龔琪慧，張 駿，胡 晶，劉 康

　　(長江信達軟件技術(武漢)有限責任公司，湖北 武漢 430014)

　　摘 要：為提高河長制工作效率和水環境治理能力，提出實現智慧河長系統的關鍵技術和應用實現方案。針對河湖監管水平較低、信息化資源共享程度低和精細化監督管理水平較低等問題，通過水質水量自動監測、工業企業污染溯源監測、視頻監控、無人機與衛星遙感監測形成空天地一體化前端感知體系，研究河長制數據整合匯聚、大數據分析和AI圖像識別等智慧河長系統關鍵技術，采用智慧感知層、基礎設施層、大數據中心層、支撐平臺層、應用系統層、用戶層6層架構構建智慧河長系統，實現水質分析、污染溯源、岸線監管、水面異常監管等重要功能。實現河長制工作從前端感知、后臺分析、輔助決策全過程智能化管理，有效解決河長制工作中河長履職監管和河湖數據整合等難題。

　　關鍵詞：智慧河長系統;空天地一體化;前端感知;數據匯聚;AI圖像識別;大數據;關鍵技術

　　Research and application of key technologies of smart river chief system

　　GONG Qihui，ZHANG Jun，HU Jing，LIU Kang

　　(Changjiang Schinta Software Technology Co.，Ltd. Wuhan，Wuhan 430014，China)

　　Abstract：To improve efficiency of the river chief system and water environment restoration, the key technologies and their application scheme of the smart river chief system are proposed. Due to problems such as “weak governance of rivers and lakes”, “less information resource sharing” and “weakly fine management” in the work of the river chief system, a front-end perception system on space-air-ground integration is formed through automatic monitoring of water quality and quantity, tracing and monitoring of industrial pollution, video monitoring, drones and satellite remote sensing monitoring. Key technologies of the smart river chief system, such as data collection and integration of river chief system, big data analysis, AI image recognition are studied. The smart river chief system has been developed with a six-layer structure: intelligent perception layer, infrastructure layer, big data center layer, support platform layer, application system layer and user layer, to realize important functions such as water quality analysis, pollution tracing, shoreline supervision, and emergency monitoring. Through application of key technologies, the intelligent management of whole process of the river chief system from front-end perception, back-end analysis to decision-making support has been realized. The problems in the work of the river chief system, such as duty supervision of the river chief and data integration of rivers and lakes have been effectively solved.

　　Key words：smart river chief system;space-air-ground integration;front-end perception;data collection;AI image recognition;big data;key technologies