Method for Prediction of Coal and Gas Outburst Based on Data Mining Technology

• Published in: Journal of applied sciences (Asian Network for Scientific Information) Vol. 13; no. 19; p. 3995
• Main Authors: Zhai, Cheng, Yu, Xu, Lin, Bai-Quan, Yang, Wei
• Format: Journal Article
• Language: English
• Published: 2013
• Subjects: Coal; Coal mines; Control charts; Disaster management; Drilling; Forecasting; Outbursts; Statistical process control
• ISSN: 1812-5654; 1812-5662
• DOI: 10.3923/jas.2013.3995.4000

Coal and gas outburst is one of the main disasters in coal mine, the outburst forecasting is the main part of prevention work which affects the prevention measures establishment and production plan directly. Risk forecasting in working face is the first step of mine wit outburst and an accurate determination of the sensitive index of coal and gas outburst is very important. Aiming at the problems of low accuracy of risk forecasting and lack of proper method to determine the critical value of the outburst sensitive index, the Statistical Process Control (SPC) method was proposed, the selecting method of SPC control chart was discussed and the drawing process of SPC control chart and the determination of critical value of the outburst sensitive index were analysed. The results showed that, the affected extent of coal is different in underground working face with the change of drilling depth, the critical value should be changed and it should be not uniformly determined as a fixed value simply.