Emerging unmanned aerial vehicle (UAV) or drone technology has brought a great potential to oil and gas industry in which drones can be used for providing aerial plant and facility inspection services. With practical constraints such as a limitation on the number of drones, task allocation is required to address servicing important missions, i.e., delivering aerial data to a con- trol center, with a deadline. The literature on task allocation and data delivery has been studied either deterministic problems, i.e., information is completely known, or separate problems dealing with uncertainties. However, missions to be completed and data to be delivered are dependently uncertain because of emergencies in reality. The uncertainties in task allocation and data delivery need to be considered. Therefore, we formulate a stochastic optimization model to optimize the allocation of drones and aerial data delivery under uncertainties to minimize operating costs. To address a probability of deadline violation, we reformulate the problem as a cardinality formulation. Furthermore, we conduct the performance evaluation by using Solomon datasets and real oil and gas industry sites.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Joint Task Allocation and Data Delivery Framework for Unmanned Aerial Vehicles in Aerial Plant Inspection


    Beteiligte:


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    1455654 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Task Allocation of Swarm Unmanned Aerial Vehicles: A Survey

    Zhou, Yimin / Qin, Tao | Springer Verlag | 2025


    Task allocation of aerial vehicles

    GUPTA MANISH / KAPU VEERA RAGHAVA REDDY / SINGH HAMENDER et al. | Europäisches Patentamt | 2021

    Freier Zugriff

    TASK ALLOCATION OF AERIAL VEHICLES

    GUPTA MANISH / KAPU VEERA RAGHAVA REDDY / SINGH HAMENDER et al. | Europäisches Patentamt | 2020

    Freier Zugriff

    Cluster-Based Hungarian Approach to Task Allocation for Unmanned Aerial Vehicles

    Samiei, Arezoo / Ismail, Sarah / Sun, Liang | IEEE | 2019


    Enhanced unmanned aerial vehicles for damage inspection

    MARLOW CLINT J / CORDER BRYAN KEITH | Europäisches Patentamt | 2018

    Freier Zugriff