Mine fleet management algorithms can significantly reduce operational costs and enhance productivity in mining systems. Most current fleet management algorithms are evaluated based on self-implemented or proprietary simulation environments, posing challenges for replication and comparison. This paper models the simulation environment for mine fleet management from a complex systems perspective. Building upon previous work, we introduce probabilistic, user-defined events for random event simulation and implement various evaluation metrics and baselines, effectively reflecting the robustness of fleet management algorithms against unforeseen incidents. We present "OpenMines", an open-source framework encompassing the entire process of mine system modeling, algorithm development, and evaluation, facilitating future algorithm comparison and replication in the field. Code is available at https://github.com/370025263/openmines.


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    Titel :

    OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching


    Beteiligte:
    Meng, Shi (Autor:in) / Tian, Bin (Autor:in) / Zhang, Xiaotong (Autor:in) / Qi, Shuangying (Autor:in) / Zhang, Caiji (Autor:in) / Zhang, Qiang (Autor:in)


    Erscheinungsdatum :

    02.06.2024


    Format / Umfang :

    1521513 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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