贺 颖, 田慕琴, 宋建成, 冯君玲, 董宗慧. 基于掘进机截割电机电流的岩石硬度识别[J]. 煤矿安全, 2020, 51(12): 159-162.
    引用本文: 贺 颖, 田慕琴, 宋建成, 冯君玲, 董宗慧. 基于掘进机截割电机电流的岩石硬度识别[J]. 煤矿安全, 2020, 51(12): 159-162.
    HE Ying, TIAN Muqin, SONG Jiancheng, FENG Junling, DONG Zonghui. Rock Hardness Identification Based on Cutting Motor Current of Roadheader[J]. Safety in Coal Mines, 2020, 51(12): 159-162.
    Citation: HE Ying, TIAN Muqin, SONG Jiancheng, FENG Junling, DONG Zonghui. Rock Hardness Identification Based on Cutting Motor Current of Roadheader[J]. Safety in Coal Mines, 2020, 51(12): 159-162.

    基于掘进机截割电机电流的岩石硬度识别

    Rock Hardness Identification Based on Cutting Motor Current of Roadheader

    • 摘要: 针对岩巷掘进机在掘进过程中,截割载荷难以直接监测,导致截割转速和摆速无法及时调整以适应岩石硬度变化的问题,研究了基于截割电机电流信号识别截割岩石硬度;通过分析截割动载荷与电机电流信号之间的传输特性,构建截割电机电流与截割岩石接触强度系数之间的函数模型,识别截割岩石硬度;以EBZ160TY型重型掘进机地面试验数据进行验证,平均识别精度为90.5%。结果表明:利用截割电机电流信号能够有效的识别截割岩石的硬度,为掘进机实现自动控制提供可靠依据。

       

      Abstract: It is difficult to monitor the cutting load directly during the driving process of roadheader for rock tunnel, which leads to the problem that the cutting speed and swing speed cannot be adjusted in time to adapt to the rock hardness change. In this paper, the rock hardness identification based on cutting motor current signal is studied. By analyzing the transmission characteristics between the cutting dynamic load and the cutting motor current signal, the function model between the cutting motor current and the cutting rock contact strength coefficient is established to identify the cutting rock hardness. Based on the ground test data of EBZ160TY heavy roadheader, the average recognition accuracy is 90.5%. The results show that the cutting motor current signal can effectively identify the cutting rock hardness and provide the reliable basis for automatic control of roadheader.

       

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