Volume 49 Issue 2
Feb.  2023
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Article Navigation >  Journal of Mine Automation  > 2023  >  49(2): 23-30, 55
XING Zhen, HAN An, CHEN Xiaojing, et al. Research on intelligent mine disaster digital twin based on industrial Internet[J]. Journal of Mine Automation，2023，49(2)：23-30, 55.  doi: 10.13272/j.issn.1671-251x.2022120050
Citation: XING Zhen, HAN An, CHEN Xiaojing, et al. Research on intelligent mine disaster digital twin based on industrial Internet[J]. Journal of Mine Automation，2023，49(2)：23-30, 55.  doi: 10.13272/j.issn.1671-251x.2022120050
shu

Research on intelligent mine disaster digital twin based on industrial Internet

doi: 10.13272/j.issn.1671-251x.2022120050
  • 1.

    CCTEG Changzhou Research Institute, Changzhou 213015, China

  • 2.

    Tiandi (Changzhou) Automation Co., Ltd., Changzhou 213015, China

  • Received Date: 2022-12-16
  • Rev Recd Date: 2023-02-01
    • Available Online: 2023-02-27
    Abstract
  • The comprehensive control of coal mine disasters is a key problem to be solved in the process of intelligent mine construction. It is an inevitable requirement for the construction of intelligent mines to realize the normalization control of coal mine disasters with the help of digital twin technology. Based on the connotation and essence of the digital twin, this paper analyzes the recognition rule of the digital twin and puts forward the application mode of digital twin technology in coal mine disaster research combining with data interactive process of mine disaster digital twin. Real-time monitoring is carried out by coal mine underground disaster monitoring sensor. The monitoring data is uploaded to the cloud through the edge communication module and cloud communication module. The digital twin numerical simulation software is deployed in the cloud. The monitoring data uploaded by the sensor is used as the initial condition parameter, boundary condition parameter and effect verification parameter. The best optimization parameters and solutions are sought through real-time simulation analysis and continuous trial and error. When the technical means are mature in the twin world, they can be used to analyze, judge and make decisions on the best parameters and solutions for virtual entities. The decision instructions can be sent to underground actuators to control the action of disaster prevention equipment. This paper discusses the practical application of digital twin enabling disaster predictive management and control from three aspects: disaster monitoring scheme optimization, disaster rehearsal and precise planning of disaster avoidance route, and post-disaster rescue scheme formulation and accident investigation. Based on the "cloud-pipe-edge-end" architecture of the industrial Internet, the digital twin service system for coal mine disasters is constructed. The key technologies of digital twin for mine disasters are analyzed. The technologies include intelligent sensing and execution equipment for coal mine disasters, simulation software for coal mine disasters and common support technologies. It is expected to provide reference for the construction of digital twin-enabling intelligent mines.

     

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