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Road-Quality Classification and Motion Tracking with Inertial Sensors in the Deep Underground Mine

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Intelligent Information and Database Systems (ACIIDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1178))

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Abstract

For many years now the mining industry has seen boost in exploring and developing the systems for monitoring operational parameters of mining machines, in particular of load-haul-dumping machines. Therefore, further researches on algorithmics have also advanced dynamically regarding effective performance management as well as predictive maintenance. Nonetheless, the issue of road conditions is still being neglected. That issue has substantial impact on both the overall operator’s convenience, their performance and machinery reliability, especially its construction node and tyres damages. Moreover, such negligence pertains also to the maintenance of mine infrastructure, including the network of passages. The paper explains the use of the portable inertial measurement unit (IMU) in evaluating road conditions in the deep underground mine. The detailed descriptions of the road quality classification procedure and bump detection have been included. The paper outlines the basic method of tracking motion trajectory of vehicles and suggests the method of visualisation the results of the road conditions evaluation. This paper covers the sample results collected by the measurements unit in the deep underground mine.

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Acknowledgment

This work is supported by EIT RawMaterials GmbH under Framework Partnership Agreement No. 17031 (MaMMa-Maintained Mine & Machine).

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Authors and Affiliations

  1. KGHM Cuprum Research and Development Centre, Wroclaw, Poland

    Pawel Stefaniak, Dawid Gawelski & Sergii Anufriiev

  2. KGHM Polska Miedz SA, Lubin, Poland

    Sergii Anufriiev & Paweł Śliwiński

Authors
  1. Pawel Stefaniak
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  2. Dawid Gawelski
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  3. Sergii Anufriiev
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  4. Paweł Śliwiński
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Corresponding author

Correspondence to Pawel Stefaniak .

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Editors and Affiliations

  1. Kielce University of Technology, Kielce, Poland

    Paweł Sitek

  2. Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Pietranik

  3. Wrocław University of Science and Technology, Wrocław, Poland

    Marek Krótkiewicz

  4. King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

    Chutimet Srinilta

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Stefaniak, P., Gawelski, D., Anufriiev, S., Śliwiński, P. (2020). Road-Quality Classification and Motion Tracking with Inertial Sensors in the Deep Underground Mine. In: Sitek, P., Pietranik, M., Krótkiewicz, M., Srinilta, C. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Communications in Computer and Information Science, vol 1178. Springer, Singapore. https://doi.org/10.1007/978-981-15-3380-8_15

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  • DOI: https://doi.org/10.1007/978-981-15-3380-8_15

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  • Print ISBN: 978-981-15-3379-2

  • Online ISBN: 978-981-15-3380-8

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