IoT platforms for the Mining Industry: An Overview

Authors

  • Paulina GACKOWIEC Author
  • Marta PODOBIŃSKA-STANIEC Author

DOI:

https://doi.org/10.29227/IM-2019-01-47

Keywords:

Industrial Internet of Things, analytics platforms, mining, data analysis

Abstract

Industry 4.0 and the Internet of Things are now very common concepts as solutions that can revolutionize the industry. Constant technological progress increases the possibilities of using computer tools and solutions to support processes in industry and production optimization. The use of the Internet of Things is particularly important in complex processes in mining, enabling the extraction of valuable information from data. The integration of physical facilities in the enterprise enables the digitization of production processes and the increase of efficiency and security. This article presents an overview of the selected internet of things platforms and analytical tools that can be used in industry, with particular emphasis on the mining sector. It is pointed out, that the number of suppliers of IoT technologies and analytical tools offering advanced data analytics services for industry is significant and constantly evolving. The aim of the article is to evaluate selected IoT solutions based on the following criteria: offering predictive analytics, implemented artificial intelligence (AI) or machine learning (ML) algorithms, a mining-oriented process approach, advanced data visualization, interoperability, real-time data capture, remote device management and cloud-based technology. The review was prepared to provide knowledge about IoT vendors operating on the market, as well as to indicate the functionalities that are the most popular among solutions.

Author Biographies

  • Paulina GACKOWIEC

    MSc, Eng.; AGH University of Science and Technology, Cracow, Poland

  • Marta PODOBIŃSKA-STANIEC

    PhD, Eng.; AGH University of Science and Technology, Cracow, Poland

Published

2019-06-30

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