Study on Optimization of Coal Truck Flow in Open‐Pit Mine

Bao, Haiming; Zhang, Ruixin

doi:10.1155/2020/8848140

Cited by 12 publications

(3 citation statements)

References 9 publications

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“…Patterson et al [15] constructed a unique mixed-integer linear programming problem for multi-truck scheduling and used a Tabu Search algorithm to solve it, aiming to minimize the energy consumption of trucks and excavators. Zhang et al [16], Yuan et al [17], Wang et al [18], Bastos et al [19], Zhang et al [20], and Bao et al [21] employed similar strategies to build a model. However, the optimization objectives in these formulated problems only considered fuel consumption while ignoring factors such as consumed time and output amount.…”

Section: Related Work and Motivationsmentioning

confidence: 99%

Micro-Factors-Aware Scheduling of Multiple Autonomous Trucks in Open-Pit Mining via Enhanced Metaheuristics

Fang,

Peng

2023

Electronics

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Traditional open-pit mineral transportation systems are typically subject to manual command, frequently leading to vehicular delays and traffic congestion. With the advancement of automation and electrification technologies, this study proposes a highly accurate scheduling method for multiple autonomous trucks in an open-pit mine. This model considers micro-level temporal and spatial factors to tackle the task of scheduling autonomous trucks within open-pit mines. The cost function of the concerned scheduling problem is a comprehensive evaluation of energy consumption, time, and output. Beyond the loading and unloading activities, the model also factors in the charging requirements of autonomous trucks in mining regions. The scheduling model integrates a Voronoi diagram search and optimal spatial path time matching, aiming to provide superior mission planning and decision-making solutions for autonomous trucks in mining regions. For an efficient solution to the scheduling problem, we propose an improved-evolution artificial bee colony (IE-ABC) algorithm. This algorithm improves the global search and re-initialization processes and conducts algorithm ablation experiments to closely examine their impact on optimization. Simulation results across various algorithms, cost function definition strategy, and encoding strategy show that our method can improve scheduling performance in energy consumption and time. Experimental results demonstrate that the proposed model and algorithm can effectively solve the scheduling decision-making problem in an unmanned open-pit mine.

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Section: Related Work and Motivationsmentioning

confidence: 99%

Micro-Factors-Aware Scheduling of Multiple Autonomous Trucks in Open-Pit Mining via Enhanced Metaheuristics

Fang,

Peng

2023

Electronics

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“…Several articles and studies deal with optimizing the flow of trucks [8] and efficiently allocating trucks to the shovels in operation at open-pit mines. This aim of maximize production and minimize costs is subject to operational and physical constraints.…”

Section: Introductionmentioning

confidence: 99%

Proposal of a Transport Planning Model for the Removal of Quarry Stone Using a Simulation

Saderova,

Ambrisko,

Marasova

et al. 2024

Applied Sciences

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This article describes a transport planning model which applies a simulation to support decision-making in quarry operations. The analysis of the transport system was used as input for creating the model and the subsequent research. There are five loading points in the quarry from which, according to the plan, the quarry stone is transported to the crusher, where it proceeds for further processing. The required daily capacity of the downstream technological line is 3800 t/day. Based on the analysis, it was found that it was impossible to fulfill this requirement from the two loading points which were the furthest from the unloading point. For this reason, two simulation models of the transport system were created. The first simulation model is a transport system (loading, removal and dumping of quarry stone) from one loading point. Simulation experiments were performed on this model for all loading points. The findings from the analysis confirmed the results of the simulation experiments. Subsequently, a model of the combined quarry stone removal from two loading points was proposed. The model was designed for two variants of dividing the work shift into two work sections. In the model, which had a tabular form, the combinations of loading points and values of the minimum number of unloaded cars for stone removal were suitable to ensure its necessary daily capacity. The last part of this research was expanding the original model with an additional loading point. Several experiments were performed on this model. The aim of these experiments was to verify the combinations of loading points presented in the proposed model and the combinations of unsatisfactory loading points. Based on the research results, the transport planning model and simulation models are suitable additional tools for the decision-making process in removing quarry stone.

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“…Truck transportation has outstanding advantages, such as strong environmental adaptability, as well as flexible and convenient scheduling. Therefore, it is still the most common transportation method used in open-pit mines in China, and the transportation cost of open-pit mining accounts for more than 50% of the production cost of the entire mine [1]. For this reason, strengthening the management of transportation equipment and improving the working efficiency of transportation equipment has become the key for mining enterprises to control costs.…”

Section: Introductionmentioning

confidence: 99%

Research on Comprehensive Evaluation Model of a Truck Dispatching System in Open-Pit Mine

Kou

Xie

Zeng³

et al. 2022

Sustainability

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In this paper, a comprehensive evaluation factor model of a truck dispatching system in open-pit mines is constructed from the three dimensions of optimal route, traffic flow planning, and real-time dispatching, and the final combined weight of the factor is determined according to game theory. On this basis, a comprehensive evaluation model of a truck dispatching system in open-pit mines based on gray relational analysis—technology for order preference by similarity to an ideal solution (GRA-TOPSIS) is established. Taking the truck dispatching system in five open-pit mines as the research background, the advantages and disadvantages of the dispatching system were comprehensively evaluated, and the differences between the dispatching systems were analyzed using the radar chart method. The research shows that the evaluation results of the comprehensive evaluation model of the truck dispatching system in open-pit mines based on GRA-TOPSIS are in line with the reality, which is more conducive to analyzing and comparing the advantages and disadvantages of the systems, effectively identifying the differences of various systems, and making the evaluation of truck dispatching systems more scientific. The research results of this paper broaden the evaluation of truck dispatching systems and provide a theoretical basis for the optimization of truck dispatching systems.

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Study on Optimization of Coal Truck Flow in Open‐Pit Mine

Cited by 12 publications

References 9 publications

Micro-Factors-Aware Scheduling of Multiple Autonomous Trucks in Open-Pit Mining via Enhanced Metaheuristics

Micro-Factors-Aware Scheduling of Multiple Autonomous Trucks in Open-Pit Mining via Enhanced Metaheuristics

Proposal of a Transport Planning Model for the Removal of Quarry Stone Using a Simulation

Research on Comprehensive Evaluation Model of a Truck Dispatching System in Open-Pit Mine

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