| Study on the forecast method for underground coal mine |
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| 作者姓名： | 孙继平 任慧 任兰铸 王坤 |
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| 作者单位： | [1]School of Mechanical Electronic and Information Engineering, China University of Mining and Technology （Beijing）, Beijing 100083, China [2]Automated Department, Communication University of China, Beijing 100024, China |
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| 基金项目： | Supported by Special Funded Project on PhD Subject for Colleges （20050290010） |
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| 摘 要： | At present, coal mine fires were forecasted with some temperature, smog, CO, CO2, etc, however, this method can＇t meet the requirements for safe production of coal mines in monitoring accuracy and validity. Overcoming these problems of foregone monitoring methods, using multi-parameters which include fire image, smog, CO, CO2, O2, etc, the paper put forward a synthetical analysis monitor with advanced technology of neural network. The research and application of this method has significance in theory and practical value for coal mine fire forecast.
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| 关 键 词： | 煤矿火灾 监测 防火 火焰图象 多参数 预测方法 |
Study on the forecast method for underground coal mine |
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| SUN Ji-ping, REN Hui, REN Lan-zh , WANG Kun , Beijing , China; . Automated.Study on the forecast method for underground coal mine[J].Journal of Coal Science & Engineering(China),2006,12(2):94-96. |
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| Authors: | SUN Ji-ping REN Hui REN Lan-zh WANG Kun Beijing China; Automated |
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| Affiliation: | 1. School of Mechanical Electronic and Information Engineering, China University of Mining and Technology (Beijing |
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| Abstract: | |
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| Keywords: | mine fire fire image multi-parameters forecast |
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