|本期目录/Table of Contents|

[1]王 正a,冉隆毅a,夏洪永a,等.物联网技术在管网泄漏监测系统的应用研究[J].工业仪表与自动化装置,2020,(03):126-131.[doi:1000-0682(2020)03-0000-00]
　WANG Zhenga,RAN Longyia,XIA Hongyonga,et al.Application research on the Internet of Things in pipeline leak monitoring system[J].Industrial Instrumentation & Automation,2020,(03):126-131.[doi:1000-0682(2020)03-0000-00]
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物联网技术在管网泄漏监测系统的应用研究

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2020年03期
页码:
126-131
栏目:
出版日期:
2020-06-15

文章信息/Info

Title:
Application research on the Internet of Things in pipeline leak monitoring system
作者:
王 正a; 冉隆毅a; 夏洪永a; 刘利亚b
1. 重庆化工职业学院 a. 大数据与自动化学院；b. 制药工程学院，重庆 401220
Author(s):
WANG Zhenga;  RAN Longyia;  XIA Hongyonga;  LIU Liyab
a. College of Big Data and Automation;b. College of Pharmaceutical Engineering, Chongqing Chemical Industry Vocational College, Chongqing 401220, China
关键词:
物联网; 在线监测; 智能定位; 数据整合
Keywords:
Internet of Things;  on-line monitoring;  intelligent location;  data integration
分类号:
TE973.6TP391.44TN929.5
DOI:
1000-0682(2020)03-0000-00
文献标志码:
A
摘要:
为了提高管网泄漏监测系统的数据化、智能化，该文提出了一种基于物联网技术的管网泄漏在线监测系统。该方法由现场前端控制器采集管道负压波、温度、流量等数据，前端控制器之间可进行相互通信，站点处设置站点控制器，前端与前端、前端与站点、站点与站点之间构成传感器和前端网络模式，相互之间交换数据，以便于更快、更准地传输泄漏信号到监控平台。经过前期研究与实验验证，该方法能完成管网泄漏的在线监测、数据整合及智能定位。
Abstract:
In order to improve the datamation and intelligence of the pipeline leak monitoring system, this paper proposes a kind of pipeline leak monitoring system based on Internet of Things technology.In this method,the pipeline negative pressure wave,temperature,flow rate and other data are collected by the field front controller,the front-end controllers can communicate with each other, and the site controllers are set up out of the site,between the front and the front,front and site,site and site constitute sensor and exchange data between each other.To facilitate faster and more accurate transmission of leakage signals to the monitoring platform.Through the early research and experimental verification,this method can complete the online monitoring, data integration and intelligent location of pipe network leakage.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2019-11-19
基金项目：重庆市教育委员会科学技术研究计划青年项目资助项目（KJQN201804503）
作者简介：王正，讲师，硕士，研究领域为智能控制系统。
更新日期/Last Update: 1900-01-01