A multi-level IIOT platform for boosting mines digitalization

IF 6.2 2区计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Future Generation Computer Systems-The International Journal of Escience Pub Date : 2024-08-27 DOI:10.1016/j.future.2024.107501

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Abstract

This paper presents an innovative IIoT multi-level platform tailored to address the specific needs of the mining domain. The platform has been conceptualized and built in the context of the illuMINEation European project. For this purpose, mining specific use cases have been designed such as promoting underground safe areas, performing efficient mining operations or boosting predictive maintenance approaches. Then, specific requirements have been identified and, as a result, the platform has been developed. It consists of four-level layered platform: (1) edge devices layer to manage several sensors deployed in the mines; (2) edge box layer to provide in-mine operations such as filtering, streaming and processing; (3) fog layer which offers an overall perspective of each mine; and (4) cloud layer to centralize the data of all the mines and to provide powerful processing capabilities. In addition, the platform is robustly secured in terms of protecting communications confidentiality and access control and also provides a toolbox aimed at manipulating 3D complex images to obtain operable mine-domain novel user interfaces. Finally, a platform validation is proposed where three different use cases are explained to better show and demonstrate the capabilities of the platform.

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促进矿山数字化的多层次 IIOT 平台

本文介绍了一个创新的物联网多层次平台，该平台专为满足采矿领域的特殊需求而量身定制。该平台是在 illuMINEation 欧洲项目的背景下构思和构建的。为此，设计了采矿业的特定用例，如促进地下安全区域、执行高效采矿作业或促进预测性维护方法。然后，确定了具体要求，并由此开发了该平台。它由四层平台组成：(1) 边缘设备层，用于管理部署在矿井中的多个传感器；(2) 边缘盒层，提供矿井内操作，如过滤、流媒体和处理；(3) 雾层，提供每个矿井的整体视角；(4) 云层，集中所有矿井的数据，并提供强大的处理能力。此外，该平台在保护通信保密性和访问控制方面具有强大的安全性，还提供了一个工具箱，旨在处理三维复杂图像，以获得可操作的矿区新用户界面。最后，提出了一个平台验证方案，对三个不同的使用案例进行了说明，以更好地展示和证明该平台的能力。

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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来源期刊

Future Generation Computer Systems-The International Journal of Escience 工程技术-计算机：理论方法

CiteScore

19.90

自引率

2.70%

发文量

376

审稿时长

10.6 months

期刊介绍： Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.