證據(jù)理論在事故樹不確定性處理中的應(yīng)用
[Abstract]:MDF plays an important role in meeting the needs of agriculture and industry. In recent years, a large number of wood processing plants have been set up in China every year, but with the emergence of a large number of production lines, the fire has suffered serious losses. The probability of fire caused by Mars in the main production line of MDF is the greatest. Once the fire occurs, the explosion of wood fiber makes the fire spread rapidly and it is difficult to extinguish. Accident tree analysis model is one of the most important safety assessment models for fire accident and is widely used in various fields of accident evaluation. The unique analysis structure of the accident tree can make the whole to part of the cause of the fire induced by the tree structure gradually detailed, and can effectively monitor and evaluate the fire site. However, many factors, such as the cause, the form, the environment, the type of fuel and the distribution of fire source, are uncertain. The traditional analysis of accident tree is difficult to express the uncertainty in the cause of fire. These factors restrict the development of accident tree analysis model in fire assessment. Combined with accident tree analysis and evaluation model and evidence theory, this paper applies evidence theory principle to deal with uncertain information in accident investigation in the stage of quantitative analysis of accident tree, and optimizes the original evidence fusion algorithm by using Bayesian approximation method. The information of expert diagnosis in different fields can be fused. This method has been applied to fire prevention system of medium fiber board production line in Dongfen wood industry. A more scientific and efficient fire prevention safety system and safety operation rules have been put forward, and the fire protection capability of this system has been improved successfully. At the end of this paper, the research work of this paper is summarized, the focus of the future research is put forward, and the improvement of the fire prevention tree is pointed out. And the necessity of further research on evidence theory algorithm. Finally, the research direction of combining evidence theory algorithm and accident tree quantitative analysis in the future is prospected.
【學(xué)位授予單位】:武漢科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2013
【分類號(hào)】:TS68;X928.7
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