Construction of Coal Spontaneous Combustion Prediction Model
Xiaoli Liu
Abstract
Xiaoli Liu
Abstract
Coal spontaneous combustion is one of the most serious natural disasters in coal mines, it seriously affects the normal production of a mine. The early prediction of spontaneous combustion is vital for preventing spontaneous combustion of coal seam. Gas analysis method was mainly used for the prediction of coal spontaneous combustion, the indicator gases for the prediction of coal spontaneous combustion were determined through coal heating and oxidizing experiments; the confidence of the indicator gases was analyzed with gray correlation analysis method. According to experimental data and analyzing results, a mathematic model for indicator gas and coal temperature was constructed. Based on this, a prediction system for coal spontaneous combustion was developed.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Coal spontaneous combustion is one of the most serious natural disasters in coal mines, it seriously affects the normal production of a mine. The early prediction of spontaneous combustion is vital for preventing spontaneous combustion of coal seam. Gas analysis method was mainly used for the prediction of coal spontaneous combustion, the indicator gases for the prediction of coal spontaneous combustion were determined through coal heating and oxidizing experiments; the confidence of the indicator gases was analyzed with gray correlation analysis method. According to experimental data and analyzing results, a mathematic model for indicator gas and coal temperature was constructed. Based on this, a prediction system for coal spontaneous combustion was developed.
Key concepts: Spontaneous combustion, Coal, Combustion, Coal mining, Petroleum engineering, Environmental science, Coal combustion products, Oxidizing agent