A Boiler Flame Detecting System Based on TMS320DM642

被引：1
|
作者：
Duan, Rong-xing [1 ]
Wu, Jian-hua [1 ]
Zhao, Zhi-bin [1 ]
Zhang, Yun [2 ]
机构：
[1] Nanchang Univ, Sch Informat Engn, Nanchang 330031, Peoples R China
[2] Nanchang Longyuan Combust & Control Technol Co Lt, Nanchang, Jiangxi, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS | 2009年
关键词：
DM642; flame image; FCM; combustion states;
D O I：
10.1109/AICI.2009.201
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The safety and efficiency of boiler operation are always determined by the combustion stability of boiler in power plants. In order to acquire the flame states precisely from the boiler in real time, a new boiler flame detecting system based on TMS320DM642 (DM642) is designed, and this paper focuses on the hardware design, the algorithm design based on Fuzzy C-Means (FCM), as well as the system integration. The detecting system is tested with flame image data retrieved from a burner in a power plant in southeast China, and the results indicate the advantage of efficiency, real time and stability of this system.
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页码：104 / +
页数：2
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