Based on the analysis of abundant mine accident case, preliminarily summed up the causes and features of China's coal mine accidents about ventilation, gas, dust and fire; reference for the human physiological structure, according to the result of the accident theory, combined with the actual status of coal mine producing system, established a coal mine accident prevention model about ventilation, gas, dust and fire, and analysis the mechanism of the coal mine accidents about ventilation, gas, dust and fire. Based on the accident prevention model and early-warning principle, established a risk early-warning model about ventilation, gas, dust and fire in coal mines. On the basic of analyzing the risk early-warning model about ventilation, gas, dust and fire in coal mines, put forward a completed method system of risk early-warning on ventilation, gas, dust and fire in coal mines: firstly identify risk factors of ventilation, gas, dust and fire accidents in coal mines used the CCA, then according to the risk factors to identify the risk evaluation index about ventilation, gas, dust and fire in coal mines, and determine the accident risk class by fuzzy assessment, finally, according to the risk factors and levels of risk assessment results to determine risk early-warning indicators about ventilation, gas, dust and fire in coal mines. Established the early-warning criteria used of indicators early-warning method, factors early-warning method and regression analysis predicted method and identify the early-warning cycle; established the early- warning signals of ventilation, gas, dust and fire in coal mines. According to the early-warning criteria, analysis the risk of accidents using early warning indicators, issue the warning signals. In the progress of fuzzy assessment, use SCL to quantitative the qualitative index and decrease the evaluation numerical inaccuracy of qualitative factors. In this paper, developed integrated early-warning management information system software using the Web Services and ASP technology and it can also do the early-warning of ventilation, gas, dust and fire job by internet. This improved the information and modernization level of safety work in coal mines and solves the problems of resource wasting, data redundancy, and information isolated island. |