Elevator door machine motion anomaly detection method and platform
By using high-frequency acoustic sensors to collect and analyze broadband sound signals on elevator door operators, potential hidden faults can be identified, solving the operational safety problem caused by early damage to elevator door operators and achieving efficient fault detection and early warning.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 安徽申达电梯有限公司
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing technology, elevator door operators are prone to early damage or potential malfunctions during operation, which can lead to jamming or functional failure of the door operator, affecting the safety of elevator operation.
By continuously acquiring broadband acoustic signals using high-frequency acoustic sensors during each door opening and closing action of the elevator door operator, preprocessing and extracting time-spectrum features, and comparing and analyzing with a reference acoustic pattern template and a fault-resonance spectrum fingerprint database, potential hidden faults and possibly damaged components can be identified.
It improves the accuracy and timeliness of elevator door operator fault detection, prevents potential faults from developing, and enhances elevator operation safety.
Smart Images
Figure CN122403231A_ABST