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Toxic and threatening gases are the most hazardous components of mine fires. Carbon monoxide is one of these lethal gases. It can be used to monitor the progression of fires in underground coal mines. The purpose of this study is to monitor mine fires using statistical process control. Using quality control charts, the lower and upper limits of the carbon monoxide measurement values were evaluated in the first stage. The variations in carbon monoxide readings caused by a mine fire were then analyzed using regression control charts. Positive slope changes indicated that the fire was spreading, while negative slope changes indicated that the fire had been extinguished and stable slope changes indicated that the fire was under control. By analyzing the time-dependent change of carbon monoxide in underground mines using this method, an effective methodology for controlling coal fires was established.

Application of Statistical Process Control to Monitor Underground Coal Mine Fires Based on CO Emissions