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A Study on the Automatic Matching Algorithm of Transporter and Working Block for Block Logistics Management

블록 물류 관리를 위한 트랜스포터와 작업 블록 자동 매칭 알고리즘 연구

  • Song, Jin-Ho (Dept. of Naval Architecture & Ocean Engineering, Chungnam National University) ;
  • Park, Kwang-Phil (Dept. of Naval Architecture & Ocean Engineering, Chungnam National University) ;
  • Ok, Jin-Sung (Industrial Application R&D Institute, Daewoo Ship & Marine Engineering)
  • 송진호 (충남대학교 선박해양공학과) ;
  • 박광필 (충남대학교 선박해양공학과) ;
  • 옥진성 (대우조선해양(주) 산업기술연구소)
  • Received : 2022.08.16
  • Accepted : 2022.09.19
  • Published : 2022.10.20

Abstract

During the shipbuilding process, many blocks are moved between shipyard workshops by block carrying vehicles called a transporter. Because block logistics management is one of the essential factors in enhancing productivity, it is necessary to manage block information with the transporter that moves it. Currently, because a large amount of data per day are collected from sensors attached to blocks and transporters via IoT infrastructure installed in shipyards, automated methods are needed to analyze them. Therefore, in this study, we developed an algorithm that can automatically match the transporter and the working block based on the GPS sensor data. By comparing the distance between the transporter and the blocks calculated from the Haversine formula, the block is found which is moved by the transporter. In this process, since the time of the measured data of moving objects is different, the time standard for calculating the distance must be determined. The developed algorithm was verified using actual data provided by the shipyard, and the correct result was confirmed with the distance based on the moving time of the transporter.

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Acknowledgement

이 논문은 2022년도 정부 (산업통상자원부)의 재원으로 한국산업기술진흥원의 지원을 받아 수행된 연구임 (P0001968, 2022년 산업혁신인재성장지원사업)