Virtual monitoring method for hydraulic supports based on digital twin theory
Abstract
This study proposes a virtual monitoring method for hydraulic supports based on digital twin theory. This method includes an information model, which monitors the attitudes of the hydraulic supports using an information fusion algorithm. This is combined with a virtual digital model that simulates the actual hydraulic support. Important technological aspects of the monitoring system were achieved at the real-virtual interface, which digitizes and modularizes the management and connection processes of the hydraulic supports over its entire life cycle. Finally, experiments were conducted and the real-time virtual images were synchronized with the actual motion of the support within one second, and the error range between the virtual and actual support postures did not exceed 1%. This study demonstrates the potential of this novel combined approach to make it possible to effectively monitor and make decisions regarding the safe and efficient operation of mechanized mine equipment that employ hydraulic supports.
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Energy consumption is a topic already treated in literature based on the machine states of a single machine.
“Energy consumption is a topic that was already treated in literature based on the machine states of a single machine [80,82].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [80]
Each machine can be modelled through a set of machine states identified in literature.
“Each machine can be modelled through a set of machine states identified in literature [80].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [80]
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References 21 · Cited by 69
- Authors
- Xie, J., Wang, X., Yang, Z., & Hao, S.
- Affiliations
- Taiyuan University of Technology (CN)
- College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, People’s Republic of China
- Taiyuan Mining Machinery Group Co., Ltd., Taiyuan, People’s Republic of China
- Corresponding author
- Xie, Jiacheng
- Venue
- Mining Technology
- Publisher
- SAGE Publications
- Published
- 2019-01-24
- Volume
- 128
- Issue
- 2
- Pages
- 77-87
- ISSN
- 0371-7844 (ISSN-L)
- 2572-6668
- 2572-6676
- OpenAlex
- W2914274982
- Cited by
- 69
- References
- 21
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 7 · 2023: 15 · 2022: 15 · 2021: 11 · 2020: 6 · 2019: 4
- FWCI
- 6.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Mining Technology Transactions of the Institutions of Mining and Metallurgy (publishedVersion)
- Funders
- returned overseas personnel sci-tech activities of Shanxi Province (2016)
- Applied Basic Research Project of Shanxi (201601D021084)
- Shanxi Scholarship Council of China (2016-043)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Mechanics of Materials › Geomechanics and Mining Engineering
- Life Sciences › Agricultural and Biological Sciences › Food Science › Mining and Industrial Processes
- Keywords
- hydraulic support, virtual monitoring, digital twin, data fusion, life cycle management, real-time synchronization
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