Multi-dimensional classified counting and analyzing method and device for network failure reporting data

Abstract

The embodiment of the invention discloses a multi-dimensional classified counting and analyzing method and device for network failure reporting data. The method comprises the steps that a failure reporting record file in a network is parsed according to an address parsing algorithm to obtain position information of various failure reporting records; and the failure reporting numbers correspondingto different times and different positions in the failure reporting record file are counted according to the position information. According to the method and device, by parsing the failure reportingrecord file in the network, the network conditions in all scenes can be monitored, the user sampling range is wide, and the sampled data is comprehensive; and meanwhile, the corresponding failure reporting numbers are counted according to the obtained position information of the failure reporting records by combining partition of different times and different positions, the dead zone where a webmaster cannot monitor can be covered, the user experience can be directly embodied, user underlying failure reporting content is taken as an analysis basis to be close to the use feeling of a network user side, user data is directly analyzed, and potential network bottlenecks are objectively reflected.

Description

technical field [0001] The embodiment of the present invention relates to the field of communication technologies, and in particular to a method and device for multi-dimensional classification and statistical analysis of network failure report data. Background technique [0002] While competition in the wireless field of operators is becoming fiercer, fixed broadband has gradually become the next profit growth point. Whether it is sticking to the fixed broadband market share or opening up the market through "fixed-mobile bundling", the fixed broadband market, especially the home broadband market, has undoubtedly become a new force and field of competition. Among them, network supervision capabilities have become the escort for broadband quality. key competencies. [0003] Traditional broadband access network monitoring and management generally monitor user terminal equipment, link traffic early warning, and service configuration standardization through upper-layer network m...

AI Technical Summary

Problems solved by technology

However, factors such as probe deployment scale, user behavior habits, and sample collection cycle length are strongly related to the analysis results, which often have certain one-sidedness and limitations.

The probe method cannot effectively solve the experience problems of different users on the entire network, let alone make predictions and judgments in advance

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