Fault Analysis and Research on Elevator Clustering Based on Big Data

With the rapid development of China's economy, elevators have become a basic tool in daily life, and the safety hazards brought by elevators are also of great concern. It is urgent to use big data technology to mine existing data and obtain the corresponding laws of elevator faults. This article studies typical analysis methods using big data mining technology, analyzes the impact of elevator clustering related feature information on in use elevator equipment faults, and predicts typical elevator faults based on elevator information data, thereby providing better services for elevator fault prediction.