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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in the academic community. We look forward to seeing you there!
PO268: DRONEOL - How maritime UAV solutions can allow for autonomous offshore wind turbine blade inspections.
Antoine Tournet, CEO, DIODON
Abstract
The exploitation of an offshore wind turbine farm requires that all installations be adapted to the complexity of the maritime conditions. Because of the difficulties of transport, delivery and availability of the offshore environment, regular inspections of the wind turbine blades must be planned to monitor precisely blades integrity and anticipate in-situ repairing needs prior any further degradations. In order to standardize these inspection missions, it is interesting to consider a UAV (Unmanned Aerial Vehicle) adapted to the operational environment of the offshore wind turbines. It must meet the challenges of the five phases of these missions: integration on vessels, deployment at sea, inspection of the blades, data processing, and its own MRO (Maintenance, Repair and Operations). To address the challenges of these different phases, a dedicated and autonomous drone solution is needed. It should allow a better operational risk management than conventional solutions currently in use and designed for land-based operations: they do not natively integrate the singularity of operations in a maritime environment, whether in terms of watertightness levels, resistance to tampering, inspection payloads adapted to the maritime environment, or launch and recovery from moving vessels. Faced with harsh conditions of the marine environment and the limited manpower on offshore vessels, a maritime and autonomous system, including the drone, its integration on the service operation vessel (SOV) and its data processing algorithm should be the solution to bring greater precision, better consistency, more flexibility and to reduce the cost of the inspection operation of offshore wind turbine blades.