DocumentCode
2371891
Title
An automatic calibration system for frequency weighting functions of sound level meter
Author
Zhong Bo ; Xu Huan ; Sun Qingsheng ; He Longbiao ; Niu Feng ; Bai Ying ; Yang Ping
Author_Institution
Div. of Mech. & Acoust., Nat. Inst. of Metrol., Beijing, China
fYear
2010
fDate
4-7 Aug. 2010
Firstpage
401
Lastpage
405
Abstract
The importance of automatic calibration for sound level meter (SLM) is described and the problems of existing calibration systems are analysed at the beginning of this paper. Then a novel automatic calibration system based on image recognition technology for frequency weighting functions of SLM is presented. Firstly, the system can realise automatic calibration of sound fields which produce expected standard sound pressure both in anechoic chamber and active coupler. Through the image recognition technology, it can obtain the measured value of SLM automatically. This unique feature solves the problem that many automatic calibration systems can´t deal with SLMs which don´t have electrical output interface so that it enlarges the application scope of our system. In addition, the system can generate final reports automatically according to the calibration results. The experiment results show that our system has the features of high-efficiency, easy-operation, and good-universality and it is well competent for routine calibration work for SLM.
Keywords
acoustic noise; anechoic chambers (acoustic); calibration; image recognition; level meters; noise measurement; active coupler; anechoic chamber; automatic calibration system; frequency weighting functions; image recognition technology; sound level meter; Calibration; Current measurement; Feature extraction; Image recognition; Microphones; Voltage measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location
Xi´an
ISSN
2152-7431
Print_ISBN
978-1-4244-5140-1
Electronic_ISBN
2152-7431
Type
conf
DOI
10.1109/ICMA.2010.5589158
Filename
5589158
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