基于支持向量机的电力人因事故组织因素分析

Analysis of Organizational Factors of Electric Human Factors Accident Based on Support Vector Machine

在电力生产行业中,人因已成为引发生产安全事故的最主要因素,而在人的因素中,组织管理因素是影响人因的最主要因素。为探寻组织管理因素对电力生产人子系统的影响,论文利用k均值聚类算法和支持向量机对电力人因事故进行了分析。论文首先根据已发生的电力安全事故分析了电力行业人因事故组织管理因素的影响因素,然后利用k均值聚类算法将电力人因事故组织管理因素划分可靠性等级,最后利用支持向量机分析可靠性等级与影响因素间的关系。论文选取12组电力生产系统数据验证算法,分析发现组织氛围因素是影响电力安全生产可靠性的最主要因素。

In the power production industry,human factors have become the most important factor leading to safety production accidents,and among human factors,organizational management factors are the most important factors affecting human factors.In order to explore the influence of organizational management factors on the power producer subsystem,this paper uses k-means clus⁃tering algorithm and support vector machine to analyze power human accidents.First,this paper analyzes the influencing factors of human accident organization and management factors in the power industry based on the power safety accidents that have occurred,and then uses the k-means clustering algorithm to classify the reliability of the power human accident organization and management factors,and finally uses support vector machines to analyze the relationship between reliability level and influencing factors.This pa⁃per selects 12 sets of power safety accident data verification algorithms,and analyzes and finds that organizational climate factors are the most important factor affecting the reliability of power safety production.