Computer monitoring method suitable for hydropower station fault early warning

Abstract

The invention discloses a computer monitoring method suitable for hydropower station fault early warning, and the method comprises the steps: collecting historical operation data and real-time operation data of hydropower station monitoring, preprocessing the data, and storing the preprocessed data in a database in a classified manner; extracting feature data in the historical operation data, and training a constructed fault analysis and diagnosis model by using the feature data; and inputting the real-time operation data into a trained fault analysis and diagnosis model, outputting a fault analysis and diagnosis result, and performing real-time early warning on the fault information to realize real-time monitoring of the fault information of the hydropower station. According to the invention, the computer monitoring system monitors the operation state data of the hydropower station in real time, and can diagnose the fault according to the operation state data and perform early warning on the fault, thereby improving the efficiency of fault diagnosis, and improving the safety and reliability of the operation of the hydropower station.

Description

technical field [0001] The invention relates to the technical field of safety management and fault monitoring of hydropower stations, in particular to a computer monitoring method suitable for early warning of hydropower station faults. Background technique [0002] In recent years, newly built large and medium-sized hydropower stations have basically adopted computer monitoring systems. The power generation monitoring system of the hydropower station can collect and process various equipment information of the hydropower station, and realize automatic monitoring, control, adjustment and protection, so as to ensure the safe and stable operation of the hydropower station equipment to make full use of water energy, and realize unattended or few people on duty . Specifically, it has the following advantages: reducing staff and increasing efficiency, reforming the on-duty mode of hydropower stations; optimizing operation, improving the power generation efficiency of hydropower ...

AI Technical Summary

Problems solved by technology

However, during the operation of the current hydropower station safety monitoring automation system, most of the early warning thresholds or early warning ranges of corresponding monitoring parameters are set. The monitoring parameters are used to manually analyze the cause of the early warning and the fault factors corresponding to the monitoring parameters. This kind of diagnosis method relies on manual experience and judgment. It is not convenient and intelligent enough in the actual implementation process and needs to be improved.

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