Research on Elevator Safety Detection Management based on Big Data

Abstract

In the rapid development of social economy, people's quality of life is getting higher and higher, elevator as one of the essential means of transportation in daily life, how to ensure the safety and stability of elevator equipment operation, has become the main issue of research and discussion. Since the sensors in the elevator can collect a large amount of data information, which can provide effective basis for the study of the operating state of the elevator equipment, scientific researchers propose to use big data technology to optimize the elevator safety detection and management, build a sound management system and monitoring methods, and solve the elevator safety failures and abnormal situations as soon as possible. In this paper, on the basis of understanding the research status of elevator safety detection management, according to the theory of big data technology, put forward the elevator safety detection management system with big data as the core, and combined with practical cases for verification and analysis. The final results show that the application of big data technology in elevator safety detection management is very important.