• DocumentCode
    3699190
  • Title

    Design of elevator running parameters remote monitoring system based on Internet of Things

  • Author

    Xibo Wang;Hongshuai Ge;Wenbo Zhang;Yingzhen Li

  • Author_Institution
    School of Information Science and Engineering, Shenyang University of Technology, Shenyang, Liaoning Province, China
  • fYear
    2015
  • Firstpage
    549
  • Lastpage
    555
  • Abstract
    This paper constructed the overall design of the elevator running parameters remote monitoring system based on zigbee technology and GPRS network, combining with the concepts and features of IoT. For the remote communication server need to parallelly handle a large number of different level datagrams, we constructed a high concurrency UDP communication model by using the technologies such as JavaNIO, batch data processing, database connection pool and java synchronization. And designed a multi-queue thread pool with dynamic priority, ensure a large number of tasks are handled efficiently according to the different priority, most of threads in thread pool is busy, solve the problem of a large amount of overhead in life cycle of a thread and system resource shortage. Using framework of SpingMVC, MyBatis, Bootstrap, and Highcharts based on HTML 5 for joint development, building a remote monitoring platform. We reproduced the elevator running effect through the way of real-time simulation animation and save the high monitoring cost of video acquisition. And implemented the function: parameter acquisition, fault alarm and statistics, SMS alerts, remote stop and landing control. And the practical application effect of the system in Shenyang Bluelight group shows that the model is stable to work for large-scale underlying communication of multi-priority task and has a very good generality.
  • Keywords
    "Message systems","Elevators","Databases","Remote monitoring","Servers","Instruction sets"
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2015 6th IEEE International Conference on
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-8352-0
  • Electronic_ISBN
    2327-0594
  • Type

    conf

  • DOI
    10.1109/ICSESS.2015.7339118
  • Filename
    7339118