Application of Artificial Intelligence, Big Data and Cloud Computing in Optimizing Elevator Safety Performance

With the development of society, the number of elevators is increasing, and optimizing the safety performance of elevators has become an urgent need for social safety management. Artificial intelligence, big data and other emerging technologies are gradually applied to all walks of life. Its application in the elevator industry has also attracted the attention of the industry and academia, but the related research is still in its infancy. Based on artificial intelligence, big data and cloud computing, this paper designs the elevator safety performance optimization scheme from five aspects respectively, reduces the possibility of failure before the accident, responds quickly after the accident, reduces the loss, and then collects the fault information to cooperate with the cloud to further optimize the fault prediction algorithm. These solutions can be cycled to continuously improve the safety performance of the elevator.