A fiber Bragg grating tilt sensor for posture monitoring of hydraulic supports in coal mine working face

Liang, Minfu; Fang, Xiaohui; Li, Shuang; Wu, Gang; Ma, Meng; Yugeng, Zhang

doi:10.1016/j.measurement.2019.02.060

Cited by 62 publications

(33 citation statements)

References 29 publications

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“…theoretically established the structure of the posture monitoring system of the two-column shield hydraulic support [19]. At the same time, an optical fiber grating tilt sensor and posture monitoring program for the hydraulic support were designed and proposed, and an error compensation method for tilt detection was presented.…”

Section: B Related Workmentioning

confidence: 99%

Relative Position and Posture Detection of Hydraulic Support Based on Particle Swarm Optimization

Gao

Zhang

et al. 2020

IEEE Access

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The position and posture of the hydraulic support seriously affect the efficiency of coal mining and the safety of coal production. However, most of the current detection technologies have poor reliability, and the detection methods are difficult to adapt to the complex environment of coal mines. To effectively monitor the hydraulic support, and thereby improve the efficiency of coal mining, we propose a new method to detect the relative position and posture of the hydraulic support. The method is based on the mathematical idea that three points can determine a plane. Firstly, we use angle sensors and displacement sensors to build the detection device, use STM32 microprocessor to collect data, and realize real-time display of the data on the PC. Then, we conduct a single point detection experiment and a plane moving experiment, and combined the particle swarm optimization (PSO) algorithm to optimize the data. Experiment results show that the relative error of the single-point detection can reach 0.53%. Thirdly, we carry out a detection experiment of three points on the plane. Experiment results show that the detection accuracy of the two planes can reach 0.2°. Finally, to test the monitoring effect of the detection device on the hydraulic support, we carry out the relative position and posture detection experiment of the canopy. The experiment results show that the device can effectively detect the posture change of the canopy when the hydraulic support are moving. The method we use is contact measurement, which has high reliability and strong stability. The research on the relative position and posture detection of hydraulic support provides a reliable method to monitor the support working status. It lays the foundation for the intelligent control of the mining working face straightness and the perception of the support posture.

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Section: B Related Workmentioning

confidence: 99%

Relative Position and Posture Detection of Hydraulic Support Based on Particle Swarm Optimization

Gao

Zhang

et al. 2020

IEEE Access

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“…The hydraulic support is one of the important safety supporting equipment in the process of coal mining. [1][2][3] Its safety and reliability are very important for the safe mining of coal mines. In order to improve design quality, many researchers have carried out a lot of research on static strength [4][5][6][7] and dynamic behaviors [8][9][10] of hydraulic support.…”

Section: Introductionmentioning

confidence: 99%

Effects of boundary conditions on stress distribution of hydraulic support: A simulation and experimental study

Lin

Yang

et al. 2021

Advances in Mechanical Engineering

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This paper analyzed the effects of boundary conditions on the stress distribution of hydraulic support with the static finite element (FE) model. Five loading conditions are considered in this study, including: 1) canopy torsional loading, 2) canopy eccentric loading, 3) base torsional loading, 4) base diagonal loading, and 5) base symmetrical loading. In order to verify the simulation results obtained from the FE model, the corresponding experiments have also been performed. Based on the comparison between simulation and experimental results, the effects of pin-joint simplified methods and boundary conditions are evaluated in terms of accuracy and efficiency. Moreover, the new elastic-support boundary is also proposed to improve the simulation accuracy under conditions 2, 3, 4, and 5. The results show that bonded contact between the pin and shaft hole has high efficiency and accuracy compared with the frictional contact. The frictional contact boundary is reasonable under condition 1. However, the elastic-support boundary is suggested to be adopted to improve calculation accuracy for the stress distribution of the constraint components (canopy or base) under conditions 2, 3, 4, and 5.

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“…With the development of sensing technology, researchers begin to use modern sensing technology to measure the pressure, stress distribution, posture, and deformation of hydraulic supports in actual work (Liang et al, 2017;Pamukcu et al, 2018;Pereira et al, 2015). For instance, the displacement sensor and pressure sensor are equipped with modern hydraulic support to quantify the working resistance (Wu et al, 2019); A Fiber Bragg Grating (FBG) tilt sensor based on double equal strength beams is designed and used to monitor the posture of hydraulic supports (Liang et al, 2019); Zhen Ma et al reported optical FBG sensors for aircraft wing shape measurement (Ma & Chen, 2019).…”

Section: Introductionmentioning

confidence: 99%

Weld deformation of hydraulic support measurements by using FBG sensors

Wang

et al. 2021

Preprint

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The welding deformation and cracking of hydraulic support structural parts have always been an important issue that impacts product quality and performance in the industry. In order to quantify the deformation of the welding seam of the reverse four-bar linkage hydraulic support under loading conditions, a real-time weld monitoring system based on sensitive Fiber Bragg Grating sensors is designed, which contains a hydraulic pressure measurement unit based on a NI DAQ-USB 6002 and an optical fiber data acquisition unit mainly composed by a SM125-500 demodulator, meanwhile they are synchronized by the timestamp of the host computer. Four typical eccentric load experiments were performed on a top coal caving reverse four-link support in the test bench of Safety Access Analysis and Verification Laboratory for Mine Support Equipment. The results prove that the Fiber Bragg Grating sensor is accurate enough to measure weld deformation of hydraulic support, measurement resolution reaches 0.1 mm and the eccentric load experiment makes the reverse four-bar torsion force, especially when the top beam at a low position, the maximum deformation of the weld reaches 100 mm.

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A fiber Bragg grating tilt sensor for posture monitoring of hydraulic supports in coal mine working face

Cited by 62 publications

References 29 publications

Relative Position and Posture Detection of Hydraulic Support Based on Particle Swarm Optimization

Relative Position and Posture Detection of Hydraulic Support Based on Particle Swarm Optimization

Effects of boundary conditions on stress distribution of hydraulic support: A simulation and experimental study

Weld deformation of hydraulic support measurements by using FBG sensors

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