基于主成分神经网络的电网企业人身安全风险量化评价模型研究

Research on quantified evaluation model of personal safety risk of power grid enterprises based on principal component neural network

以国网某省电力公司生产作业真实数据为基础,文章采用主成分分析和BP神经网络两种理论方法,建立基于主成分神经网络的电网企业人身安全风险量化评价模型,并使用该模型对生产作业人身安全风险进行了量化研究。

Based on the actual production data of a provincial power company of the State Grid,the article uses principal component analysis and BP neural network to establish a power grid enterprise personal safety risk quantitative evaluation model based on principal component neural network,and use the model to perform quantified research on personal safety risks of production operations.