• DocumentCode
    3367433
  • Title

    The research and development of DSP-based crane intelligent monitoring device

  • Author

    Hong, Zhou ; Cheng, Yang ; QiJun, Deng ; Mingye, Xia

  • Author_Institution
    Dept. of Autom., Wuhan Univ., Wuhan, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    3524
  • Lastpage
    3527
  • Abstract
    Crane and its industry play a very important role in the national economy. At present, the crane industry developed more and more mature, but the development of crane´s monitoring device is lagging. These factors affect the further improvement of the level of the whole crane industry. At the same time, these factors also lead to the user´s difficult and ineffective management of the crane´s monitor in practice. So there are some security risks during the operation of the crane. In response to this situation, this research, which research object is the hydraulic crane, has analyzed the defect existed in the modeling of the load and torque model of the hydraulic crane at home and abroad. We proposed a new method, which combined the theoretical modeling method and the data analysis modeling method. And on this basis, we have designed the entire crane monitoring system device with the design of its hardware and software. So in this paper, we will research and analyze the concrete realization of the entire equipment in detail.
  • Keywords
    computerised monitoring; cranes; data analysis; security; DSP based crane intelligent monitoring device; crane industry; data analysis modeling method; hydraulic crane; load model; national economy; security risk; torque model; Condition monitoring; Cranes; Digital signal processing; Hardware; Intelligent sensors; Load modeling; Power generation economics; Remote monitoring; Research and development; Torque; Crane; DSP; Intelligent Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536676
  • Filename
    5536676