드론을 활용한 풍력설비 관리 시스템 개발
Development of Wind Power Facility Management System using Drone
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This paper is to study the technology of inspection and history management systems for wind power that are continuously increasing around the world. In the past, inspections and analysis of major devices in renewable energy system have been operated in an analog way that identifies problems through photography and passive method. To improve this problem, we conduct a study on VR-based inspection history management system using 3D texturing technique of drone image. The paper describes the current status and prospects of wind power, research and development of wind power blade inspection and history management systems, experiments and reviews in the field, and expected effects and future utilization of this technology. It is expected that the latest technology for inspection and management of renewable system will be secured and introduced to the site through the development research of this system to reduce maintenance costs and power generation costs.
Abstract
This paper is to study the technology of inspection and history management systems for wind power that are continuously increasing around the world. In the past, inspections and analysis of major devices in renewable energy system have been operated in an analog way that identifies problems through photography and passive method. To improve this problem, we conduct a study on VR-based inspection history management system using 3D texturing technique of drone image. The paper describes the current status and prospects of wind power, research and development of wind power blade inspection and history management systems, experiments and reviews in the field, and expected effects and future utilization of this technology. It is expected that the latest technology for inspection and management of renewable system will be secured and introduced to the site through the development research of this system to reduce maintenance costs and power generation costs.
참고문헌 (9)
- 리껀, "PSO알고리즘을 이용한 풍력발전기 블레이드의 공력 형상 최적설계", 한국기계기술학회지, 19(5), pp.626~631 (2017), 한국기계기술학회[DOI]
- Weekly KDB Report, "JunHee Kang", The trend of digitization of wind power generation, 3~5 (2019)
- European Drone Market Trends and View, "Grobal Tech Korea", Global Technology Cooperation Foundation Development Project (GT) In-depth analysis report, ~ (2017)
- Bumsuk Kim, "Automated Inspection and Damage Detection System for Wind Turbine Blade Using Image Deep Learning Based 3-D Autonomous Flight Technology", The Korean Society for New and Renewable Energy, pp.173~ (2019)
- Global Wind Report, "Global Wind Energy Council", 1~80 (2021)
- 김병택, "풍력터빈 요 오정렬 보정에 따른 진동 저감 및 출력성능 향상 실증 연구", 한국기계기술학회지, 21(2), pp.333~339 (2019), 한국기계기술학회[DOI]
- "Siemens Solid Edge"[URL]
- "AI damage part automatic recognition function diagnosis"[URL]
- Renewable Energy 3020 Implementation Plan, "Ministry of Trade, Industry and Energy", 1~2 (2017)
