Fault Maintenance and Repair Application Based on Augmented Reality Technology in Electrical Distribution Systems
Autor: | E. Mustafa Yeğin, Gökmen Hasançebi, Korhan Karaarslan |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Cultural Studies
Linguistics and Language History Computer science Augmented Reality Fault Scenario Object Recognition SCADA Real-time computing Cognitive neuroscience of visual object recognition Mühendislik Fault (power engineering) Language and Linguistics Distribution system Engineering SCADA Anthropology Augmented reality |
Zdroj: | Volume: 4, Issue: 1 69-78 Kocaeli Journal of Science and Engineering |
ISSN: | 2667-484X |
Popis: | This study presents an AR technology-based software that will work on mobile platforms and the pilot application of this software to solve the possible problems that may be experienced other than routine maintenance activities on protection/control panels and devices in SCADA centers. AR is essentially an information technology that provides the ability to present digital data and images in the same environment as our real world through its visualization, instruction/guidance, and interaction capabilities. Object recognition methods, necessary software, and infrastructure requirements are mentioned in this study in order to benefit from these advantages of AR technology correctly. Different scenarios have been created by using AR for possible failures in automation panels in a distribution center with a telemetry system. Finally, an exemplary scenario in the study is realized in a distribution center located in the SEDAŞ area of responsibility. |
Databáze: | OpenAIRE |
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