OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | |
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| _version_ | 1866917627046133760 |
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| author | Meng, Shi Tian, Bin Zhang, Xiaotong Qi, Shuangying Zhang, Caiji Zhang, Qiang |
| author_facet | Meng, Shi Tian, Bin Zhang, Xiaotong Qi, Shuangying Zhang, Caiji Zhang, Qiang |
| contents | 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 in https://github.com/370025263/openmines. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_00622 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching Meng, Shi Tian, Bin Zhang, Xiaotong Qi, Shuangying Zhang, Caiji Zhang, Qiang Multiagent Systems Systems and Control 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 in https://github.com/370025263/openmines. |
| title | OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching |
| topic | Multiagent Systems Systems and Control |
| url | https://arxiv.org/abs/2404.00622 |