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Leak Detection and Localization in Multi-Grid Space Using Improved Gaussian Plume Model.

Daquan Li1, Gaigai Liu2, Zhaoyong Mao1

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Summary
This summary is machine-generated.

This study introduces a new gas diffusion model for detecting and locating leaks in complex, multi-grid spaces. The method accurately identifies leak sources using gas concentration gradients, crucial for safety and resource conservation.

Keywords:
concentration gradientgas diffusion modelgaussian plume modelleak detection and localization technologymulti-grid space

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Area of Science:

  • Environmental Engineering
  • Chemical Engineering
  • Sensor Technology

Background:

  • Effective leak detection and localization are vital for preventing hazards and conserving resources.
  • Existing methods are often limited to conventional pipelines and open environments, lacking applicability in complex multi-grid spaces.
  • The need for advanced leak detection strategies in intricate industrial and environmental settings is growing.

Purpose of the Study:

  • To develop and validate a novel gas diffusion model for leak detection and localization in multi-grid environments.
  • To propose a method utilizing characteristic gas concentration gradients for precise leak source identification.
  • To provide a foundational reference for future research on volatile substance leak detection in complex spaces.

Main Methods:

  • Construction of a gas diffusion model specifically adapted for multi-grid spatial configurations.
  • Selection and adaptation of the Gaussian plume model for its simplicity and realistic representation of gas diffusion.
  • Experimental validation using coolant leakage in a circuit system, with repeated trials under varying source strengths.

Main Results:

  • The developed model demonstrated a strong correlation with real-world plume behavior, evidenced by high fitting correlation coefficients (0.995, 0.997, 0.997).
  • The gas concentration gradient method proved effective and reasonable for localizing leak sources within the experimental setup.
  • Experimental data confirmed the model's accuracy and the proposed method's applicability in a simulated complex environment.

Conclusions:

  • The proposed gas diffusion model and concentration gradient-based localization method are effective for multi-grid spaces.
  • The study validates the use of gas concentration gradients as a reliable indicator for leak source pinpointing.
  • This research offers a significant advancement for leak detection in complex environments containing volatile substances.