留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于数组的刮板输送机运载模型及煤量计算算法研究

尹瑞 张冬雪 倪强

尹瑞,张冬雪,倪强. 基于数组的刮板输送机运载模型及煤量计算算法研究[J]. 工矿自动化,2024,50(8):84-90.  doi: 10.13272/j.issn.1671-251x.2024070052
引用本文: 尹瑞,张冬雪,倪强. 基于数组的刮板输送机运载模型及煤量计算算法研究[J]. 工矿自动化,2024,50(8):84-90.  doi: 10.13272/j.issn.1671-251x.2024070052
YIN Rui, ZHANG Dongxue, NI Qiang. Research on the transportation model and coal quantity calculation algorithm of scraper conveyor based on array[J]. Journal of Mine Automation,2024,50(8):84-90.  doi: 10.13272/j.issn.1671-251x.2024070052
Citation: YIN Rui, ZHANG Dongxue, NI Qiang. Research on the transportation model and coal quantity calculation algorithm of scraper conveyor based on array[J]. Journal of Mine Automation,2024,50(8):84-90.  doi: 10.13272/j.issn.1671-251x.2024070052

基于数组的刮板输送机运载模型及煤量计算算法研究

doi: 10.13272/j.issn.1671-251x.2024070052
基金项目: 国家重点研发计划项目(2017YFF0210606)。
详细信息
    作者简介:

    尹瑞(1991—),男,河北宣化人,工程师,硕士,主要研究方向为煤矿自动化,E-mail:384042235@qq.com

  • 中图分类号: TD634.2

Research on the transportation model and coal quantity calculation algorithm of scraper conveyor based on array

  • 摘要: 目前针对煤量检测的研究大多侧重于煤矿井下带式输送机的煤量检测和识别,对综采(放)工作面刮板输送机的煤量检测仅停留在转载机处安装红外扫描装置,检测技术单一,且由于转载机位于刮板输送机卸煤处,红外扫描装置检测的是转载机的载煤量,不能直接反映刮板输送机上的实时载煤量,存在较大滞后性。针对上述问题,提出一种基于数组的刮板输送机运载模型及煤量计算算法。该算法将刮板输送机设定为连续装煤的载体,通过连续数组建立刮板输送机运载模型,并表征单位长度的装煤量,结合综采(放)工作面采煤机运行速度、滚筒高度、截割深度、位置及刮板输送机运行速度与装煤系数等参数,通过多参数数学建模的方法,实现对刮板输送机单位煤量的实时模拟,进而直观反映煤矿井下采煤工艺并准确计算出刮板输送机的实时载煤量。井下工业性试验结果表明,该算法连续可靠,可以精确计算出刮板输送机实时载煤量,载煤量分布接近于理想状态,具有较高的收敛性和鲁棒性。

     

  • 图  1  刮板输送机模型

    Figure  1.  Scraper conveyor model

    图  2  刮板输送机煤量分布模型

    Figure  2.  Coal quantity distribution model of scraper conveyor

    图  3  刮板输送机运煤模型1

    Figure  3.  The first coal transportation model of scraper conveyor

    图  4  刮板输送机运煤模型2

    Figure  4.  The second coal transportation model of scraper conveyor

    图  5  刮板输送机运煤模型3

    Figure  5.  The third coal transportation model of scraper conveyor

    图  6  刮板输送机运煤模型4

    Figure  6.  The fourth coal transportation model of scraper conveyor

    图  7  刮板输送机运煤模型5

    Figure  7.  The fifth coal transportation model of scraper conveyor

    图  8  刮板输送机煤量计算流程

    Figure  8.  Calculation flow of coal quantity of scraper conveyor

    图  9  理论煤量与红外煤量检测装置测出的煤量对比

    Figure  9.  Comparison of theoretical coal quantity and coal quantity measured by infrared coal quantity detection device

    图  10  刮板输送机集中控制系统平台

    Figure  10.  Centralized control system platform of scraper conveyor

    图  11  刮板输送机集中控制系统平台主界面

    Figure  11.  The main interface of centralized control system platform of scraper conveyor

    图  12  理论煤量与本文算法计算出的煤量对比

    Figure  12.  Comparison between theoretical coal quantity and the coal quantity calculated by the algorithm in this article

  • [1] 董立红,宋伟思,符立梅. 基于双目视觉的动态煤量测量方法[J]. 煤炭科学技术,2022,50(8):196-203.

    DONG Lihong,SONG Weisi,FU Limei. Dynamic coal quantity measurement method based on binocular vision[J]. Coal Science and Technology,2022,50(8):196-203.
    [2] 代伟,赵杰,杨春雨,等. 基于双目视觉深度感知的带式输送机煤量检测方法[J]. 煤炭学报,2017,42(增刊2):547-555.

    DAI Wei,ZHAO Jie,YANG Chunyu,et al. Detection method of coal quantity in belt conveyor based on binocular vision depth perception[J]. Journal of China Coal Society,2017,42(S2):547-555.
    [3] 王凯. 基于刮板输送机负载预测的采煤机调速技术研究[D]. 徐州:中国矿业大学,2015.

    WANG Kai. Research on shearer speed control technology based on scraper conveyor load Prediction[D]. Xuzhou:China University of Mining and Technology,2015.
    [4] 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.

    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.
    [5] 韩涛,黄友锐,张立志,等. 基于图像识别的带式输送机输煤量和跑偏检测方法[J]. 工矿自动化,2020,46(4):17-22.

    HAN Tao,HUANG Yourui,ZHANG Lizhi,et al. Detection method of coal quantity and deviation of belt conveyor based on image recognition[J]. Industry and Mine Automation,2020,46(4):17-22.
    [6] 郝洪涛,杨庭杰,张超. 基于负载估计的带式输送机系统节能控制方法研究[J]. 煤炭科学技术,2021,49(7):139-146.

    HAO Hongtao,YANG Tingjie,ZHANG Chao. Research on energy saving control method of belt conveyor system based on load estimation[J]. Coal Science and Technology,2021,49(7):139-146.
    [7] 胡而已. 基于激光扫描的综放工作面放煤量智能监测技术[J]. 煤炭科学技术,2022,50(2):244-251.

    HU Eryi. Intelligent monitoring technology of coal caving in fully-mechanized caving face based on laser scanning[J]. Coal Science and Technology,2022,50(2):244-251.
    [8] 陈湘源,薛旭升. 基于线性模型划分的煤流体积测量[J]. 工矿自动化,2023,49(7):35-40,106.

    CHEN Xiangyuan,XUE Xusheng. Coal flow volume measurement based on linear model partitioning[J]. Journal of Mine Automation,2023,49(7):35-40,106.
    [9] 张克亮. 基于MT−CNN的矿井带式输送机输煤量检测技术[J]. 中国矿业,2024,33(6):137-142. doi: 10.12075/j.issn.1004-4051.20230577

    ZHANG Keliang. Coal conveying quantity detection of mine belt conveyor based on MT-CNN[J]. China Mining Magazine,2024,33(6):137-142. doi: 10.12075/j.issn.1004-4051.20230577
    [10] 刘永刚,杨茗迪. 智能刮板输送机控制系统的应用研究[J]. 煤矿机械,2016,37(12):27-29.

    LIU Yonggang,YANG Mingdi. Application research on intelligent scraper conveyor control system[J]. Coal Mine Machinery,2016,37(12):27-29.
    [11] 王利栋. 综放工作面放煤量激光扫描监测三维重建方法研究[J]. 煤炭工程,2022,54(5):125-130.

    WANG Lidong. Three-dimensional reconstruction method of coal flow laser scanning monitoring[J]. Coal Engineering,2022,54(5):125-130.
    [12] 孙鹏亮,吴少伟. 基于红外扫描装置的转载机煤量监测技术研究[J]. 数字通信世界,2022(8):63-65.

    SUN Pengliang,WU Shaowei. Research on infrared scanning technology of coal transfer machine[J]. Digital Communication World,2022(8):63-65.
    [13] 刘飞,张乐群,蒋伟,等. 基于深度图像的带式输送机煤量检测方法[J]. 西安科技大学学报,2023,43(5):1008-1014.

    LIU Fei,ZHANG Lequn,JIANG Wei,et al. Coal quantity detection of belt conveyor based on depth image[J]. Journal of Xi'an University of Science and Technology,2023,43(5):1008-1014.
    [14] 胡而已,叶兰,孙益壮,等. 综放工作面放煤量激光扫描自适应监测技术研究[J]. 中国煤炭,2022,48(11):57-66.

    HU Eryi,YE Lan,SUN Yizhuang,et al. Study on laser scanning adaptive monitoring technology for coal caving volume in fully mechanized top-coal caving face[J]. China Coal,2022,48(11):57-66.
    [15] 张耀. 煤矿运输系统煤量激光三角法监测技术研究[D]. 徐州:中国矿业大学,2022.

    ZHANG Yao. Study on monitoring technology of coal quantity by laser triangulation in coal mine transportation system[D]. Xuzhou:China University of Mining and Technology,2022.
    [16] 杨光耀,毛开江,胡而已,等. 过煤量激光图像智能监测技术研究[J]. 中国煤炭,2021,47(10):49-55.

    YANG Guangyao,MAO Kaijiang,HU Eryi,et al. Research on laser image intelligent monitoring technology for coal passing quantity[J]. China Coal,2021,47(10):49-55.
    [17] 彭丽,陈重,郝博南. 基于激光与视觉融合的煤量检测技术研究[J]. 煤炭技术,2023,42(3):259-263.

    PENG Li,CHEN Zhong,HAO Bonan. Research on coal quantity detection technology based on laser and vision fusion[J]. Coal Technology,2023,42(3):259-263.
    [18] 吕剑铎,贺振华,王新宇. 基于激光雷达的带式输送机煤量检测技术[J]. 煤炭工程,2021,53(增刊1):54-59.

    LYU Jianduo,HE Zhenhua,WANG Xinyu. Coal quantity detection of belt conveyor based on laser radar[J]. Coal Engineering,2021,53(S1):54-59.
    [19] 李学晖. 基于机器视觉和深度学习的带式输送机煤量识别方法研究[D]. 邯郸:河北工程大学,2022.

    LI Xuehui. Research on coal quantity identification method of belt conveyor based on machine vision and deep learning[D]. Handan:Hebei University of Engineering,2022.
    [20] 崔振国. 基于机器视觉的带式输送机煤量监测系统研究[D]. 徐州:中国矿业大学,2021.

    CUI Zhenguo. Study on coal quantity monitoring system of belt conveyor based on machine vision[D]. Xuzhou:China University of Mining and Technology,2021.
    [21] 贺杰,王桂梅,刘杰辉,等. 基于图像处理的皮带机上煤量体积计量[J]. 计量学报,2020,41(12):1516-1520.

    HE Jie,WANG Guimei,LIU Jiehui,et al. volume measurement of coal volume on belt conveyor based on image processing[J]. Acta Metrologica Sinica,2020,41(12):1516-1520.
  • 加载中
图(12)
计量
  • 文章访问数:  117
  • HTML全文浏览量:  44
  • PDF下载量:  10
  • 被引次数: 0
出版历程
  • 收稿日期:  2024-07-14
  • 修回日期:  2024-08-13
  • 网络出版日期:  2024-08-12

目录

    /

    返回文章
    返回