A method and related device for identifying the non-interventional operation status of an elevator.

By deploying acceleration sensors on the elevator wall and using edge computing devices to construct phased feature sequences, the problem of elevator operation status identification in situations where access to the elevator control system is not possible is solved, achieving accurate identification of elevator operation status. This is applicable to scenarios such as elevator rescue and robot food delivery.

CN122078992APending Publication Date: 2026-05-26SHENZHEN QIANHAI BEE BEAT DIGITAL TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN QIANHAI BEE BEAT DIGITAL TECHNOLOGY CO LTD
Filing Date
2026-03-11
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Existing technologies are unable to efficiently acquire elevator operating status in scenarios where access to the elevator control system is unavailable, especially in elevator rescue and robot food delivery scenarios where it is difficult to accurately identify the elevator's operating status.

Method used

By deploying acceleration sensors on the walls of elevator equipment and using edge computing devices to collect acceleration data, a phased feature sequence is constructed, and the elevator's running direction and stopping position can be identified even when not connected to the elevator control system.

Benefits of technology

It enables accurate identification of elevator operating status without altering the elevator equipment's structure, improving applicability in scenarios where access to the elevator control system is not possible.

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Abstract

This application relates to a method and related apparatus for elevator non-interconnected operation status identification. The method includes: acquiring acceleration data collected by accelerometers pre-deployed on the elevator wall; constructing a phased feature sequence of the elevator equipment under different operating stages based on the changing trends of the acceleration data; and, based on the phased feature sequence, performing non-interconnected identification of the elevator equipment's running direction and stopping position without additional connection to the elevator control system, thereby obtaining the elevator equipment's operation status identification result. This method, through the collaborative processing of accelerometers and edge computing devices, enables the identification of elevator operation status without connection to the existing elevator control system, thus improving its applicability in scenarios where elevator control systems cannot be integrated, such as elevator rescue and robot food delivery.
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