Multi-dimensional measurement method for obtaining target form

Abstract

In order to solve the problems existing in the prior art, the invention provides a multi-dimensional measurement method for obtaining a target form, and the method comprises the steps: S1, converting a bearing surface where a to-be-measured target is located into a virtual background measurement space through a measurement device and a conversion model; s2, selecting a virtual measurement surface in the virtual background measurement space, and forming correction parameters of each dot matrix of the bearing surface where the target to be measured is located relative to the virtual measurement surface. And S3, identifying the to-be-measured target, performing matrix measurement on the to-be-measured target and the bearing surface where the to-be-measured target is located through the measurement device, and converting the to-be-measured target and the bearing surface where the to-be-measured target is located to form a virtual target measurement space. And S4, comparing the virtual background measurement space with the virtual target measurement space to obtain a virtual form of the target to be measured in the virtual background measurement space and on the virtual measurement surface. And S5, outputting the measurement data of the to-be-measured target as required. According to the method disclosed by the invention, the precision error of the measured target form data is 0.04-0.6 cm, and the measurement and analysis time is prolonged to 0.01-0.001 second.

Description

technical field [0001] The invention relates to the field of intelligent measurement, in particular to a multi-dimensional measurement method for acquiring target shapes. Background technique [0002] Measurement is to use data to describe the observed phenomenon according to a certain law, that is, to make a quantitative description of things. The traditional measurement is to use a measuring device to physically measure the measurement target, and the measurement efficiency is low. In recent years, due to the continuous advancement of computer computing power and virtual model analysis technology, intelligent measurement of measurement targets based on image data acquired by cameras has become more and more measurement methods. However, the existing intelligent measurement can only measure distance and two-dimensional area with a single camera device. When it is necessary to output object shape data or three-dimensional data, at least three camera devices are required to ...

AI Technical Summary

Problems solved by technology

However, the existing intelligent measurement can only measure distance and two-dimensional area with a single camera device. When it is necessary to output object shape data or three-dimensional data, at least three camera devices are required to measure the measurement target from different angles. The required object shape data or three-dimensional data can only be formed after the mold

In particular, the existing technology often needs to rely on 3D point cloud technology and 3D modeling technology when obtaining object shape data. The amount of points collected and the amount of calculation of these two technologies are very large. Generally, a high-performance computer is required to complete it, and the device is complicated. And while the cost is high, due to the long calculation time, it is difficult to realize the application in the field of real-time measurement

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