• DocumentCode
    3320059
  • Title

    Research on rapid temperature measurement system

  • Author

    Wang Shaozhi ; Liu Jian ; Zhang Linghua ; Chen Huanan

  • Author_Institution
    State Key Lab. of Appl. Opt., Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
  • Volume
    1
  • fYear
    2013
  • fDate
    16-19 Aug. 2013
  • Firstpage
    101
  • Lastpage
    105
  • Abstract
    Rapid temperature measurement technology plays an important role in many special fields, but the response speed of the temperature sensor is difficult to improve, so the research of the rapid temperature prediction algorithm becomes more and more important. In view of the deficiency of existing rapid temperature measurement algorithm, a new algorithm based on prediction model of linear system is presented. According to the unit-step response model and the output of the temperature measurement, the true temperature value of the environment is derived reversely by this algorithm. On the basis of the demand of the method, the function modules and system framework are analyzed, and the system software flow is expounded. The rapid measurement experiment on slow varying temperature shows that the real temperature can be predict by this system and only in several sample time. Through further simulation analysis, it is found that the system has a strong adaptability, good stability and can make a quick prediction for linear system.
  • Keywords
    linear systems; temperature measurement; function modules; linear system prediction model; rapid temperature measurement system; system framework; system software flow; unit-step response model; Algorithm design and analysis; Heuristic algorithms; Prediction algorithms; Predictive models; Temperature measurement; Temperature sensors; dynamic response; linear system; prediction algorithm; quick temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments (ICEMI), 2013 IEEE 11th International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-0757-1
  • Type

    conf

  • DOI
    10.1109/ICEMI.2013.6743055
  • Filename
    6743055