Hydropower equipment temperature intelligent sensing and decision method and device

Abstract

The present application relates to the field of intelligent monitoring of hydroelectric equipment, in particular to a kind of hydroelectric equipment temperature intelligent perception and decision method and device, wherein the method comprises the following steps: collecting the temperature of each measuring point of hydroelectric equipment and environmental associated temperature data as original data set, after the original data is preprocessed, obtain standardized temperature data set;Time series trend fitting and spatial measuring point correlation analysis are carried out on the standardized temperature data set, its time domain variation rate and space coupling degree characteristics are extracted, and temperature feature set is formed;Temperature feature set is input into pre-training heat state evaluation model, and model dynamic parameter adjustment is completed in combination with equipment operating parameter, and the real-time heat state grade and state deviation value of equipment are output;According to real-time heat state grade and state deviation value, in combination with equipment historical fault data, threshold self-learning correction is carried out, and dynamic early warning threshold of multiple risk grades is generated;Dynamic early warning threshold is compared with real-time heat state grade.

Images