| Rockburst is one of the major geological disasters that seriously affect coal mining.It has the characteristics of sudden,difficult to control and destructive,and seriously threatens the safety of workers.The frame structure of multi-sensor information fusion is comprehensively analyzed.Aiming at the uncertainty and nonlinearity of coal mine rockburst,based on multi-source information fusion,a prediction model of coal mine rockburst is established based on multi-dimensional cloud model and D-S evidence theory.According to the analysis of the causes and characteristics of rockburst,four typical indexes are selected.The subjective weight and objective weight are obtained,and the fusion is carried out by the principle of minimum information identification,which overcomes the problem that the traditional single weight method has great difference in determining the weight of evaluation index;The grade interval of prediction index is fuzzified to make up for the deficiency that the original cloud model is too sensitive.The precursor law of multi-sensor in rock burst process is deeply analyzed,the D-S evidence theory is studied,and the main problems of traditional evidence theory are summarized.Cosine distance is introduced to express the credibility and support between evidences,and each evidence is weighted to optimize the basic probability distribution function of each evidence,which effectively improves the accuracy of rock burst multisensor information fusion prediction model.The multi-dimensional cloud model is used to forecast the static indicators,and the accuracy and feasibility of the model are verified by comparing with other models.The D-S evidence theory based on cosine distance is used to fuse and predict the continuous dynamic indexes of a coal mine in Tangshan.The applicability and effectiveness of the dynamic prediction model are verified by comparing the actual rock burst situation.Finally,the visual interface of rock burst prediction system is designed on the MATLAB platform,which has certain practical significance for the safety production of coal mine.Figure 26;Table 19;Reference 54... |