인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
Traditionally, railway rolling stock maintenance has relied on manpower; however, with recent technological advancements, AIS are increasingly being integrated into rolling stock maintenance, with a focus on automated visual inspection. Although research on AIS-related technologies is active, it predominantly centers on the technology itself, with limited studies predicting the potential impacts of AIS implementation. This paper aims to forecast the effects of budget investment and process modifications following AIS integration into urban railway rolling stock maintenance operations, using Business Process Modeling and Monte Carlo simulation. The BPM analysis revealed that AIS application shifts the existing inspection process to prioritize AIS-generated defect detection data, reducing human inspector involvement. When no defects are detected by AIS, the inspection process is streamlined, enhancing efficiency. A Monte Carlo simulation was conducted on five components—pantograph, coupler & jumper, axle box, and pad & shoe—using BPM result and direct site observations as simulation parameters. The simulation results quantitatively estimate reductions in working time and costs for each component. These findings support the view that AIS implementation positively influences urban railway rolling stock maintenance inspections and operations.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-151-25-02-093009510
