Establish of fuzzy synthetic evaluation model and China coal mine safety risk analysis system
Shuqiu Dai, Zhongguang Sun, Lan Zhang, Qisen Zhou, Yong Li
Abstract
Shuqiu Dai, Zhongguang Sun, Lan Zhang, Qisen Zhou, Yong Li
Abstract
In order to scientific manage the mine risk and safety events which under the supervision of the government regulatory departments and coal mining enterprises. The factors affecting coal mine safety risk are identified synthetically by AHP analysis method, and the index system of coal mine safety risk assessment is constructed from the aspects of personnel, equipment, environment, management, etc. It uses cloud computing, GIS, big data analysis and visual technology, which takes a basis of SOA technology architecture and data warehouse, that help realizes the analysis of the coal mine safety risk system, the analysis of the coal mine safety status, prevention of the coal mine safety accident and provides the reliable judgment basis for the auxiliary decision of the coal mine safety production. The system has been applied in many projects such as the National Mine Safety Production Supervision IoT application demonstration project and the coal mine accident risk analysis platform of Chongqing Coal Mine Safety Supervision Bureau, which improves the information regulate standard of coal mine using by national and regional authorities.
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In order to scientific manage the mine risk and safety events which under the supervision of the government regulatory departments and coal mining enterprises. The factors affecting coal mine safety risk are identified synthetically by AHP analysis method, and the index system of coal mine safety risk assessment is constructed from the aspects of personnel, equipment, environment, management, etc. It uses cloud computing, GIS, big data analysis and visual technology, which takes a basis of SOA technology architecture and data warehouse, that help realizes the analysis of the coal mine safety risk system, the analysis of the coal mine safety status, prevention of the coal mine safety accident and provides the reliable judgment basis for the auxiliary decision of the coal mine safety production. The system has been applied in many projects such as the National Mine Safety Production Supervision IoT application demonstration project and the coal mine accident risk analysis platform of Chongqing Coal Mine Safety Supervision Bureau, which improves the information regulate standard of coal mine using by national and regional authorities.
Key concepts: Coal mining, Coal, Government (linguistics), Risk analysis (engineering), Engineering, Safety monitoring, Mining engineering, Risk management