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A Study on Risk Assessment of Container Terminals and Application of Industrial Safety AI Chatbot Technology

컨테이너 터미널의 위험성평가 및 산업안전 AI 챗봇기술 적용방안 연구

  • Hwi Jin Kang (National Safety Competency Association, ICT Convergence Disaster Management Research Institute, Sogang University) ;
  • Sang Jun Han (National Safety Competency Association)
  • 강휘진 (국민안전역량협회, 서강대학교 ICT융합재난안전연구소) ;
  • 한상준 (국민안전역량협회)
  • Received : 2022.11.29
  • Accepted : 2022.12.02
  • Published : 2022.12.31

Abstract

During the 10 years from 2011 to 2021, a whopping 2,800 people were killed or injured during port work. Among them, the frequency of occurrence at the port loading and unloading business is high. Container terminal operators must conduct risk assessments and establish reasonable safety measures in accordance with laws and regulations. As a research method, the contents of risk assessment presented in the Industrial Safety and Health Act, the Serious Accident Punishment Act, and the Special Act on Port Safety are presented through literature analysis. In this study, previous studies were analyzed to examine the risk assessment method and risk factors of container terminals. The purpose is to present 'industrial safety AI chatbot technology' that can improve the risk of safety accidents.

2011년부터 2021년까지 10년 동안 항만 작업 중 숨지거나 다친 사람이 무려 2,800명에 달한다. 그중에서도 항만하역사업장에서 발생하는 빈도수가 높다. 컨테이너 터미널 사업자는 법령에 따라 위험성평가를 실시하고 합리적인 안전대책을 수립하여야 한다. 연구방법으로는 문헌분석을 통하여 산업안전보건법, 중대재해처벌법, 항만안전특별법에서 제시하는 위험성평가에 대한 내용을 제시한다. 본 연구에서는 기존 선행연구를 분석하여 컨테이너터미널의 위험성평가방법 및 유해위험요인을 살펴본다. 이러한 안전사고 위험을 개선할 수 있는 '산업안전 AI 챗봇기술'을 제시하는데 목적이 있다.

Keywords

Acknowledgement

This work is a study conducted with the support of the Korea Regional Information Development Institute, a life safety research and development project tailored to national demand, funded by the Ministry of Public Administration and Security in 2022(NO. 2022-MOIS41-003).

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