Centralized scheduling support method and system based on fault capability center

Abstract

The invention relates to a centralized scheduling support method and system based on a fault capability center. In one embodiment, the method comprises the following steps: acquiring processing data from a system or a third-party platform; determining whether the processing data comprises fault key information or not, wherein the fault key information is used for indicating that a fault occurs; when the processing data comprises fault key information, determining a scheduling event corresponding to a fault type according to a fault type preset condition, wherein the fault type is indicated by fault key information; and executing the scheduling event. The system comprises an acquisition module, a scheduling module, an interface function module, a function function module and an integrated application module. According to the embodiment of the invention, centralized scheduling of faults and autonomous construction of fault scheduling events are realized, so that the timely, efficient, transparent, high-quality and intelligent levels of fault processing are improved.

Description

technical field [0001] The embodiments of the present invention relate to the field of network fault processing, and in particular to a centralized scheduling support method and system based on a fault capability center. Background technique [0002] The current operation and maintenance work has deficiencies such as untimely response to high-value events, inefficient processing, opaque process, unsmooth information, and unguaranteed quality. [0003] At the same time, with the introduction and rapid development of new services, and the evolution of 5G network architecture, network complexity under multi-network collaboration leads to more and more complex faults, which puts forward higher requirements for fault focus and location capabilities and efficiency. At present, there are monitoring systems and procedures for various businesses, but the focus is inconsistent. When a fault occurs, the problem location is scattered. The follow-up in-depth investigation is more depende...

AI Technical Summary

Problems solved by technology

At present, there are monitoring systems and procedures for various businesses, but the focus is inconsistent. When a fault occurs, the problem location is scattered. The follow-up in-depth investigation is more dependent on manual work. More than a dozen sets of systems are needed for troubleshooting, and various manual means are required. Generally speaking, knowledge cannot be solidified, troubleshooting time is long, efficiency is low, monitoring personnel are highly mobile, and quality differences are large, which affects the effect of fault pretreatment. Comprehensive intelligent perception capabilities of multi-dimensional data such as , dial test, log, project, complaint, resource, etc.

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