摘要
文章旨在探讨主成分分析(PCA)技术在防范化解化工单位消防安全风险方面的应用。通过收集和分析化工单位消防事故的相关数据,使用PCA技术对这些数据进行降维和特征提取,以便更好地理解和预测潜在的消防安全风险。研究结果表明,PCA技术能够有效降低数据维度,并提取出最具代表性的特征,为化工单位消防安全风险的评估和预警提供了重要的参考依据。此外,还探讨了PCA技术的优点和局限性,并提出了未来研究的方向,以进一步完善和拓展其在化工单位消防安全风险管理中的应用。
This study aims to explore the application of principal component analysis(PCA)technology in preventing and resolving fire safety risks in chemical units.By collecting and analyzing relevant data on fire accidents in chemical units,PCA technology is used to perform dimensionality reduction and feature extraction on these data,in order to better understand and predict potential fire safety risks.The research results indicate that PCA technology can effectively reduce the dimensionality of data and extract the most representative features,providing important reference for the assessment and early warning of fire safety risks in chemical units.In addition,this paper also explores the advantages and limitations of PCA technology,and proposes future research directions to further improve and expand its application in fire safety risk management in chemical units.
作者
郁清淞
YU Qingsong(Nanjing Economic and Technological Development Zone Fire Rescue Brigade,Nanjing 210038,China)
出处
《化工管理》
2024年第30期126-130,共5页
Chemical Management
关键词
主成分分析
化工单位
消防安全
风险管理
特征提取
principal component analysis
chemical units
fire safety
risk management
feature extraction
