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Leakage Detection Method in Water Pipe using Tree-based Boosting Algorithm

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2024, 10(2), pp.17-23
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 4, 2024
  • Accepted : March 29, 2024
  • Published : April 30, 2024

Jae-Heung Lee 1 Yun-Sung Oh 1 Jun-Hyeok Min 1

1한밭대학교

Accredited

ABSTRACT

Losses in domestic water supply due to leaks are very large, such as fractures and defects in pipelines. Therefore, preventive measures to prevent water leakage are necessary. We propose the development of a leakage detection sensor utilizing vibration sensors and present an optimal leakage detection algorithm leveraging artificial intelligence. Vibrational sound data acquired from water pipelines undergo a preprocessing stage using FFT (Fast Fourier Transform), followed by leakage classification using an optimized tree-based boosting algorithm. Applying this method to approximately 260,000 experimental data points from various real-world scenarios resulted in a 97% accuracy, a 4% improvement over existing SVM(Support Vector Machine) methods. The processing speed also increased approximately 80 times, confirming its suitability for edge device applications.

Citation status

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