| 煤矿井下带式输送机智能型火灾报警系统 |
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| 引用本文： | 韩莹,赵国材,李琨. 煤矿井下带式输送机智能型火灾报警系统[J]. 煤矿机电, 2007, 0(5): 84-86 |
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| 作者姓名： | 韩莹 赵国材 李琨 |
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| 作者单位： | 辽宁工程技术大学,电气与控制工程学院,辽宁,葫芦岛,125000 |
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| 摘 要： | 应用模糊控制理论,结合神经网络算法,设计了基于模糊神经网络的智能型火灾报警系统,不仅提高了系统精度,而且将气味传感器应用于带式输送机胶带火灾检测。仿真结果表明,能提高系统对井下环境适应能力,减少误报率。
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| 关 键 词： | 带式输送机 模糊神经网络 气味传感器 火灾报警 |
| 文章编号： | 1001-0874（2007）05-0084-03 |
| 修稿时间： | 2007-04-19 |
Intelligent Fire Alarm System for Belt Conveyors Underground Coal Mine |
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| HAN Ying,ZHAO Guo-cai,LI Kun. Intelligent Fire Alarm System for Belt Conveyors Underground Coal Mine[J]. Colliery Mechanical & Electrical Technology, 2007, 0(5): 84-86 |
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| Authors: | HAN Ying ZHAO Guo-cai LI Kun |
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| Affiliation: | Department of Electrical and Control Engineering, Liaoning Technology University, Huludao 125000, China |
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| Abstract: | By using the fuzzy control theory and combining with the neural network algorithm, the intelligent fire alarm system based on the fuzzy neural network is designed. It not only raises the accuracy of the system but also makes the odor sensor use for the fire detection of conveying belt. The simulation result shows that the system can heighten the adaptability to the underground environment and reduce the probability of false alarms. |
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| Keywords: | belt conveyor fuzzy neural network odor sensor fire alarm |
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