ACFM intelligent visual defect detection system

Abstract

The invention discloses an intelligent visual defect detection system based on an AC magnetic field. The system comprises a probe, an auxiliary circuit and system detection software and uses a defect quantification and shape reconstruction algorithm. An excitation part of the probe adopts a double-U-shaped structural design and consists of a mangan zinc ferrite iron core and two sets of orthogonal current-carrying coils, a detection part adopts a two-dimensional array structure, and the array probe adopts a lifting-releasing type traveling mode. The hardware processing of detection signals comprises signal conditionings such as amplification, filtering, and the like and also introduces an original excitation signal as a reference signal to carry out phase sensitive detection and low-pass filtering on the detection signals. The signals are sent into a computer through an A / D acquisition card, then the detection software is used for carrying out digital filtering and correlation analysis on the signals to draw a magnetic induction intensity curve and a butterfly diagram in real time, and size quantification and three-dimensional shape inversion are realized through the defect quantification and the shape reconstruction algorithm. The intelligent visual defect detection system gives a full play of the advantages of the computer and greatly improves the intellectualized and visual levels of AC magnetic field detection.

Description

technical field [0001] The invention relates to an intelligent visual non-destructive testing system based on AC electromagnetic field detection technology, more specifically, the invention relates to an ACFM defect intelligent visual detection system device, software and defect intelligent quantification and visualization method. Background technique [0002] AC electromagnetic field testing (ACFM) is a new non-destructive testing method, which is used in petrochemical, aerospace and other occasions to detect surface cracks of components, especially suitable for components such as offshore platforms and underwater structures. However, at present, the application of ACFM technology has not yet realized the automation of signal processing. Usually, it is analyzed and processed manually with the help of experience, which is not only inefficient, but also difficult to improve the accuracy of quantitative analysis of defects. Butterfly diagrams are used to represent defects, whi...

AI Technical Summary

Problems solved by technology

However, at present, the application of ACFM technology has not yet realized the automation of signal processing. Usually, it is analyzed and processed manually with the help of experience, which is not only inefficient, but also difficult to improve the accuracy of quantitative analysis of defects. The butterfly diagram is used to represent the defect, which cannot reflect the shape information of the defect, and the visualization level is not high

Images