Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology

This paper presents an in-depth study and analysis of X-ray inspection of basin insulators by wireless sensing technology. Aiming at the characteristics of low contrast and many kinds of noise in the basin insulator ray image, this paper proposes an X-ray basin insulator image denoising method based...

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Autores principales: Chunjiang Yan, Liuxue Zhao
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Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/a50ca1b42ce645efb4e2dfd821688c3f
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spelling oai:doaj.org-article:a50ca1b42ce645efb4e2dfd821688c3f2021-11-08T02:36:42ZResearch on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology1687-726810.1155/2021/2483518https://doaj.org/article/a50ca1b42ce645efb4e2dfd821688c3f2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2483518https://doaj.org/toc/1687-7268This paper presents an in-depth study and analysis of X-ray inspection of basin insulators by wireless sensing technology. Aiming at the characteristics of low contrast and many kinds of noise in the basin insulator ray image, this paper proposes an X-ray basin insulator image denoising method based on improved 3D block matching. Using the RF microcontroller CC2530 chip as the core hardware and networked by ZigBee protocol, the sensor senses and collects various parameters and transmits this information to the monitoring end in real time through wireless. The method proposes an improved wavelet thresholding denoising method to overcome the pseudo-Gibbs phenomenon caused by the wavelet hard thresholding method in the 3D block matching algorithm cofiltering and retain more details of the image. Aiming at the ringing effect caused by the Wiener filtering method used in the three-dimensional block matching algorithm collaborative filtering, an improved Kalman filtering method based on anisotropic diffusion is proposed, which avoids the ringing effect, and has clear edges and complete details. An improved Kalman filtering method based on anisotropic diffusion is proposed to avoid the ringing effect, and the edges are clear, and the details are complete. The proposed method is a safe, efficient, accurate, and feasible method for detecting defects in basin insulators by combining X-ray and improved wireless image sensing technology to detect the internal equipment without disassembling or touching the GIS equipment.Chunjiang YanLiuxue ZhaoHindawi LimitedarticleTechnology (General)T1-995ENJournal of Sensors, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
spellingShingle Technology (General)
T1-995
Chunjiang Yan
Liuxue Zhao
Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology
description This paper presents an in-depth study and analysis of X-ray inspection of basin insulators by wireless sensing technology. Aiming at the characteristics of low contrast and many kinds of noise in the basin insulator ray image, this paper proposes an X-ray basin insulator image denoising method based on improved 3D block matching. Using the RF microcontroller CC2530 chip as the core hardware and networked by ZigBee protocol, the sensor senses and collects various parameters and transmits this information to the monitoring end in real time through wireless. The method proposes an improved wavelet thresholding denoising method to overcome the pseudo-Gibbs phenomenon caused by the wavelet hard thresholding method in the 3D block matching algorithm cofiltering and retain more details of the image. Aiming at the ringing effect caused by the Wiener filtering method used in the three-dimensional block matching algorithm collaborative filtering, an improved Kalman filtering method based on anisotropic diffusion is proposed, which avoids the ringing effect, and has clear edges and complete details. An improved Kalman filtering method based on anisotropic diffusion is proposed to avoid the ringing effect, and the edges are clear, and the details are complete. The proposed method is a safe, efficient, accurate, and feasible method for detecting defects in basin insulators by combining X-ray and improved wireless image sensing technology to detect the internal equipment without disassembling or touching the GIS equipment.
format article
author Chunjiang Yan
Liuxue Zhao
author_facet Chunjiang Yan
Liuxue Zhao
author_sort Chunjiang Yan
title Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology
title_short Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology
title_full Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology
title_fullStr Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology
title_full_unstemmed Research on X-Ray Inspection of Basin Insulators and Wireless Image Sensing Technology
title_sort research on x-ray inspection of basin insulators and wireless image sensing technology
publisher Hindawi Limited
publishDate 2021
url https://doaj.org/article/a50ca1b42ce645efb4e2dfd821688c3f
work_keys_str_mv AT chunjiangyan researchonxrayinspectionofbasininsulatorsandwirelessimagesensingtechnology
AT liuxuezhao researchonxrayinspectionofbasininsulatorsandwirelessimagesensingtechnology
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