Application of trend surface analysis in early warning model of coal mine gas explosion

4th International Conference on Energy Equipment Science and Engineering

Sun, Yuhang^1 ; Tang, Shoufeng^1 ; Tong, Ziyuan^2 ; Tong, Minming^1 ; Xu, Chaoliang^3

China University of Mining and Technology, School of Information and Control Engineering, Xuzhou

221000, China^1

University of New South Wales, School of Communication and Electricity, NSW

1466, Australia^2

Xuzhou Hanlin Technology Co Ltd., Xuzhou

221000, China^3

关键词: Comprehensive information;    Discrete data;    Early-warning models;    Gas explosions;    Mine gas explosions;    Oxygen concentrations;    Trend-surface analysis;    Warning models;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/242/2/022015/pdf
DOI  :  10.1088/1755-1315/242/2/022015

来源: IOP

【 摘 要 】

Aiming at the catastrophic problem of common coal mine gas explosion, this paper combines the trend surface analysis method to establish a gas explosion warning model, and validates the model through actual data, and the model has good robustness. Through the data fusion of the comprehensive information of gas explosion, the gas and oxygen concentration are selected as the key indicators of the early warning model, and the trend surface analysis of the finite discrete data is established. The trend surface warning model of gas and oxygen concentration is established, and the distribution of key indicators is obtained. Features that enable predictions and warnings of potential gas hazards.