Abstract

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.

Highlights

  • The basin insulator is an important part of the GIS that supports the busbar and isolates the gas chamber and is critical to the safety of the entire equipment

  • In response to the “ringing effect” caused by the Wiener filtering method in the 3D block matching algorithm, an improved Kalman filtering method based on anisotropic diffusion is proposed, which avoids the ringing effect, and the edges are clear, and the details are complete

  • To make up for the above shortcomings of Wiener filtering, an improved Kalman filtering method based on anisotropic diffusion is proposed as a secondary denoising method in the BM3D method, which can effectively avoid the “ringing effect” and make it more suitable for denoising X-ray images

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Summary

Introduction

The basin insulator is an important part of the GIS that supports the busbar and isolates the gas chamber and is critical to the safety of the entire equipment. The use of X-ray visual NDT technology for monitoring the operating status of power equipment is an electric detection method developed in recent years that does not require contact, and this method can be used to obtain information on the internal structure of GIS equipment without. With the rapid development of information technology, the high combination of digital electronics and wireless communication technology has realized multifunctional sensor nodes with relatively small size and low power consumption [3]. These tiny sensor nodes are composed of sensing components, data processing components, and communication components, and communication between nodes is nonblocking over short distances, and many nodes can work together using a sensor network approach. A specific wireless sensor network monitoring system is built, and the prediction of the system routing node dormancy time and dynamic duty cycle are tested, respectively, to verify its correctness

Current Status of Research
Wireless Basin Insulator Image Sensing XRay Inspection Technology Design
Design of sensor or nodes
Analysis of Results
Findings
Conclusion
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