A method of triangular patching for quiet areas based on home environment

Abstract

The invention discloses a triangular patching method based on the silent area of ​​the home environment. The method first establishes a space model according to the indoor environment parameters, and combines the acoustic simulation algorithm of the virtual sound source to simulate the propagation of the sound source in the indoor space; Acoustic simulation data obtained by the sound source method in the home environment, visualize the three-dimensional sound field of the entire indoor space; detect the silent point set in the sound field simulation value, use the FCM algorithm to cluster it, and integrate the clustering results through the delaunay subdivision algorithm Quiet area, analyze the change of the distribution of quiet points. In the example of the present invention, the delaunay triangulation algorithm can be used to realize the triangular surface of the indoor silent point, and the clear visualization effect can improve people's intuitive understanding of the indoor sound field distribution, and meet the application requirements of the sound field simulation visualization in the smart home system .

Description

technical field [0001] The invention relates to the field of computer graphics, in particular to a triangular patching method based on a silent area of ​​a home environment. Background technique [0002] With the continuous improvement of the quality of life, various intelligent products and technologies emerge in an endless stream, and the comfort of the home environment has become the basic demand for people to live and work in peace and contentment. As an important part of the key technology of digital home, the research on home sound comfort is an important step forward from traditional home life to smart home. By simulating and visualizing the sound field in the home environment, it promotes the study of sound comfort in the home. It can not only simulate and visualize the sound field distribution of the entire home environment, but also provide support for the research of other digital home products. [0003] In order to satisfy the research on indoor sound comfort, t...

AI Technical Summary

Problems solved by technology

Nowadays, although previous scholars have done a lot of work in this area, there are not many algorithms that are really suitable for the visualization of quiet areas in indoor sound fields. At present, it is difficult to integrate a data point into a fixed surface in three-dimensional space. In addition, there is line-of-sight occlusion in the point set in three-dimensional space, and it is difficult to distinguish the local quiet zone with the density of point set by human eyes.

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