Technology application: First, data collection, collecting 100+ operation data such as speed, temperature, and vibration in real-time through IoT sensors; Second, model construction, establishing a digital twin model synchronized with the physical elevator to simulate operation status; Third, AI prediction, training algorithms based on historical data to predict faults such as wear and jamming in advance; Fourth, operation optimization, formulating accurate maintenance plans based on early warning information to reduce blind overhauls; Fifth, cost reduction, improving maintenance efficiency by 40%, reducing spare parts inventory by 30%, and reducing users' comprehensive operation costs by 25%.