The real-time elevator monitoring system based on multi-sensor fusion

Abstract

In recent years, the number of elevators has increased dramatically as the increase of high-rise buildings. The safety monitoring of elevators, a matter of people's security, becomes more and more important. This paper proposed a real-time elevator monitoring system, which can rapidly and accurately diagnose the faults and abnormal states of the elevator based on the real-time operation data acquired from multi sensors. The proposed multi-sensor fusion algorithm effectively ensured the stability and reliability of the system. The real-time monitoring result was easily accessed using web client on various platforms via the local network, which also can be sent to the cloud platform realizing the remote access. The test result of the system demonstrated its usefulness.