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基于超声阵列的输送带动态煤量检测系统

郝洪涛 王凯 丁文捷

郝洪涛,王凯,丁文捷. 基于超声阵列的输送带动态煤量检测系统[J]. 工矿自动化,2023,49(4):120-127.  doi: 10.13272/j.issn.1671-251x.2022080048
引用本文: 郝洪涛,王凯,丁文捷. 基于超声阵列的输送带动态煤量检测系统[J]. 工矿自动化,2023,49(4):120-127.  doi: 10.13272/j.issn.1671-251x.2022080048
HAO Hongtao, WANG Kai, DING Wenjie. A dynamic coal quantity detection system for conveyor belt based on ultrasonic array[J]. Journal of Mine Automation,2023,49(4):120-127.  doi: 10.13272/j.issn.1671-251x.2022080048
Citation: HAO Hongtao, WANG Kai, DING Wenjie. A dynamic coal quantity detection system for conveyor belt based on ultrasonic array[J]. Journal of Mine Automation,2023,49(4):120-127.  doi: 10.13272/j.issn.1671-251x.2022080048

基于超声阵列的输送带动态煤量检测系统

doi: 10.13272/j.issn.1671-251x.2022080048
基金项目: 宁夏自然科学基金项目(2021AAC03046)。
详细信息
    作者简介:

    郝洪涛(1976—),男,宁夏银川人,副教授,博士,从事机电设备健康监测及智能控制、车辆先进控制技术等方面的研究工作,E-mail:haoht_03@126.com

    通讯作者:

    王凯(1998—),男,山东滨州人,硕士,研究方向为机电设备智能监测与控制,E-mail:wk980225@163.com

  • 中图分类号: TD634

A dynamic coal quantity detection system for conveyor belt based on ultrasonic array

  • 摘要: 输送带动态煤量检测是实现顺煤流启动和自动调速等多级带式输送机能耗优化措施的基础和关键。针对现有基于超声波的煤量检测方法精度较低、多超声波传感器之间易受干扰等问题,设计了基于超声阵列的输送带动态煤量检测系统。利用超声波测距原理,通过超声阵列实时检测各超声波传感器阵元对应检测点的煤料高度,采用横截面切片法计算单位时间内输送带上通过煤料的总体积,结合煤料堆积密度计算输送带实时煤流量及总煤量。为降低同频声波串扰及超声波在井下恶劣环境中衰减带来的误差,选用10路中心频率不同的超声波传感器阵元,布置为2×5线性阵列形式,通过多行超声波传感器对采集的煤高数据进行补偿,以提高煤高数据检测准确性。实时性分析结果表明,超声阵列检测速度在理论上满足带速为5 m/s的带式输送机煤量检测要求。实验结果表明:在0.125,0.170 m/s带速下,规则物料体积检测的平均相对误差分别为4.99%,5.16%;模拟实际工况条件下,煤量检测的平均相对误差为5.56%。在低带速状态下,该系统对规则物料和煤料的测量准确度达94%以上,基本实现了输送带动态煤量实时准确检测,满足带式输送机煤量检测需求。

     

  • 图  1  超声阵列

    Figure  1.  Ultrasonic array

    图  2  超声阵列工作截面

    Figure  2.  Working cross-section of ultrasonic array

    图  3  基于超声阵列的输送带动态煤量检测系统结构

    Figure  3.  Structure of dynamic coal quantity detection system for conveyor belt based on ultrasonic array

    图  4  超声阵列装置

    Figure  4.  Ultrasonic array device

    图  5  电控装置结构

    Figure  5.  Structure of electronic control device

    图  6  横截面切片法

    Figure  6.  Cross section slicing method

    图  7  煤料横截面积计算

    Figure  7.  Calculation of cross-sectional area of coal

    图  8  单超声波传感器检测

    Figure  8.  Single ultrasonic sensor detection

    图  9  超声阵列实验平台

    Figure  9.  Experimental platform of ultrasonic array

    图  10  被测物料

    Figure  10.  Tested material

    图  11  超声波传感器测试数据曲线

    Figure  11.  Test data curves of ultrasonic sensors

    图  12  实际工况模拟实验平台

    Figure  12.  Actual working condition simulation experimental platform

    图  13  模拟工况下超声波传感器测试数据曲线

    Figure  13.  Test data curves of ultrasonic sensors under simulated working condition

    表  1  超声波传感器关键技术指标

    Table  1.   Key technical indicators of ultrasonic sensors

    技术指标参数
    输入电压/V15~30
    输出电压/V0~10
    检测范围/mm50~1 000
    中心频率/kHz205,255,310,380,400
    声束角/(°)10
    分辨率/mm0.35
    下载: 导出CSV

    表  2  不同带速下横截面切片法测量结果

    Table  2.   Measurement results of cross section slicing method at different belt speeds

    物料
    编号
    带速为0.125 m/s带速为0.170 m/s
    物料体积
    测量值/m3
    绝对
    误差/m3
    相对
    误差/%
    物料体积
    测量值/m3
    绝对
    误差/m3
    相对
    误差%
    10.117 70.005 14.160.117 50.005 34.32
    20.105 70.005 75.690.105 90.005 95.92
    30.113 60.006 25.130.113 50.006 35.27
    40.083 60.004 44.970.083 50.004 55.12
    下载: 导出CSV

    表  3  模拟工况下总煤量检测结果

    Table  3.   Total coal quantity detection results under simulated working conditions

    实验编号总煤量测量值/kg绝对误差/kg相对误差/%
    123.7471.2475.54
    223.7831.2835.70
    323.7491.2495.55
    423.7061.2065.36
    523.7711.2715.65
    下载: 导出CSV
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  • 收稿日期:  2022-08-17
  • 修回日期:  2023-03-26
  • 网络出版日期:  2023-04-27

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