基于离差最大化与灰色关联分析的危险源辨识方法

以提升非化学品危险源辨识水平为目的,利用灰色系统理论的灰色关联分析法,得到各危险源指标与最其优辨识指标的关联度,通过离差最大化法确定指标权重,并以某高速公路施工标段的危险源辨识和评价作为实例对该模型进行了验证,从而得出了施工标段各危险源危险性的优劣次序。并将此结果与LEC法、权重相同的灰色关联分析所得结果进行对比,证明该模型的辨识结果更准确且与实际情况较吻合。对非化学品危险源辨识具重要指导作用。

The Method of Hazard Identification Based on Maxmizing Deviations and Grey Relational Analysis

To improve the non-chemical hazard identification, this paper useed grey relational analysis to determine the associated degree between the dangerous sources and the best identification index. And the weighting coefficients were determined by the method of maximizing deviations. Then the model was verified by the hazard identification of a construction section of some highway. Moreover, the result of the hazard order is compared with that of LEC method and Grey Relational Analysis with equal weighting coefficients, proving that the model in this paper is most available because of its high accordance with the actual situation. Also, it takes a important guidance role in non-chemical hazard identification.