基于嵌入式系统的智慧管廊防灾预警系统设计
DOI:
CSTR:
作者:
作者单位:

1. 中铁(贵州)市政工程有限公司贵阳550003; 2. 北京建筑大学经济与管理工程学院北京100044;3. 北京工业大学北京市城市交通运行保障工程技术研究中心北京100124

作者简介:

通讯作者:

中图分类号:

TN806

基金项目:

地下综合管廊施工技术与智慧化管理系统研究(00362016168)、国家自然科学基金(51608019)、北京市优秀人才培养项目(2015000020124G035)、北京工业大学“日新人才”培养计划(2017RX(1)16)资助项目


Design of disaster early warning system for intelligent pipe gallery based on embedded system
Author:
Affiliation:

1. China Railway (Guizhou) Municipal Engineering Co., Ltd, Guiyang 550003, China; 2. School of Economics and Management Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China; 3. Beijing Engineering Research Center of Urban Transport Operation Guarantee, Beijing University of Technology, Beijing 100124, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    智慧管廊是智慧城市的“神经网络”,智慧管廊的安全稳定运营对城市发展、工业生产和居民日常生活有重要的意义。基于嵌入式系统设计了智慧管廊防灾预警系统,选用STM32F107互联型微处理器,实时在线监测管廊内部温度、天然气浓度等环境参数,对电力和燃气管道等重点区域进行全方位的监控,在环境参数超限时进行报警,并启动防灾装置,实现自动防灾预警功能。该系统的运用对保障综合管廊正常运营和居民正常生活具有重要的意义,并且可以与视频监控等系统进行联动,把管廊内部产生的大数据与智慧城市的管理相结合,助力智慧城市的发展。

    Abstract:

    Intelligent pipe gallery is the “neural network” of smart cities, The safe and stable operation of the intelligent pipe gallery have important significance to the development of the city, the industrial production and our daily life. Based on embedded system technology, the disaster early warning system for intelligent pipe gallery is designed. We select the STM32F107 Interconnected microprocessor, this System can monitor the environmental information such as gas concentration, temperature and so on. It will monitor power pipeline and gas pipeline and other key regions completely,and also has the functions to alarm when parameter values exceeds the threshold and to start the emergency devices. It has important significance to stable operation of the intelligent pipe gallery and our daily life. Additionally, the system can be linked with video monitoring system,it can combine the big data generated by the Intelligent pipe gallery with the urban management, to promote development of smart city.

    参考文献
    相似文献
    引证文献
引用本文

罗家木,陈雍君,邱实.基于嵌入式系统的智慧管廊防灾预警系统设计[J].电子测量技术,2017,40(5):123-128

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2017-07-13
  • 出版日期:
文章二维码