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Design and application of secondary operation and maintenance supervision system based on AR modeling and indoor positioning

Author

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  • Meng Han
  • Xianfei Zhou
  • Jianlin Jiao
  • Jiabo Chen
  • Kai Xu

Abstract

In order to facilitate the observation in the process of secondary equipment operation and maintenance supervision and the detection and tracking of operation and maintenance personnel, a secondary operation and maintenance supervision system based on AR modeling and indoor positioning is designed. The whole system is divided into seven levels and a unified information base, in which the basic level contains all kinds of secondary equipment; AR modeling layer uses augmented reality technology to create models for each secondary equipment in the basic layer, and determines the equipment position information based on ranging positioning technology; The data acquisition layer collects all kinds of original management data based on the constructed secondary equipment model; The data analysis layer reads and analyzes the information of the data acquisition layer through the data bus; The process support layer provides task scheduling support for the integrated management application based on the data analysis results; The integrated application layer uniformly monitors the secondary equipment based on the task scheduling results; The presentation layer is responsible for the interface presentation of all operation and maintenance and security management information of the system, and the unified information base provides data support for the whole system. The experimental results show that the secondary equipment model in the designed system has high definition, can obtain more image details, can realize the 3D display and real-time interaction of the secondary equipment operation and maintenance supervision results, and accurately mark the target and track for the staff.

Suggested Citation

  • Meng Han & Xianfei Zhou & Jianlin Jiao & Jiabo Chen & Kai Xu, 2023. "Design and application of secondary operation and maintenance supervision system based on AR modeling and indoor positioning," PLOS ONE, Public Library of Science, vol. 18(10), pages 1-21, October.
  • Handle: RePEc:plo:pone00:0290419
    DOI: 10.1371/journal.pone.0290419
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    References listed on IDEAS

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    1. Bensmain, Yassir & Dahane, Mohammed & Bennekrouf, Mohammed & Sari, Zaki, 2019. "Preventive remanufacturing planning of production equipment under operational and imperfect maintenance constraints: A hybrid genetic algorithm based approach," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 546-566.
    2. Dimitris Mourtzis, 2020. "Simulation in the design and operation of manufacturing systems: state of the art and new trends," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 1927-1949, April.
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