北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (1): 93-101.doi: 10.13190/j.jbupt.2018-127

• 研究报告 • 上一篇    下一篇

工业场景电磁噪声测量及建模分析

袁泽, 刘留, 张琨   

  1. 北京交通大学 电子信息工程学院, 北京 100044
  • 收稿日期:2018-06-14 出版日期:2019-02-28 发布日期:2019-03-08
  • 通讯作者: 刘留(1981-),男,教授,博士生导师,E-mail:liuliu@bjtu.edu.cn. E-mail:liuliu@bjtu.edu.cn
  • 作者简介:袁泽(1994-),男,硕士生.
  • 基金资助:
    泛网无线通信教育部重点实验室(北京邮电大学)基金项目(KFKT-2018105);北京市科技新星计划项目(Z161100004916068);国家自然科学基金面上项目(61471027)

Measurement and Modeling of Electromagnetic Noise in Industrial Environments

YUAN Ze, LIU Liu, ZHANG Kun   

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2018-06-14 Online:2019-02-28 Published:2019-03-08
  • Supported by:
     

摘要: 工厂环境的电磁噪声会对以低功耗无线传感设备为核心的工业物联网技术产生巨大的影响.为此,应用对数周期天线与频谱仪,从时域和频域2个角度在某汽车厂的焊接车间和办公区测量电磁噪声.频域测量得到了0.3~3 GHz频段工厂中电磁噪声的频点、功率等信息,噪声频谱呈现尖峰形状,可运用截断拉普拉斯分布进行建模分析.时域测量采集了315、779、916 MHz几个频点的噪声数据,提取了噪声的幅度概率分布、脉冲持续时间分布、脉冲间隔时间分布3个参数.测量结果表明,天线水平、垂直极化方式测得噪声信号相近;办公区受噪声影响比焊接车间内部小.

关键词: 工业物联网, 电磁噪声, 截断拉普拉斯分布

Abstract: Factory-level electromagnetic noise has a huge impact on industrial Internet of things which mainly uses low-power wireless sensor devices. For this reason, a log periodic antenna and a spectrum analyzer are used to measure the electromagnetic noise in the welding workshop and the office area of a car factory. We obtain the frequency, power and other information of electromagnetic noise in 0.3~3 GHz bands from the frequency domain measurement. The noise spectrum shows a spike shape, and the truncated Laplace distribution can be used for modeling. In time domain measurement, the noise data of 315 MHz, 779 MHz and 916 MHz are collected, and we also get the three parameters of amplitude probability distribution, pulse duration distribution and pulse separation distribution. The measurement results indicate that the results of horizontal and vertical polarization are similar. The influence of noise in the office area is less than that in the welding workshop.

Key words: industrial Internet of things, electromagnetic noise, truncated Laplace distribution

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