This study aims to conduct anomaly detection of industrial wastewater pollution source online monitoring data.By analyzing a large amount of real-time data and utilizing anomaly detection algorithms,we can effectively identify and locate anomalies in industrial wastewater treatment systems.The research results demonstrate that this method significantly improves monitoring efficiency and reduces operational costs,which is of great importance for industrial wastewater management and environmental protection.
维普
万方数据