The invention discloses an insulator thermal imaging real-time diagnosis system based on edge calculation

Abstract

The invention discloses an insulator thermal imaging real-time diagnosis system based on edge calculation. The insulator thermal imaging real-time diagnosis system comprises an edge node module, an edge calculation module, a light-weight cloud platform module and a mobile control end module. The system is high in practicability, the edge node module provides a data source for the insulator diagnosis system, the edge calculation module provides a main data storage and calculation function, the light-weight cloud platform module provides a communication and storage function for the insulator diagnosis system, and the mobile control end module mainly performs control operation on each module. The system is high in innovativeness, the edge operation is applied to the field of insulator diagnosis for the first time, so that the burden of a cloud center is reduced, quick real-time response is realized, a thermal imaging picture is adopted as a diagnosis basis, the diagnosis scientificity isensured, an advanced deep learning algorithm is packaged, and the diagnosis accuracy is improved.

Description

technical field [0001] The invention relates to the field of electric equipment diagnosis and the field of edge computing, in particular to an insulator thermal imaging real-time diagnosis system. Background technique [0002] Insulator strings are widely used in high-voltage transmission lines. They have the functions of supporting lines and electrical insulation, and are indispensable components of power transmission systems. If the insulator string is damaged, such as glass insulator self-explosion, it will lose its function, affect the power supply and cause series failure. Therefore, regular inspection and rapid diagnosis of insulator strings are of great significance to the stable operation of the transmission system. At present, the main method is to use helicopters or drones to obtain aerial images, and then diagnose the faults of the insulator strings in the images. However, the background of aerial images is generally complex and the image quality is unstable, res...

AI Technical Summary

Problems solved by technology

[0006] 1. Due to the use of general aerial images, the diagnosis of insulators stays between the two apparent states of health and damage, and cannot gain insight into its essential process;

[0007] 2. The response time of the system relying on cloud computing is long, and the diagnosis efficiency is low;

[0008] 3. The combination of traditional algorithms and deep learning algorithms is often used, and the accuracy rate is not high

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