Digital Twin Architecture for Mining Industry: Case Study of a Stacker Machine in an Experimental Open-Pit Mine

Nabil Elbazi, Mustapha Mabrouki, Ahmed Chebak, FatimaEzzahrae Hammouch
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引用次数: 6

Abstract

Digitalization in mining industry has become an important component nowadays in order to improve the productivity, the efficiency while increasing the availability of machines and different equipment The use of digital twin as a feature in mining industry has shown promising results to deal with its multiple challenges such as maintenance, production, energy consumption. In this paper, a comparative study is presented of developed digital twins in different applications such as energy management, manufacturing, industrial and campus, the goal is to design a conceptual architecture of a proposed digital twin within presenting a case study of a stacker machine in the experimental open pit mine of Benguerir. This design presented by 4 layers: physical, Data pre-processing, Edge computing, and cloud data, the goal is to work on interactions between these layers to enhance the performance of different mining machines. The case study elucidates a practical result on Stacker machine used in mining industry simulating the mechanism and the automatism of this system. This developed digital twin will be used to simulate critical scenarios and see the behavior of the stacker components in order to optimize the usage of this machine increasing its availability and reliability.
面向采矿业的数字孪生体系结构——以某实验露天矿堆垛机为例
为了提高采矿业的生产力、效率,同时增加机器和不同设备的可用性,数字化已成为当今采矿业的重要组成部分,数字孪生作为采矿业的一个特征,在应对其维护、生产、能源消耗等多重挑战方面显示出良好的效果。本文对已开发的数字孪生体在能源管理、制造、工业和校园等不同应用中的应用进行了比较研究,目的是设计一个拟议的数字孪生体的概念架构,并以Benguerir实验露天矿中的堆高机为例进行了研究。该设计由物理层、数据预处理层、边缘计算层和云数据层组成,目标是研究这些层之间的交互,以提高不同矿机的性能。通过对矿山堆垛机的实例研究,对该系统的机理和自动化程度进行了仿真。该开发的数字孪生将用于模拟关键场景,并查看堆叠组件的行为,以优化该机器的使用,提高其可用性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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