Indirect method and control system for coordinate measurement

Abstract

The invention belongs to the technical field of coordinate measurement, and discloses an indirect method and control system for coordinate measurement. The control system for coordinate measurement comprises a camera module, a target location module, a master control module, a laser measurement module, a data transmission module, a big data calculation module, a data storage module and a display module. Through the laser measurement module, image information after multiple times of reflection is acquired, so that light paths between a camera and laser rays are longer, and a lens with a greaterfocal length and smaller distortion can be selected under the same condition, and benefit is brought to improve the measurement precision; and meanwhile, through the big data calculation module, a measurement coordinate is calculated by utilizing a big data source in a cloud server set, so that the coordinate calculation speed is greatly improved and the measurement efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of coordinate measurement, and in particular relates to an indirect method and a control system for coordinate measurement. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Coordinate measurement The measurement that can measure the coordinates of target points or discrete points on an object in a certain coordinate system is called coordinate measurement. The concept of coordinates comes from analytic geometry. The basic idea of ​​analytic geometry is to construct a coordinate system, connect points with real numbers, and then express curves on a plane with algebraic equations. It can be seen from this that using the coordinate method can not only solve geometric problems through algebraic methods, but also closely connect important concepts such as variables, functions, numbers and shapes. The concept of coordinates is applied to...

AI Technical Summary

Problems solved by technology

[0006] 1) High-resolution, high-quality storage requires a lot of space to store data;

[0007] 2) The monitoring range is relatively large, and the number of monitoring channels is large, which may easily cause confusion in the coordinate file data;

[0008] 3) For the correlation of similar events, there is no effective connection

Although a certain degree of efficiency has been achieved, there are still some shortcomings: the matching of the algorithm implementation process and visual resolution is not intuitive; the algorithm is complex, resulting in a large amount of data processing and high operating costs; the average analysis of the algorithm leads to important geometric features in the graph. The impact of changes in the overall similarity, resulting in a certain deviation in accuracy and stability

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