Early prediction model of coal spontaneous combustion under variable oxygen environment in Linnancang Mine
Zhao Huanhuan1， Zhu Lingqi1, 2 ， Zhang Shan1， Li Hui1， Hu Lixin1， Sun Xintong1
1. School of Mining Engineering, North China University of Science and Technology, TangShan 063210, China；
2. Hebei Lab of Mining Development and Safety Technology, TangShan 063210, China
8 typical coal samples in Linnancang Mine were selected to artificially simulate coal spontaneous combustion in laboratory, programmed heating experiments were made under anoxic condition and four oxygen concentration conditions of 8 % , 12 % , 14 % and 17 %, which directly generated date of various gas components and made comparative analysis about the data through gas chromatography data processing system. Based on these results, CO2 / CO exponential formal prediction model was built. With the help of SPSS software, t method of calibration was used to make reliability test for it. In variable oxygen environment, the established exponential model was used to fit the rate of CO2 / CO concentration varied with the change of different temperature, and fitting correlation coefficient was high, which illustrated that the exponential function fitting method was viable to be early prediction model of spontaneous combustion .
赵欢欢1，朱令起1, 2，张 杉1，李 慧1，胡立新1，孙昕彤1. 变氧环境下林南仓矿煤自燃早期预测模型[J]. 煤炭与化工, 2017, 40(5): 1-5.
Zhao Huanhuan1， Zhu Lingqi1, 2,Zhang Shan1， Li Hui1， Hu Lixin1， Sun Xintong1. Early prediction model of coal spontaneous combustion under variable oxygen environment in Linnancang Mine. CCI, 2017, 40(5): 1-5.
