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Windrone Zenith SIGNED

Autonomous & Intelligent UAV-based Wind Turbine Inspection System for Cost-effective, Reliable, Safe and Actionable Blade Fault Detection and Prediction

Total Cost €

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EC-Contrib. €

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Partnership

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 Windrone Zenith project word cloud

Explore the words cloud of the Windrone Zenith project. It provides you a very rough idea of what is the project "Windrone Zenith" about.

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Project "Windrone Zenith" data sheet

The following table provides information about the project.

Coordinator
PRO-DRONE, SA 

Organization address
address: SINES TECNOPOLO Z.I.L. II, 122-A
city: SINES
postcode: 7520-309
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Portugal [PT]
 Total cost 1˙956˙416 €
 EC max contribution 1˙339˙396 € (68%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-2
 Funding Scheme SME-2
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2021-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PRO-DRONE, SA PT (SINES) coordinator 1˙339˙396.00

Map

 Project objective

'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majority of these costs are attributed to the wind turbine’s blades, yet current methods of inspecting these blades are outdated and inefficient.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.'

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The information about "WINDRONE ZENITH" are provided by the European Opendata Portal: CORDIS opendata.

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