摘要
Abstract
To address the issues of coarse regulation and delayed response in conventional nitrogen and phosphorus removal processes,technologies including the internet of things,digital twin,and machine learning are integrated to develop an intelligent system that combines water quality anomaly traceability,smart chemical dosing,and coordinated process control.Operational results indicate that the system can rapidly and accurately identify the sources of water quality anomalies,effectively reduce the consumption of carbon sources and phosphorus removal chemicals,and significantly shorten the process shock-response time.The integrated application of this system substantially enhances the perception,diagnosis,and optimization capabilities of wastewater treatment processes.关键词
污水处理/脱氮除磷/智慧化调控/模型预测控制Key words
wastewater treatment/nitrogen and phosphorus removal/intelligent regulation/model predictive control分类
资源环境
