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An Experimental Examination on Autonomous Recovery Algorithm of Piping System

배관체계 자율형 사고 대응 알고리즘에 대한 실험적 고찰

  • Dae Won Yang (Global Manufacturing & Infra Technology, Samsung Electronics) ;
  • Byungchang Jung (Department of System Dynamics, Korea Institute of Machinery & Materials) ;
  • Seong Rok Kim (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Chaemin Lee (Department of Safety Engineering, Chungbuk National University) ;
  • Yun-Ho Shin (Department of Naval Architecture and Ocean Engineering/GCRC-SOP, Pusan National University)
  • 양대원 (삼성전자 DS사업부 글로벌 제조&인프라 총괄 EHS팀) ;
  • 정병창 (한국기계연구원 시스템다이나믹스연구실) ;
  • 김성록 (부산대학교 조선해양공학과) ;
  • 이채민 (충북대학교 안전공학과) ;
  • 신윤호 (부산대학교 조선해양공학과)
  • Received : 2023.02.20
  • Accepted : 2023.04.12
  • Published : 2023.04.30

Abstract

In various industrial sites, piping systems play an essential role in stable fluid supply and pressure maintenance. However, these systems are constantly exposed to risks of earthquakes, explosions, fires, and leaks, which can result in casualties or serious economic losses. With rapid advancements in the industry, different-sized piping systems have been launched; however, there are not enough maintenance personnel for troubleshooting and responding to situations where damages occur to piping systems. This increases the need for introducing autonomous damage management systems. In this study, a lab-based piping system was designed and manufactured by referring to the piping system of a naval ship to analyze the effectiveness of autonomous damage management systems. By using this testbed, a representative algorithm, the hydraulic resistance control algorithm, was realized and examinedIn addition, the difference between the averaged pressure and normalized pressure was introduced to improve the performance of the existing algorithm, which faces some limitations with regard to sensor noise and back pressure from the rupture-simulated pipeline part.

Keywords

Acknowledgement

This work was supported by Pusan National University Research Grant (2022, 신임교수연구 정착금) and Main Project of Korea Institute of Machinery and Materials (NK244B).

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