||The rapid growth of China’s economy for 10 years has brought about an increase in coal demand.
||After a short period of gradual increase in the number of fatalities in coal mine accidents, with the continuous increase in safety investment, China has achieved a 15-year consecutive reduction in the death rate of one million tons.
||Although the gap between China’s coal technology and foreign coal mining technologies has been narrowing, and even surpassing the European and American countries in some technical levels, and the level of safety management is also steadily rising, major accidents in coal mines still occur frequently.
||The coal mine production system is a complex socio-technical system with dynamic and non-linear characteristics, and the system includes many risk factors such as human, machine, environment, and management, and the relationship between the factors is also intricate.
||Therefore, in view of these characteristics, the construction of coal mine safety management system should be systematic and forward-looking.
||This leads to the wrong management strategy of enterprise managers based on incomplete security information knowledge.
||Therefore, coal mine safety managers should firstly understand the relevant status and basic safety data of the managed in a timely and accurate manner.
||These safety management data are delivered to coal mine safety managers through reports, on-site inspections, and information systems.
||This paper mainly has the following two innovations for coal mine safety management: (1) This paper proposes coal mine safety text classification and hazard source association rule mining algorithm for coal mine safety management.
||The algorithm combines neural network and text classification algorithm. It can better identify possible hazard sources. (2) This paper is based on the concept of sustainable management for coal mine safety management objectives.