Q3678767 (Q3678767): Difference between revisions
Jump to navigation
Jump to search
(Changed an Item: Edited by the infer coords bot - inferring coordiantes from postal codes) |
(Created claim: summary (P836): To detect internal blade defects, two possible solutions are currently possible: — cordist (a technician descends as a reminder along the blade): slow and dangerous — lift lift: expensive, long immobilisation of the wind turbine, dangerous Clarity is faster (reduction of wind turbine operating losses), safer (no certification and safety protocols), hence more profitable for the customer. Clarity allows the evolution towards predictive control o...) |
||||||||||||||
| Property / summary | |||||||||||||||
To detect internal blade defects, two possible solutions are currently possible: — cordist (a technician descends as a reminder along the blade): slow and dangerous — lift lift: expensive, long immobilisation of the wind turbine, dangerous Clarity is faster (reduction of wind turbine operating losses), safer (no certification and safety protocols), hence more profitable for the customer. Clarity allows the evolution towards predictive control of blades, a true innovation of use that changes current practices in an approach of economy of scale and quality gain. For technological innovation, Clarity will rely on dynamic therography, which is a known active detection technique in industry, fixed station and closed environment. The research laboratory GRESPI has already put it into practice on aircraft wings (Dassault) and thermal engines (Peugeot). The innovation here is to bring the technique to the outside, on a mobile vector, and by developing a digital processing of sharp images. Digital innovation is located on: — the drone: semi-automatic guidance for semi-autonomous flight — image processing: fault detection in a continuous video image stream — automatic fault detection on image: image recognition (English) | |||||||||||||||
| Property / summary: To detect internal blade defects, two possible solutions are currently possible: — cordist (a technician descends as a reminder along the blade): slow and dangerous — lift lift: expensive, long immobilisation of the wind turbine, dangerous Clarity is faster (reduction of wind turbine operating losses), safer (no certification and safety protocols), hence more profitable for the customer. Clarity allows the evolution towards predictive control of blades, a true innovation of use that changes current practices in an approach of economy of scale and quality gain. For technological innovation, Clarity will rely on dynamic therography, which is a known active detection technique in industry, fixed station and closed environment. The research laboratory GRESPI has already put it into practice on aircraft wings (Dassault) and thermal engines (Peugeot). The innovation here is to bring the technique to the outside, on a mobile vector, and by developing a digital processing of sharp images. Digital innovation is located on: — the drone: semi-automatic guidance for semi-autonomous flight — image processing: fault detection in a continuous video image stream — automatic fault detection on image: image recognition (English) / rank | |||||||||||||||
Normal rank | |||||||||||||||
| Property / summary: To detect internal blade defects, two possible solutions are currently possible: — cordist (a technician descends as a reminder along the blade): slow and dangerous — lift lift: expensive, long immobilisation of the wind turbine, dangerous Clarity is faster (reduction of wind turbine operating losses), safer (no certification and safety protocols), hence more profitable for the customer. Clarity allows the evolution towards predictive control of blades, a true innovation of use that changes current practices in an approach of economy of scale and quality gain. For technological innovation, Clarity will rely on dynamic therography, which is a known active detection technique in industry, fixed station and closed environment. The research laboratory GRESPI has already put it into practice on aircraft wings (Dassault) and thermal engines (Peugeot). The innovation here is to bring the technique to the outside, on a mobile vector, and by developing a digital processing of sharp images. Digital innovation is located on: — the drone: semi-automatic guidance for semi-autonomous flight — image processing: fault detection in a continuous video image stream — automatic fault detection on image: image recognition (English) / qualifier | |||||||||||||||
point in time: 18 November 2021
| |||||||||||||||
Revision as of 16:36, 18 November 2021
Project Q3678767 in France
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3678767 in France |
Statements
74,915.4 Euro
0 references
214,044.0 Euro
0 references
35.0 percent
0 references
30 April 2018
0 references
30 April 2020
0 references
SupAirVision
0 references
48°15'46.30"N, 4°4'0.91"E
0 references
10430
0 references
Pour détecter les défauts internes aux pales, deux solutions possibles actuellement : - cordiste (un technicien descend en rappel le long de la pale) : lent et dangereux - nacelle élévatrice : coûteux, immobilisation longue de l'éolienne, dangereux Clarity est plus rapide (réduction des pertes d'exploitation de l'éolienne), plus sûr (pas de certification et de protocoles de sécurité), donc plus rentable pour le client. Clarity permet l'évolution vers le contrôle prédictif des pales, véritable innovation d'usage qui modifie les pratiques actuelles dans une démarche d'économie d'échelle et de gain de qualité. Pour l'innovation technologique, Clarity va s'appuyer sur la thermographie dynamique qui est une technique de détection active connue dans l'industrie, à poste fixe et en milieu fermé. Le laboratoire de recherche Grespi l'a déjà mise en pratique sur ailes d'avion (Dassault) et moteurs thermiques (Peugeot). L'innovation est ici de porter la technique en milieu extérieur, sur un vecteur mobile, et en développant un traitement numérique des images pointu. L'innovation numérique est localisée sur : - le drone : guidage semi-automatique pour vol semi-autonome - le traitement d'images : détection des défauts dans un flux d'images vidéo continu - la détection des défauts automatique sur image : reconnaissance d'images (French)
0 references
To detect internal blade defects, two possible solutions are currently possible: — cordist (a technician descends as a reminder along the blade): slow and dangerous — lift lift: expensive, long immobilisation of the wind turbine, dangerous Clarity is faster (reduction of wind turbine operating losses), safer (no certification and safety protocols), hence more profitable for the customer. Clarity allows the evolution towards predictive control of blades, a true innovation of use that changes current practices in an approach of economy of scale and quality gain. For technological innovation, Clarity will rely on dynamic therography, which is a known active detection technique in industry, fixed station and closed environment. The research laboratory GRESPI has already put it into practice on aircraft wings (Dassault) and thermal engines (Peugeot). The innovation here is to bring the technique to the outside, on a mobile vector, and by developing a digital processing of sharp images. Digital innovation is located on: — the drone: semi-automatic guidance for semi-autonomous flight — image processing: fault detection in a continuous video image stream — automatic fault detection on image: image recognition (English)
18 November 2021
0 references
Identifiers
CA0021018
0 references