• DocumentCode
    668792
  • Title

    Intelligent coal mine monitoring system based on the Internet of Things

  • Author

    Shushan Hu ; Cunchen Tang ; Riji Yu ; Feng Liu ; Xiaojun Wang

  • Author_Institution
    Int. Sch. of Software, Wuhan Univ., Wuhan, China
  • fYear
    2013
  • fDate
    20-22 Nov. 2013
  • Firstpage
    380
  • Lastpage
    384
  • Abstract
    Due to many people died in mine accident, the mine safety play a key role in mine produce process. By virtual of recent advancements in the Internet of Things, this paper proposes an intelligent monitoring system for coal mines, which aims at monitoring the coal mine produce process. The proposed sense network architecture is completed based on Controller Area Network (CAN) bus and ZigBee technology. The sense nodes work cycle, powered by batteries, is extended by specific work model. Position of miners can be obtained through inquiry routing tables of network nodes. Manage system is designed to provide services for mine managers. The proposed system can monitor the process of mining intelligently and warn miners and managers immediately when dangerous issues emerge, such as gas leaking and water leaking.
  • Keywords
    Internet of Things; Zigbee; coal; controller area networks; mining; CAN bus; ZigBee technology; controller area network; gas leaking; intelligent coal mine monitoring system; intelligent monitoring system; internet of things; mine accident; mine managers; mine produce process; mine safety; mining process; network nodes; routing tables; sense network architecture; warn miners; water leaking; Coal mining; Monitoring; Sensors; Servers; Wireless communication; Wireless sensor networks; Zigbee; CAN; Miner Locate; The Internet of Things; ZigBee; coal monitor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
  • Conference_Location
    Xianning
  • Print_ISBN
    978-1-4799-2859-0
  • Type

    conf

  • DOI
    10.1109/CECNet.2013.6703350
  • Filename
    6703350