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Long-Range Wireless Communication for In-Line Inspection Robot: 2.4 km On-Site Test

Author

Listed:
  • Huseyin Ayhan Yavasoglu

    (Mechatronics Engineering, Mechanical Engineering, Yildiz Technical University, Istanbul 34349, Türkiye
    TUBITAK Rail Transport Technologies Institute, Kocaeli 41470, Türkiye)

  • Ilhami Unal

    (TUBITAK Marmara Research Center, Kocaeli 41470, Türkiye)

  • Ahmet Koksoy

    (TUBITAK Marmara Research Center, Kocaeli 41470, Türkiye)

  • Kursad Gokce

    (TUBITAK Rail Transport Technologies Institute, Kocaeli 41470, Türkiye)

  • Yusuf Engin Tetik

    (TUBITAK Rail Transport Technologies Institute, Kocaeli 41470, Türkiye)

Abstract

This paper presents a study of the feasibility of using in-line inspection (ILI) techniques with long-range communication-capable robotic systems deployed with advanced inspection sensors in natural gas distribution pipelines, which are rare in the literature. The study involved selecting appropriate antennas and determining the appropriate communication frequency for an ILI robot operating on Istanbul 12″ and 16″ steel pipelines. The paper identifies the frequency windows with low losses, presents received signal strength indicator (RSSI) and signal-to-noise ratio (SNR) information for various scenarios, and evaluates the impact of T-junctions, which are known to be the worst components in terms of communication. To utilize the pipeline as a waveguide, low-attenuation-frequency windows were determined, which improved communication by a factor of 500 compared to aerial communication. The results of laboratory tests on a 50 m pipeline and real-world tests on a 2.4 km pipeline indicate that long-distance communication and video transmission are possible at frequencies of around 917 MHz with low-gain antennas. The study also assessed the impact of the early diagnosis of anomalies without incidents on the environment, achievable with ILI robots using long-range wireless communication.

Suggested Citation

  • Huseyin Ayhan Yavasoglu & Ilhami Unal & Ahmet Koksoy & Kursad Gokce & Yusuf Engin Tetik, 2023. "Long-Range Wireless Communication for In-Line Inspection Robot: 2.4 km On-Site Test," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8134-:d:1149026
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    References listed on IDEAS

    as
    1. Liyuan Geng & Shaohua Dong & Weichao Qian & Donghua Peng, 2022. "Image Classification Method Based on Improved Deep Convolutional Neural Networks for the Magnetic Flux Leakage (MFL) Signal of Girth Welds in Long-Distance Pipelines," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    2. Meng Zhang & Jiatong Ling & Buyun Tang & Shaohua Dong & Laibin Zhang, 2022. "A Data-Driven Based Method for Pipeline Additional Stress Prediction Subject to Landslide Geohazards," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    3. David A. Anderson, 2020. "Natural Gas Transmission Pipelines: Risks and Remedies for Host Communities," Energies, MDPI, vol. 13(8), pages 1-10, April.
    4. Xiangyang Zhang & Nan Zhao & Fadi Al-Turjman & Muhammad Bilal Khan & Xiaodong Yang, 2020. "An Optimization of the Signal-to-Noise Ratio Distribution of an Indoor Visible Light Communication System Based on the Conventional Layout Model," Sustainability, MDPI, vol. 12(21), pages 1-16, October.
    5. Mohamed Hassan & Manwinder Singh & Khalid Hamid & Rashid Saeed & Maha Abdelhaq & Raed Alsaqour, 2022. "Design of Power Location Coefficient System for 6G Downlink Cooperative NOMA Network," Energies, MDPI, vol. 15(19), pages 1-11, September.
    6. Mathivanan Durai & Peng Chi-Chuan & Chou-Wei Lan & Ho Chang, 2022. "Analysis of Leakage in a Sustainable Water Pipeline Based on a Magnetic Flux Leakage Technique," Sustainability, MDPI, vol. 14(19), pages 1-12, September.
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