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
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