Research on Monitoring of Oil Metal Particle Pollution in Operation of Hydroelectric Generating Units Based on Internet of Things

Abstract

Abstract Environmental protection has become very important in recent years. Traditional methods ignore the characteristics of metal particle pollution extraction in operating oil, which leads to low monitoring accuracy and low efficiency. Therefore, a monitoring method based on soft computing for oil pollution and metal pollution in the operation of a hydro-generator set is proposed in this article. The signal characteristics of oil and metal particles in the operation of a hydro-generator set are extracted by combining the maximum overlapping discrete wavelet transform method and the optimal decomposition level method to complete monitoring. The results show that the proposed method can accurately monitor the metal particle pollutants in the operating oil of hydroelectric generating units and has high execution efficiency. The proposed method will certainly assist in protecting the environment by monitoring carbon emissions and pollution through metal particles in the oil.