Finding Main Causes of Elevator Accidents via Multi-Dimensional Association Rule in Edge Computing Environment

作     者：Hongman Wang Mengqi Zeng Zijie Xiong Fangchun Yang 

作者机构：Institute of Network Technology Engineering Research Center of Information Network Ministry of EducationBeijing University of Posts and Telecommunications Beijing China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2017年第14卷第11期

页      面：39-47页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0839[工学-网络空间安全] 08[工学] 0813[工学-建筑学] 0814[工学-土木工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：elevator group accidents apriori multi-dimensional association rules data cube edge computing 

摘      要：In order to discover the main causes of elevator group accidents in edge computing environment, a multi-dimensional data model of elevator accident data is established by using data cube technology, proposing and implementing a method by combining classical Apriori algorithm with the model, digging out frequent items of elevator accident data to explore the main reasons for the occurrence of elevator accidents. In addition, a collaborative edge model of elevator accidents is set to achieve data sharing, making it possible to check the detail of each cause to confirm the causes of elevator accidents. Lastly the association rules are applied to find the law of elevator Accidents.