Big data analysis and association based dynamic inspection-on-demand method

Abstract

The invention discloses a dynamic on-demand inspection method based on big data analysis and association, which relates to the technical field of big data analysis. Through big data analysis of operation and maintenance, on-demand dynamic inspection and dynamic scheduling are established, and by optimizing the inspection period and management Mode, effectively allocate inspection resources, and at the same time, break down the barriers between inspection and fault handling; it mainly includes the following steps: 1) Establish an analysis model, 2) Generate dynamic inspection tasks, 3) Execute inspection tasks and 4) Query Inspection results. By adopting the invention, the inspection effect of the base station can be improved, and the barriers between the inspection fault processing can be broken, the cost efficiency can be improved, and the operation and maintenance management cost can be reduced.

Description

technical field

[0001] The invention relates to the technical field of big data analysis, in particular to a dynamic on-demand inspection method based on big data analysis and correlation. Background technique

[0002] Big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making power, insight and discovery, and process optimization capabilities to adapt to massive and high growth rates. and diverse information assets. The strategic significance of big data technology lies in the professional processing of these meaningful data, improving the "processing ability" of data, and realizing the "value-added" of data through "processing". From a technical point of view, the relationship between big data and cloud computing is inseparable. Big data cannot be processed by a single computer, and must be processed using a dist...