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AnyPit: A Lightweight and Extensible Simulation Platform for Real-Time Mining Truck Dispatching

  • Nanfeng Song
  • , Yongqin Liu
  • , Lei Wang*
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Truck dispatching plays a significant role in cost and production efficiency in open-pit mining systems. However, existing simulation models suffer from proprietary software ecosystem and insufficient modeling accuracy, hindering the design and comparison of dispatching algorithms. To address these issues, this paper develops Anypit, a lightweight and extensible simulation platform. The platform incorporates planar graph road network and a hybrid discrete-continuous event processing framework, enhancing the modeling granularity of operational processes. A dual threading mechanism decouples the dispatching computations from evolution of the environment. Furthermore, a series of compatibility mechanisms facilitate integration and unified comparison of different algorithms. Policy baselines tests demonstrate that the platform can model the complete lifecycle of mining trucks with high granularity and effectively evaluate the performance of various algorithms.

源语言英语
主期刊名2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9798331524036
DOI
出版状态已出版 - 2025
活动20th IEEE Conference on Industrial Electronics and Applications, ICIEA 2025 - Yantai, 中国
期限: 3 8月 20256 8月 2025

出版系列

姓名2025 IEEE 20th Conference on Industrial Electronics and Applications, ICIEA 2025

会议

会议20th IEEE Conference on Industrial Electronics and Applications, ICIEA 2025
国家/地区中国
Yantai
时期3/08/256/08/25

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