executed by the one or more processors, the one or more programs comprising instructions for performing the method of any of claims 1-6.
9. A non-transitory computer readable storage medium containing a computer program, which when executed by one or more processors causes the one or more processors to perform the method of any of claims 1 to 6.
10. A computer program product comprising one or more computer programs which, when executed by one or more processors, implement the method of any of claims 1 to 6.

Description

Signaling analysis method, system, equipment, medium and product Technical Field The application relates generally to the technical field of internet of things, and in particular relates to a signaling analysis method, a system, equipment, a medium and a product. Background With the development of the 5G network (5 th Generation Network, fifth generation mobile communication network) scale deployment and core network service architecture, 5GC (5G Core Network) signaling analysis for user complaints becomes a key link for guaranteeing network service quality. Currently, related technologies generally rely on operation and maintenance experts to manually trace back a signaling flow, and combine tools such as Wireshark to perform offline decoding and protocol analysis on an original code stream. However, the method in the related art has the prominent problems of low analysis efficiency, insufficient intelligent degree, high dependence on professional experience of personnel and the like when facing massive and heterogeneous 5GC signaling data. The manual analysis takes a long time of several hours, the user complaints are difficult to respond quickly, the traditional tool can not realize the automatic identification and root cause delimitation of the abnormal signaling, and the accuracy and the large-scale processing capacity of the operation and maintenance response are limited. Therefore, how to realize efficient, intelligent and interpretable automatic analysis in a complex and changeable 5GC signaling environment has become a technical problem to be solved in order to improve the network operation and maintenance level. Disclosure of Invention In view of the above, embodiments of the present application provide a signaling analysis method, system, device, medium and product aiming at some drawbacks related to the background art. In a first aspect, an embodiment of the present application provides a signaling analysis method, including: generating a first signaling data set based on network signaling data corresponding to complaint information in response to receiving the complaint information of a target user; Identifying abnormal signaling from the first signaling data set based on a preset abnormal signaling feature library, and extracting signaling data in a preset time range from the first signaling data set based on a time stamp of the abnormal signaling to form a second signaling data set; matching the second signaling data set with a pre-constructed case rule base to determine a target case rule; extracting a signaling subset associated with the target case rule from the second signaling dataset by semantic filtering; and carrying out case analysis on the signaling subset based on a preset analysis paradigm to obtain an analysis result. In a second aspect, an embodiment of the present application provides a signaling analysis system, including: A complaint information parsing module configured to generate a first signaling data set based on network signaling data corresponding to complaint information in response to receiving the complaint information of a target user; The abnormal signaling determining module is configured to identify abnormal signaling from the first signaling data set based on a preset abnormal signaling feature library, extract signaling data in a preset time range from the first signaling data set based on a timestamp of the abnormal signaling, and form a second signaling data set; The case rule determining module is configured to match the second signaling data set with a pre-constructed case rule base to determine a target case rule; a signaling subset generation module configured to extract a signaling subset associated with the target case rule from the second signaling dataset by semantic filtering; And the signaling analysis module is configured to perform case analysis on the signaling subset based on a preset analysis paradigm to obtain an analysis result. In a third aspect of the application, there is provided a computer device comprising one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and executed by the one or more processors, the one or more programs comprising instructions for performing the method of the first aspect. In a fourth aspect of the application, there is provided a non-transitory computer readable storage medium containing a computer program which, when executed by one or more processors, causes the one or more processors to perform the method of the first aspect. In a fifth aspect of the application, there is provided a computer program product comprising one or more computer programs which, when executed by one or more processors, implement the method as described in the first aspect. According to the signaling analysis method, system, equipment, medium and product provided by the embodiment of the disclosure, through constructing a complaint-driven signaling analysis closed-loop f