A method for detection of pressure vessel shape deviation based on 3D laser scanning

Abstract

The invention relates to shape deviation detection and provides a pressure container shape deviation detection method based on three-dimensional laser scanning. The pressure container shape deviation detection method based on three-dimensional laser scanning includes the steps that three-dimensional laser scanning devices are distributed around a pressure container; three-dimensional laser scanning is conducted on the pressure container to obtain the quantity of point cloud data; the point cloud data is processed to obtain a three-dimensional model composed of triangular patches; an outline required by shape deviation detection is extracted from the three-dimensional model; the extracted outline is compared with a designed shape outline to evaluate a shape deviation detection result. The method can be used for accurately, quickly and comprehensively measuring shape deviation of an oval end socket in a non-contact mode. The method is high in collection point location density, high in measurement accuracy, high in measurement speed, capable of saving labor time, low in labor intensity and capable of conveniently achieving automatic measurement, and accordingly the shape deviation of the pressure container can be accurately and quickly measured.

Description

technical field [0001] The invention relates to the field of shape deviation detection, in particular to a pressure vessel shape deviation detection method based on three-dimensional laser scanning. Background technique [0002] There is a difference between the actual shape of the processed part and the designed shape, which is the shape deviation. Pressure vessel manufacturers will encounter various deformation problems during the pressure vessel manufacturing process, which mainly include two categories: the first type is deformation caused by stress, including flame cutting deformation, processing instability deformation, welding deformation and heat treatment Deformation, etc.; the second category is deformation caused by human error, including blanking error deformation, forming error deformation, assembly error deformation, etc. In a word, during the manufacturing process of pressure vessels, the shape may be out of tolerance due to various reasons, including the cyl...

AI Technical Summary

Problems solved by technology

[0007] Using the inner template to detect the shape deviation of the head, although it is easy to operate, has the following disadvantages: the detection result is not intuitive enough; there are errors in multiple processes, such as the processing error of the inner template, the measurement error of the ruler and the reading error, etc.; the labor intensity is high, and it is not easy to realize. Automated measurement; due to the ever-changing size and shape of the head, if an inner sample is made for each head, it will cause waste of resources

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