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井下生产操作实践中疲劳状态感知

刘毅 张纬韬 张帆

刘毅, 张纬韬, 张帆. 井下生产操作实践中疲劳状态感知[J]. 工矿自动化, 2022, 48(2): 114-118,130. doi: 10.13272/j.issn.1671-251x.17875
引用本文: 刘毅, 张纬韬, 张帆. 井下生产操作实践中疲劳状态感知[J]. 工矿自动化, 2022, 48(2): 114-118,130. doi: 10.13272/j.issn.1671-251x.17875
LIU Yi, ZHANG Weitao, ZHANG Fan. Fatigue state perception in underground production operation practice[J]. Industry and Mine Automation, 2022, 48(2): 114-118,130. doi: 10.13272/j.issn.1671-251x.17875
Citation: LIU Yi, ZHANG Weitao, ZHANG Fan. Fatigue state perception in underground production operation practice[J]. Industry and Mine Automation, 2022, 48(2): 114-118,130. doi: 10.13272/j.issn.1671-251x.17875

井下生产操作实践中疲劳状态感知

doi: 10.13272/j.issn.1671-251x.17875
基金项目: 

国家重点研发计划项目(2016YFC0801806);中国矿业大学(北京)教学内容更新与教学方法改革研究项目(J210418);中央高校基本科研业务费资助项目(2021YJSJD24)。

详细信息
    作者简介:

    刘毅(1973-),男,山西临汾人,副教授,博士,研究方向为矿井通信与定位、矿井监控与监视,E-mail:liu_y@sina.com。

  • 中图分类号: TD67

Fatigue state perception in underground production operation practice

  • 摘要: 煤矿事故中人为因素引发的事故主要由井下作业人员疲劳和注意力不集中引发的误操作造成。现有基于生理信号或眼部图像的人员疲劳检测方法存在实施复杂、适应性差、准确率低、易漏报和误报等问题。针对上述问题,设计了一种基于头部姿态监测的井下人员疲劳状态感知装置。当井下人员处于疲劳状态时,会产生头部下垂动作,大脑通过耳蜗感知到头部失去平衡,为了恢复平衡和保持清醒,大脑会控制颈部进行恢复性抬头动作,从而形成一个周期性点头动作。在安全帽上安装九轴姿态传感器采集角速度、加速度、磁场强度,通过数据融合得到头部姿态数据,利用四元数法解算头部姿态角,并根据头部姿态角捕捉点头动作,当单位时间内点头动作占比超出阈值,则判断人员处于疲劳状态,发出声光预警,并通过无线方式向地面监控终端发送预警信号。实验结果表明,该装置能准确获取头部姿态角,捕捉疲劳特征动作,并有效判断井下人员是否处于疲劳状态。该装置具有体积小、质量轻、功耗低、易于实施等特点,可为生产操作实践中操作疲劳监测提供技术借鉴。

     

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出版历程
  • 收稿日期:  2021-12-16
  • 修回日期:  2022-01-30
  • 网络出版日期:  2022-03-01

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