[1]曾洁,李旭,林峰,等.基于AI和空间大数据的排口溢流分析与溯源应用[J].中国给水排水,2026,42(14):51-54.
　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.
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基于AI和空间大数据的排口溢流分析与溯源应用

中国给水排水[ISSN:1000-4062/CN:12-1073/TU] 卷: 第42卷 期数: 2026年第14期 页码: 51-54 栏目: 出版日期: 2026-07-17
Title:
Outlet Overflow Analysis and Traceability Applications Based on AI and Spatial Big Data
作者:
曾洁， 李旭， 林峰， 苏洋， 李肖玉
（深圳市环境水务集团有限公司，广东 深圳 518000）
Author(s):
Zeng　Jie， Li　Xu， Lin　Feng， Su　Yang， Li　Xiaoyu
（Shenzhen Water and Environment Group Co. Ltd.， Shenzhen 518000， China）
关键词:
水环境创优;  排口管理数字化;  视觉AI;  排口溢流识别;  排口溯源
Keywords:
water environment optimization;  digitization of outlet management;  visual AI;  outlet overflow identification;  outlet traceability
摘要:
排放口精细化管理是实现排水系统提质增效和水环境创优的重要措施。结合空间大数据、视觉人工智能（AI）、机器学习算法等新技术，构建排口溢流识别深度学习模型和排口溢流高速溯源模型，实现AI排口智能溢流识别、排口溯源分析、工单长效闭环管理的数字化应用场景。以S市S河流域为例，提出排口管理数字化诊治模式，形成全链条闭环管控的数字化解决思路，AI排口智能溢流识别准确率超过90%，溯源连通性达89%，旱季河道溢流次数降低40%。
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.
更新日期/Last Update: 2026-07-17