Nuclear power pipeline defect detection method based on multi-scale pyramid structure

Abstract

The invention discloses a nuclear power pipeline defect detection method based on a multi-scale pyramid structure. The method comprises the following steps: preprocessing a radiographic inspection negative image; constructing a full convolutional neural network, wherein the full convolutional neural network is of a feature pyramid structure, and the feature pyramid structure is divided into two parts from bottom to top and from top to bottom; selecting an Adam optimizer to perform gradient updating on the constructed full convolutional neural network, and then using a Focal Loss function to train the full convolutional neural network after gradient updating; and testing the trained full convolutional neural network, outputting a probability graph by the full convolutional neural network, and performing threshold binarization processing on the probability graph to obtain a binarized image of the defect area as a nuclear power pipeline defect detection result. The invention is applied toassisting film evaluation personnel in industrial production to quickly detect defect areas for classification and evaluation, the defect areas are quickly judged by analyzing digitally scanned flawdetection negative film images, the detection efficiency is improved, and the production time cost is saved.

Description

technical field [0001] The invention relates to a nuclear power pipeline defect detection. In particular, it involves a defect detection method for nuclear power pipelines based on a multi-scale pyramid structure. Background technique [0002] Nuclear energy is an economical, safe, reliable, and clean energy that only needs natural uranium as a resource, and theoretically will not cause greenhouse gas emissions and environmental pollution. To develop nuclear power, the safety issues of nuclear power plants must be properly resolved. Although strict control is adopted during production, inspection and acceptance, and installation and welding, internal defects in the material and welding joints are still unavoidable, which will gradually germinate, expand and grow slowly, gradually forming surface and penetrating cracks. and eventually rupture. This will seriously threaten the safety of Zhou's building structure, nuclear power safety equipment and staff, and even bring seri...

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Problems solved by technology

[0004] Due to the need to compare each negative film with the standard sample during radiographic inspection, from the initial evaluation to the re-evaluation, the manual inspection method causes a huge workload for the relevant evaluation personnel, which not only consumes a lot of manpower, material and financial resources, but also increases the time cost of production. , but there is also a potential problem of low accuracy

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