Research on big data mining and fault prediction based on elevator life cycle

With the rapid development of China's economy, the elevator has become a basic tool in daily life, and the potential safety hazards caused by the elevator are also concerned. It is urgent to use big data technology to mine the existing data to obtain the corresponding laws of elevator failure. This paper carries out the information data collection of each link through the elevator design, installation, maintenance and inspection of the whole life cycle, applies the classification model and data mining technology of expert supervised learning, analyzes the impact of elevator related feature information on the elevator equipment failure, and predicts the typical elevator fault based on the elevator information data.