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基于故障树的柔索驱动拣矸机器人系统分拣可靠性研究

乔心州 武琛琛 刘鹏 樊红卫 毛清华

乔心州,武琛琛,刘鹏,等. 基于故障树的柔索驱动拣矸机器人系统分拣可靠性研究[J]. 工矿自动化,2022,48(8):107-113.  doi: 10.13272/j.issn.1671-251x.2022050075
引用本文: 乔心州,武琛琛,刘鹏,等. 基于故障树的柔索驱动拣矸机器人系统分拣可靠性研究[J]. 工矿自动化,2022,48(8):107-113.  doi: 10.13272/j.issn.1671-251x.2022050075
QIAO Xinzhou, WU Chenchen, LIU Peng, et al. Research on sorting reliability of cable-driven gangue sorting robot system based on fault tree[J]. Journal of Mine Automation,2022,48(8):107-113.  doi: 10.13272/j.issn.1671-251x.2022050075
Citation: QIAO Xinzhou, WU Chenchen, LIU Peng, et al. Research on sorting reliability of cable-driven gangue sorting robot system based on fault tree[J]. Journal of Mine Automation,2022,48(8):107-113.  doi: 10.13272/j.issn.1671-251x.2022050075

基于故障树的柔索驱动拣矸机器人系统分拣可靠性研究

doi: 10.13272/j.issn.1671-251x.2022050075
基金项目: 陕西省自然科学基础研究计划项目(2019JQ-796)。
详细信息
    作者简介:

    乔心州(1974—),男,河南安阳人,副教授,博士,研究方向为结构可靠性与优化设计等,E-mail:qiaoxinzhou@xust.edu.cn

    通讯作者:

    刘鹏(1984—),男,陕西渭南人,讲师,博士,研究方向为机器人与人工智能等,E-mail:liupeng@xust.edu.cn

  • 中图分类号: TD67

Research on sorting reliability of cable-driven gangue sorting robot system based on fault tree

  • 摘要: 拣矸机器人的分拣可靠性与煤的品质及分拣效率息息相关,对拣矸机器人系统分拣可靠性进行研究十分必要。现有机器人系统可靠性研究主要是针对其结构可靠性进行研究,而没有对其工作任务可靠性即分拣可靠性进行研究。针对该问题,以柔索驱动拣矸机器人系统为研究对象,采用故障树分析法对其分拣可靠性进行研究。首先,从拣矸机器人系统的结构出发,分析了拣矸机器人系统分拣故障的原因,采用演绎法构建拣矸机器人系统的分拣故障树;然后,将故障树底事件发生概率考虑为区间变量,根据区间性质、运算法则和顶事件的概率表达式得到分拣故障树顶事件概率区间参数,结合设计要求计算出反映拣矸机器人系统分拣可靠性的非概率可靠性指标;最后,基于非概率可靠性指标公式及模糊重要度定义,提出了一种区间重要度指标,对分拣故障树底事件的区间重要度进行求解并排序,结果表明分拣可靠性满足拣矸机器人可靠分拣要求,煤矸石流瞬时含矸率增大和工业相机故障是影响其分拣可靠性的重要因素。根据非概率可靠性指标计算结果和区间重要度排序找出了拣矸机器人系统的薄弱环节,并针对薄弱环节提出了3个改进措施:在分拣前对煤矸石流振荡混合;根据识别的矸石信息,智能控制带式输送机带速;在拣矸机器人系统中增加备用工业相机。

     

  • 图  1  柔索驱动拣矸机器人系统结构

    Figure  1.  Structure of cable-driven gangue sorting robot system

    图  2  柔索驱动拣矸机器人分拣结果

    Figure  2.  Sorting result of cable-driven gangue sorting robot

    图  3  拣矸机器人系统分拣故障树

    Figure  3.  Fault tree of sorting of gangue sorting robot system

    图  4  拣矸机器人系统非概率可靠性指标判定

    Figure  4.  Evaluation of non-probabilistic reliability index of gangue sorting robot system

    图  5  中值重要度与离差重要度

    Figure  5.  Median importance degree and dispersion importance degree

    图  6  底事件中值重要度与离差重要度

    Figure  6.  Median importance degree and dispersion importance of bottom events

    表  1  拣矸机器人系统分拣故障树底事件

    Table  1.   Bottom event of sorting fault tree of gangue sorting robot system

    事件代号事件内容事件代号事件内容
    X1柔索断裂 X13继电器故障
    X2柔索变形X14熔断器故障
    X3索架破坏X15开关故障
    X4定滑轮破坏X16编码器通信故障
    X5卷筒破坏X17传感器故障
    X6末端抓斗定位不准X18控制卡板故障
    X7末端抓斗抓取掉落X19工控机故障
    X8末端抓斗空抓X20集成电路故障
    X9伺服电动机故障X21控制程序无法加载
    X10驱动器故障X22控制程序跑飞
    X11变压器故障X23瞬时含矸率增大
    X12线路故障X24工业相机故障
    下载: 导出CSV

    表  2  底事件发生概率区间变量的上界和下界

    Table  2.   Upper and lower bounds of the bottom event probability interval

    底事件
    发生概率
    区间变量
    下界
    区间变量
    上界
    底事件
    发生概率
    区间变量
    下界
    区间变量
    上界
    q12.0×10−54.0×10−5q135.8×10−47.8×10−4
    q21.6×10−42.4×10−4q145.8×10−48.2×10−4
    q31.8×10−42.4×10−4q153.0×10−55.0×10−5
    q42.5×10−43.5×10−4q165.4×10−47.8×10−4
    q51.3×10−41.7×10−4q172.6×10−43.8×10−4
    q65.0×10−47.2×10−4q188.0×10−51.6×10−4
    q71.5×10−41.9×10−4q193.5×10−45.5×10−4
    q81.0×10−53.0×10−5q201.2×10−31.6×10−3
    q95.0×10−47.0×10−4q216.0×10−41.8×10−3
    q105.9×10−48.1×10−4q222.5×10−44.5×10−4
    q114.0×10−46.0×10−4q231.4×10−32.6×10−3
    q121.0×10−53.0×10−5q244.2×10−34.8×10−3
    下载: 导出CSV

    表  3  底事件区间重要度计算结果

    Table  3.   Calculation results of the interval importance degree of the bottom event

    底事件EiDi底事件EiDi
    X12.95×10−59.77×10−6X136.70×10−49.70×10−5
    X21.97×10−43.89×10−5X146.89×10−41.16×10−4
    X32.07×10−42.90×10−5X153.94×10−59.75×10−6
    X42.95×10−44.85×10−5X166.50×10−41.16×10−4
    X51.48×10−41.93×10−5X173.15×10−45.83×10−5
    X66.01×10−41.07×10−4X181.18×10−43.91×10−5
    X71.67×10−41.93×10−5X194.43×10−49.75×10−5
    X81.97×10−59.80×10−6X201.38×10−31.94×10−4
    X95.91×10−49.71×10−5X216.90×10−49.70×10−5
    X106.90×10−41.07×10−4X223.45×10−49.77×10−5
    X114.92×10−49.73×10−5X231.97×10−35.88×10−4
    X121.97×10−59.80×10−6X244.45×10−32.87×10−4
    下载: 导出CSV
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  • 收稿日期:  2022-05-27
  • 修回日期:  2022-08-11
  • 网络出版日期:  2022-08-09

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