Study For Monitoring Technology And Emergence Analysis In Coal Mine Gas Disasters Prevention

Coal with the world's largest reserves and most widely distributed of conventional energy is also important strategic resources, widely used in areas such as metallurgical, power, chemicals. In the next 100 years, it will continue to be a major energy and strategic resource. Coal in the Metallurgical process assumes the important role. Coking coal, injecting and sintering coal, and steam coal, as well as power generation, boilers, etc. are the important guarantee for metallurgical production.China's coal seam of coal mining full of gas, with low permeability, and gas drainage before the exploitation is not easy, high-gas coal mine majority. In mining, the gas emission easily, under certain conditions dust and gas will have a prominent phenomenon in the formation of gas explosion accident. Disaster prevention and treatment of coal in China's coal industry in the development of major issues to be settled urgently. Due to geological conditions, mining methods, human-machine environment complexity and interaction, existing research can not clearly express the mechanism of disasters and the role of the law, nor a mature theory of early warning, detection techniques and avoid mistakes in the management and conduct effective methods. It is the consensus for production department in charge of national security, science and technology authorities and industry that understanding the mechanism of gas disasters happen nuclear.In this case, the objectives of this paper are:the changing perspective of the current study, from the perspective of system science, comprehensive analyzing elements and process of coal catastrophism, researching gas catastrophe model, designing the accident prediction algorithm of the gas monitoring system. At the same time, solve key technical problems of the existing gas monitoring system, such as reliability, real-time, and accuracy, development of new coal mine gas monitoring equipment, with gas disaster prediction function.In this paper, an approach to the study are:studying the overall modeling methodology, the coal mine production systems as human, mechanical, geological environment interactions of complex systems, application of emergence characteristics of complex systems theory, analyzes the agents of the gas disaster and establishes the catastrophe model. At the same time, the application of integrated method in accordance with the scene of mine conditions and production environment for embedded technology, digital image technology, real-time database technology, software filtering technology, and neural network technology for integration, research and development with early warning of real-time model and anti-jamming operating system+embedded processor+embedded database of specialized equipment. From the perspective of systems analysis to solve the understanding unclear questions of the gas disaster mechanism theory, from the perspective of engineering applications to solve the field technical problems, reliability, real-time signal filtering, namely one theory of a gas disaster problem, and three equipment technical defects.The emergence character of complex systems refers to the overall system as a whole can have, but to isolate parts and the sum of them do not have.This article was found that coal mine disaster factors, coupling, related by analyzing exist the relationship loops, and its dynamic evolution will show the emergence characteristics. By the Boolean Automata network can be deduced to the system state evolution map, drawn two point attractors and two cycle attractors that can be used for disaster early warning analysis and mine security assessment. Finally, incident reporting and data to verify the model reliability, is an attempt of the first application of complex systems theory to study for the gas disaster prevention. Thus coal catastrophe model is the main theoretical results of this paper. The application of complexity theory and the characteristics of the emergence of an overall modeling are the major theoretical innovation in this article point.There are three technical problems solved in study:1, the filter model of the gas "bubble large numbers" based on the "gray box" model:Analysis of reasons of gas detection appearing in large numbers, to determine through experiments and summarize the law of the gas concentration pulse interference, for processing the training samples; through BP neural network to establish of a suitable "black box" model for "large numbers" filter; through training and testing to verify and analyze the filter, to establish a "gray box" filter model. "Gray box" filter model to improve the gas detection of large numbers, the reduction of False Alarm and leakage alarm; 2, embedded gas real-time database:based on the Berkeley DB:According to the technical characteristics of Berkeley DB, research for coal mine gas signal data collection methods, database KEY/DATA storage solutions and real-time/the history of the database sensor data write/read strategy, develop the embedded database for coal mine gas monitoring system. The realization of the window registry, data acquisition, system interface, database storage, real-time/historical data search, real-time curve display function modules; 3, graphics gas monitoring Terminal based on theμCOS-Ⅱ:Application of real-time operating systemμC/OS-Ⅱfeatures, according to coal mine gas monitoring field needs, through the platform integration and transplantation, serial communication driver development, data analysis and graphics display technology integration, designed the graphics Coal Monitoring Terminal.Gas "large numbers" filter, the gas database, the gas monitoring terminal in this article are three technological achievements. Application of "gray box" model design the gas filter, application of Berkeley DB design the gas database, application ofμCOS-Ⅱdesign the gas terminal in this article are three technical innovation points. Theoretical results for the core back-end algorithm, and technological achievements for the front end data processing. The terminal application of coal mine on Ludong, Dashe, Maguan, etc., improved the level of the gas control, put an end to major accidents.