Research on the high precision hydraulic column stress monitoring method

Abstract The hydraulic column is a core component in the coal mine support system, however, the real-time monitoring of the hydraulic column during the service process of the hydraulic support faces challenges. To address these issues, a high-precision stress mapping method of hydraulic column is pr...

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Main Authors: Jianzhuo Zhang, Chuanxu Wan, Jie Wang, Ce Chen, Tao Wang, Kai Xu
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-84610-x
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author Jianzhuo Zhang
Chuanxu Wan
Jie Wang
Ce Chen
Tao Wang
Kai Xu
author_facet Jianzhuo Zhang
Chuanxu Wan
Jie Wang
Ce Chen
Tao Wang
Kai Xu
author_sort Jianzhuo Zhang
collection DOAJ
description Abstract The hydraulic column is a core component in the coal mine support system, however, the real-time monitoring of the hydraulic column during the service process of the hydraulic support faces challenges. To address these issues, a high-precision stress mapping method of hydraulic column is proposed. The hydraulic column loss function was constructed to guide the data-driven model training, and the cylinder stress mechanism model was established by using the elastic–plastic theory of thick-walled cylinder. The weight coefficients of the data-driven model and the mechanism model were determined by the measurement data, and the high-precision stress mapping results were obtained by combining the data-driven model data and mechanism model data. A monitoring platform was built for the unit hydraulic support column, and the unit hydraulic support column was used as the test object to carry out pressure tests of 600 kN, 800 kN, 1000 kN and 1200 kN. The test data of the four groups showed that the error between the stress mapping results and the measured value of the strain gauges was 3.086%, 1.783%, 1.182% and 1.548%, respectively. The mapping period is 0.32 s, which proves that the method can provide real-time and high-precision feedback on the stress state of the hydraulic column, realize real-time monitoring of the stress state of the hydraulic column, solve the problem that stress cannot be measured by attaching strain gauges in the complex underground environment, predict the fault and safety problems of the hydraulic column due to overload, and provide data reserve for the adaptive regulation of the hydraulic support.
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issn 2045-2322
language English
publishDate 2025-01-01
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spelling doaj-art-e7f6f632cffd432a90bcbbc360f7da092025-01-05T12:20:07ZengNature PortfolioScientific Reports2045-23222025-01-0115111410.1038/s41598-024-84610-xResearch on the high precision hydraulic column stress monitoring methodJianzhuo Zhang0Chuanxu Wan1Jie Wang2Ce Chen3Tao Wang4Kai Xu5College of Mechanical Engineering, Liaoning Technical UniversityCollege of Mechanical Engineering, Liaoning Technical UniversityCollege of Mechanical Engineering, Liaoning Technical UniversityCollege of Mechanical Engineering, Liaoning Technical UniversityCollege of Mechanical Engineering, Liaoning Technical UniversityShandong Yankuang Intelligent Manufacturing Co.Abstract The hydraulic column is a core component in the coal mine support system, however, the real-time monitoring of the hydraulic column during the service process of the hydraulic support faces challenges. To address these issues, a high-precision stress mapping method of hydraulic column is proposed. The hydraulic column loss function was constructed to guide the data-driven model training, and the cylinder stress mechanism model was established by using the elastic–plastic theory of thick-walled cylinder. The weight coefficients of the data-driven model and the mechanism model were determined by the measurement data, and the high-precision stress mapping results were obtained by combining the data-driven model data and mechanism model data. A monitoring platform was built for the unit hydraulic support column, and the unit hydraulic support column was used as the test object to carry out pressure tests of 600 kN, 800 kN, 1000 kN and 1200 kN. The test data of the four groups showed that the error between the stress mapping results and the measured value of the strain gauges was 3.086%, 1.783%, 1.182% and 1.548%, respectively. The mapping period is 0.32 s, which proves that the method can provide real-time and high-precision feedback on the stress state of the hydraulic column, realize real-time monitoring of the stress state of the hydraulic column, solve the problem that stress cannot be measured by attaching strain gauges in the complex underground environment, predict the fault and safety problems of the hydraulic column due to overload, and provide data reserve for the adaptive regulation of the hydraulic support.https://doi.org/10.1038/s41598-024-84610-xCoal mineHydraulic columnStress monitoringLoss functionModel fusion
spellingShingle Jianzhuo Zhang
Chuanxu Wan
Jie Wang
Ce Chen
Tao Wang
Kai Xu
Research on the high precision hydraulic column stress monitoring method
Scientific Reports
Coal mine
Hydraulic column
Stress monitoring
Loss function
Model fusion
title Research on the high precision hydraulic column stress monitoring method
title_full Research on the high precision hydraulic column stress monitoring method
title_fullStr Research on the high precision hydraulic column stress monitoring method
title_full_unstemmed Research on the high precision hydraulic column stress monitoring method
title_short Research on the high precision hydraulic column stress monitoring method
title_sort research on the high precision hydraulic column stress monitoring method
topic Coal mine
Hydraulic column
Stress monitoring
Loss function
Model fusion
url https://doi.org/10.1038/s41598-024-84610-x
work_keys_str_mv AT jianzhuozhang researchonthehighprecisionhydrauliccolumnstressmonitoringmethod
AT chuanxuwan researchonthehighprecisionhydrauliccolumnstressmonitoringmethod
AT jiewang researchonthehighprecisionhydrauliccolumnstressmonitoringmethod
AT cechen researchonthehighprecisionhydrauliccolumnstressmonitoringmethod
AT taowang researchonthehighprecisionhydrauliccolumnstressmonitoringmethod
AT kaixu researchonthehighprecisionhydrauliccolumnstressmonitoringmethod