Event-Driven Dynamics Model of Operating State Evolution for Cantilever Roadheader
In the application of digital twin technology for the heading workface in coal mining, real-time state data will be transmitted to the remote control platform through a gateway device. This cross-system and cross-software data transmission method inevitably introduces transmission delays, resulting in a certain spatiotemporal discrepancy in the virtual model control for the remote control of the physical equipment. In this paper, by analyzing the operational process of the cantilever roadheader, a state evolution dynamics model construction method for the cantilever roadheader is proposed, which includes three stages, the discretization of the operating state based on the cutting path, event-driven graph construction of the cutting state evolution, and real-time data-driven dynamics evolution, so to continuously monitor, analyze, and adjust the operational dynamics of the cantilever roadheader based on real-time state data, thus improving the efficiency, performance, and adaptability. The construction of the model provides a theoretical basis and technical support for the construction and alignment of the digital twin multidimensional model of the cantilever roadheader.
Authors
- Yan Wang (ORCID: https://orcid.org/0000-0003-3299-046X)
- Ya Gao (ORCID: https://orcid.org/0000-0002-8321-7795)
- Xuhui Zhang (ORCID: https://orcid.org/0000-0002-5216-1362)
- Haibo Kou (ORCID: https://orcid.org/0000-0002-4010-1450)
- Zhiwei Yang (ORCID: https://orcid.org/0000-0003-3156-1807)
- Youjun Zhao
Institutions
- Xi'an University of Science and Technology (CN)
- Beijing Jingshida Electromechanical Equipment Research Institute (CN)
Publication Details
- Journal
- Applied Sciences
- Published
- 2025-04-16
- DOI
- https://doi.org/10.3390/app15084376
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Natural Science Foundation of Shaanxi Province