基于数字孪生技术的掘进机自动截割方法及应用研究

Roadheader Automatic Cutting Method Based on Digital Twin Technology and Its Application and Research

  • 摘要: 针对高庄煤业31104工作面掘进机遥控截割精度低、劳动强度大、安全性差等问题,提出一种基于数字孪生的感知-建模-控制-交互一体化掘进机自动截割系统。系统融合惯性导航与全站仪实现设备三维位姿精准感知,结合GIS与点云数据构建高精度巷道模型,开发基于实时点云反馈的动态模板修正算法,实现每推进1 m模板更新周期≤0.5 s,较传统静态模板规划效率提升80%。工业试验表明,系统在31104工作面连续30 d测试中,截割轨迹偏差标准差由传统模式的18.3 cm降至4.7 cm,断面成型合格率从67.5%提升至92.8%,掘进效率提高10%~15%。作业人员与迎头距离超过100 m,实现了“远程集中控制+模型驱动”的无人化作业模式。

     

    Abstract: In view of the problems of low roadheader remote cutting accuracy, high labor intensity, poor safety and others of the 3lower1104 working face in Gaozhuang Coal Industry, a type of digital twin based integrated roadheader automatic cutting system of perception-modeling-control-interaction is proposed. The system integrates inertial navigation and total station to achieve 3D pose accurate perception of equipment, combines GIS and point cloud data to construct a high-precision roadway model, and develops a dynamic template correction algorithm based on real-time point cloud feedback, the template update cycle is ≤ 0.5 s for every 1 m of advancement, the planning efficiency is improved by 80% compared to the traditional static template. The industrial tests show that during 30 days of continuous testing on the 3lower1104 working face, the standard error of the system’s cutting trajectory deviation is decreased from 18.3 cm of the traditional mode to 4.7 cm, the pass rate of the cross-section forming is improved from 67.5% to 92.8%, and the excavation efficiency is improved by 10%-15%. The distance between the operators and the head-on exceeds 100 m, achieving an unmanned operation mode of "remote centralized control+model-driven".

     

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