Distributed fiber-optic sensing for mining-induced abutment pressure measurement: Sensor design and experiment study

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-05-13 DOI:10.1016/j.measurement.2025.117839

Jinghao Zhang , Qiang Yuan , Deyi Jiang , Yiwei Ren , Fengqi Qiu , Dingding Zhang , Yi Cui

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引用次数: 0

Abstract

Monitoring stress changes in mining areas during mining activities is essential for early warning and prevention of dynamic disasters. This paper presents a distributed fiber-optic abutment pressure sensor (DFAPS) based on the Brillouin distributed fiber sensing principle. The performance of the DFAPS was evaluated through theoretical analysis, laboratory experiments, and numerical simulations. The results confirm a strong linear relationship between the strain of the DFAPS and applied pressure, with an optimal sensitivity coefficient of 48.23 με/kPa. The DFAPS was utilized in the physical model test for measuring the distribution of stope abutment pressure in the mining area. The test results demonstrate high consistency between the abutment pressure distribution patterns reflected by DFAPS and resistance pressure sensor, with a relative error of less than 4.65 %. The proposed DFAPS offers large-scale distributed measurement, high precision, and high sensitivity, which provides a novel approach for abutment stress monitoring in mining environments.

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分布式光纤传感采动基台压力测量：传感器设计与实验研究

监测矿区开采过程中的应力变化对动态灾害的预警和预防至关重要。提出了一种基于布里渊分布式光纤传感原理的分布式光纤基台压力传感器（DFAPS）。通过理论分析、实验室实验和数值模拟对DFAPS的性能进行了评价。结果表明，DFAPS的应变与外加压力之间存在较强的线性关系，最优灵敏度系数为48.23 με/kPa。利用DFAPS进行了矿区采场支承压力分布的物理模型试验。试验结果表明，DFAPS反映的基台压力分布模式与电阻压力传感器反映的基台压力分布模式具有较高的一致性，相对误差小于4.65%。该方法具有大规模分布式测量、高精度、高灵敏度等特点，为矿山环境下的支承应力监测提供了一种新的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.