The deployment of offshore wind turbines (WTs) has emerged as a pivotal strategy in the transition to renewable energy, offering significant potential for clean electricity generation. However, these structures’ operation and maintenance (O&M) present unique challenges due to their remote locations and harsh marine environments. For these reasons, it is fundamental to promote the development of autonomous solutions to monitor the health condition of the construction parts, preventing structural damage and accidents. This paper explores the application of Unmanned Aerial Vehicles (UAVs) in the inspection and maintenance of offshore wind turbines, introducing a new strategy for autonomous wind turbine inspection and a simulation environment for testing and training autonomous inspection techniques under a more realistic offshore scenario. Instead of relying on visual information to detect the WT parts during the inspection, this method proposes a three-dimensional (3D) light detection and ranging (LiDAR) method that estimates the wind turbine pose (position, orientation, and blade configuration) and autonomously controls the UAV for a close inspection maneuver. The first tests were carried out mainly in a simulation framework, combining different WT poses, including different orientations, blade positions, and wind turbine movements, and finally, a mixed reality test, where a real vehicle performed a full inspection of a virtual wind turbine.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    LiDAR-Based Unmanned Aerial Vehicle Offshore Wind Blade Inspection and Modeling


    Beteiligte:
    Alexandre Oliveira (Autor:in) / André Dias (Autor:in) / Tiago Santos (Autor:in) / Paulo Rodrigues (Autor:in) / Alfredo Martins (Autor:in) / José Almeida (Autor:in)


    Erscheinungsdatum :

    2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Unmanned aerial vehicle for wind power blade inspection

    ZHAO XIA / TIAN HONGZHE / WANG YABIN et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Offshore inspection unmanned aerial vehicle

    FU WANG'AN / LAO WENXIN / ZHANG XIAOHUI et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Unmanned aerial vehicle for wind power blade damage inspection

    HUANG CHENXI / XU ZHAOMEI | Europäisches Patentamt | 2023

    Freier Zugriff

    Unmanned aerial vehicle wind power inspection method and unmanned aerial vehicle

    CHENG XIN / LIU ZHUOBIN / NIU MENG et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    Unmanned aerial vehicle device for offshore wind field

    ZHU RONGHUA / YU MENGYI / LIU HANQIU et al. | Europäisches Patentamt | 2025

    Freier Zugriff