Weld defect detection method, device, equipment and system and memory medium

Abstract

The embodiment of the invention discloses a weld defect detection method, device, equipment and system and a memory medium. The method comprises the steps of carrying out sparse representation on sparse magneto-optical image signals of a to-be-tested weldment through utilization of an orthonormal basis matrix and a sparse coefficient, thereby obtaining sparse magneto-optical signals; observing thesparse coefficient through utilization of an observation matrix uncorrelated to the orthonormal basis matrix, and projecting high-dimensional sparse magneto-optical signals obtained through conversion to a low-dimensional space, thereby obtaining projection values; solving a sparse optimization problem according to a compressed sensing reconstruction algorithm based on a Lp norm, and recovering arestoration coefficient vector of the sparse coefficient from the projection values; and reestablishing original high-dimensional information of the to-be-tested weldment according to the restorationcoefficient vector and the orthonormal basis, and taking the original high-dimensional information as original image signals for detecting weld defect. According to the technical scheme provided by the invention, the magneto-optical image signals of the to-be-tested weldment collected under an undersampling phenomenon are reestablished, a complete, clear and accurate weld defect magneto-optical image is obtained, and the weld defect detection precision can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of laser welding detection, and in particular to a method, device, equipment, computer-readable storage medium and system for detecting welding defects. Background technique [0002] With the development of my country's aviation, aerospace, energy and shipbuilding and other heavy industries, welding technology has become one of the indispensable material forming and processing technologies in the manufacturing industry. Since the welding process is easily affected by factors such as the external environment during the processing, such as welding speed, welding power, shielding gas flow, welding environment and surface conditions of the workpiece, etc., the weldment will inevitably produce cracks, incomplete penetration, and incomplete welding. Welding defects such as fusion, porosity, pits, slag inclusions, etc., which can cause catastrophic accidents. In order to ensure the product qu...

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Problems solved by technology

The detection cost of this method is high, the detection equipment is relatively large, the ray radiation generated is extremely harmful to the human body, and the detection sensitivity to micro-crack defects is low

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