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September 23, 2025Micromachines2 citationsOpen Access

Safety Monitoring Method for Pipeline Crossing the Mining Area Based on Vibration–Strain Fusion Analysis

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JHJianping HeTQTingting QinZZZhe Zhang

Key Points

  • The integrated analysis of vibration and strain data enables precise identification of pipeline deformations and risks in mining areas.
  • Experimental results show that FBG sensor arrays can detect maximum strain with direction angle errors under 5.2%, enhancing monitoring accuracy.
  • Utilization of fiber-optic sensors, including FBG and Brillouin technology, optimizes pipeline safety monitoring methods in uneven terrains.
  • This analysis establishes a robust framework for pipeline safety, addressing risks posed by rock layer collapses in mining environments.

Abstract

The overlying rock layers in a mining area may collapse or settle, subjecting pipelines to uneven forces that can lead to deformation or even fracture. This paper proposes a pipeline safety monitoring method that combines fiberoptic vibration and strain sensing to detect vibrations and deformations caused by rock layer collapse in mining zones. First, pipeline deformation monitoring under unknown force directions was investigated using fiber Bragg grating (FBG) sensing technology. Second, we constructed a mining area pipeline model and conducted vibration/deformation monitoring tests employing FBG sensors, distributed Brillouin strain sensing, and distributed fiberoptic vibration sensing technologies. The experimental results demonstrate that FBG sensor arrays deployed at 90-degree intervals can effectively identify the pipeline’s primary force direction and maximum strain, with direction angle errors of less than 5.2%. The integrated analysis of vibration and strain data enables accurate identification and measurement of extended vibration responses and pipeline deformations in open-air zones. This study establishes a comprehensive monitoring framework for ensuring pipeline safety in mining areas.

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Cite This Study

He et al. (2025) studied this question.

synapsesocial.com/papers/68d473a631b076d99fa6be6ehttps://doi.org/10.3390/mi16091074
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