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Underground Mine Tunnel Modelling Using Laser Scan Data in Relation to Manual Geometry Measurements

Author

Listed:
  • Jakub Janus

    (Strata Mechanics Research Institute of the Polish Sciences Academy, Reymonta 27, 30-059 Krakow, Poland)

  • Piotr Ostrogórski

    (Strata Mechanics Research Institute of the Polish Sciences Academy, Reymonta 27, 30-059 Krakow, Poland)

Abstract

Underground mine tunnels, drifts, and mine headings are susceptible to the impact of convergence. The convergence has a big influence on further measurements such as airflow and the volume concentration of methane and other gases. In most cases, deformation of arch supports lead to getting a smaller cross-section area. A comparison is made between five methods of measuring the cross-sectional area of a mine tunnel. The reference size of the six cross-section mine drift areas were obtained by Terrestrial Laser Scanning, which were then compared with the cross-section areas obtained by four other methods. The following methods were considered: area calculation using CAD software, an empirical method, approximation by a semi-ellipse and approximation by a semi-ellipse with attached straight sections. This article presents the quantitative and qualitative differences of the obtained results. Differences in the calculated cross-sectional areas of the mine drift are discussed, and reasons for the differences are determined. In addition, the advantages and disadvantages of each method are indicated.

Suggested Citation

  • Jakub Janus & Piotr Ostrogórski, 2022. "Underground Mine Tunnel Modelling Using Laser Scan Data in Relation to Manual Geometry Measurements," Energies, MDPI, vol. 15(7), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:7:p:2537-:d:783386
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    References listed on IDEAS

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    1. Paula Helming & Axel von Freyberg & Michael Sorg & Andreas Fischer, 2021. "Wind Turbine Tower Deformation Measurement Using Terrestrial Laser Scanning on a 3.4 MW Wind Turbine," Energies, MDPI, vol. 14(11), pages 1-14, June.
    2. Jakub Janus & Jerzy Krawczyk, 2021. "Measurement and Simulation of Flow in a Section of a Mine Gallery," Energies, MDPI, vol. 14(16), pages 1-15, August.
    3. Magdalena Rozmus & Jarosław Tokarczyk & Dariusz Michalak & Marek Dudek & Kamil Szewerda & Marek Rotkegel & Aleš Lamot & Janez Rošer, 2021. "Application of 3D Scanning, Computer Simulations and Virtual Reality in the Redesigning Process of Selected Areas of Underground Transportation Routes in Coal Mining Industry," Energies, MDPI, vol. 14(9), pages 1-21, May.
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    Cited by:

    1. Yongfeng Li & Pingan Peng & Huan Li & Jinghua Xie & Liangbin Liu & Jing Xiao, 2023. "Drilling Path Planning of Rock-Drilling Jumbo Using a Vehicle-Mounted 3D Scanner," Sustainability, MDPI, vol. 15(12), pages 1-19, June.
    2. Krzysztof Fuławka & Lech Stolecki & Marcin Szumny & Witold Pytel & Izabela Jaśkiewicz-Proć & Michel Jakić & Michael Nöger & Philipp Hartlieb, 2022. "Roof Fall Hazard Monitoring and Evaluation—State-of-the-Art Review," Energies, MDPI, vol. 15(21), pages 1-23, November.
    3. Sergey Zhironkin & Elena Dotsenko, 2023. "Review of Transition from Mining 4.0 to 5.0 in Fossil Energy Sources Production," Energies, MDPI, vol. 16(15), pages 1-35, August.
    4. Olga Zhironkina & Sergey Zhironkin, 2023. "Technological and Intellectual Transition to Mining 4.0: A Review," Energies, MDPI, vol. 16(3), pages 1-37, February.
    5. Sergey Zhironkin & Dawid Szurgacz, 2023. "Mining Technologies Innovative Development II: The Overview," Energies, MDPI, vol. 16(15), pages 1-5, July.

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