Research of coal gas warning model based on fuzzy clustering
Desheng Liu, Zhiru Xu, Wenping Chen, Jingguo Zhou
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12D) 56-59
College of Information and Electronic Technology, Jiamusi University, Heilongjiang, China
Prevention of coal safety is the major problem that has been a concern around the world, coal mine gas disaster forecast predicted in advance is essential. In this paper, coal environmental parameters and device parameters monitoring data are acquired, coal gas fault symptom information are extracted, the gas concentration level of warning model is established using fuzzy clustering method. Simulation results show that the proposed fault classification model is accurate, reliable, practical value, and that can obtain the integration of coal mine gas fault level decision results.