Core technical advantages: First, weak magnetic high-precision non-destructive testing, adopting weak magnetic sensing technology, which can penetrate the multi-strand structure of steel wire ropes, realize full-section non-destructive testing, and can identify single wire breakage above 0.5mm in a single steel wire rope, with a detection accuracy of ±0.1mm, not affected by elevator running speed, oil pollution and dust; Second, AI defect intelligent recognition, built-in AI deep learning model trained based on tens of millions of steel wire rope defect samples, which can automatically identify 22 types of common defects such as broken wires, wear, corrosion, deformation, loose strands, and jumping wires, automatically distinguish the defect type and severity, with a defect recognition accuracy of 99.8% and a false alarm rate ≤0.2%; Third, real-time online monitoring and early warning, the system is installed in the elevator machine room, 24-hour real-time monitoring of the steel wire rope status during elevator operation. After defects are found, the early warning information is immediately pushed to the maintenance unit and user unit, and the steel wire rope scrapping risk is warned 3 months in advance, realizing "early warning and early disposal"; Fourth, full life cycle digital management, the system automatically records the detection data of the whole life cycle of the steel wire rope, generates the defect change trend curve and the remaining service life prediction report, provides data support for the maintenance and replacement of the steel wire rope, and all data is traceable and tamper-proof; Fifth, convenient installation and strong adaptability, adopting non-contact installation design, no need to disassemble the steel wire rope, no need to modify the original structure of the elevator, adaptable to all brands and models of elevator steel wire ropes, the installation cycle is no more than 2 hours, and the detection data and early warning information can be viewed remotely through the IoT platform, realizing remote monitoring and management.