A Method Applied to Monitoring System Equipment Fault Diagnosis and Intelligent Early Warning

Abstract

The invention relates to a method for fault diagnosis and intelligent early warning of monitoring system equipment, comprising the following steps: step 1, establishing independent alarm analysis logic and recovery analysis logic based on each alarm fault model; step 2, controlling the alarm logic and The recovery logic is mutually exclusive; Step 3: Delay processing of the alarm event and the recovery event; Step 4: Establish a cascade relationship for the alarm events generated after the delay processing: according to the relationship between different alarm events, establish the alarm level Cascading groups, with the occurrence of alarm events as trigger conditions, automatically judge whether the same cascading group alarms exist at the same time within a certain period of time, and generate correlation information between alarm events. Compared with the prior art, the present invention has the advantages of reducing the probability of false alarms, reducing the number of invalid alarms, reducing storage space overhead, reducing system CPU consumption, and reducing the workload of maintenance personnel.

Description

technical field [0001] The invention relates to the field of fault diagnosis and intelligent early warning, in particular to a method applied to fault diagnosis and intelligent early warning of monitoring system equipment. Background technique [0002] Fault diagnosis and intelligent early warning are important functions of monitoring systems. At present, in monitoring systems, the distinction between equipment alarm logic and recovery logic is not clear, and the fault analysis methods are not uniform, which leads to chaotic execution of the system fault analysis process and increases the occurrence of false alarms. probability; in addition, the traditional system has a single fault analysis function, and the setting of fault occurrence and recovery conditions is simple, resulting in a large increase in the number of repeated alarms in the system, increasing storage space overhead and system CPU consumption, and increasing the workload of maintenance personnel; Failure analy...

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Problems solved by technology

[0002] Fault diagnosis and intelligent early warning are important functions of monitoring systems. At present, in monitoring systems, the distinction between equipment alarm logic and recovery logic is not clear, and the fault analysis methods are not uniform, which leads to chaotic execution of the system fault analysis process and increases the occurrence of false alarms. In addition, the fault analysis function of the traditional system is single, and the setting of fault generation and recovery conditions is simple, resulting in a large increase in the number of repeated alarms in the system, increasing storage space overhead and system CPU consumption, and increasing the workload of maintenance personnel; Failure analysis does not take into account the relationship between faulty devices, resulting in reduced referenceability of system failure analysis results and reduced availability of system functions

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