沈建剛1，顏 超2

　　(1.上海市大數據中心，上海 200050;

　　2.上海開瀾軟件有限公司，上海 200050)

　　摘 要：為改善上海市河道水環境，針對現有河湖水質存在的問題，依靠信息化和數字化技術，匯聚各類水質相關數據，開展數據整合與分析，推出河道水質變化三級報警預警，建立相應業務處置機制和流程，探索河湖水質智能化應用，重點研究河湖水質數據監測、變化趨勢分析、波動報警預警、整改處置和結果反饋等5個環節閉環管理。通過河湖水質智能應用研究，并在上海市河長制辦公室工作平臺和城市運行“一網統管”水務專題中進行實際應用。實際應用表明：河湖水質智能應用可有效發揮作用，強化對河湖水質惡化等問題的持續跟蹤和有效監督，提高河湖水質治理效率，推進河湖協同治理，有效改善河湖水環境質量。

　　關鍵詞：多源數據;數據整合;河湖;水質;智能應用;報警預警;閉環聚合

　　Research on intelligent application of river and lake water quality based on multi-source data integration

　　SHEN Jian'gang1，YAN Chao2

　　(1. Shanghai Municipal Big Data Center，Shanghai 200050，China;

　　2. Kalends Software Shanghai Ltd.，Shanghai 200050，China)

　　Abstract: In order to improve the river water environment in Shanghai, in view of the existing problems of river and lake water quality, relying on informatization and digitalization technology, the research gathers all kinds of water quality related data, carries out data integration and analysis, launches three-level alarm and early warning of river water quality change, establishes corresponding business disposal mechanism and process, explores the intelligent application of river and lake water quality. The research focuses on closed-loop management of five links, including river and lake water quality data monitoring, change trend analysis, fluctuation alarm and early warning, rectification and disposal, and result feedback. Through the research on the intelligent application of river and lake water quality, it has been applied in the working platform of Shanghai River governor's office and the special topic of “unified management of one network” in urban operation. The practical application shows that the intelligent application of river and lake water quality can play an effective role, strengthen the continuous tracking and effective supervision of the deterioration of river and lake water quality, improve the efficiency of river and lake water quality treatment, promote the coordinated treatment of river and lake, and effectively improve river and lake water environment quality.

　　Key words: multi-source data;data integration; rivers and lakes;water quality;intelligent application;alarm and early warning;closed-loop aggregation