Vibration multivariate remote early warning method of hydroelectric generating set

Abstract

The invention discloses a vibration multivariate remote early warning method of a hydroelectric generating set. According to the method, a running vibration basic knowledge base and a fault data base of the hydroelectric generating set are built; running vibration data of the hydroelectric generating set are remotely monitored and obtained; vibration in the running process of the hydroelectric generating set is remotely and early warned, and safe running of the set is maintained. The basic knowledge base comprises the set vibration data normal range and warning range information; the set fault data base comprises possible causes of fault generating, categories of faults and the like. The method has the advantages that the basic knowledge base and the fault data base of the hydroelectric generating set are built, and therefore when vibration data out of the normal range recorded in the basic knowledge base appear in the set, the fault causes can be found through quick comparison of the fault data base; the aim of rapidly positioning and solving the faults of the set is achieved; the fault processing efficiency is improved, and the normal running of the set is effectively ensured.

Description

technical field [0001] The invention belongs to the technical field of hydroelectric power generation equipment, and in particular relates to a multivariable remote early warning method for vibration of a hydroelectric unit. Background technique [0002] The safe and stable operation of hydroelectric generating units is related to the safety of hydropower plants and social public safety. On August 17, 2009, the largest hydropower station built in Russia - the Sayano-Shushenskaya Hydropower Station had an unprecedented major accident in the history of hydropower at home and abroad. A total of 75 people were killed, 13 people were missing, the unit and some workshops were destroyed, and the loss of power station equipment and facilities was estimated to be about 7 billion rubles. The impact is immeasurable. According to the Russian accident investigation report and domestic expert analysis, the accident was mainly caused by excessive vibration of the unit. [0003] The "Sayan...

AI Technical Summary

Problems solved by technology

[0003] The "Sayang" accident exposed serious problems in the current hydropower plant's analysis and early warning of unit vibration overruns that affect safety. Under the background that hydropower plants are increasingly "unattended and few people are on duty", these problems will bring serious problems to the power plant. Safe operation brings great hidden dangers