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[1]王少锋,仲济祥,王建国,等.基于物联网的油气管道远程数据采集系统开发[J].油气储运,2018,37(4):443-448.[doi:10.6047/j.issn.1000-8241.2018.04.013]
　WANG Shaofeng,ZHONG Jixiang,WANG Jianguo,et al.Remote data acquisition system for oil and gas pipelines based on Internet of Things[J].Oil & Gas Storage and Transportation,2018,37(4):443-448.[doi:10.6047/j.issn.1000-8241.2018.04.013]
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基于物联网的油气管道远程数据采集系统开发

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 37 期数: 2018年第4期 页码: 443-448 栏目: 设计与施工 出版日期: 2018-04-25
Title:
Remote data acquisition system for oil and gas pipelines based on Internet of Things
文章编号:
1000-8241（2018）04-0443-06
作者:
王少锋1; 仲济祥1; 王建国1; 祝祥亚1; 朱进超2; 徐鑫2
1. 内蒙古科技大学机械工程学院；2. 苏州经贸职业技术学院机电与信息技术学院
Author(s):
WANG Shaofeng1;  ZHONG Jixiang1;  WANG Jianguo1;  ZHU Xiangya1;  ZHU Jinchao2;  XU Xin2
1. Mechanical Engineering School, Inner Mongolia University of Science & Technology; 2. Mechatronics & Information College, Suzhou Institute of Trade & Commerce
关键词:
油气管道; 物联网; 远程采集; Workerman; Laraval; Vue.js
Keywords:
oil and gas pipeline;  Internet of Things;  remote acquisition;  Workerman;  Laraval;  Vue.js
分类号:
TE832
DOI:
10.6047/j.issn.1000-8241.2018.04.013
文献标志码:
A
摘要:
基于油气管道在线监测技术的发展，搭建了一种基于物联网的油气管道远程数据采集系统。 利用数据采集节点终端采集油气管道的温度以及管道泄漏弹性波的信号数据，配合数据汇聚节点 将信号数据上传至服务器；利用Workerman 框架建立了一个监听服务器端口的Worker 容器，以 监听数据汇聚节点上传数据；采用MVC 后台管理框架PHP Laraval，利用其中的数据库交互机制 Eloquent ORM，通过ActiveRecord 实现与数据库的交互；采用Vue.js 前端JavaScript MVC 框架，搭 建一个单页面界面；利用Highchats 呈现管道的信号数据图形。用户可以利用浏览器登录系统查看 油气管道的实时信号数据，摆脱了单独使用传感器网络的规模距离限制，实现了对油气管道的全天 候远程实时监控。（图7，参20）
Abstract:
With the development of the online monitoring technologies of oil and gas pipeline, a kind of remote data acquisition system for oil and gas pipeline based on the Internet of Things is built up. First, oil and gas pipeline temperature and the signal data of elastic wave of pipeline leakage are acquired using the data acquisition node terminal, and then uploaded to the server by means of the data aggregation node. Second, a Worker container for monitoring the server port is established using the Workerman framework to monitor the uploaded data at the data aggregation node. Third, the MVC backstage management framework PHP Laraval is adopted. Fourth, the database interaction mechanism Eloquent ORM is used and the interaction with database is realized by means of ActiveRecord. Fifth, a single-page interface is created using the Vue.js front frame JavaScript MVC. And sixth, the signal data graphs of pipelines are presented using Highchats. By virtue of this system, the clients can log in the software system instantaneously through the browser to view the real-time signal data of oil and gas pipelines, so that single-use scale and distance restrictions of sensor network are eliminated and the remote real-time monitoring of oil and gas pipelines is realized. (7 Figures, 20 References)

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备注/Memo

基金项目：国家自然科学基金资助项目“基于无线声发射传感器网络的立体管网微泄漏检测方法研究”，51565047；内蒙古自治区自然科学基金博士基金资助项目“立体管网微泄漏的声发射源实时监测研究”，E050302；内蒙古自治区高等学校科学研究项目“管道泄漏的声发射源探测与定位方法研究”，NJZY154；内蒙古自治区研究生创新基金资助项目“油气管网无线监测定位研究”，S20151012706；内蒙古科技大学创新基金资助项目“基于无线传感器网络的矿井有害气体实时监测系统研究”，2016122。
作者简介：王少锋，男，1980 年生，副教授，2014 年博士毕业于西安交通大学机械制造及自动化专业，现主要从事复杂机械系统故障监测与诊断以及数字化装配与链接技术领域的研究工作。地址：内蒙古包头市昆都仑区阿尔丁大街7 号，014010。电话：15149369026，Email：wsffree@126.com

更新日期/Last Update: 2018-04-15