Earticle

초록

영어

Inappropriate work postures in industry can cause musculoskeletal fatigue and strain, leading to work inefficiency, quality problems, and safety accidents. Therefore, a system capable of recognizing and intervening in dangerous postures during work in real time is needed not only for industrial safety but also for project performance management. This study proposes a 2-channel real-time work posture management system that combines RULA analysis based on frontal upper body images and REBA analysis based on lateral full-body images. The proposed prototype was implemented using synchronized frontal and lateral cameras and was preliminarily applied to three participants performing terminal connection tasks in an actual manufacturing environment under no-alarm and alarm conditions. The system records posture risks every second and generates an alarm sound if a dangerous posture persists in the same body part for more than 3 seconds. As a result of the preliminary application, the rate of adopting dangerous neck postures under alarm conditions decreased. The maximum time maintained in dangerous neck postures was also reduced. However, since this study was conducted with only three participants and a single task condition, these results should be interpreted as preliminary results demonstrating the applicability of the prototype rather than as general effects.

목차

Abstract
1. 서론
2. 개발방법
2.1 개발환경 및 사용장비
2.2 시스템 구성 및 분석절차
2.3 데이터 기록 및 경보 방식
3. 실험결과
3.1 실험 설계
3.2 실험 결과
4. 토의 및 결론
[References]

키워드

저자

• 정영환 [ Younghwan Jung | 국립한밭대학교 대학원 스마트시스템경영공학과 박사과정 ] 제1저자
• 류태범 [ Teabeum Ryu | 국립한밭대학교 산업경영공학과 교수 ] 교신저자

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  프로젝트경영연구 [Project Management Review]

• 간기

  반년간

• eISSN

  2799-3434

• 수록기간

  2021~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658