• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

立井井壁变形多模式联合监测系统的研究与应用

Research and Application of Multi-Mode Joint Monitoring System for Shaft Wall Deformation.

作者信息

Fang Xinqiu, Zhang Fan, Shi Zongshen, Liang Minfu, Song Yang

机构信息

School of Mines, China University of Mining and Technology, Xuzhou 221116, China.

Research Center of Intelligent Mining, China University of Mining and Technology, Xuzhou 221116, China.

出版信息

Sensors (Basel). 2022 Aug 30;22(17):6551. doi: 10.3390/s22176551.

DOI:10.3390/s22176551
PMID:36081010
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9460250/
Abstract

The mine shaft is an important channel linking the underground with the surface, undertaking important functions such as personnel and material transportation and ventilation. Thus the shaft, known as the throat of the mine, is the production hub of the whole mine. Since 1980, damage to coal mine shafts has occurred in many areas of China, which has seriously impacted the safety of mine production. Therefore, real-time monitoring of the shaft wall condition is necessary. However, the traditional monitoring method cannot achieve long-term, continuous and stable monitoring of the shaft wall due to the harsh production environment downhole. Hence, a multi-mode joint sensing system for shaft wall deformation and damage is proposed, which is mainly based on FBG sensing and supplemented by vibrating-string sensing. The principle of FBG sensing is that when the external environment such as temperature, pressure and strain changes, the characteristics of light transmission in the FBG such as wavelength, phase and amplitude will also change accordingly. Using the linear relationship between the strain and the wavelength shift of the FBG, the strain of the measured structure is obtained by calculation. Firstly, this paper introduces the basic situations of the mine and analyzes the causes shaft damage. Then the vertical and circumferential theoretical values at different shaft depths are derived in combination with the corresponding force characteristics. Moreover, a four-layer strain transfer structure model of the shaft consisting of the fiber, the protective layer, the bonding layer and the borehole wall is established, which leads to the derivation of the strain transfer relational expression for the surface-mounted FBG sensing on the shaft wall. The strain-sensing transfer law and the factors influencing the strain-sensing transfer of the surface-mounted FBG on the shaft wall are analyzed. The order of key factors influencing the strain-sensing transfer is obtained by numerical simulation: the radius of the protective layer, the length of the FBG paste, and the elastic modulus of the adhesive layer. The packaging parameters with the best strain-sensing transfer of the surface-mounted FBG on the shaft wall are determined. A total of six horizontal level monitoring stations are arranged in a coal mine auxiliary shaft. Through the comprehensive analysis of the sensing data of the two sensors, the results show that the average shaft wall strain-transfer efficiency measured by the FBG sensor reaches 94.02%. The relative average error with the theoretical derivation of shaft wall transfer efficiency (98.6%) is 4.65%, which verifies the strain transfer effect of the surface-mounted FBG applied to the shaft wall. The shaft wall's deformation monitoring system with FBG sensing as the main and vibrating-string sensing as the supplement is important to realize the early warning of well-wall deformation and further research of the shaft wall rupture mechanism.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/1208d91d474f/sensors-22-06551-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/c45ce5738370/sensors-22-06551-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/e2768ed6f3bd/sensors-22-06551-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/6bad7f8b0239/sensors-22-06551-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/ee4ce9e32adf/sensors-22-06551-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/dbd064213053/sensors-22-06551-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/0e0f1029a94a/sensors-22-06551-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/fb8c60c8d15f/sensors-22-06551-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/6441d5c6e828/sensors-22-06551-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/73d2d57450c4/sensors-22-06551-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/8248457c6ccd/sensors-22-06551-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/584af6953570/sensors-22-06551-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/72832fd09dac/sensors-22-06551-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/1208d91d474f/sensors-22-06551-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/c45ce5738370/sensors-22-06551-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/e2768ed6f3bd/sensors-22-06551-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/6bad7f8b0239/sensors-22-06551-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/ee4ce9e32adf/sensors-22-06551-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/dbd064213053/sensors-22-06551-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/0e0f1029a94a/sensors-22-06551-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/fb8c60c8d15f/sensors-22-06551-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/6441d5c6e828/sensors-22-06551-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/73d2d57450c4/sensors-22-06551-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/8248457c6ccd/sensors-22-06551-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/584af6953570/sensors-22-06551-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/72832fd09dac/sensors-22-06551-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d80/9460250/1208d91d474f/sensors-22-06551-g013.jpg
摘要

井筒是连接井下与地面的重要通道,承担着人员和物料运输、通风等重要功能。因此,井筒作为矿井的咽喉,是整个矿井的生产枢纽。自1980年以来,我国许多地区的煤矿井筒都出现了损坏,严重影响了矿井生产安全。因此,有必要对井筒壁状况进行实时监测。然而,由于井下生产环境恶劣,传统的监测方法无法实现对井筒壁的长期、连续和稳定监测。为此,提出了一种基于光纤光栅(FBG)传感为主、弦式传感为辅的井筒壁变形与损伤多模式联合传感系统。FBG传感原理是,当温度、压力和应变等外部环境发生变化时,FBG中的光传输特性如波长、相位和幅度也会相应改变。利用FBG应变与波长漂移的线性关系,通过计算得到被测结构的应变。本文首先介绍了矿井的基本情况,分析了井筒损坏的原因。然后结合相应的受力特性,推导了不同井筒深度处的竖向和周向理论值。此外,建立了由光纤、保护层、粘结层和井壁组成的井筒四层应变传递结构模型,进而推导了井筒壁表面粘贴FBG传感的应变传递关系式。分析了井筒壁表面粘贴FBG的应变传感传递规律及影响应变传感传递的因素。通过数值模拟得出影响应变传感传递的关键因素顺序为:保护层半径、FBG粘贴长度、粘结层弹性模量。确定了井筒壁表面粘贴FBG应变传感传递效果最佳的封装参数。在某煤矿副井布置了6个水平监测站。通过对两种传感器传感数据的综合分析,结果表明,FBG传感器测得的井筒壁平均应变传递效率达到94.02%。与井筒壁传递效率理论推导值(98.6%)的相对平均误差为4.65%,验证了井筒壁表面粘贴FBG的应变传递效果。以FBG传感为主、弦式传感为辅的井筒壁变形监测系统对于实现井壁变形预警及进一步研究井筒壁破裂机理具有重要意义。

相似文献

1
Research and Application of Multi-Mode Joint Monitoring System for Shaft Wall Deformation.立井井壁变形多模式联合监测系统的研究与应用
Sensors (Basel). 2022 Aug 30;22(17):6551. doi: 10.3390/s22176551.
2
Application of FBG Sensor to Safety Monitoring of Mine Shaft Lining Structure.光纤布拉格光栅传感器在煤矿井筒结构安全监测中的应用。
Sensors (Basel). 2022 Jun 26;22(13):4838. doi: 10.3390/s22134838.
3
Research on a Space-Time Continuous Sensing System for Overburden Deformation and Failure during Coal Mining.采煤覆岩变形破坏时空连续感知系统研究
Sensors (Basel). 2023 Jun 27;23(13):5947. doi: 10.3390/s23135947.
4
Measurement-Error Analysis of Fiber Bragg Grating Flexible Sensor for Displacement-Field Monitoring of Geotechnical Engineering.用于岩土工程位移场监测的光纤布拉格光栅柔性传感器的测量误差分析
Sensors (Basel). 2022 Sep 21;22(19):7168. doi: 10.3390/s22197168.
5
Structural Design and Application of Desensitized FBG Force-Measuring Bolt.脱敏光纤布拉格光栅测力螺栓的结构设计与应用。
Sensors (Basel). 2022 May 23;22(10):3930. doi: 10.3390/s22103930.
6
Surface-Mounted Bare and Packaged Fiber Bragg Grating Sensors for Measuring Rock Strain in Uniaxial Testing.用于单轴测试中测量岩石应变的表面贴装裸光纤布拉格光栅传感器和封装光纤布拉格光栅传感器。
Sensors (Basel). 2021 Apr 22;21(9):2926. doi: 10.3390/s21092926.
7
Measurements of Excavation Damaged Zone by Using Fiber Bragg Grating Stress Sensors.利用光纤布拉格光栅应力传感器测量开挖损伤区
Sensors (Basel). 2021 Jul 23;21(15):5008. doi: 10.3390/s21155008.
8
Deformation Monitoring for Chinese Traditional Timber Buildings Using Fiber Bragg Grating Sensors.基于光纤布拉格光栅传感器的中国传统木构建筑变形监测
Sensors (Basel). 2018 Jun 19;18(6):1968. doi: 10.3390/s18061968.
9
Separation method of bending and torsion in shape sensing based on FBG sensors array.基于光纤布拉格光栅(FBG)传感器阵列的形状传感中弯曲与扭转的分离方法。
Opt Express. 2020 Mar 30;28(7):9367-9383. doi: 10.1364/OE.386738.
10
A Fiber Bragg Grating Borehole Deformation Sensor for Stress Measurement in Coal Mine Rock.一种用于煤矿岩石应力测量的光纤布拉格光栅钻孔变形传感器。
Sensors (Basel). 2020 Jun 8;20(11):3267. doi: 10.3390/s20113267.

本文引用的文献

1
Research on Three-Dimensional Stress Monitoring Method of Surrounding Rock Based on FBG Sensing Technology.基于光纤光栅传感技术的围岩三维应力监测方法研究
Sensors (Basel). 2022 Mar 29;22(7):2624. doi: 10.3390/s22072624.
2
Fiber Bragg Grating Monitoring of Full-bolt Axial Force of the Bolt in the Deep Strong Mining Roadway.深部强采巷道锚杆全长锚固轴向力的光纤布拉格光栅监测
Sensors (Basel). 2020 Jul 30;20(15):4242. doi: 10.3390/s20154242.
3
The Reusable Load Cell with Protection Applied for Online Monitoring of Overhead Transmission Lines Based on Fiber Bragg Grating.
基于光纤布拉格光栅的用于架空输电线路在线监测的带防护的可重复使用称重传感器
Sensors (Basel). 2016 Jun 21;16(6):922. doi: 10.3390/s16060922.