Open-Pit Mining Operational Planning using Multi Agent Systems

被引：5
作者：
Cohen, Miri Weiss [1 ]
Coelho, Vitor Nazario [2 ]
机构：
[1] Braude Coll Engn, Karmiel, Israel
[2] OptBlocks, Belo Horizonte, MG, Brazil
来源：
KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021) | 2021年 / 192卷
关键词：
Open Pit Mines; Multi Agent System; scheduling; task allocation; OPTIMIZATION; ALGORITHM;
D O I：
10.1016/j.procs.2021.08.172
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The open-pit mining operational planning problem (OPMOP) is approached by applying Multi-Agent Systems (MAS) to optimize task distribution and find the most efficient paths simultaneously. Several agents are being investigated, including several trucks with different capabilities and operating costs, as well as shovels with differing production rates and compatibility. As open pit mines have a wide range of materials, shovels are assigned to them based on their characteristics. In addition, autonomous agents must be evaluated and optimized to use minimal resources while adhering to constraints. Simulations were done to assess how the system compares to human experience by using the IoT and online data to create a successful final schedule and plan. (C) 2021 The Authors. Published by Elsevier B.V.
引用
收藏
页码：1677 / 1686
页数：10
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