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基于污水空间大数据的城市排水监管模式探索

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摘要 文章通过采用地理信息、大数据、物联网等主流信息化技术手段,整合污水管网空间数据、管网运行监测数据、重点排水户数据以及日常监管数据,进行污水管网运行可视化分析;建立数据关联预警分析模型,进行污水漫溢预警、雨污混接等应用;同时打通与环卫、城管等协同部门的信息通道,实现排水监管快速响应及处置,从而促进排水监管工作的智慧化发展。 Using mainstream information technology means such as geographic information,big data and Internet of things,this paper integrates the spatial data of sewage pipe network,the monitoring data of pipe network operation,the data of key drainage households and daily supervision data,and carries on the visual analysis of the operation of sewage pipe network.This paper establishes a data association early warning analysis model for sewage overflow early warning,rain and pollution mixing and other applications.At the same time,thie paper opens the information channel with sanitation,urban management and other collaborative departments to achieve rapid response and disposal of drainage supervision,so as to promote the smart development of drainage supervision.
出处 《科技创新与应用》 2022年第17期54-58,共5页 Technology Innovation and Application
关键词 污水空间大数据 漫溢预警 城市排水 智慧监管 sewage space big data overflow early warning urban drainage smart supervision
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