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面向大规模、多区域的可燃气体远程监测预警技术
引用本文:马为红,范晋伟,吴华瑞,高荣华,侯建玮,黄贞.面向大规模、多区域的可燃气体远程监测预警技术[J].北京工业大学学报,2016,42(5):650-659.
作者姓名:马为红  范晋伟  吴华瑞  高荣华  侯建玮  黄贞
作者单位:北京工业大学机械工程与应用电子技术学院,北京 100124;国家农业智能装备工程技术研究中心,北京 100097;农业部农业信息技术重点实验室,北京 100097;农业智能装备技术北京市重点实验室,北京 100097;北京工业大学机械工程与应用电子技术学院,北京,100124;国家农业智能装备工程技术研究中心,北京 100097;农业部农业信息技术重点实验室,北京 100097;农业智能装备技术北京市重点实验室,北京 100097
基金项目:国家科技重大专项(2013ZX04011013),国家科技支撑计划资助项目(2013BAJ04B04)
摘    要:为了实现大规模、多区域的可燃气体的统一监测预警,使用无线传感器网络自组网技术、通用分组无线业务( general packet radio service, GPRS)无线传输技术和服务器数据库设计了可燃气体报警器采集节点、可燃气体报警器汇聚传输节点并完成服务器云管理平台的搭建。温湿度补偿算法提高了可燃气体报警器的采集精度,多级报警策略使可燃气体预警更智能,数据传输加密算法使数据传输更安全。系统可以应用在居民小区环境对可燃气体泄露智能预警。相关管理部门根据服务器云管理平台对预警信息及时处理并长期对监测数据进行统计分析。最后对搭建的远程可燃气体监测预警系统进行应用测试。结果表明:系统丢包率和用户收到预警信息时间间隔都满足可燃气体预警的实际要求。

关 键 词:可燃气体监测  无线传感器网络  智能预警  通用分组无线业务(general  packet  radio  service  GPRS)数据传输  服务器云管理平台

Remote Monitoring and Warning Technology for Combustible Gas in Large Scale and Multiple Regions
MA Weihong,FAN Jinwei,WU Huarui,GAO Ronghua,HOU Jianwei,HUANG Zhen.Remote Monitoring and Warning Technology for Combustible Gas in Large Scale and Multiple Regions[J].Journal of Beijing Polytechnic University,2016,42(5):650-659.
Authors:MA Weihong  FAN Jinwei  WU Huarui  GAO Ronghua  HOU Jianwei  HUANG Zhen
Abstract:To establish a unified platform for combustible gas monitoring and warning in large scale and multiple regions, the technology of wireless ad-hoc network and general packet radio service ( GPRS ) were used to the acquisition node and the convergence transmission node of combustible gas monitoring and warning. Meanwhile, a cloud management platform in a server were built by web and database technology. The algorithm of temperature and humidity compensation combined with multistage alarm strategy and data encryption made the system more accurate, secure and intelligent. The system has been used in residential area for combustible gas monitoring and warning. The management department could also make immediate decision and analysis data in a long term through the cloud management platform. Application test shows that both the packet loss rate and the time of receiving warning information are completely qualified.
Keywords:combustible gas monitoring  wireless sensor network ( WSN)  intelligent early warning  general packet radlo service (GPRS) data transmissim  cloud management platform in a server
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