Research on Influencing Factors of Coal Spontaneous Combustion Tendency Based on Stacking-SHAP
To accurately predict the spontaneous combustion tendency of coal,explore the contribution degree of different coal sample properties to coal spontaneous combustion tendency,and propose a coal spontaneous combustion tendency prediction model based on Stacking-SHAP.Both the intrinsic properties of coal and the comprehensive judgment index of its spontaneous combustion propensity are taken as model inputs and outputs.The model integrates Support Vector Regression(SVR),Extreme Gradient Boosting(XGBoost),RandomForest(RF),and Gradient Boosting Decision Tree(GBDT),optimizing the parameters of each base model using grid search.Additionally,the SHAP algorithm is employed to calculate the contribution of different influencing factors.The results show that the optimized R2 coefficients for SVR,XGBoost,RF,GBDT,and Stacking are 0.933,0.887,0.950,0.925,and 0.984,respectively.Among the influencing factors of coal spontaneous combustion propensity,the most important features are oxygen content,volatile matter content,peak area of aliphatic hydrocarbons,C/H,peak area of hydroxyl groups,and total pore volume,totaling six features.The establishment of the model provides a new method for predicting coal spontaneous combustion propensity and preventing coal spontaneous combustion disasters.
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