ZengJie,LiXu,LinFeng,et al.Outlet Overflow Analysis and Traceability Applications Based on AI and Spatial Big Data[J].China Water & Wastewater,2026,42(14):51-54.
Outlet Overflow Analysis and Traceability Applications Based on AI and Spatial Big Data
China Water & Wastewater[ISSN:1000-4062/CN:12-1073/TU]
volume:
第42卷
Number:
第14期
Page:
51-54
Column:
Date of publication:
2026-07-17
- Keywords:
- water environment optimization; digitization of outlet management; visual AI; outlet overflow identification; outlet traceability
- Abstract:
- Clarified management of outlets is an important gripper in realizing the quality and efficiency improvement of the drainage system and the creation of an optimal water environment. Combining spatial big data, visual artificial intelligence (AI), machine learning algorithms and other new technologies, this study devolps a deep learning model of outlet overflow identification and high-speed traceability of outlet overflow, to realize the digital application scenarios including AI-powered intelligent identification of outlet overflow, traceability analysis of outlets, and long-term closed-loop management of work orders. Taking the S River watershed in S City as an example, this study proposes a digital diagnosis and treatment model for outlet management, forming a digital solution concept for whole-chain closed-loop control. The results show the AI intelligent identification of outlet overflow achieves an accuracy rate of over 90%, and the traceability connectivity reaches 89%, and the number of river overflows reduces 40% in the dry season.
Last Update:
2026-07-17