An extension evaluation method for mine environment safety system based on information fusion technology

This paper presents a new method about safety level evaluation system for coal mine environment. This new method is a combination of multisensor information fusion technique and extension theory. This method utilizes multisensor to collect coal mines environmental parameters, then adopts information fusion theory to fuse homogeneous data and generates characteristic vector of mine environment. The application of information fusion technique can get more effective and reliable data about the mine environment, thus it can get more accurate environment characteristic vector. On the basis of mater-element theory, extension set theory and extended dependent functions, a multi-index matter-element model is constructed. According to this model, it can completely indicate the mine environmental safe level. As an example, the proposed method is used to assess a concrete application. The result shows that the method is feasible and effective, and the evaluation results are reasonable.