大连海事大学学报
大連海事大學學報
대련해사대학학보
JOURNAL OF DALIAN MARITIME UNIVERSITY
2014年
2期
10-12
,共3页
船舶%碰撞事故%数据挖掘%关联规则%人为失误%致因链
船舶%踫撞事故%數據挖掘%關聯規則%人為失誤%緻因鏈
선박%팽당사고%수거알굴%관련규칙%인위실오%치인련
ship%collision accident%data mining%association rule%human error%causation chain
为有效研究人为失误导致船舶碰撞事故的形成机理，采用贝叶斯网络结构和数据挖掘算法构建事故致因链。分析128起典型人为失误致因船舶碰撞事故案例，依据事故中驾驶员认知行为形成过程，采用贝叶斯网络构建事故致因网络结构；采用Apriori算法和JAVA语言编程挖掘事故的人为失误频繁因素组合，得出导致碰撞事故的人为失误致因链。
為有效研究人為失誤導緻船舶踫撞事故的形成機理，採用貝葉斯網絡結構和數據挖掘算法構建事故緻因鏈。分析128起典型人為失誤緻因船舶踫撞事故案例，依據事故中駕駛員認知行為形成過程，採用貝葉斯網絡構建事故緻因網絡結構；採用Apriori算法和JAVA語言編程挖掘事故的人為失誤頻繁因素組閤，得齣導緻踫撞事故的人為失誤緻因鏈。
위유효연구인위실오도치선박팽당사고적형성궤리，채용패협사망락결구화수거알굴산법구건사고치인련。분석128기전형인위실오치인선박팽당사고안례，의거사고중가사원인지행위형성과정，채용패협사망락구건사고치인망락결구；채용Apriori산법화JAVA어언편정알굴사고적인위실오빈번인소조합，득출도치팽당사고적인위실오치인련。
To effectively analyze the formation mechanism of ship collision accident , an accident causation chain was struc-tured based on Bayesian network and data mining algorithm . 128 cases of typical human errors caused ship collision acci-dents were analyzed , and the network structure of accident cause was built according to driver ’ s cognitive behavior for-mation process .Apriori algorithm and Java program were em-ployed to identify frequent occurrence human error , and the accident causation chain was formed.
