Double-measuring surface noise source identification system based on near field acoustic holography

Abstract

The invention discloses a double-measuring surface noise source identification system based on near field acoustic holography, and belongs to the technical field of vehicle noise source identification systems based on near field acoustic holography. The system includes a signal acquisition module, a data storage module, an analysis processing module and a result displaying module which are connected successively. The signal acquisition module is intended for determining array position, array element spacing, sampling frequency, and calibration of sampling number and microphones, and also for measuring sound pressure signals under all working stations. The data storage module is intended for storing the measured sound pressure signals and constructing a sound pressure signal database. The analysis processing module analyzes and processes the measured sound pressure signals by adopting the signal processing method. The result displaying module uses the double-measuring surface near field acoustic holography sound source identification algorithm to reconstruct a sound field so as to obtain a sound field distribution map and acquire sound source information. The system has strong suitability to measuring environments, can avoid the problems of tradition measuring methods, such as susceptibility to explicit influence from environment noise and low rate in identifying sound source.

Description

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AI Technical Summary

Benefits of technology

This patented technology describes two ways to identify sounds from far fields: one involves measuring them by means that use both sides of their surface (the back or side) instead of just one single plane; another approach relies on comparing measurements taken at different times during the same area without affecting any other areas around it. These techniques are more effective than older approaches but they still have limitations such as being affected by factors like weather conditions or background noise levels.

Problems solved by technology

This patented describes how it becomes important during driving to monitor and manage road noises caused by vehicles. However, current methods are limited because they cannot effectively distinguish between different types of sounds like engine noise from outside sources such as rainwater hitting nearby cars while riding along roads without causing any harm.

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