矿用带式输送机托辊运行状态监测系统

姜阔胜, 毛中元, 谢有浩, 卞士军, 周远远, 郭帅, 胡坤

姜阔胜，毛中元，谢有浩,等.矿用带式输送机托辊运行状态监测系统［J］.工矿自动化，2021,47（7）：45-49.. DOI: 10.13272/j.issn.1671-251x.2021040100
引用本文: 姜阔胜，毛中元，谢有浩,等.矿用带式输送机托辊运行状态监测系统［J］.工矿自动化，2021,47（7）：45-49.. DOI: 10.13272/j.issn.1671-251x.2021040100
shu
JIANG Kuosheng, MAO Zhongyuan, XIE Youhao, BIAN Shijun, ZHOU Yuanyuan, GUO Shuai, HU Kun. Mine belt conveyor roller operation condition monitoring system[J]. Journal of Mine Automation, 2021, 47(7): 45-49. DOI: 10.13272/j.issn.1671-251x.2021040100
Citation: JIANG Kuosheng, MAO Zhongyuan, XIE Youhao, BIAN Shijun, ZHOU Yuanyuan, GUO Shuai, HU Kun. Mine belt conveyor roller operation condition monitoring system[J]. Journal of Mine Automation, 2021, 47(7): 45-49. DOI: 10.13272/j.issn.1671-251x.2021040100
shu

矿用带式输送机托辊运行状态监测系统

  • 1.

    安徽理工大学 机械工程学院， 安徽 淮南232001

  • 2.

    安徽理工大学 深部煤矿采动响应与灾害防控国家重点实验室， 安徽 淮南232001

  • 3.

    陕汽淮南专用汽车有限公司博士后工作站， 安徽 淮南232001

  • 4.

    滁州学院 机械与电气工程学院， 安徽 滁州239000

  • 5.

    平安开诚智能安全装备有限责任公司， 安徽 淮南232001

详细信息

  • 中图分类号: TD634.1

Mine belt conveyor roller operation condition monitoring system

  • 1.

    School of Mechanical Engineering, Anhui University of Science and Technology, Huainan 232001, China

  • 2.

    State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mine, Anhui University of Science and Technology, Huainan 232001, China

  • 3.

    Post Doctoral Workstation of Shanqi Automobile Huainan Special Purpose Vehicle Co., Ltd., Huainan 232001, China

  • 4.

    School of Mechanical and Electrical Engineering, Chuzhou University, Chuzhou 239000, China

  • 5.

    Ping''an Kaicheng Intelligent Safety Equipment Co., Ltd., Huainan 232001, China

摘要

    摘要
  • 摘要: 以人工巡检和振动信号诊断为主的带式输送机托辊故障监测无法保证高可靠性和实时性，因此采用电力线载波通信方式传输带式输送机托辊运行数据；传统的电力线载波通信是侵入式的，且需要定期更换电池。针对上述问题，提出了一种基于自供电和非侵入式电力线载波通信的矿用带式输送机托辊运行状态监测系统。该系统由发送端、接收端和127 V照明电力线组成。发送端安装于带式输送机托辊处，采用FPGA作为核心控制器，对托辊运行时产生的音频信号进行采集并调制成高频信号，通过电感耦合器将高频信号耦合入照明电力线中，实现非侵入式电力线载波通信；接收端安装于地面控制室，实现照明电力线中信号的解耦、解调、还原；对采集的原始音频信号和还原的音频信号进行皮尔逊相关系数分析，确认还原的音频信号的准确性后进行倒谱分析，从而判断托辊故障。实验结果表明，该系统能准确诊断带式输送机托辊故障。
    Abstract: The belt conveyor roller fault monitoring based on manual inspection and vibration signal diagnosis cannot guarantee high reliability and real-time performance. Therefore, power line carrier communication is used to transmit belt conveyor roller operation data. The traditional power line carrier communication is intrusive and requires regular battery replacement. In order to solve the above problems, a mine belt conveyor roller operation condition monitoring system based on self-powered and non-intrusive power line carrier communication is proposed. The system consists of transmitter, receiver and 127 V lighting power line. The transmitter is installed at the belt conveyor rollers, and FPGA is used as the core controller to collect and modulate the audio signals that generated during the operation of the rollers into high-frequency signals. The high-frequency signal is coupled into the lighting power line through an inductive coupler so as to realize non-intrusive power line carrier communication. The receiver is installed in the ground control room to realize the decoupling, demodulation, and restoration of the signal in the lighting power line. Pearson correlation coefficient analysis is performed on the collected original audio signal and the restored audio signal. After confirming the accuracy of the restored audio signal, the cepstral analysis is performed so as to judge the fault of the rollers. The experimental results show that the system can accurately diagnose the fault of belt conveyor rollers.
    • HTML全文
    • 参考文献(0)
    • 相关文章
    • 施引文献(26)

  • 期刊类型引用(16)

    1. 陈颖俊，霍瑜斌，施江峰，姚斌. 基于压电传感的水泵机组运行状态监测方法. 云南水力发电. 2025(01): 131-134 . 百度学术
    2. 武晓莉. 矿用带式输送机运行状态监测系统应用. 机械管理开发. 2024(08): 249-251 . 百度学术
    3. 梁堃，王驰. 基于分布式光纤声波传感器的带式输送机托辊故障监测方法. 激光与光电子学进展. 2023(09): 276-284 . 百度学术
    4. 高波，袁媛，岳伟，张鑫增. 基于机器学习的托辊故障等级评价模型研究. 物流科技. 2023(13): 32-35 . 百度学术
    5. 吴云雁. 矿用带式输送机故障监测与诊断系统设计. 陕西煤炭. 2023(04): 120-123+135 . 百度学术
    6. 杨杰. 煤矿主运输长距离带式输送机托辊安装工艺研究. 煤矿机械. 2023(09): 101-105 . 百度学术
    7. 邵斌，王磊，黄瀚. 煤矿井下带式输送机智能视频远程巡检系统设计. 煤矿机械. 2023(12): 198-200 . 百度学术
    8. 李敬兆，孙杰臣，叶桐舟. 矿井带式输送机运行状态预测方法. 工矿自动化. 2022(02): 107-113 . 本站查看
    9. 宋超. 掘进巷道带式输送机常见故障及处理措施. 现代机械. 2022(01): 100-102 . 百度学术
    10. 吴琦. 矿用皮带输送机托辊运行监测技术研究. 机械管理开发. 2022(01): 133-134+142 . 百度学术
    11. 李超. 带式输送机自动巡检装置的设计及现场调试试验. 机械管理开发. 2022(04): 52-53+56 . 百度学术
    12. 岳涛. 带式输送机托辊健康监测分析研究. 机械管理开发. 2022(07): 298-299+302 . 百度学术
    13. 叶涛，王起，张弛. 带式输送机可视化监测系统研究与实现. 起重运输机械. 2022(19): 42-46 . 百度学术
    14. 郝晓平. 带式输送机托辊故障检测技术研究. 机械管理开发. 2022(12): 121-122+125 . 百度学术
    15. 王海军，王洪磊. 带式输送机智能化关键技术现状与展望. 煤炭科学技术. 2022(12): 225-239 . 百度学术
    16. 吕超. 带式输送机自动调心托辊的优化设计探析. 机械管理开发. 2021(12): 66-67+70 . 百度学术

    其他类型引用(10)

    • 资源附件(0)
计量
  • 文章访问数:  227
  • HTML全文浏览量:  14
  • PDF下载量:  26
  • 被引次数: 26
出版历程
  • 刊出日期:  2021-07-19

目录

摘要
HTML全文
    参考文献(0)
    相关文章
    施引文献
    资源附件(0)

    /

    返回文章
    返回

    苏ICP备 05016349号-2

    本系统由 北京仁和汇智信息技术有限公司 开发  访问量：1163710    百度统计