Object recognition based power plant management system in smart grid using smart device

Today, the world is facing diverse problems such as energy saving, climate change and economic growth etc. To overcome those problems, an introduction of a smart grid is considered to be dispensable for satisfying future energy requirements such as rationalization of power consumption, stimulation o...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Young-Jae Lee, Kyeong-Jin Ban, Kyoung-Wook Park, Seung-Heon Song, Eung-Kon Kim
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Today, the world is facing diverse problems such as energy saving, climate change and economic growth etc. To overcome those problems, an introduction of a smart grid is considered to be dispensable for satisfying future energy requirements such as rationalization of power consumption, stimulation of low-carbon energy technologies through less consumption of fossil fuel, greater use of renewable energy like photovoltaic and wind power, and a need of next-generation growth engine. In this paper, an object recognition based smart grid photovoltaic power facility management system is proposed. Using the proposed system, maintenance and repairs required due to regular inspection or faults can be carried out more efficiently in a remote site. Additionally, the proposed system takes an object recognition based technology instead of using QR code when recognizing the facility. It implies that this approach can be applied straight away to an existing system because it does not require any need of attaching an additional equipment to an existing smart grid power facility. Furthermore, the proposed system applies a markerless-based object recognition technique. Therefore it is expected that this service can be easily extended to recognizing other types of facilities such as smart grid transmission and distribution facilities in the future.
ISSN:1738-9445
DOI:10.1109/ICACT.2014.6779170