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.
Published in | International Journal of Intelligent Information Systems (Volume 4, Issue 4) |
DOI | 10.11648/j.ijiis.20150404.11 |
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), 2015. Published by Science Publishing Group |
Instructional System, AR, Operation Support, Human Error
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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
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
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
@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} }
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 -