Work quality control method, work quality control system, and work quality control device

The work quality management system uses wearable sensors to detect resonant frequency peaks from manual work sounds, addressing the lack of torque detection in devices and enhancing defect identification efficiency.

JP7864624B2Active Publication Date: 2026-05-25HITACHI LTD
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
HITACHI LTD
Filing Date
2022-12-13
Publication Date
2026-05-25

AI Technical Summary

Technical Problem

Existing systems fail to effectively detect manufacturing defects caused by human errors in manual work, particularly in tasks like electrical wiring and screw tightening, due to the lack of torque detection functions in devices such as electric screwdrivers, leading to increased costs and delays in identifying and addressing issues.

Method used

A work quality management system that utilizes a wearable sensor to digitize sound emitted by a rotating device, detects resonant frequency peaks, and determines normal or abnormal operations based on these peaks, providing real-time feedback to operators.

Benefits of technology

Enables the detection of abnormalities in manual work without direct torque detection, reducing computational resources and improving accuracy in identifying and addressing defects promptly.

✦ Generated by Eureka AI based on patent content.

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Abstract

To perform abnormality detection with respect to work that uses equipment not provided with a function for direct detection of a physical quantity derived from rotation of a built-in rotary body.SOLUTION: A work quality management system S manages work quality of a worker performing work using rotation of a rotary body provided on equipment. A work quality management method executed by the work quality management system S includes: a signal processing step of generating a sensor signal by digitizing sound which is emitted from the equipment, derived from the rotation of the rotary body, and detected by a microphone; a detection step of detecting, from the sensor signal, a resonant frequency peak derived from resonant frequency sound; and an operation checking step of recognizing an operation period of the equipment, on the basis of the resonant frequency peak; a signal determination step of determining whether the work is normal or abnormal on the basis of the resonant frequency peak in the operation period recognized in the operation checking step; and a notification step of notifying a user of the determination result obtained in the signal determination step.SELECTED DRAWING: Figure 9
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