Study on the forecast method for underground coal mine

• 来源期刊: 煤炭学报（英文版）
• 年，卷（期）: 2006,（2）
• 页码范围: 94-96
• 页数: 3页
• 语种: 英文

摘要

At present, coal mine fires were for ecasted 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.