Insulator pollution component identification method based on microscopic hyperspectral technology

An identification method and technology for insulators, which are used in optical testing flaws/defects, image data processing, instruments, etc., can solve the problems of inability to observe the distribution of contamination components on the surface of insulators, and the operation process is cumbersome, so as to eliminate light source inhomogeneity and operation process Simple, noise-removing effects from images

CN110261405AActive Publication Date: 2019-09-20SOUTHWEST JIAOTONG UNIV +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-09-20

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Abstract

The invention discloses an insulator pollution component identification method based on a microscopic hyperspectral technology, and belongs to the technical field of power transmission and transformation equipment operation state maintenance. The method comprises the steps of: obtaining a microscopic hyperspectral image of pollution samples of a pollution accumulation insulator, and dividing the microscopic hyperspectral image into a first map set and a second map set; respectively extracting hyperspectral spectral lines of mixed components of the pollution samples in the first map set and the second map set; separating the pollution components of the pollution samples, performing microscopic hyperspectral imaging on each pollution component, and establishing a pollution component spectrum library; establishing a pollution component identification model based on the pollution component spectrum library and the hyperspectral spectral lines of the pollution sample mixed components corresponding to the first map set, taking the hyperspectral spectral lines of the pollution sample mixed components corresponding to the second map set as a test set, and inputting the test set into the pollution component identification model for optimization. The method achieves microscopic detection of the insulator pollution components, is simple in operation process, is beneficial to identification of the pollution components, and can observe the distribution of the pollution components on the surface of the insulator.
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Description

technical field

[0001] The invention relates to the technical field of operating state maintenance of power transmission and transformation equipment, in particular to a method for identifying contamination components of insulators based on microscopic hyperspectral technology. Background technique

[0002] The difference in pollution composition of transmission line insulators will affect its flashover voltage: the pollution of insulators with the same gray density and different composition has different effects on flashover voltage; The flashover characteristics of insulator strings, and the thermal decomposition characteristics and insoluble properties of some special components have a significant impact on the flashover voltage of insulators. Therefore, accurate identification of the pollution components of insulators is of great significance for evaluating the insulation state of insulators.

[0003] At present, X-ray Energy Spectroscopy (EDS) detection methods, X-ray P...

Examples

Embodiment

[0041] Such as figure 1 As shown, the embodiment of the present invention discloses a method for identifying pollution components of insulators based on microscopic hyperspectral technology, including the following steps:

[0042] S1: Select the sampling area, disassemble part of the insulators and bring them back and record their picking positions, windward side, leeward side and other information one by one, cut the insulating sheet to get the dirty sample of the polluted insulator, and obtain the microscopic hyperspectral image, according to the statistical law (Statistical law is an expression of the classification training set and test set, such as trying to make the data balance when dividing, not excessively tilted, etc.) Divided into the first atlas set and the second atlas set;

[0043] Correction processing, choose the black and white correction method, the formula is:

[0044]

[0045] In the formula, R ci Image data corrected for black and white; Sample ciis ...