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安全管理评价对工程项目的安全实施具有重要的保障作用。从工程项目施工全过程的角度出发,全面探讨了影响工程项目安全管理效果的指标,并采用主成分分析法消除指标之间的相关性,建立了一套系统的工程项目安全管理指标体系。同时,利用BP神经网络的非线性映射、自适应、自学习等特点建立安全管理评价模型,以消除专家打分的主观性与随意性,大大提高了评价决策的效率,并能为工程项目的安全管理评价提供借鉴。
Safety management evaluation of the safety of the implementation of the project has an important guarantee. From the perspective of the whole process of project construction, it comprehensively explores the indexes that affect the safety management of construction projects, and uses the principal component analysis method to eliminate the correlation between the indexes. A set of systematic index system of project safety management is established. At the same time, this paper establishes a safety management evaluation model based on the nonlinear mapping, self-adaption and self-learning of BP neural network so as to eliminate the subjectivity and arbitrariness of expert scoring and greatly improve the efficiency of evaluation and decision-making, Management evaluation to provide reference.