Abnormality detection method, system and electronic device of vehicle seat and storage medium

CN122171218APending Publication Date: 2026-06-09BEIJING CO WHEELS TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
BEIJING CO WHEELS TECH CO LTD
Filing Date
2024-12-06
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies suffer from insufficient accuracy, low efficiency, and poor reliability in detecting anomalies in vehicle seat massage functions. In particular, manual detection methods are limited by human hearing sensitivity, subjectivity, and the influence of environmental noise, making it difficult to meet the needs for rapid and accurate detection.

Method used

By acquiring the raw audio data when the vehicle seat massage function is on, Fourier transform and A-weighting are used to generate sound pressure level sequence information, which is then compared with the target sound pressure level threshold to automatically detect the presence of abnormal noise.

Benefits of technology

It achieves efficient, accurate and stable testing of vehicle seat massage functions, reduces missed and false detections, adapts to the needs of large-scale production, and improves testing consistency and product quality.

✦ Generated by Eureka AI based on patent content.

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Abstract

The embodiment of the application provides an abnormality detection method and system for a vehicle seat, the method comprising: acquiring original audio data of the vehicle seat under the condition that a massage function is turned on; calculating sound pressure level sequence information of the original audio data; and detecting whether the vehicle seat is abnormal under the condition that the massage function is turned on by using the sound pressure level sequence information and a target sound pressure level threshold. The embodiment of the application realizes comprehensive improvement in accuracy, efficiency, stability and reliability through automatic audio data acquisition and analysis. Compared with the traditional manual detection method, the scheme can significantly improve the accuracy of the detection result, reduce the risk of missed detection and false detection, improve the production line detection efficiency, adapt to large-scale production demand, and further improve the product quality and consistency.
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