Multi-Agent Based Virtual Environment Of Coal Mine

Coal mine is a typical complex system, in which various factors such as man, machine, and environment interact with each other, and abundant information is multi-sourced, isomerous, and unstructured. Furthermore the underground envirnment is austere semi-occluded space. Therefore, many traditional technologies are severely limited so much as to be disabled. The development of Virtual Reality (short for VR) technology brings a fire-new idea and method to go deep into recognizing coal mine producing environment. At present, VR is being phased in coal mine at home and overseas. However, there still is no mature method to model and describe coal mine virtual environment.Oriented underground coal mine safety, this dissertation combines the traditional mine system with VR to systematically investigate the modeling method of mine virtual environment. Especially Intelligence is integrated into virtual environment to investigate Mine Intelligent Virtual Environment (short for MIVE) based on multi-agent so that a new approach can be found to effectively ensure coal mine safety. Agent technology sufficiently reflects the thought of Artificial Intelligence and is amore suitable method for constructing MIVE. Based on Agent technology, the dissertation focuses on the modeling methodology of MIVE and its some key aspects. The main work and innovations are as follows:Firstly, the architecture of MIVE based on multi-agent was proposed so that the virtual environment is reusable and scalable. The concepts and constructing approaches of the main agents in MIVE were described in detail, and the communication protocol using KQML was also discussed. And then the information and knowledge model was constructed. By organizing and classifying the knowledge according to the entities in virtual environment, and storing the high level knowledge by means of various kinds of properties of the entities, the knowlegde model is more effectively in favor of multi-agent interaction and can realize intelligent behaviors more easily. Secondly, to the deficiency of physical environment mode in traditional mine VR, the modeling method of underground Mine Synthetic Natural Environment, namely MSNE, was studied, and the conception model for MSNE was constructed. Oriented the mine safety surveillance and control system, the atmosphere environment data model in MSNE was established using object-oriented method. Some key technologies related to its characteristic data representation and environment database were discussed. Effectively integrated the mine physical natural environment information into the mine virtual environment, the MSNE model can enrich enormously the virtual environment knowledge and enhance its practicabilityThirdly, the modeling method of virtual human in MIVE was studied systematically and an intelligent virtual miner model was constructed. The intelligent miner has lifelike human appearance and possesses abroad ability of perception, motion, behavior, cognition and mental state. And a behavior control model based on the simpled consumption architecture was proposed to select, activate and terminate the basic reactive behavior for virtual miner. And some intelligent behaviors including vision perception, path planning and self-determining ramble also were studied. The intelligence and interaction of virtual environment are just embodied by the intelligent life, especially by the intelligent behaviors of virtual human. This is also the deficiency of the traditional coal mine VR system.Fourthly, a new causal analyzing method based on Bayesian Network was explored for the gas explosion incident. By investigating the interaction of human, machine, environment and management factors in gas explosion incident, the method can analyze the evolving process of hidden factors from uncertainty to certainty, and can guide the coal mine incident analysis and management.Finally, oriented the underground mine safety, a prototype system for multi-agent mine intelligent virtual environment was developed. The system integrated series of mine environment models mentioned above, and can achieve some initial application for underground mine safety inspect, behavior simulation etc.