工业废水污染源在线监测数据的异常检测研究  

Research on Anomaly Detection of Industrial Wastewater Pollution Source Online Monitoring Data

作　　者：邱传勇 Qiu Chuanyong(Shenzhen Shentai Environmental Technology Co.,Ltd.,Shenzhen 518000,China)

机构地区：[1]深圳深态环境科技有限公司,广东深圳518000

出　　处：《皮革制作与环保科技》2024年第13期11-13,共3页Leather Manufacture and Environmental Technology

摘　　要：本研究旨在开展工业废水污染源在线监测数据的异常检测。通过分析大量实时数据,并结合异常检测算法,我们能够有效识别和定位工业废水处理系统的异常情况。研究结果表明,该方法在提高监测效率和降低运营成本方面具有显著作用,对实现工业废水治理与环境保护具有重要意义。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.

关 键 词：工业废水 异常检测 在线监测 污染源 

分 类 号：TS5[轻工技术与工程—皮革化学与工程]