International Journal of Intelligent Information Systems

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Development of Operating Instructional System Using AR Technology in Chemical Plants

Received: 23 June 2015    Accepted: 1 July 2015    Published: 10 July 2015
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Abstract

In recent years, Japan's industrial accident rate has shown an increasing trend. This is especially remarkable due to chemical industrial complexes. As is well-known, many kinds of hazardous materials are being controlled in chemical facilities. If a serious accident occurs, there is the potential for severe damage to employees and the residents of local communities. A primary factor in these accidents is the lack of safety awareness, safety knowledge, safety management system deficiencies, and insufficiency of safety ethics. In addition, industrial technology is highly diversified and complicated. As a result, operators cannot grasp the whole situation of the abnormalities and potential crises present. In other words, operators are unable to take the appropriate safety measures to prevent accidents. In some cases, equipment failure shave developed into serious accidents due to incorrect operation by the operator. This paper presents systems that provide information to operators by using augmented reality (AR) technology in chemical plants. AR can enhance real-world environments using virtual objects such as computer graphics. This system can help plant operators to confirm procedures in order to ensure proper operation. Furthermore, the operator can recognize the equipment to be operated properly using a tablet PC with a built-in camera. The proposed system can provide the plant information based on the dynamic simulator (DS). In an emergency, chemical plant operators are required to make quick decisions to prevent the escalation of an accident. To convey accurate indication information of the work, it is useful to recognize target equipment using AR marker in addition to the output information by individual voice from control room. Our developed systems can support chemical plant operators to make quick decisions and to follow correct operating procedures.

DOI 10.11648/j.ijiis.20150404.11
Published in International Journal of Intelligent Information Systems (Volume 4, Issue 4, August 2015)
Page(s) 71-78
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Instructional System, AR, Operation Support, Human Error

References
[1] A. Nakai, Y. Kaihata, K. Suzuki, 2014. ”The Experience-Based Safety Training System Using Vr Technology for Chemical Plant”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol.5, No.11, pp.63-67.
[2] K. Suzuki, Y. Munesawa, A. Nakai, 2013 “Recent Accidents and Safety Activities in JAPAN”, AIChE Spring Meeting & 9th Global Congress on Process Safety, April.
[3] A. Komatsubara, 2008.“Human Error (second edition)”, Maruzen Publishing, in Japanese.
[4] Ministry of Health Labor and Welfare, 2003“Interim Report on Industrial Accident Survey”, in Japanese.
[5] S. Jürgen, 2013. “Process and Plant Safety – Research & Education Strategy to Keep Long Term Competences”, Chemical Engineering Transactions, vol.31.
[6] Norton, C., Cameron, I., Crosthwaite, C., Balliu, N., Tade, M., Shallcross, D., Hoadley, A., Barton, G., Kavanagh, J. 2008. “Development and deployment of an immersive learning environment for enhancing process systems engineering concepts”, Education for Chemical Engineers, vol. 3, 2,December pp.75-83.
[7] T Nakata, 2007. “Wisdom for Preventing Human Errors: Can all mistakes beeliminated ?”,Kagaku-Dojin Publishing, 2007 in Japanese
[8] Chen, Brian X, 2009. “IfYou’re Not Seeing Data, You’re Not Seeing”, Wired, 25 August.
[9] Nikkei Communications editorial office, 2009“AllAbout AR: Technology to innovate mobile phones and the Internet”, Nikkei Business Publishing, in Japanese.
[10] K. Oafish, Y. Sakurai, Y. Ishii, 2013. “An Adaptive AR Photographing Parameter Tuning for Industry Workspaces”, SICE Annual Conference 2013, September.
[11] T. Fabio,2013. “The HMI of the future will look very familiar,” Control Engineering, Vol. 60, No. 7, pp. 26-29.
[12] G. Baron, 2009. “Augmented Reality--Emerging Technology for Emergency Management” [90]
[13] Y. Ishii, K. Ooishi, Y. Sakurai, 2013.“Industrial Augmented Reality -Innovative operator assistance in collaboration with Augmented Reality-”, Yokogawa Technical Report English Edition Vol.56 No.2.
[14] H. Hara, H. Kuwabara, 2015. “ Innovation in Field Operations using Smart Devices with Augmented Reality Technology” FUJITUU,66,1 pp.11-17 (01 2015) in Japanese.
[15] O.Naef, P. Crausaz, 2006. “ 6th Sense System Augmented Reality Chemical Plant Supervision System”International Journal of Online Engineering (iJOE), Vol.2, No.4.
[16] H. Ishii, Z. Bian, H. Fujino, T. Sekiyama, T. Nakai,A. Okamoto, H. Shimoda,M. Izumi, Y. Kanehira, and Y. Morishita, 2007. “Augmented Reality Applications forNuclear Power Plant Maintenance Work”, International Symposium on Symbiotic Nuclear Power Systems for 21st Century (ISSNP).
[17] G. Fukano, K. Yokoyama, Y. Yahata, 2013. “MIRROR PLANT On-line Plant Simulator and its Applications”, Yokogawa Technical Report English Edition, vol.56 No.1, pp. 11- 14.
[18] K. Yamamoto, A. Nakai, K. Suzuki, 2013. “Development of Experienced-based Training System combined with Process Dynamic Simulation” Asia Pacific Symposium on Safety 2013.
Cite This Article
  • APA Style

    Atsuko Nakai, Shun Motoyoshi, Fuminori Oomori, Kazuhiko Suzuki. (2015). Development of Operating Instructional System Using AR Technology in Chemical Plants. International Journal of Intelligent Information Systems, 4(4), 71-78. https://doi.org/10.11648/j.ijiis.20150404.11

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    ACS Style

    Atsuko Nakai; Shun Motoyoshi; Fuminori Oomori; Kazuhiko Suzuki. Development of Operating Instructional System Using AR Technology in Chemical Plants. Int. J. Intell. Inf. Syst. 2015, 4(4), 71-78. doi: 10.11648/j.ijiis.20150404.11

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    AMA Style

    Atsuko Nakai, Shun Motoyoshi, Fuminori Oomori, Kazuhiko Suzuki. Development of Operating Instructional System Using AR Technology in Chemical Plants. Int J Intell Inf Syst. 2015;4(4):71-78. doi: 10.11648/j.ijiis.20150404.11

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  • @article{10.11648/j.ijiis.20150404.11,
      author = {Atsuko Nakai and Shun Motoyoshi and Fuminori Oomori and Kazuhiko Suzuki},
      title = {Development of Operating Instructional System Using AR Technology in Chemical Plants},
      journal = {International Journal of Intelligent Information Systems},
      volume = {4},
      number = {4},
      pages = {71-78},
      doi = {10.11648/j.ijiis.20150404.11},
      url = {https://doi.org/10.11648/j.ijiis.20150404.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20150404.11},
      abstract = {In recent years, Japan's industrial accident rate has shown an increasing trend. This is especially remarkable due to chemical industrial complexes. As is well-known, many kinds of hazardous materials are being controlled in chemical facilities. If a serious accident occurs, there is the potential for severe damage to employees and the residents of local communities. A primary factor in these accidents is the lack of safety awareness, safety knowledge, safety management system deficiencies, and insufficiency of safety ethics. In addition, industrial technology is highly diversified and complicated. As a result, operators cannot grasp the whole situation of the abnormalities and potential crises present. In other words, operators are unable to take the appropriate safety measures to prevent accidents. In some cases, equipment failure shave developed into serious accidents due to incorrect operation by the operator. This paper presents systems that provide information to operators by using augmented reality (AR) technology in chemical plants. AR can enhance real-world environments using virtual objects such as computer graphics. This system can help plant operators to confirm procedures in order to ensure proper operation. Furthermore, the operator can recognize the equipment to be operated properly using a tablet PC with a built-in camera. The proposed system can provide the plant information based on the dynamic simulator (DS). In an emergency, chemical plant operators are required to make quick decisions to prevent the escalation of an accident. To convey accurate indication information of the work, it is useful to recognize target equipment using AR marker in addition to the output information by individual voice from control room. Our developed systems can support chemical plant operators to make quick decisions and to follow correct operating procedures.},
     year = {2015}
    }
    

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  • TY  - JOUR
    T1  - Development of Operating Instructional System Using AR Technology in Chemical Plants
    AU  - Atsuko Nakai
    AU  - Shun Motoyoshi
    AU  - Fuminori Oomori
    AU  - Kazuhiko Suzuki
    Y1  - 2015/07/10
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijiis.20150404.11
    DO  - 10.11648/j.ijiis.20150404.11
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 71
    EP  - 78
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.20150404.11
    AB  - In recent years, Japan's industrial accident rate has shown an increasing trend. This is especially remarkable due to chemical industrial complexes. As is well-known, many kinds of hazardous materials are being controlled in chemical facilities. If a serious accident occurs, there is the potential for severe damage to employees and the residents of local communities. A primary factor in these accidents is the lack of safety awareness, safety knowledge, safety management system deficiencies, and insufficiency of safety ethics. In addition, industrial technology is highly diversified and complicated. As a result, operators cannot grasp the whole situation of the abnormalities and potential crises present. In other words, operators are unable to take the appropriate safety measures to prevent accidents. In some cases, equipment failure shave developed into serious accidents due to incorrect operation by the operator. This paper presents systems that provide information to operators by using augmented reality (AR) technology in chemical plants. AR can enhance real-world environments using virtual objects such as computer graphics. This system can help plant operators to confirm procedures in order to ensure proper operation. Furthermore, the operator can recognize the equipment to be operated properly using a tablet PC with a built-in camera. The proposed system can provide the plant information based on the dynamic simulator (DS). In an emergency, chemical plant operators are required to make quick decisions to prevent the escalation of an accident. To convey accurate indication information of the work, it is useful to recognize target equipment using AR marker in addition to the output information by individual voice from control room. Our developed systems can support chemical plant operators to make quick decisions and to follow correct operating procedures.
    VL  - 4
    IS  - 4
    ER  - 

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Author Information
  • Centerfor Safe and Disaster-Resistant Society, Okayama University, Okayama, Japan

  • Graduate School of Natural Science & Technology, Okayama University, Okayama, Japan

  • Graduate School of Natural Science & Technology, Okayama University, Okayama, Japan

  • Graduate School of Natural Science & Technology, Okayama University, Okayama, Japan

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