Study On Safety Early Warning Models And Application In Coal Mines

The coal industry plays a important role in the present and future national economic development as a basic industry.According to the current status of national energy structure and economic development level and pattern of world energy pattern,The status of coal-dominated energy consumption is difficult to change for a long term.It is put forward higher requirements for the coal industry's development as its important position. However,accidents had been happend frequently in the coal mine in recent years, it shows that the security situation doesn't get better,safety in production is a major event and hot topics of whole society. It has an important practical significance to strengthen the study of coal mine safety early warning for strengthen reliability and scientific of the management of coal mine, To prevent and reduce coal mine accidents, reduce the losses caused by the accident,Implement the "safety first, prevention crucial " policy of safety production, to promote healthy, orderly, safe and effective, and sustainable development, adapted to the coal industry's development。The production system of coal mine as the research object, it is researched on the safty early warning system of coal mine baseed on Safety science,security warning management theory,Artificial intelligence theory,Computer and network technology and the theory of related,Discussed the causes of the coal mine accidents from the perspective of safety management, established a scientific and reasonable indicators and model of early warning, established a Decision Support System to monitoring,diagnosising,controlling and correction, in order to pre-warning effectively and in time during the production of coal mining enterprises, to prevent and reduce coal mine accidents.It build a complete framework of early warning system depended on the security warning theory,Discussed the organizational security,the core content,functions,operating modes and other aspects in detail, to provide a theoretical basis for the management of the coal enterprises.It Explore the general rule of the accident through statistical analysis of the production situation in coal mine. According to the Accident-causing Theory, build the"Accident Type - Sector structure - cause of the incident"as the three-dimensional analysis model of coal mine accidents,research on the cause of the accident from the aspects of man,machine,Environment and management factor, to offer a new way which analysis the cause of the accident qualitatively and quantitatively in theory.It studied on the technical methods of early warning systems of coal mine safety. According to exploring the various factors and the interrelationship of them that will affect the safety, These factors are divided into geological,human,equipment,environmental,and management factors,established a scientific and reasonable indicators of early warning system,according to the fuzzy mathematical theory and Artificial intelligence theory, The model of fuzzy comprehensive evaluation based on AHP and the model of Compensatory Fuzzy Neural Network which to make a comprehensive evaluation of early warning indicators and to safety prewarning are established. According to the values and limits of early warning indicators to make single and comprehensive early warning.Each evaluation method have their advantages and disadvantages in application,and single evaluation method have its limitations when it is used in aspect of applicability,Accuracy,Objectivity. According to the characteristics of two models, Combination Model of mine safty early-warning based on fuzzy and AHP and Compensatory Fuzzy Neural Network is established, the above two model is combined reasonably and organically, useing useful information included in two model, early-warning errors that caused by single model selected are improvement,the scientificity and reliability of the early warning is further improve.The above models and methods are used in the mines and the desired results are achieved.