Applied Sciences (Oct 2023)

Autonomous Process Execution Control Algorithms of Solid Intelligent Backfilling Technology: Development and Numerical Testing

  • Tingcheng Zong,
  • Fengming Li,
  • Qiang Zhang,
  • Zhongliang Sun,
  • Haonan Lv

DOI
https://doi.org/10.3390/app132111704
Journal volume & issue
Vol. 13, no. 21
p. 11704

Abstract

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This paper analyzes the typical technical problems arising from dumping and tamping collision interferences in the working faces of conventional mechanized solid backfilling mining (SBM). Additionally, the technical and consecutive characteristics of the solid intelligent backfilling (SIB) method, the execution device, and the corresponding process categories of the SIB process are analyzed. A design for an SIB process flow is presented. Critical algorithms, including automatic recognition and optimization planning based on the cost function and laying the algorithm foundation, are proposed to develop a backfilling process control system. A joint simulation test system is built on a MATLAB/Simulink simulation toolkit (MSST) to simulate and test the optimized algorithms. The results show that the optimized algorithm can realize the automatic optimization planning and automatic interference-recognition adjustment of the backfilling process under actual engineering conditions. In conclusion, this paper analyzes typical technical problems in the conventional backfilling process, designs the SIB process flow, and develops key algorithms to achieve the automatic control of the backfilling process.

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