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基于主成分分析法的地铁车站施工预警方法研究 被引量:1

RESEARCH ON EARLY WARNING METHOD OF METRO STATION CONSTRUCTION BASED ON PRINCIPAL COMPONENT ANALYSIS
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摘要 根据多元统计分析方法,文中以青岛地铁4号线错埠岭车站为研究对象,对地铁车站安全评价进行主成分分析,通过建立变异系数v来降低专家主观性造成的不准确性,再运用线性回归最小二乘法建立散点图,划分安全与危险区,使结果更加清晰。同时在计算过程中运用MATLAB数学软件,对计算过程进行简化,使结果更加精确,计算快捷。通过建立主成分分析法和线性回归最小二乘法耦合评价模型,不仅能合理的判断其生产工作的安全程度,为部门的奖惩管理提供一定的依据;同时也为施工人员培养安全意识,降低事故的发生率,保证工程的顺利进行,为安全生产管理和决策提供合理的技术依据。 According to the multivariate statistical analysis method,The safety of the cuobuling stating of Qingdao Metro Line 4 was evaluated by using the principal component analysis.Firstly,the coefficient of variation V was proposed to reduce the inaccuracy caused by the subjectivity of experts.And then,the scatter diagram was established by using the least square method of linear regression to divide the safety and non-safety areas,so as to make the results more clear.Meanwhile,the mathematical software MATLAB was used in the calculation process to simplify the calculation process,so that the calculation are more accurate and is faster.Thus,by establishing the coupling evaluation model of principal component analysis and linear regression least square method,it can not only judge the safety degree of the production work reasonably,but also provide a certain basis for the Department's reward and punishment management.At the same time,it can also cultivate the safety awareness for the constructors,reduce the incidence of accidents,ensure the smooth progress of the project,and provide a reasonable technical basis for the safety production management and decision-making.
作者 杨文祥 贺可强 全恩伟 朱裕祥 YANG Wenxiang;HE Keqiang;QUAN Enwei;ZHU Yuxiang(School of civil engineering,Qingdao University of technology,Shandong Qingdao 266033,China;Shandong Huatong Bridge Engineering Co.,Ltd.,Shandong Linyi 273400,China)
出处 《低温建筑技术》 2021年第8期148-151,共4页 Low Temperature Architecture Technology
基金 山东省自然科学基金“地下高切坡卸荷动力灾变规律与位移耦合监预警参数及判据准则研究”(ZR2020KE004)。
关键词 主成分分析法 线性回归最小二乘法 MATLAB principal component analysis linear regression least squares MATLAB
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