Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology
Intelligent mining represents a critical path for the safe and efficient extraction of challenging coal resources, particularly those with steep and extreme inclinations, in China. Large-scale physical simulations leveraging digital twin technology are pivotal in addressing the intricate mechanical...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Coal Science and Technology
2024-12-01
|
| Series: | Meitan kexue jishu |
| Subjects: | |
| Online Access: | http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2024-0011 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841527891605585920 |
|---|---|
| author | Panshi XIE Hang YANG Yongping WU Baofa HUANG Weidian LIN Leilei YI |
| author_facet | Panshi XIE Hang YANG Yongping WU Baofa HUANG Weidian LIN Leilei YI |
| author_sort | Panshi XIE |
| collection | DOAJ |
| description | Intelligent mining represents a critical path for the safe and efficient extraction of challenging coal resources, particularly those with steep and extreme inclinations, in China. Large-scale physical simulations leveraging digital twin technology are pivotal in addressing the intricate mechanical behaviors of coal and rock, as well as the intelligent control challenges posed by gravity and inclination effects. This study comprehensively delineates the design framework, structural features, and testing/detection methodologies of a large-scale coal mining face physical simulation system empowered by digital twin technology. This system facilitates data visualization, robust human-machine interaction, and process self-optimization during mining operations. Addressing the challenges traditional hydraulic supports encounter in areas such as real-time monitoring, predictive maintenance, design optimization, and physical modeling, a posture perception and simulation system was developed. This system, grounded in hydraulic support and digital twin technology, employs software like SolidWorks, Maya, and Unity3D to create digital twin models of hydraulic supports. Through the integration of various posture perception sensors, it gathers posture and load data from the physical hydraulic supports. This setup enables precise posture alignment and immediate feedback between the digital twins and their physical counterparts. The system's mapping between virtual and real domains is achieved through detailed analysis and processing of the gathered data. Ultimately, the feasibility and efficacy of this system are corroborated through a multi-functional, variable-angle large-scale "support-surrounding rock" system physical simulation platform. This platform conducts reliability and stability tests under various inclination conditions, validating the system's operational capabilities. |
| format | Article |
| id | doaj-art-41f7889df702402892e4cbb4ac2494f6 |
| institution | Kabale University |
| issn | 0253-2336 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Department of Coal Science and Technology |
| record_format | Article |
| series | Meitan kexue jishu |
| spelling | doaj-art-41f7889df702402892e4cbb4ac2494f62025-01-15T05:38:22ZzhoEditorial Department of Coal Science and TechnologyMeitan kexue jishu0253-23362024-12-01521225927110.12438/cst.2024-00112024-0011Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technologyPanshi XIE0Hang YANG1Yongping WU2Baofa HUANG3Weidian LIN4Leilei YI5School of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSchool of Energy Engineering, Xi’an University of Science and Technology, Xi’an 710054, ChinaSichuan Chuan Coal Huarong Energy Co., Ltd., Panzhihua 617014, ChinaIntelligent mining represents a critical path for the safe and efficient extraction of challenging coal resources, particularly those with steep and extreme inclinations, in China. Large-scale physical simulations leveraging digital twin technology are pivotal in addressing the intricate mechanical behaviors of coal and rock, as well as the intelligent control challenges posed by gravity and inclination effects. This study comprehensively delineates the design framework, structural features, and testing/detection methodologies of a large-scale coal mining face physical simulation system empowered by digital twin technology. This system facilitates data visualization, robust human-machine interaction, and process self-optimization during mining operations. Addressing the challenges traditional hydraulic supports encounter in areas such as real-time monitoring, predictive maintenance, design optimization, and physical modeling, a posture perception and simulation system was developed. This system, grounded in hydraulic support and digital twin technology, employs software like SolidWorks, Maya, and Unity3D to create digital twin models of hydraulic supports. Through the integration of various posture perception sensors, it gathers posture and load data from the physical hydraulic supports. This setup enables precise posture alignment and immediate feedback between the digital twins and their physical counterparts. The system's mapping between virtual and real domains is achieved through detailed analysis and processing of the gathered data. Ultimately, the feasibility and efficacy of this system are corroborated through a multi-functional, variable-angle large-scale "support-surrounding rock" system physical simulation platform. This platform conducts reliability and stability tests under various inclination conditions, validating the system's operational capabilities.http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2024-0011difficult mining coal seamsdigital twinintelligent mininghydraulic supportposture sensinganalog simulation |
| spellingShingle | Panshi XIE Hang YANG Yongping WU Baofa HUANG Weidian LIN Leilei YI Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology Meitan kexue jishu difficult mining coal seams digital twin intelligent mining hydraulic support posture sensing analog simulation |
| title | Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology |
| title_full | Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology |
| title_fullStr | Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology |
| title_full_unstemmed | Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology |
| title_short | Investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology |
| title_sort | investigation into the monitoring and control of mechanical dynamics in inclined mining equipment utilizing digital twin technology |
| topic | difficult mining coal seams digital twin intelligent mining hydraulic support posture sensing analog simulation |
| url | http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2024-0011 |
| work_keys_str_mv | AT panshixie investigationintothemonitoringandcontrolofmechanicaldynamicsininclinedminingequipmentutilizingdigitaltwintechnology AT hangyang investigationintothemonitoringandcontrolofmechanicaldynamicsininclinedminingequipmentutilizingdigitaltwintechnology AT yongpingwu investigationintothemonitoringandcontrolofmechanicaldynamicsininclinedminingequipmentutilizingdigitaltwintechnology AT baofahuang investigationintothemonitoringandcontrolofmechanicaldynamicsininclinedminingequipmentutilizingdigitaltwintechnology AT weidianlin investigationintothemonitoringandcontrolofmechanicaldynamicsininclinedminingequipmentutilizingdigitaltwintechnology AT leileiyi investigationintothemonitoringandcontrolofmechanicaldynamicsininclinedminingequipmentutilizingdigitaltwintechnology |