ManojKumar, Nallapaneni and Sudhakar, K. and Mahendran, Samykano and Jayaseelan, V. (2018) On the technologies empowering drones for intelligent monitoring of solar photovoltaic power plants. Procedia Computer Science, 133. pp. 585-593. ISSN 1877-0509. (Published)
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Abstract
Monitoring of solar photovoltaic power plants is an essential task that could enable efficient operation and maintenance. Active control and regular maintenance will enhance the photovoltaic plant's output performance and helps in reasonable or better returns on the investments made. The process of monitoring is done by conducting manual inspections, but due to technological advancements, the manual checks were replaced by intelligent systems, centralized control, and monitoring systems, surveillance cameras, robotics, drones, etc. Drones are becoming more suitable for the solar industry due to a wide range of surveillance capability, long range inspection, efficient data logging capability, easy to control and access from the central level, etc. In this paper, the role of drones in solar photovoltaic power plants, and scope for enabling intelligence and automation in drones for the active monitoring and data logging is discussed. Various types drones and their configurations along with the dynamics are also considered. A study on the technologies behind the drone intelligence and automation were identified and discussed. From this study, it was found that Recognition Technologies (RT), Artificial Intelligence (AI), and Machine Learning (ML) could empower the drones and make the monitoring of large-scale solar power plants easier. This study could help the developers and researcher who are working on intelligent drones for specialist care of massive solar parks, unaccessible remote solar plants, etc.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Drones; solar power plants; monitoring of solar plants; drones in the solar industry;intelligent drones; autonomous drones |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 23 Jan 2019 02:18 |
| Last Modified: | 23 Jan 2019 02:18 |
| URI: | http://umpir.ump.edu.my/id/eprint/23915 |
| Download Statistic: | View Download Statistics |
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