본 논문에서는 화력발전소 열교환봉 제조공장에서의 위험요소 분석 및 해결책을 강구하기 위해 연구가 진행되었다. 공정의 문제점을 분석하였으며, 각각의 공정은 튜브로딩, 튜브샌딩등 출하 공정 총 11개의 공정으로 구성되었다. 산업안전 중 작업자 안전사고를 예방하기 위해 카메라를 이용한 비전분석을 통한 개인보호장구(Personal Protective Equipment, PPE) 개념을 도입하여, 작업자안전용구를 인식하게 하였다. 영상분석에는 YOLO 딥러닝 알고리즘을 사용하였으며, 학습데이터는 이미지 1000장을 라벨링 하여 7:2:1 비율로 훈련데이터셋, 검증데이터셋, 시험데이터셋으로 활용하였다. 공정 내 위험요소와 문제를 해결하기 위한 영상분석방법에 대하여 구체적으로 설명하고자 한다.
KSP Keywords
Personal Protective Equipment
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