• 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