A voiceprint recognition method and system for elevator operating state monitoring

By constructing a sound identification spectrum and comparing the sound differences under elevator operating conditions, the problems of insufficient adaptability and sensitivity of existing elevator monitoring methods have been solved, achieving higher monitoring accuracy and system stability, reducing false alarm rate, and ensuring elevator safety and maintenance efficiency.

CN120039731BActive Publication Date: 2026-07-24GUANGZHOU DAYIN ZHIYUAN DIGITAL TECH CO LTD
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Patent Information

Application Number
CN202510059377.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-01-15
Publication Date
2026-07-24
Estimated Expiration
2045-01-15

AI Technical Summary

Technical Problem

Existing elevator operation status monitoring methods are insufficient in terms of adaptability and sensitivity. They are difficult to adapt to changes in sound under different operating conditions and are easily affected by environmental noise, resulting in a high false alarm rate and reducing the reliability and practicality of the system.

Method used

By collecting sound samples of the elevator under different operating conditions, selecting the stable period as the benchmark sound segment, preprocessing to remove noise interference and enhance sound characteristics, constructing a sound identification spectrum, and comparing the newly collected sound with the identification spectrum to record the differences, the elevator status is assessed to determine whether it deviates from the normal range, and corresponding maintenance or alarm signals are triggered.

Benefits of technology

This improved the accuracy and reliability of elevator operation status monitoring, reduced the false alarm rate, enhanced the system's noise resistance and stability, and ensured the safe operation and maintenance efficiency of the elevator.

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Abstract

The present application belongs to the technical field of voiceprint recognition, and specifically relates to a voiceprint recognition method and system for elevator operation state monitoring. The present application adjusts the voiceprint feature model dynamically to adapt to sound changes under different working conditions, effectively removes noise interference and enhances sound features. The method constructs a sound identification atlas reflecting the sound characteristics of the normal operation of the elevator. By comparing the newly collected sound with the identification atlas and recording the difference points, and according to these difference points, whether the elevator state deviates from the normal range is evaluated. Finally, according to the evaluation result, a maintenance or alarm signal is triggered. This method not only improves the accuracy and reliability of the monitoring system, but also significantly enhances the noise resistance and stability of the system, reduces the false alarm rate, and realizes the rapid response to abnormal states, ensuring the safe operation of the elevator and improving the maintenance efficiency and safety.
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