Research Of Reliability And Intelligent Control Technologyof Underground Uranium Mine Ventilation System Based On MAS

As mine ventilation system is an important part in the process of underground uranium mining, production worker’s safety and the economic benefit is strongly related with it. In this paper, it put forward using the combination of multi-agent and reliability technology to monitor and control the underground uranium ventilation system through in-depth analysis of the underground uranium mine ventilation system structure and function of the specific properties. It has important value for the realization of underground uranium mine ventilation system reliable operation and safety management. Based on the above research objectives, this article mainly from the following several aspects to make the corresponding research work:(1)In this paper, the factors affecting the reliability of ventilation system are divided into five categories including methods of mine ventilation, power of ventilation system, network of ventilation system, facilities of ventilation system and air quality of ventilation system. And then extracting 18 factors that affect the reliability of underground mine ventilation system based on each category. And finally set up the underground uranium mine ventilation system reliability index system.(2) Dividing the ventilation system into six agent models including Main controlling agent, human-computer interaction agent, ventilation power agent, ventilation quality agent, ventilation network agent and ventilation facility agent based on the underground uranium mine ventilation system reliability index system. And then establishing the multi-agent framework that is suitable for the characteristics of the underground uranium mine system. And then carrying on the detailed design according to the function and characteristics of each agent model and drawing the corresponding agent model diagram.(3) Establishing the multi-agent coordination mechanism that is suitable for the underground uranium ventilation system through the analysis of the relationship among each agent model and radon ventilation theory and technology.(4) According to the functions of each agent model and the coordination mechanism among each agent model, developing the simulation system based on.NET platform. And then designing and developing the related function modules to show the system with words and diagrams. And finally it achieved good results.