工业仪表与自动化装置2024,Issue(1) :18-21.DOI:10.19950/j.cnki.CN61-1121/TH.2024.01.004

双通道周期信号分离装置的设计与实现

Design and implementation of a dual channel periodic signal separation device

曹胜 陈嘉强 李佳豪 高红霞 薛欣
工业仪表与自动化装置2024,Issue(1) :18-21.DOI:10.19950/j.cnki.CN61-1121/TH.2024.01.004

双通道周期信号分离装置的设计与实现

Design and implementation of a dual channel periodic signal separation device

曹胜 1陈嘉强 1李佳豪 1高红霞 1薛欣1
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作者信息

  • 1. 太原学院智能与自动化系,山西太原 030032
  • 折叠

摘要

基于解决现代工业生产中复杂信号分析难题的目标,该研究采用了创新性的"双通道周期信号分离装置".该装置在工业仪表、控制系统和传感器等领域广泛应用,能高效精准地分离多频率、多波形混合信号.面对工业环境中频率和波形多样的挑战,该研究结合STM32平台,成功实现对周期信号A和B的准确分离和还原.装置工作原理简明清晰,信号经过预处理模块消除直流成分后,经STM32智能核心板时域离散采样和傅里叶变换等处理,实现对信号频谱特征的识别.信号再构模块则采用频率相位可编程信号发生器,对信号进行再构,最终实现双通道周期信号的精确分离.经过实验测试,装置在叠加信号测试中表现出色,成功分离多种信号组合,验证了其高效性与精确性.

Abstract

In the pursuit of addressing the intricate complexities in signal analysis within contempora-ry industrial manufacturing,this study introduces an innovative solution-the"Dual-Channel Periodic Signal Separation Device."This apparatus finds widespread utility across industrial instrumentation,con-trol systems,and sensing applications,efficiently and accurately dissecting amalgamated signals of di-verse frequencies and waveforms.Confronting the multifaceted challenges posed by varying frequencies and waveforms in industrial contexts,this investigation synergizes the STM32 platform to successfully achieve precise separation and reconstitution of periodic signals A and B.The operational mechanism of the device is presented succinctly and lucidly:signals undergo a preprocessing stage to eliminate direct current(DC)components.Subsequently,via STM32's intelligent core board,temporal-domain discrete sampling and Fourier transformation are employed to discern the spectral attributes of the signal.The sig-nal reconstruction module capitalizes on a programmable frequency-phase signal generator,orchestrating signal reconstitution and ultimately attaining meticulous dual-channel periodic signal separation.

关键词

周期信号分离装置/工业应用/STM32/信号处理/频谱分析

Key words

periodic signal separation device/industrial applications/STM32/signal processing/spectrum analysis

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出版年

2024
工业仪表与自动化装置
陕西鼓风机(集团)有限公司

工业仪表与自动化装置

CSTPCD
影响因子:0.393
ISSN:1000-0682
参考文献量9
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