数字化赋能水质监测技术路径与实践OA

To improve the efficiency of water quality monitoring and management,this paper systematically analyzed the application status of digital technologies in the field of water quality monitoring and the key links that needed special attention,explored the implementation paths of digital empowerment for water quality monitoring,and elaborated on the effectiveness of practical applications in combination with actual cases.At present,there was still room for optimization in conventional monitoring processes,data sharing,technology integration and other aspects.Based on this,this paper proposed digital empowerment paths from 3 dimensions:the data acquisition layer,the data processing layer and the data analysis layer.The data acquisition layer guaranteed the quality of data sources by optimizing sensor selection,layout strategies,communication technologies and data preprocessing.The data processing layer improved the efficiency of data processing and the accuracy of water quality anomaly monitoring through algorithm optimization and the construction of machine learning and deep learning models.Relying on intelligent identification,trend prediction and data visualization technologies,the data analysis layer provided data support for water quality management.The application practices of the"digital mulan river"model and the"electronic river chief"system showed that the digital water quality monitoring system could realize real-time whole-process monitoring,intelligent judgment and efficient regulation of water quality,effectively improve the level of water quality management and reduce the cost of pollution control.This paper provided a reference for digital empowerment of water quality monitoring in similar regions.