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Large-scale point cloud data-based large-scale high-speed rotary equipment error hybrid evaluation method

A technology for point cloud data and error evaluation, applied in the field of error hybrid evaluation, can solve the problems of inaccurate measurement results and unusable results, and achieve the effects of simple calculation, improved assembly accuracy, and reduced complexity and calculation amount.

Active Publication Date: 2020-05-19
HARBIN INST OF TECH
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Problems solved by technology

It is particularly susceptible to the inaccuracy of the evaluation measurement results due to the influence of individual large error points
Therefore, it cannot be used in the evaluation of high-end precision components

Method used

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  • Large-scale point cloud data-based large-scale high-speed rotary equipment error hybrid evaluation method

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specific Embodiment 1

[0034] according to figure 1 and figure 2 As shown, the present invention provides a large-scale high-speed rotary equipment error hybrid evaluation method based on large-scale point cloud data, including the following steps:

[0035] Step 1: According to the flatness error evaluation method of the minimum area criterion, determine that the upper and lower planes of all measured point sets are the containment planes;

[0036] The step 1 is specifically:

[0037] According to the flatness error evaluation method of the minimum area criterion, the upper and lower planes of all measured point sets are determined to be the containment plane, and the reference normal vector equation of the containment plane is expressed by the following formula:

[0038] Ax+By+Cz+D=0 (1)

[0039] Among them, A, B, C are the normal vectors of the reference plane, and D is the offset distance along the normal direction of the containment plane.

[0040] Step 2: update the speed and position of t...

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Abstract

The invention relates to a large-scale point cloud data-based large-scale high-speed rotary equipment error hybrid evaluation method. The method is a flatness error evaluation method according to a minimum area criterion. Updating the speed and the position of the planeness error solving particle swarm algorithm; simulating an annealing algorithm mechanism, and determining a transition probabilityfunction according to Gibbs criterion regular distribution; optimizing calculation is carried out, falling into a local optimal solution is avoided, and the solving precision is improved; removing invalid data from an optimization calculation result by adopting a convex hull algorithm to obtain effective measurement data points, and solving the planeness by utilizing a particle swarm intelligentoptimization algorithm. The flatness shape error evaluation value of large-scale point cloud data can be accurately obtained, and the method is suitable for measurement and evaluation of geometrical shape errors of large-scale rotary products. The method is simple and convenient in calculation and high in solving precision, is used for evaluating the shape error of the rotor connecting surface ofthe aero-engine, and can improve the final measurement and evaluation precision, thereby improving the assembly precision.

Description

technical field [0001] The invention relates to the technical field of error mixing evaluation, and relates to a method for error mixing evaluation of large-scale high-speed rotary equipment based on large-scale point cloud data. Background technique [0002] The existing measurement methods include laser scanning measurement method, laser tracker, optical measurement method, etc. During the measurement process, an extremely large amount of measurement data will be accumulated. When using traditional measurement evaluation methods to evaluate geometric shape errors, The disadvantages of traditional methods will be revealed, such as relatively low measurement accuracy and evaluation accuracy, and even the method cannot converge to the required accuracy requirements. Therefore, it is urgent to propose a shape error evaluation method suitable for the current new generation of measurement evaluation calculations to solve the evaluation accuracy. low problem. [0003] The tradit...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/15G06F17/18
CPCG06F17/15G06F17/18
Inventor 孙传智谭久彬张茂伟刘永猛王晓明
Owner HARBIN INST OF TECH
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