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Financement de l’UE (8 990 162 €) : Inspection aérienne autonome d’infrastructures critiques confinées et interdites par GNSS Hor24/07/2023 Programme de recherche et d'innovation de l'UE « Horizon »
Texte
Inspection aérienne autonome d’infrastructures critiques confinées et interdites par GNSS
The >50k large vessels across the world must be regularly monitored for corrosion and defects by human surveyors, including dangerous and dirty confined GNSS-denied areas such as ballast water tanks and cargo holds. One person is killed every week from accidents in these enclosed spaces, which despite having large surface areas, consist of many smaller, confined compartments with narrow passages (40cmx60cm). However, a radical new approach is possible using unmanned aerial systems (UAS or drones), by combining the latest developments in (1) collision-tolerant UAS, (2) multi-modal SLAM, (3) path planning, (4) autonomous drone racing, (5) aerial manipulation, (6) miniaturized NDT sensors, and (7) ML-based defect identification. Only through a complete integration of these technologies is it possible to address the challenges of deploying aerial robots in these challenging conditions. Equipped with automated AI-based scanning, mapping, navigation and contact-based NDT, this has the potential to completely remove the need for human inspection. Using a digital twin approach brings “superhuman” results: comprehensive semantic-aware detailed 3D mapping (1 cm resolution) of large structures (>300 m), high resolution visual and NDT analysis (100um) and improved traceability with automatically generated trend analysis. The ML for system mapping and NDT is trained with sociotechnical inputs from experienced human inspectors. Currently, a typical inspection costs >1M€ and requires 15 days (8 days inspection and 7 days travel to low cost Far Eastern docks). A UAS-based inspection will take 1 day, with 1-2 days travel to an EU port at a cost of 200k€, saving the industry >9B€ p.a. with 2.4MT of CO2 reduction. This consortium includes many of the world leaders in the field of UAS-based inspection teamed with vessel owners and inspectors, enabling an end-to-end survey solution which would save 50 lives/yr, and provide safer, more reliable, and accurate inspection data.
| Eidgenoessische Technische Hochschule Zuerich | ? |
| CMB.Tech N.V. | 205 625 € |
| Cognite AS | 408 765 € |
| Danaos Shipping Company Ltd. | 213 500 € |
| Danmarks Tekniske Universitet | 3 246 440 € |
| DNV AS | 421 750 € |
| F6S Network Ireland Ltd. | 233 363 € |
| Fayard AS | 124 250 € |
| Glafcos Marine ΕΠΕ | 298 375 € |
| Klaveness Finans AS | 133 172 € |
| Klaveness Ship Management AS | 9 624,64 € |
| Norges Teknisk-Naturvitenskapelige Universitet Ntnu | 1 156 923 € |
| Scoutdi AS | 450 625 € |
| Technische Universitaet Muenchen | 1 096 500 € |
| Universiteit Twente | 991 250 € |
https://cordis.europa.eu/project/id/101120732
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Eidgenössische Technische Hochschule Zürich Public Corporation, Zürich ETH-Zentrum, Suisse.
