• DocumentCode
    2639533
  • Title

    Elevator Group Control System Based on Information Fusion Technology

  • Author

    Cao, Liting ; Tian, Jingwen ; Zhang, Zhaoli

  • Author_Institution
    Beijing Union Univ., Beijing
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    473
  • Lastpage
    473
  • Abstract
    An elevator group control system based on information fusion is presented in this paper. The control system is consisting of data processing unit and elevator dispatching unit mainly. A fuzzy ANN based on data fusion technology is proposed in the data processing unit to process state signals, and the fusion result is used as the input of elevator dispatching unit. The simulation is in allusion to the data of an office building by MATLAB. Comparing with normal fuzzy ANN, the fuzzy ANN based on data fusion of single elevator reduced the complexity of elevator dispatching unit and improve the response speed. The elevator dispatching pattern is optimized, the service quality of elevator is improved, and the transportation efficiency of elevator is increased by using this control system. The system in this paper can be put in practice to realize automatically optimized dispatching of elevator group and produce enormous economy benefit.
  • Keywords
    fuzzy neural nets; lifts; position control; sensor fusion; data fusion; data processing unit; elevator dispatching pattern; elevator dispatching unit; elevator group control system; fuzzy ANN; information fusion; service quality; transportation efficiency; Artificial neural networks; Automatic control; Control systems; Data processing; Dispatching; Elevators; Intelligent robots; Medical control systems; Process control; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.246
  • Filename
    4603662