Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

Windrone Zenith

Financiado

Cerrado

Autonomous Intelligent UAV based Wind Turbine Inspection System for Cost effec...

Autonomous Intelligent UAV based Wind Turbine Inspection System for Cost effective Reliable Safe and Actionable Blade Fault Detection and Prediction "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 inspecti... ver más

31/08/2021

BLADEINSIGHT

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

BLADEINSIGHT SA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 2 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2021-08-31

EIC-SMEInst-2018-2020: SME instrument

I+D

Cerrada hace 7 años

0% 68% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

2 Participantes

BLADEINSIGHT

1.34M€ | Lider

PHARMA MAR

1.36M€ | Participante

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Proyectos interesantes

Wind-Drone A powerful UAV based ICT solution allowing safe reliable an... 71K€ Cerrado

A2MIRO Airbone Asset Management Inspection Robot Offshore 71K€ Cerrado

Romain Development of a robotic maintenance system for wind turbine... 4M€ Cerrado

RTC-2014-1977-3 INSPECCION AUTONOMA DE AEROGENERADORES EN FUNCIONAMIENTO 398K€ Cerrado

WEGOOI Wind Energy Generator Onshore and Offshore Inspector 1M€ Cerrado

SheaRIOS Wind Turbine Shearography Robotic Inspection On blade System... 3M€ Cerrado

Duración del proyecto: 23 meses Fecha Inicio: 2019-09-10
Fecha Fin: 2021-08-31

Líder del proyecto

BLADEINSIGHT SA No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto "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."

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores