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
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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
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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

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    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.
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出版历程
  • 刊出日期:  2021-07-19

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