Volume 49 Issue 6
Jun.  2023
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WANG Hongwei, QIE Chenfei, FU Xiang, et al. Intelligent decision-making model of multi-behavior collaborative control in coal mine excavation[J]. Journal of Mine Automation，2023，49(6)：120-127. DOI: 10.13272/j.issn.1671-251x.18114
Citation: WANG Hongwei, QIE Chenfei, FU Xiang, et al. Intelligent decision-making model of multi-behavior collaborative control in coal mine excavation[J]. Journal of Mine Automation，2023，49(6)：120-127. DOI: 10.13272/j.issn.1671-251x.18114
shu

Intelligent decision-making model of multi-behavior collaborative control in coal mine excavation

  • 1.

    Center of Shanxi Engineering Research for Coal Mine Intelligent Equipment, Taiyuan University of Technology, Taiyuan 030024, China

  • 2.

    College of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, China

  • 3.

    College of Safety and Emergency Management Engineering, Taiyuan University of Technology, Taiyuan 030024, China

  • 4.

    College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China

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  • Received Date: May 07, 2023
  • Revised Date: June 14, 2023
  • Available Online: July 09, 2023
    Graphical Abstract
    • Abstract
  • Intelligent decision-making support for multi-behavior collaborative control in coal mine excavation is one of the core functions of the coal mine excavation working face. The optimal time series planning of multi-behavior collaborative control in excavation is the key to intelligent decision-making. In order to solve the problems of single control mode, solidification and poor collaborative operation capability of multi-behavior in coal mine excavation, an intelligent decision-making model of multi-behavior collaborative control in coal mine excavation is designed. It realizes the collaborative operation of multi-behavior in the optimal time series. Firstly, an intelligent decision-making method for excavation multi-behavior collaborative control is proposed. The feasible time series planning set and multi-objective optimal time series planning strategy for excavation multi-behavior are determined. Secondly, based on the regulations and process requirements of the excavation site, a set of excavation action events is determined. By analyzing the time relationship between two action events in the event set, a constraint matrix for the time relationship of excavation multi-behaviors is obtained. Thirdly, based on the transformation method of the time relationship constraint matrix, the multi-behavior time relationship constraint matrix of excavation is transformed into a time relationship constraint matrix. The feasible time series planning set of excavation multi-behavior is obtained. Finally, the solving functions for different excavation objectives are defined and the optimal time series for different excavation objectives is obtained. The experimental results show that the excavation robot can work collaboratively without interference according to the optimal time series planning results of the excavation action determined by the model under different excavation objects. The execution time of one working cycle of the excavation operation is basically consistent with the time calculated by the decision-making model.
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