On the technologies empowering drones for intelligent monitoring of solar photovoltaic power plants
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TL;DR: 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.
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About: This article is published in Procedia Computer Science. The article was published on 01 Jan 2018. and is currently open access. The article focuses on the topics: Solar power & Photovoltaic system.
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Citations
Applicability of Wearable Smart Glass for Solar Power Plant Operation and Maintenance
Nallapaneni Manoj Kumar,Pratima Das,Jayanna Kanchikere +2 more
- 01 Aug 2018
TL;DR: The theoretical study was carried out in monitoring the feasibilities of capturing images of the photovoltaic (PV) module for addressing dust and temperature problems, identifying the location of the power plant, noise monitoring of the system components, detection of power cables using magnetometers, tracking of visually enriched images under light conditions etc.
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Automatic Extraction of Photovoltaic Panels from UAV Imagery with Object-Based Image Analysis and Machine Learning
Imane Souffer,Mohamed Sghiouar,Imane Sebari,Yahya Zefri,Hicham Hajji,Ghassane Aniba +5 more
- 01 Jan 2022
TL;DR: In this article, an automatic pipeline for photovoltaic panels extraction based on Object-Based Image Analysis (OBIA) and machine learning (ML) is developed. But, the proposed pipeline is limited to a single UAV.
8
Optical Head, Mounted Displays (OHMD’s) in Visual Inspection of Solar and Wind Power Systems
Nallapaneni Manoj Kumar,Abhijit Sanjay Pande,P. Ruth Rejoice +2 more
- 01 Aug 2018
TL;DR: From this study, it is found that OHMD’s and their extended services help in attaining the sustainable benefits to the renewable energy power systems.
8
Construction industry towards IR 4.0 - A review
Diana Che Lat,S. N. A. Mohd Noor,Nfa Abdul Rahman,Roslizayati Razali +3 more
- 03 May 2021
TL;DR: Some of the elements to support the construction industry to move toward IR 4.0 are discussed in this paper including Building Information Modeling (BIM), the use of drone or Unmanned Aerial Vehicles (UAE) to monitor construction site, virtual meeting among stakeholders and theUse of prefabrication works such as Industrial Building System (IBS).
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Automated detection and tracking of photovoltaic modules from 3D remote sensing data
Andressa Cardoso,David Jurado-Rodríguez,Alfonso López,M. I. Ramos,J. M. Jurado +4 more
TL;DR: This study develops an automated method for detecting and tracking photovoltaic modules from 3D remote sensing data using UAVs, achieving a 99.12% detection rate and 0.88% false positive rate, enabling real-time monitoring and inspection of solar panels.
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TL;DR: In this paper, the simulated performance of a 100 kWp grid connected Si-poly photovoltaic system is analyzed for evaluating the effective energy output of the PV array, energy injected into the grid, performance ratio and other normalized energy productions per installed kWp.
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