Method for acquiring moving sound field video based on well-regulated sound array and binocular vision

Abstract

The invention provides a method for obtaining movement sound field video, which is based on regular sound array and binocular vision and belongs to the technical field of noise analysis and control. Firstly, a signalized point is stuck on a moving object to be tested, a microphone array and two video cameras are arranged, and the video cameras are demarcated to obtain a projection matrix; sound pressure signals of a sound source in the moving object to be tested are obtained by the microphone in an array mode, the dynamic video of the moving object to be tested is obtained and disassembled into an image by the video cameras; the signalized point on the moving object to be tested is identified in the video image and the matched signalized point is treated with three-dimension reconstruction to obtain the spatial location of the moving object to be tested; the sound pressure signals are treated with beam forming treatment to obtain a sound field characteristic function scattergram of the moving object to be tested, the video image is treated with spatial coordinate superposition frame by frame and restored into a dynamic video image. The method of the invention causes the measurement and identification of the movement noise to be easy and provides more accurate foundation for further sound source identification and noise reduction work.

Description

Method of Acquiring Motion Sound Field Video Based on Regular Acoustic Array and Binocular Vision technical field The invention relates to a method for acquiring motion sound field video based on regular sound array and binocular vision, and belongs to the technical field of noise analysis and control. Background technique The noise of complex moving machinery such as automobiles and trains has a great impact on the environment. Due to the movement, for this type of (multi-sound source) motion noise, it is more difficult to obtain its sound field more accurately, distinguish each sound source, and accurately locate it. The visualization of the sound field can make the positioning and analysis of the noise source more practical, thereby providing a basis for further noise control work, and is of great significance to noise measurement and control work. In the current research, the sound field visualization is generally realized by matching and displaying the sound field c...

AI Technical Summary

Problems solved by technology

The holographic method to measure the moving sound field is greatly affected by the Doppler effect, and its practical application in engineering is limited

Images