Technical principle and application:

First, perception layer, elevators equipped with vibration, current, temperature, noise, tension sensors, full-dimensional operation data collection;

Second, edge computing, terminal local real-time analysis, second-level abnormal alarm, reducing cloud dependency;

Third, AI algorithm, deep learning model training fault features, steel wire rope wear, door operator jamming, bearing noise, traction machine fault recognition rate 95%+, false alarm rate <1%;

Fourth, early warning capability, early warning 3-14 days in advance, providing hidden danger location, degree, recommended disposal plan;

Fifth, operation and maintenance upgrade, from "regular maintenance" to "predictive maintenance", on-demand maintenance, reducing invalid operations, maintenance cost reduced by 25%;

Sixth, platform support, cloud platform realizes whole-process digitalization of remote diagnosis, work order dispatch, personnel scheduling, quality traceability.


Large-scale application: Over 5 million elevators nationwide connected, old elevators failure rate reduced by 40%-85% after renovation, becoming core standard for smart cities, safe communities.