Design and Implementation of Hydropower Station Monitoring System Based on Artificial Intelligence
Aiming at the key role of hydropower station monitoring system in safe and stable operation,a hydropower station monitoring system based on artificial intelligence is designed and implemented.The system adopts data acquisition,processing and analysis,application architecture,and uses wired and wireless data acquisition mode combined with Modbus protocol to ensure the stability and security of data transmission.Through data preprocessing,feature extraction and fault diagnosis algorithm,the real-time monitoring and fault diagnosis of hydropower station equipment status are realized.The experimental results show that the system has high data acquisition accuracy and real-time performance,and the fault diagnosis accuracy rate is over 95%,which significantly improves the safety and economy of hydropower station operation.This study provides a useful reference for the intelligent and automatic development of hydropower station monitoring system.
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