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 as figure 1 Among them, an artificial intelligence-based infrared image detection method for substation insulators includes the following steps:
[0037] S1. Obtain the infrared image of the substation insulator through the 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 substation technicians on-site with a handheld infrared thermal imager or by an inspection robot carrying an infrared thermal imager in the substation.
[0039] S2. Preprocessing the acquired image to form an effective insulator infrared image data set;
[0040] S3. Perform target label processing on the acquired data set;
[0041] In an optional solution, the acquired data set is preprocessed by methods including rotation, flipping, grayscale transformation, etc. to expand the data set to form a data set applied to the model;
[0042] The insulators in the data set are marked through t...
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