A method and system for automatic detection and early warning of a domestic elevator
By dividing the elevator operation sequence into multiple stages, configuring parameter variables and feature weights, and obtaining correction coefficients in combination with usage scenarios, the alarm threshold is dynamically adjusted, solving the problems of false alarms and missed alarms in traditional elevator alarm detection, and achieving accurate fault determination.
CN122403236APending Publication Date: 2026-07-17GUANGZHOU HAILIGE ELEVATOR CO LTD
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GUANGZHOU HAILIGE ELEVATOR CO LTD
- Filing Date
- 2026-06-10
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Traditional elevator alarm detection methods cannot adjust sensitivity according to usage scenarios and operating stages, leading to false alarms and missed alarms.
Method used
The elevator operation sequence is divided into multiple different stages, corresponding parameter variables and feature weights are configured, and correction coefficients are obtained in combination with elevator usage scenarios to dynamically adjust alarm thresholds to achieve differentiated alarm judgment.
Benefits of technology
It improves the accuracy of elevator alarm detection, avoids false alarms and missed alarms, and enables accurate alarms for the same fault under different operating conditions.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122403236A_ABST
Abstract
The application relates to the elevator technical field and provides a household elevator automatic detection and early warning method and system, the method comprising the following steps: dividing an elevator operation time sequence into multiple different operation stages, preconfiguring multiple different types of parameter variables and stage characteristic weights corresponding to each operation stage; acquiring multiple different elevator use scenes and corresponding scene correction coefficients; collecting current operation parameters of the elevator in real time, acquiring an operation stage and a use scene of the elevator, calling corresponding stage characteristic weights and scene correction coefficients, correcting a preset reference fault threshold to obtain an alarm threshold; comparing the current operation parameters of the elevator with the corresponding alarm threshold to complete alarm detection of the elevator. The application links actual use scenes and operation stages to adjust the alarm threshold, can realize differential alarm determination of the same fault under different working conditions, improves the alarm detection accuracy, and avoids the problems of false alarms and missed alarms.
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