Measurement based Characterization of Electromagnetic Noise for Industrial Internet of Things | Zendy

Ze Yuan | Zendy; Liu Liu | Zendy; Kun Zhang | Zendy; Zhang Jianhua | Zendy

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Measurement based Characterization of Electromagnetic Noise for Industrial Internet of Things

Author(s) -

Ze Yuan,

Liu Liu,

Kun Zhang,

Zhang Jianhua

Publication year - 2019

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2019.01.206

Subject(s) - computer science , noise (video) , industrial internet , factory (object oriented programming) , frequency domain , frequency band , electromagnetic environment , telecommunications , wireless , noise measurement , electromagnetic noise , time domain , amplitude , power (physics) , acoustics , electrical engineering , electronic engineering , internet of things , embedded system , bandwidth (computing) , artificial intelligence , noise reduction , physics , optics , engineering , image (mathematics) , quantum mechanics , programming language , computer vision

The Industrial Internet of Things (IIOT) can help the manufacturing enterprises improve the production efficiency, reduce costs and achieve intelligent factory production. In this harsh scenario, however, the electromagnetic noise performs a severe impact on IIOT which uses low-power wireless sensor devices. In this article, we aim to characterize electromagnetic noise for IIoT systems based on the realistic measurement data collected in an automobile factory. The measurements were taken in time and frequency domain into account. By using the frequency-domain measurement data, we can extract the frequency occupation and power amplitude information of electromagnetic noise in 300MHz~3GHz band. By using the time-domain measurement data, the amplitude probability distribution (APD) could be obtained of electromagnetic noise at 315MHz, 779MHz and 916MHz bands. Then, an improved bell shaped spectrum is used to characterize the frequency spectrum of wide band electromagnetic noise.

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