Descrizione del progetto
I droni ispezionano le turbine eoliche
I velivoli senza pilota (UAV) stanno iniziando a svolgere un ruolo nell’esecuzione delle ispezioni delle pale delle turbine eoliche. Rispetto alle ispezioni manuali, le soluzioni basate su droni sono in grado di fornire un’ispezione versatile ed economica delle turbine eoliche. Il progetto Windrone Zenith, finanziato dall’UE, sta sviluppando una soluzione per eseguire l’ispezione di 3 pale in un unico volo. La sua tecnologia è dotata di un'apparecchiatura hardware di controllo di elevata precisione abbinata a un software intelligente. Gli algoritmi di apprendimento automatico verranno utilizzati per migliorare continuamente il rilevamento automatico dei difetti facendo riferimento a una banca dati in continua crescita di immagini acquisite e all’analisi delle stesse. Una speciale piattaforma di rendicontazione cloud consentirà ai clienti di accedere ai rapporti stilati.
Obiettivo
"Over the lifetime of a wind turbine, operation and maintenance costs represent 25% of total levelised cost per kWh produced. The majority of these costs are attributed to the wind turbine’s blades, yet current methods of inspecting these blades are outdated and inefficient.
Blade inspection procedures still largely relies on qualified inspectors roping down each blade to manually inspect for any flaws or defects present on the blade. This is clearly a very hazardous, time-consuming (5 hours), and expensive method (€1500).
Other less used methods of blade inspection include capturing blade images from ground cameras and manual review by
experts. However, poor image quality and strong backlight leaves many blade flaws undetected.
Unmanned Aerial Vehicles (UAVs) are now being used to take pictures of the blades from much closer up. Current UAV's however require dedicated experts for both flight control as well as image processing, analysis, and fault detection.
Pro-Drone's integrated WindDrone Zenith’s solution is a breakthrough solution providing enabling 3-blade inspection in a single flight. Our technology solution is fully equipped with highly accurate inspection equipment hardware coupled with smart software. The software allows the UAV to be fly autonomously, avoid collisions, automatically detect any faults, and generate reports for the customer on each wind turbine inspected. Machine learning algorithms are used to continuously improve automated fault detection based on a growing database of captured images and their analysis. Our ""BladeInsight"" cloud reporting platform makes actionable reports available to our customers as part of this solution. Pro-Drone Zenith provides for a 50% direct cost saving, and decreases turbine inspection downtime by 6X, as compared to existing methods."
Campo scientifico
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- engineering and technologyenvironmental engineeringenergy and fuelsrenewable energywind power
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programma(i)
Argomento(i)
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SMEInst-2018-2020-2
Meccanismo di finanziamento
SME-2 - SME instrument phase 2Coordinatore
2740-122 PORTO SALVO
Portogallo
L’organizzazione si è definita una PMI (piccola e media impresa) al momento della firma dell’accordo di sovvenzione.