Core technical advantages: First, AI adaptive torque control, built-in AI algorithm model trained based on tens of millions of door machine operation data, can adaptively adjust the door machine operating parameters according to the door machine operating state, ambient temperature, guide rail friction resistance, and service life, optimize the closing torque curve in real time, and ensure stable anti-pinch performance under different working conditions; Second, multi-sensor fusion perception, integrating torque sensor, position encoder, visual sensor, and millimeter wave radar, which can simultaneously monitor the door machine operating torque, obstacle position, size, and type, realize double anti-pinch protection, and can stably realize the anti-pinch function even if a single sensor fails; Third, ultra-fast anti-pinch response, adopting real-time embedded control system, the anti-pinch response time is ≤2ms. After detecting obstacles, it can immediately open the door in reverse, and the maximum closing impact force is ≤150N, which is far lower than the 150N limit required by the national standard, and will not cause any harm to the human body; Fourth, intelligent obstacle recognition, AI algorithm can automatically identify different types of obstacles such as rigid obstacles, flexible obstacles, human bodies, pets, clothes, etc., adopt different anti-pinch strategies for different obstacles, avoid secondary injury caused by clothes hooking and pet dragging, and effectively reduce false rebound of door closing, improve elevator operation efficiency; Fifth, full life cycle self-learning, the system has self-learning function, can automatically record the full life cycle operation data of the door machine, automatically identify performance attenuation such as guide rail wear, belt aging, bearing wear, automatically adjust operating parameters, ensure stable anti-pinch performance of the door machine in the full life cycle, and early warning of door machine failure, realize predictive maintenance.