Core technical advantages: First, multi-source fusion state perception, equipped with high-precision vibration sensors, temperature sensors, current sensors, noise sensors, and speed sensors, which can real-time collect 28 core operating parameters such as stator current, rotor speed, bearing vibration, winding temperature, and operating noise of the traction machine, with a maximum sampling frequency of 25.6kHz and data acquisition accuracy of ±0.1%; Second, AI deep learning fault prediction model, built-in AI deep learning model trained based on millions of traction machine full life cycle operation data and fault samples, which can automatically extract fault features, accurately identify 16 types of common faults such as bearing wear, gear pitting, winding insulation aging, brake spring fatigue, and traction wheel groove wear, with a fault early warning accuracy of 98.5% and a false alarm rate ≤1.5%; Third, full life cycle health management, the system can automatically evaluate the health status of the traction machine, generate a health score, predict the remaining service life, automatically generate the optimal maintenance plan, remind maintenance personnel to carry out targeted maintenance in a timely manner, realize "on-demand maintenance", and avoid over-maintenance and insufficient maintenance; Fourth, edge computing + cloud collaborative architecture, adopting the architecture of edge computing terminal + cloud management platform. The edge terminal realizes real-time data collection, local fault early warning, and emergency control. The cloud platform realizes big data analysis, model iteration, remote monitoring, and maintenance management. The edge terminal can still operate stably in the offline state to ensure that the early warning function is not interrupted; Fifth, convenient installation and strong adaptability, adopting non-intrusive installation design, no need to disassemble the traction machine, no need to modify the original elevator control system, adaptable to all brands and models of permanent magnet synchronous traction machines and asynchronous traction machines, the installation cycle is no more than 2 hours, and can be connected to the elevator IoT platform and smart supervision platform to realize data interconnection.