| In recent years, the coal mine safety production situation in our country continued to improve, the coal mine mortality per million tons decreased year by year, but the gap is still large compared with developed countries. The reason is that China’s coal mine safety management level was still low, the coal mine safety hidden danger was not identified and investigated. Meanwhile, the risk of coal mine production weren’t quantitatively calculated and the level of risk dynamic early-warning in mine was not established effectively. Therefore, on the basis of the China’s coal mine safety production practice and through the comparative analysis of domestic and foreign advanced safety management theory, safety management mode, security management model, application of meso management thoughts, the rheology and mutation theory, safety hazards identification theory, quantitative risk calculation method and level of risk warning model and the theory of TARPS, closed loop control theory and the theory of big data, the modern coal mine safety levels of hidden danger analysis and dynamic early warning can be established. It has important theoretical significance and practical significance to realize the coal mine production in the process of stratification of risk pre control and the coal mine risk hierarchical dynamic state warning and essential safety in coal mine production.(1) Based on in-depth analysis of the present situation of China’s coal mine safety management, through summarizing the research status of coal mine safety management, foreign advanced safety hazards identification, risk assessment, risk warning theory,(especially Australia coal mine safety management theory and model) it can be known that most of China’s coal mine are more complex and its security risks in the production process are more than that of foreign coal mine. They were also lack of comprehensive identification, so the direct introduction of abroad safety management theory and model may not be able to solve the practical problems of China’s coal mine safety management. Risk early warning model and early warning theory in China’s mine coal is not perfect, and the pertinence is not strong. The application of informatization of coal mine safety management in China is not mature enough. Therefore, it needs the information technology means and combining the foreign advanced safety management theory and China’s coal mine safety production to fundamentally improve the level of China’s coal mine safety management.(2) This paper deeply analyzed the characteristics of China’s modern coal mine production system and the application of the meso management theory in coal mine safety hazards identification, hierarchical analysis and early warning. The paper also analyzed the application of theory of rheology and mutation in the coal mine accidents and safety management, the application of Australian TARPs theory in the risk management of coal mine. Moreover, it analyzed the closed loop control theory and its application in the coal mine safety management. The differences between intrinsic safety and traditional safety and coal mine intrinsic safety management theory are also analyzed. Based on the above theory, it established the coal mine hierarchical safety management theory of wireless sensor network, portable risk inspection instrument and risk information card. Beyond that, this paper also put forward the core concept of "full participation, closed loop control, dynamic warning" and built the coal mine hierarchical safety management organization structure model and macro, meso and micro management system of coal mine hidden danger.(3) Through the statistical analysis of the situation of China’s coal mine safety production in resent ten years, the conclusion is that the situation of our country’s coal mine safety production have improved year by year. The number of roof accidents is the largest in eight kinds of accidents of coal production, including roof, gas, transportation, water disaster, electrical blasting, fire and others. While the gas accidents is the most harmful. In recent years, the eight kinds of accidents and deaths are showing a downward trend. In the process of decline in coal mine accidents, roof, fire and gas accidents have the highest volatility. Meanwhile, in coal mine production, the other types of accidents should be paid special attention to. Then, according to the characteristics of coal mine in China, accident-causing theory and the robit intersecting theory, the paper established the macro, meso and micro coal mine accident-causing model, it also made the detailed analysis for the coal mine accidents reasons and lessons based on the model.(4) This paper analyzed the relationship between the dangerous sources and the hidden danger in the process of coal mine production in China. The conclusion was that the hidden danger is the main object in safety management. Besides, this paper provided the comprehensive system analysis to the classification method of coal mine hidden danger and the coupling relationship between four hidden dangers of man-machine-environment-management system. Then, this paper introduced identification method of coal mine hidden danger and quantitative calculation method of hidden danger risk. Finally, the paper made the comprehensive identification and quantitative risk calculation for the hidden danger in the man-machine-environment-management systems of coal mine production system.(5) In the paper, the risks in a coal mine were divided into three levels, macro-risk(mine), meso-risk(coal mining working face, etc.), micro-risk(specific man-machine-environment-management). Then the mine macro risk calculation model was established. Through using theoretical analysis, expert interviews and questionnaires, the index system in the mine macro-risk calculation model was determined. After that, the paper provided a calculation method for the singer index which was normalized and dimensionless. Therefore, the index in the risk calculation model was weighted determining by using AHP and entropy method. The weighting method improved the science and rationality of weighted index. Finally, the risk of a certain mine was classified by using the macro-risk calculation model of coal mine, and the S3-2 working face in the coal mine was analyzed as a case.(6) This paper analyzed the basic concept of coal mine risk, related theory, early warning principle, etc. It also established the coal mine risk hierarchical dynamic early warning index system and its mathematical model based on combining mine macro risk index system. The coal mine safety direct early warning method and indirect warning method are established based on the index system, the direct early warning is the subsystem that the man-machine-environment include the direct index to warning. The indirect early warning generally refers to the safety management of early warning, the paper analyzes the relationship between direct early warning and indirect early warning. In the index model, the trigger concept is introduced, as long as the micro level early warning index reaches the warning critical value, the trigger transmits the warning level to the meso level, the meso level warning indicator values will exceeds, finally, the warning condition will be transmitted to macro level, this process will realize the linkage early warning of macro, meso and micro level. On this basis, the linkage model of coal mine macro, meso, micro risk early warning based on the trigger is established in the paper.(7) The dynamic early warning model of coal mine risk level was applied in a Shanxi coal mine. The risk early warning system was divided into three levels, macro(mine), meso(such as coal mining working face) and micro(specific man-machine-environment-management). Macro warning area was divided into early warning of eight districts and shaft station(a total of nine regional). Then the S3 mining area was further divided into 5 mining working faces and two heading face. Finally, take S3-2 working face as an example, man-machine-environment-management’s early warning model was built and warning model was studied.(8) Based on the coal mine hierarchical safety management theory, the hidden danger identification and risk quantitative calculation method, the risk level dynamic early warning method, the corresponding management system was established. The management system consisted of hardware part and software part, the hardware equipment included uphole data center, well work area monitoring system, underground work area monitoring system and development related technical indicators of management system. This paper focused on the detailed analysis of the hardware of the underground system, including the wisdom line and its auxiliary equipment, portable risk inspection instrument, risk information card. The wisdom of the line was a set of data collection, transmission, communication language for various cable, it can also realize the function of personnel orientation. The wisdom line and wisdom lines ancillary equipment were simple, fast and safe. This equipment can form the wisdom of the line network which has strong stability. The portable risk inspection instrument and risk information card were a set of safety management tools, which can effectively improve the safety management efficiency of coal mine operation. This paper designed the risk information card, the mechanical risk information card for the key mechanical equipment, the corresponding environmental risk information card for the main dangerous environment. The software system can be realized the closed-loop control of hidden danger, safety standardization dynamic management, safety training, illegal management, accident prediction, personnel orientation, safety inspection and other functions.(9) Theories of coal mine hierarchical safety management, security risks identification and methods of quantitative risk calculation, hierarchically dynamical warning were used to carry on an application study in a coal mine. Daily security business indicators were described quantitatively from people, machine and environment aspects. The refinement and quantification of safety management were regarded as core through modern information technology methods. Static security management was turned into dynamic security management, and passive security management was turned into active security management by dealing hidden danger and violation through information management system and implementing the safety management system effectively. Comparative analysis of the number of incidents, violations and security risks before and after applying the system showed, the number of coal mine accidents had no obvious changing trend. The number of illegal workers was reduced gradually. The number of security risks was increased in the initial stage of carrying on quantitative safety management and then gradually decline. Finally, there was no obvious change when it fell down about 20% and it reached a new equilibrium state.(10) This paper systematically studied the theory of big data and the application of big data in the national economy and society. Currently, the applications of big data in electronic commerce, finance, weather forecast were relatively mature. The application of big data in coal mine has not been carried out, but related research institutes and large coal has begun the relevant research. The application of big data in coal safety management was divided into four levels, namely statistics, analysis, forecasting and decisions support according to the characteristics of big data technology and coal mine safety production system. The four levels were progressive relationship. Statistics function of big data is collection and storage of coal mine production safety data. Analysis function of big data is the statistical analysis function in traditional sense. The predictive of safety in coal mine using big data was studied deeply in this paper. The security risks were predicted in a coal mine by using support vector machine prediction model. |
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