Method for automatically diagnosing faults of monitoring system

Abstract

The invention relates to a method for automatically diagnosing faults of a monitoring system. The method comprises the following steps: analyzing the association degree of sequences of different measuring values; building a fuzzy relation matrix by utilizing the association degrees of the measuring value sequences; and carrying out fuzzy clustering analysis on the measuring value sequences to obtain the reason of measuring value abnormity, and judging the operation state of the monitoring system. The method uses a computer program to carry out quantitative analysis on relations between each measuring point and each measuring value so as to ensure that the monitoring system can diagnose whether the abnormal measuring values are initiated by self faults or not so as to avoid unnecessary economic and social cost investment brought by incorrect alarm caused by incorrect judge to be convenient to adopt measures timely to maintain the monitoring system, so the intelligent level and robustness of the structure monitoring system are improved, and the practicability is greater.

Description

technical field [0001] The invention belongs to the field of structural monitoring, and in particular relates to an analysis and judgment method for the health status of the monitoring system itself. Background technique [0002] At present, the long-term monitoring of large structures has been paid more and more attention. During the monitoring process, sometimes the system will fail. Especially, the monitoring period of bridges and other structures is generally much longer than the validity period of the monitoring equipment, so the damage of monitoring equipment is inevitable. The damage of monitoring equipment is often accompanied by the generation of abnormal measured values, and there are two main reasons for the generation of abnormal information: ① it is really caused by the deterioration of the structure itself; ② the monitoring system itself is faulty. If the fault of the monitoring system itself is mistakenly treated as a structural abnormality, false alarms may o...

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Problems solved by technology

[0003] The present invention aims at the present situation that although the current structural monitoring system is difficult to avoid failures, but the reliability of the monitoring system is affected due to insufficient intelligence, it is based on "when the monitoring system is working normally, the structural change should According to the principle of "all point measurements have influence", the relationship between the measured values ​​is quantified by the gray correlation degree, and a fault self-diagnosis method for structural monitoring systems based on the cluster analysis of the gray correlation degree between the measured values ​​is proposed.

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