中国安全科学学报 ›› 2024, Vol. 34 ›› Issue (S1): 134-139.doi: 10.16265/j.cnki.issn1003-3033.2024.S1.0039

• 安全工程技术 • 上一篇    下一篇

基于数字孪生的钻机运行安全状态监测技术研究

王晗()   

  1. 国家能源集团宝日希勒能源有限公司 露天煤矿, 内蒙古 呼伦贝尔 021008
  • 收稿日期:2024-03-14 修回日期:2024-05-17 出版日期:2024-06-30
  • 作者简介:

    王 晗 (1979—),男,山东诸城人,本科,工程师,主要从事煤炭开采与机电设备管理方面的工作。E-mail:

Research on safety condition monitoring technology of drilling rigs based on digital twins

WANG Han()   

  1. Open-pit Coal Mine of Baori Shiller Energy Co., Ltd., National Energy Group, Hulun Buir Inner Mongolia 021008, China
  • Received:2024-03-14 Revised:2024-05-17 Published:2024-06-30

摘要:

为预防矿用钻机因过载产生疲劳失效而诱发安全事故,提出基于数字孪生的钻机运行安全状态监测技术。首先,提出钻机运行安全状态数字孪生监控系统整体框架;然后,提出基于代理模型的钻机受力状态实时分析方法;最后,利用有限元法获取钻机翻转框架应力分布及幅值数据集,用于对代理模型的训练和测试。结果表明:有限元计算的做大应力值与代理模型预测值之间的差值最大不超过5×10-6 MPa。且所有节点预测值与计算值之差的绝对值方差约为2×10-6 MPa。这表明所提出的代理模型可用于代替有限元方法实时分析钻机翻转框架的应力。

关键词: 数字孪生, 矿用钻机, 状态监测, 代理模型, 受力状态

Abstract:

In order to prevent safety accidents caused by fatigue failure of mining drilling rigs due to overload, a safety condition monitoring technology of drilling rigs based on digital twins was studied. First, the overall framework of the digital twins-based monitoring system for safe operation conditions of drilling rigs was proposed, and then a real-time analysis method of drilling rig stress conditions based on a proxy model was studied. The finite element method was used to obtain stress distribution and amplitude data sets of the rig overturning frame, which were used for training and testing the proxy model. The results show that the maximum difference between the large-scale stress value calculated by the finite element method and the predicted value by the proxy model does not exceed 5×10-6 MPa. The absolute variance of the difference between the predicted values and the calculated values at all nodes is about 2×10-6 MPa. This shows that the proposed proxy model can be used instead of the finite element method to analyze the real-time stress of the rig overturning frame.

Key words: digital twins, mining drilling rig, condition monitoring, proxy model, stress condition

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