Explore the words cloud of the Windrone Zenith project. It provides you a very rough idea of what is the project "Windrone Zenith" about.
The following table provides information about the project.
Coordinator |
PRO-DRONE, SA
Organization address contact info |
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 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | PRO-DRONE, SA | PT (SINES) | coordinator | 1˙339˙396.00 |
'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majority of these costs are attributed to the wind turbine’s blades, yet current methods of inspecting these blades are outdated and inefficient.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.'
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "WINDRONE ZENITH" project.
For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.
Send me an email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.
Thanks. And then put a link of this page into your project's website.
The information about "WINDRONE ZENITH" are provided by the European Opendata Portal: CORDIS opendata.