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

摘要

In order to discover the main causes of elevator group accidents in edge comput-ing environment, a multi-dimensional data model of elevator accident data is established by using data cube technology, proposing and implementing a method by combining classi-cal 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 collabo-rative 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 associ-ation rules are applied to find the law of eleva-tor Accidents.