以物联网技术为核心的污水管网预警系统  

Research on early warning system of sewage pipe network based on Internet of Things technology

作　　者：宋雷震[1] SONG Leizhen(School of Intelligent Manufacturing,Huainan Union University,Huainan 232038,China)

机构地区：[1]淮南联合大学智能制造学院,淮南232038

出　　处：《青岛理工大学学报》2022年第5期143-148,共6页Journal of Qingdao University of Technology

基　　金：2020年安徽高校优秀青年人才支持计划项目(gxyq2020118);2019校级技术研究中心项目(LZX1902)。

摘　　要：随着城市排水能力和防洪抗灾需求的不断增加,对城市污水管网的运行提出了更高的要求。提出了基于物联网技术的污水管网预警系统,通过对数据采集层、通信层等5个层次的设计,结合广度优先搜索算法分析污水管网的连通性。该系统能有效实现污水管网的运行监测和移位预警,其准确率高达98.7%,漏报率3.3%,最短报警时长仅为0.21 s。此次研究对于今后洪涝风险控制具有重要的意义。The demand for the capacity of urban drainage,flood control and disaster resistance of relevant management departments of sewage pipe network is increasing.A sewage pipe network early warning system combined with the Internet of Things technology is proposed.With the support of the characteristics of the Internet of Things technology,a sewage pipe early warning system covering five levels,such as the data acquisition layer and the communication layer,is designed,and breadth first search algorithm is used to analyze the connectivity of sewage pipes.The empirical analysis of the early warning system shows that the system can effectively realize the operation monitoring and shift warning of sewage pipe network.Its accuracy rate is as high as 98.7%,the alarm failure rate is 3.3%,and the shortest alarm time is only 0.21 s.This study is of great significance in flood risk control in the future.

关 键 词：污水管网 物联网 广度优先搜索算法 在线检测 预警系统 

分 类 号：TP3-05[自动化与计算机技术—计算机科学与技术] TP277