Journal of System Simulation
Abstract
Abstract: Aiming at the problems in coal mine tunneling operations, including complex geological structures, harsh on-site conditions, low automation of excavation equipment, and frequent safety incidents, a digital twin solution is proposed. PLC as hardware core, MQTT protocol, and EMQX as foundation, through the integration of IoT, internet, digital twins, and virtual reality technologies, the mapping rules for parameter matrices and a fault cause analysis table are established, which realize the functions such as data collection, processing during excavation, data mapping between equipment and twin models, data storage, process simulation, remote control, intelligent fault detection, and early warning, and significantly enhance the digitization and automation levels of coal mine tunneling operations. Results show that the solution is highly feasible, reliable, and practical for improving the tunnel excavation process of coal mines, with significant potential for broader application.
Recommended Citation
Cai, Xingwang; Pei, Yaoqiang; Yang, Jihua; and Pang, Ruifeng
(2024)
"Research on Digital Twin Technology of Coal Mine Tunneling Machine System,"
Journal of System Simulation: Vol. 36:
Iss.
10, Article 20.
DOI: 10.16182/j.issn1004731x.joss.23-0678
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss10/20
First Page
2455
Last Page
2468
CLC
TP391.9
Recommended Citation
Cai Xingwang, Pei Yaoqiang, Yang Jihua, et al. Research on Digital Twin Technology of Coal Mine Tunneling Machine System[J]. Journal of System Simulation, 2024, 36(10): 2455-2468.
DOI
10.16182/j.issn1004731x.joss.23-0678
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