A crack monitoring method and system

Abstract

The invention relates to a crack monitoring method and system, and relates to the technical field of crack monitoring. The method includes: according to the initial images of cracks to be monitored taken by two cameras at the initial moment, using the three-dimensional DIC method to determine the corresponding initial position points on the two initial images; through the initial position points, the nonlinear imaging model of the binocular camera and the minimum The initial three-dimensional coordinates determined by the square method calculate the initial width of the crack to be monitored; according to the monitoring image of the crack to be monitored taken by the two cameras after the monitoring time, the two-dimensional DIC method is used to determine the corresponding monitoring position point of the initial position point on the monitoring image; The current width of the crack to be monitored is calculated through the monitoring three-dimensional coordinate determined by the monitoring position point; the change of the crack to be monitored is determined according to the initial three-dimensional coordinate, the three-dimensional monitoring coordinate, the initial width and the current width. The invention improves the detection resolution of the crack width change through the matching algorithm of the DIC method, and realizes high-resolution monitoring.

Description

technical field [0001] The invention relates to the technical field of crack monitoring, in particular to a crack monitoring method and system. Background technique [0002] At present, the crack detection or monitoring method based on the principle of machine vision basically uses a monocular camera. The implementation process is: firstly, preprocessing and crack recognition are performed on the crack image obtained by the monocular camera to obtain the entire pixel edge of the crack, and then The identified cracks are located on the whole pixel edge for sub-pixel positioning. This enables high-resolution detection or monitoring of fracture width variations. However, when the optical axis of the camera is not perpendicular to the surface of the structure under test or the surface of the structure under test is not flat, certain errors will be brought about or detection or monitoring cannot be performed at all; The detection resolution of the fracture width change that can...

AI Technical Summary

Problems solved by technology

However, when the optical axis of the camera is not perpendicular to the surface of the structure under test or the surface of the structure under test is not flat, certain errors will be brought about or detection or monitoring cannot be performed at all; The detection resolution of the crack width change that can be achieved by the current public data is also low

Images