High-voltage shell discharge insulation performance detection system based on multi-mode texture analysis

Abstract

The invention relates to the field of artificial intelligence, in particular to a high-voltage shell discharge insulation performance detection system based on multi-mode texture analysis. The image acquisition module is used for processing the acquired thermal infrared image to obtain a plurality of real connected domains; the real connected domain division module is used for calculating a real connected domain temperature anomaly rate; the depth anomaly rate of the real connected domain is calculated, and the real connected domain is divided into a discharge connected domain and a non-discharge connected domain; the distribution coefficient calculation module is used for calculating the distribution coefficients of the discharge connected domain and the non-discharge connected domain, the discharge coefficient determination module is used for calculating the discharge coefficient of the high-voltage shell, and the prevention coefficient determination module is used for calculating the prevention coefficient of the high-voltage shell; and the evaluation module is used for establishing a two-tuple to evaluate the discharge insulation performance. According to the invention, different image data of the high-voltage shell are collected for multi-modal analysis, and accurate discharge insulation performance can be obtained.

Description

technical field [0001] The invention relates to the field of artificial intelligence, in particular to a detection system for high-voltage housing discharge insulation performance based on multi-modal texture analysis. Background technique [0002] The high-voltage shell is one of the upper shells of gas-insulated metal-enclosed switchgear (GIS), and it is an extremely important part. The parts work normally under high voltage without affecting each other, and realize the effective and safe connection between the functional components of GIS equipment, so the insulation performance needs to be guaranteed. [0003] At present, the insulation performance testing of high-voltage shells is mainly carried out manually or by instruments, but the efficiency of manual testing is low, and the testing instruments are generally expensive and costly; the existing technology uses techniques such as threshold segmentation to detect surface defects. Testing is carried out to determine its...

AI Technical Summary

Problems solved by technology

[0005] The invention provides a high-voltage housing discharge insulation performance detection system based on multi-modal texture analysis to solve the existing problems, including: an image acquisition module, which processes the collected thermal infrared images to obtain multiple real connected domains; The real connected domain division module calculates the abnormal temperature rate of the real connected domain; calculates the abnormal depth rate of the real connected domain and divides the real connected domain into discharged connected domain and undischarged connected domain; the distribution coefficient calculation module calculates discharged connected domain and undischarged connected domain The distribution coefficient of the domain, the discharge coefficient determination module, calculates the discharge coefficient of the high-voltage shell, and the prevention coefficient determination module, calculates the high-voltage shell prevention coefficient; the evaluation module, establishes a binary group to evaluate the discharge insulation performance

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