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Application of Fuzzy Logic for Predicting of Mine Fire in Underground Coal Mine

Safety and Health at Work 2020년 11권 3호 p.322 ~ 334
Danish Esmatullah, Onder Mustafa,
소속 상세정보
 ( Danish Esmatullah ) - Kabul Polytechnic University Underground Mining Engineering Department
 ( Onder Mustafa ) - Eskisehir Osmangazi University Mining Engineering Department

Abstract


Background: Spontaneous combustion of coal is one of the factors which causes direct or indirect gas and dust explosion, mine fire, the release of toxic gases, loss of reserve, and loss of miners' life. To avoid these incidents, the prediction of spontaneous combustion is essential. The safety of miner's in the mining field can be assured if the prediction of a coal fire is carried out at an early stage.

Method: Adularya Underground Coal Mine which is fully mechanized with longwall mining method was selected as a case study area. The data collected for 2017, by sensors from ten gas monitoring stations were used for the simulation and prediction of a coal fire. In this study, the fuzzy logic model is used because of the uncertainties, nonlinearity, and imprecise variables in the data. For coal fire prediction, CO, O2, N2, and temperature were used as input variables whereas fire intensity was considered as the output variable.The simulation of the model is carried out using the Mamdani inference system and run by the Fuzzy Logic Toolbox in MATLAB.

Results: The results showed that the fuzzy logic system is more reliable in predicting fire intensity with respect to uncertainties and nonlinearities of the data. It also indicates that the 1409 and 610/2B gas station points have a greater chance of causing spontaneous combustion and therefore require a precautional measure.

Conclusion: The fuzzy logic model shows higher probability in predicting fire intensity with the simultaneous application of many variables compared with Graham's index.

키워드

fire intensity; fuzzy logic model; mine fire prediction; spontaneous combustion

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