Based On Immune Danger Theory And Coal Mine Safety Monitoring Of Multiple Sensor Information Fusion

As the coal mine bad environment, and there have many environment factors to threat the safety of coal mine production, such as gas, roof and permeable. For these problem, this paper introduces a multi sensor information fusion and immune danger theory, to fuse the gas, wind speed, temperature and other environment parameter. To analyzed the gas, wind speed, temperature and other key environmental parameters, after the Multi-sensor information be fused, immune danger theory to detect and assess the fusion data hazard, In order to improve coal mine safety monitoring system for the real time and reliability.Biological immune system has the characteristics of learning, memory, and adaptive mediation. It can identify and eliminate invading antigenic substance, is a highly parallel adaptive information learning system. Danger theory can effective detect and processing of risk information data. In view of the traditional immune algorithm in safety monitoring applications appear insufficient, immune danger theory can effectively avoid the disadvantages of the traditional immune algorithm. It is mainly by the danger theory model of inspiration, based on previous studies the paper discussed based on artificial immune algorithm and the danger theory multi-sensor information fusion in coal mine safety monitoring of the application.In the detection of the dangerous data, first this paper from the perspective of immunology and related algorithms, described the artificial immune theory and its characteristics. Summarizes the various modes of artificial immune algorithms, artificial immune theory in various fields has made the introduction. In the information fusion using feature layer and decision layer hierarchical fusion. In the feature layer, using immune fusion algorithm to extract the characteristic value; Decision layer using D-S evidence theory data fusion. From a dangerous theory abstract theories principle, structure, Introducing a Dangerous detection algorithm based on artificial immune. Through the sensor fusion data hazard detection, and analysis and research the detection, Analysis of its application in coal mine safety monitoring plan. Finally, The theory of risk detection algorithm in colliery security monitoring application research were summarized and prospect.