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Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal

Author

Listed:
  • Paweł Zimroz

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-421 Wroclaw, Poland)

  • Paweł Trybała

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-421 Wroclaw, Poland)

  • Adam Wróblewski

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-421 Wroclaw, Poland)

  • Mateusz Góralczyk

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-421 Wroclaw, Poland)

  • Jarosław Szrek

    (Department of Fundamentals of Machine Design and Mechatronic Systems, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-371 Wroclaw, Poland)

  • Agnieszka Wójcik

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-421 Wroclaw, Poland)

  • Radosław Zimroz

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-421 Wroclaw, Poland)

Abstract

The possibility of the application of an unmanned aerial vehicle (UAV) in search and rescue activities in a deep underground mine has been investigated. In the presented case study, a UAV is searching for a lost or injured human who is able to call for help but is not able to move or use any communication device. A UAV capturing acoustic data while flying through underground corridors is used. The acoustic signal is very noisy since during the flight the UAV contributes high-energetic emission. The main goal of the paper is to present an automatic signal processing procedure for detection of a specific sound (supposed to contain voice activity) in presence of heavy, time-varying noise from UAV. The proposed acoustic signal processing technique is based on time-frequency representation and Euclidean distance measurement between reference spectrum (UAV noise only) and captured data. As both the UAV and “injured” person were equipped with synchronized microphones during the experiment, validation has been performed. Two experiments carried out in lab conditions, as well as one in an underground mine, provided very satisfactory results.

Suggested Citation

  • Paweł Zimroz & Paweł Trybała & Adam Wróblewski & Mateusz Góralczyk & Jarosław Szrek & Agnieszka Wójcik & Radosław Zimroz, 2021. "Application of UAV in Search and Rescue Actions in Underground Mine—A Specific Sound Detection in Noisy Acoustic Signal," Energies, MDPI, vol. 14(13), pages 1-21, June.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:13:p:3725-:d:579478
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    References listed on IDEAS

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    1. Bartłomiej Ziętek & Aleksandra Banasiewicz & Radosław Zimroz & Jarosław Szrek & Sebastian Gola, 2020. "A Portable Environmental Data-Monitoring System for Air Hazard Evaluation in Deep Underground Mines," Energies, MDPI, vol. 13(23), pages 1-18, November.
    2. Magdalena Tutak & Jarosław Brodny & Dawid Szurgacz & Leszek Sobik & Sergey Zhironkin, 2020. "The Impact of the Ventilation System on the Methane Release Hazard and Spontaneous Combustion of Coal in the Area of Exploitation—A Case Study," Energies, MDPI, vol. 13(18), pages 1-31, September.
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    Cited by:

    1. Adam Wróblewski & Jacek Wodecki & Paweł Trybała & Radosław Zimroz, 2022. "A Method for Large Underground Structures Geometry Evaluation Based on Multivariate Parameterization and Multidimensional Analysis of Point Cloud Data," Energies, MDPI, vol. 15(17), pages 1-20, August.
    2. Dawid Szurgacz & Sergey Zhironkin & Jiří Pokorný & A. J. S. (Sam) Spearing & Stefan Vöth & Michal Cehlár & Izabela Kowalewska, 2021. "Development of an Active Training Method for Belt Conveyor," IJERPH, MDPI, vol. 19(1), pages 1-12, December.
    3. Sergey Zhironkin & Dawid Szurgacz, 2022. "Mining Technologies Innovative Development: Industrial, Environmental and Economic Perspectives," Energies, MDPI, vol. 15(5), pages 1-5, February.
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