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Streamline visualization method based on clustering screening

A streamline and clustering technology, applied in the field of streamline visualization based on cluster screening, to achieve stable visualization performance and representative simplification

Pending Publication Date: 2022-05-13
CHINA ACAD OF AEROSPACE AERODYNAMICS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a streamline visualization method based on cluster screening to solve the limitations and deficiencies in the prior art of using streamlines to visualize flow field data

Method used

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  • Streamline visualization method based on clustering screening
  • Streamline visualization method based on clustering screening
  • Streamline visualization method based on clustering screening

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0087] Such as figure 1 As shown, a streamline visualization method based on cluster screening, including:

[0088] Step 1: Obtain the feature points in the flow field through the feature point recognition algorithm, determine the influence area according to the position of the feature points, and generate streamlines in the influence area of ​​each feature point;

[0089] Among them, the streamlines are generated within the influence area of ​​each feature point through the following steps:

[0090] Sprinkle points in the influence area of ​​each feature point to generate streamlines.

[0091] Step 2: Take the influence area of ​​each feature point as the flow field space domain for voxelization expression, and generate the position distribution vector data and geometric feature vector data corresponding to each streamline based on the voxelization expression;

[0092] Among them, such as figure 2 As shown, the voxelized expression of the influence area of ​​the feature p...

Embodiment 3

[0114] Such as Image 6 As shown, this embodiment discloses the streamline visualization results of the halfcylinder flow field using the cluster screening-based streamline visualization method. From left to right are the unscreened 512 streamline results, using the BoF streamline visualization method results , using the entropy streamline visualization method results, using the FlowNet streamline visualization method results, the present invention takes the position distribution as the first view, and the geometric features as the second view visualization results, the present invention uses the geometric features as the first view, and the position distribution as the second view From the visualization results of the two views, it can be seen that for the half cylinder flow field, the streamline visualization method based on cluster screening of the present invention has very good performance.

Embodiment 4

[0116] Such as Figure 7 As shown, this embodiment discloses the streamline visualization results of the random-5 flow field using the cluster screening-based streamline visualization method. From left to right, the unfiltered 512 streamline results are visualized using BoF streamlines Method results, using entropy streamline visualization method results, using FlowNet streamline visualization method results, the present invention uses position distribution as the first view, geometric features as the second view visualization results, the present invention uses geometric features as the first view, position distribution As the visualization result of the second view, it can be seen that for the random-5 flow field, the streamline visualization method based on cluster screening of the present invention has very good performance.

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Abstract

The invention discloses a streamline visualization method based on cluster screening, and the method comprises the steps: obtaining feature points in a flow field through a feature point recognition algorithm, determining the influence regions of the feature points according to the positions of the feature points, and generating a streamline in the influence region of each feature point; performing voxelization expression by taking the influence area of each feature point as a flow field space domain, and generating position distribution vector data and geometric feature vector data corresponding to each streamline based on the voxelization expression; and based on the position distribution vector data and the geometric feature vector data corresponding to each streamline, performing clustering screening on all the streamlines through a K-Means algorithm, and generating a visualization result of the streamlines. The streamline visualization method is insensitive to the types of the feature points, the streamlines are selected by using the position distribution vector data and the geometric feature vector data, and a more representative and simplified streamline visualization result can be obtained.

Description

technical field [0001] The invention belongs to the field of fluid mechanics analysis, and more particularly relates to a streamline visualization method based on cluster screening. Background technique [0002] With the development of computer simulation technology, the scale of flow field data continues to increase, and the degree of refinement of flow field data is also steadily improving. In the face of such huge flow field data, it is especially important to express and analyze the information intuitively and visually. [0003] First, streamline visualization is a very important method for analyzing vector fields. The streamline is tangent to the velocity vector everywhere. Streamlines can describe important features of the flow field. However, for large-scale flow field data, if the selected seed points are too sparse, the streamlines obtained by tracking are often not enough to fully describe the details of the flow field; The problems of streamline overlap and st...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/28G06T17/00G06K9/62G06F17/16
CPCG06F30/28G06F17/16G06F18/23213
Inventor 禹旻杨武兵黄智濒
Owner CHINA ACAD OF AEROSPACE AERODYNAMICS