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.
关键词
主成分分析/化工单位/消防安全/风险管理/特征提取
Key words
principal component analysis/chemical units/fire safety/risk management/feature extraction
维普
万方数据