6533b827fe1ef96bd12871dc
RESEARCH PRODUCT
Unmanned Aerial Vehicle-Based Non Destructive Diagnostics
Silvano VerguraFrancescomaria MarinoPietro Romanosubject
Computer scienceComputer Networks and CommunicationsMultimedia databaseReal-time computingEnergy Engineering and Power TechnologyCloud computingPV modulesdigital image processingIndustrial and Manufacturing EngineeringUploadSoftwareComputer aided diagnostics; digital image processing; drone based monitoring; PV cells; PV modules; thermography; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment; Industrial and Manufacturing Engineering; InstrumentationPV moduleArtificial IntelligenceComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSInstrumentation (computer programming)Renewable EnergyProtocol (object-oriented programming)InstrumentationSustainability and the Environmentbusiness.industryPV cellsRenewable Energy Sustainability and the EnvironmentPV cellPhotovoltaic systemComputer Science Applications1707 Computer Vision and Pattern RecognitionDronedrone based monitoringthermographySettore ING-IND/31 - ElettrotecnicaComputer Networks and CommunicationComputer aided diagnosticsbusinesscomputer aided diagnosticdescription
The paper proposes a cloud platform for analyzing the radiometric infrared videos uploaded by drones which patrol large photovoltaic plants. Thanks to artificial vision algorithms, it does not require any human support to select and associate the framed PV modules to the corresponding ones in the topology of the photovoltaic plant. The algorithm implements an innovative diagnostic protocol, which evaluates the thermal state of the photovoltaic module, whichever the environmental conditions are. The data automatically computed and collected in a multimedia database provide the O&M technicians with significant information to monitor the ageing of each module of the photovoltaic plant. The proposed platform also integrates a cloud-based software, named DISS, which provides quantitative and deeper information about the thermal behavior of the photovoltaic modules.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2018-09-01 |