• DocumentCode
    441696
  • Title

    Coal gangue online recognition and automation selection system based on ARM and CAN bus

  • Author

    Ma, Xian-Min ; Song, Xiao-Ru

  • Author_Institution
    Dept. of Electr. & Control Eng., Xi´´an Univ. of Sci. & Technol., China
  • Volume
    2
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    988
  • Abstract
    ARM (advanced RISC machines) microcontroller is widely used in lots of fields with characteristics of high-performance, small volume, low power dissipation and low-cost exactly; CAN (controller area network) bus is a bus system. It is especially suited for networking "intelligent" I/O devices. In this paper, it is introduced to explore a new method for the coal dry selection that the coal gangue online recognition and automation selection system based on the newly ARM microcontroller (AT91M40800) and CAN bus (SJA1000) in brief. CPLD technology (EPM7128) is used to modulate time sequence and online update program. Firstly, the digital image processing technology and arithmetic is expatriated in particular. Then the design of the interface circuits is in detail discussed between the ARM microcontroller and the CAN bus, and last the flow diagram of the software is given. Experiments show that the design is successful.
  • Keywords
    coal; controller area networks; image processing; microcontrollers; programmable logic devices; reduced instruction set computing; ARM microcontroller; CAN bus; CPLD technology; advanced RISC machines; automation selection system; coal dry selection; coal gangue online recognition; controller area network; digital image processing technology; flow diagram; intelligent I/O devices; Automatic control; Automation; Control systems; Digital images; Intelligent networks; Machine intelligence; Microcontrollers; Modulation coding; Power dissipation; Reduced instruction set computing; ARM microcontroller; CAN Bus; CPLD; Coal gangue; Image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527087
  • Filename
    1527087