Transformer substation insulator infrared image detection method based on artificial intelligence
An infrared image and detection method technology, which is applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve the problems of complex image data background, a lot of interference information, and poor detection results of insulator infrared images, and achieve a variety of improvements. performance, effective use of computing resources, and the effect of preventing training from overfitting
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[0036]Such asfigure 1 , An artificial intelligence-based infrared image detection method for substation insulators, including the following steps:
[0037]S1. Obtain infrared images of substation insulators through infrared thermal imager;figure 2 Shown in.
[0038]In a preferred solution, the acquired infrared image of the insulator is an infrared image obtained by a substation technician using a hand-held infrared thermal imager to shoot on-site or through an inspection robot carrying an infrared thermal imager in the substation.
[0039]S2. Preprocess the acquired images to form an effective infrared image data set of insulators;
[0040]S3. Perform target label processing on the acquired data set;
[0041]In an optional solution, the acquired data set is preprocessed by means of rotation, flipping, gray-scale transformation, etc. to expand the data set to form a data set applied to the model;
[0042]Mark the insulators in the data set through the box selection operation to make the data set to b...
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