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An Automatic Procedure for Overheated Idler Detection in Belt Conveyors Using Fusion of Infrared and RGB Images Acquired during UGV Robot Inspection

Author

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  • Przemyslaw Dabek

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-370 Wroclaw, Poland)

  • Jaroslaw Szrek

    (Department of Fundamentals of Machine Design and Mechatronic Systems, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Radoslaw Zimroz

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-370 Wroclaw, Poland)

  • Jacek Wodecki

    (Department of Mining, Faculty of Geoengineering, Mining and Geology, Wrocław University of Science and Technology, 50-370 Wroclaw, Poland)

Abstract

Complex mechanical systems used in the mining industry for efficient raw materials extraction require proper maintenance. Especially in a deep underground mine, the regular inspection of machines operating in extremely harsh conditions is challenging, thus, monitoring systems and autonomous inspection robots are becoming more and more popular. In the paper, it is proposed to use a mobile unmanned ground vehicle (UGV) platform equipped with various data acquisition systems for supporting inspection procedures. Although maintenance staff with appropriate experience are able to identify problems almost immediately, due to mentioned harsh conditions such as temperature, humidity, poisonous gas risk, etc., their presence in dangerous areas is limited. Thus, it is recommended to use inspection robots collecting data and appropriate algorithms for their processing. In this paper, the authors propose red-green-blue (RGB) and infrared (IR) image fusion to detect overheated idlers. An original procedure for image processing is proposed, that exploits some characteristic features of conveyors to pre-process the RGB image to minimize non-informative components in the pictures collected by the robot. Then, the authors use this result for IR image processing to improve SNR and finally detect hot spots in IR image. The experiments have been performed on real conveyors operating in industrial conditions.

Suggested Citation

  • Przemyslaw Dabek & Jaroslaw Szrek & Radoslaw Zimroz & Jacek Wodecki, 2022. "An Automatic Procedure for Overheated Idler Detection in Belt Conveyors Using Fusion of Infrared and RGB Images Acquired during UGV Robot Inspection," Energies, MDPI, vol. 15(2), pages 1-20, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:2:p:601-:d:725264
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    References listed on IDEAS

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    1. Yi Liu & Changyun Miao & Xianguo Li & Guowei Xu & Hang Su, 2021. "Research on Deviation Detection of Belt Conveyor Based on Inspection Robot and Deep Learning," Complexity, Hindawi, vol. 2021, pages 1-15, February.
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    Citations

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    Cited by:

    1. Piotr Bortnowski & Horst Gondek & Robert Król & Daniela Marasova & Maksymilian Ozdoba, 2023. "Detection of Blockages of the Belt Conveyor Transfer Point Using an RGB Camera and CNN Autoencoder," Energies, MDPI, vol. 16(4), pages 1-18, February.
    2. Karol Semrád & Katarína Draganová, 2022. "Non-Destructive Testing of Pipe Conveyor Belts Using Glass-Coated Magnetic Microwires," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    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. Paweł Bogacz & Łukasz Cieślik & Dawid Osowski & Paweł Kochaj, 2022. "Analysis of the Scope for Reducing the Level of Energy Consumption of Crew Transport in an Underground Mining Plant Using a Conveyor Belt System Mining Plant," Energies, MDPI, vol. 15(20), pages 1-16, October.
    6. Mohammad Siami & Tomasz Barszcz & Jacek Wodecki & Radoslaw Zimroz, 2022. "Design of an Infrared Image Processing Pipeline for Robotic Inspection of Conveyor Systems in Opencast Mining Sites," Energies, MDPI, vol. 15(18), pages 1-21, September.
    7. Mirosław Bajda & Monika Hardygóra & Daniela Marasová, 2022. "Energy Efficiency of Conveyor Belts in Raw Materials Industry," Energies, MDPI, vol. 15(9), pages 1-6, April.

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