Dimensional Temperature Field Acoustic CT Reconstruction Considering Curved Sound Line

Acoustic CT temperature field reconstruction is a non-contact temperature measurementmethods. The method which can measure the temperature field spatial distribution in theregion by measuring travel time of acoustic signals along different paths through the area, withmany advantages of simple principle, non-contact and not interfere with the measuredtemperature field, wide measuring temperature range, the large measurement object spacerange, real-time continuous measurement, and easy maintenance., will play an increasinglyimportant role in the detection of the temperature field. Among them, industrial furnacemonitoring and climate monitoring are important monitoring applications, granary temperaturefield monitoring also entered the exploratory research stage. While commonly used acousticCT temperature field reconstruction process, the voice tracks often approximate straight lines,but when sound waves through uneven temperature field voice will generate bend because ofrefraction, and the greater the temperature gradient, the more obvious voice curved, then thevoice can not be approximated straight line, so the temperature field should be reconstructedconsidering in the case of voice curved.This paper discusses the principles of acoustic CT temperature field reconstruction,introduces several common acoustic CT reconstruction method of two-dimensionaltemperature field and evaluation criteria of temperature field reconstruction quality. Thenintroduces two voice tracking method, by comparison, the triangle former expand method ismore suitable for voice trace of acoustic temperature field detection. Then by comparing twokinds of reconstruction algorithm which are the least squares method and the radial basisfunction singular value decomposition algorithm we can determine the latter one is moresuitable for complex temperature field reconstruction. This is because the number of pixelscan be greater than the number of the flight path of the acoustic wave during the temperaturefield reconstruction method, so it can be divided more pixels. By analyzing the influence ofparameters on the temperature field reconstruction algorithm results we can obtain influenceof temperature field reconstruction results with the number of pixels divided, the radial basisfunction shape parameters and interpolation method to find good arguments to the mostsuitable for radial basis function method of singular value decomposition. Reconstruction and simulation to verify that the consider voice bending radial basis function quite singular valuedecomposition method compared to the consider voice bending least squares method,reconstruction time is quite, but with higher reconstruction accuracy, and does not require aknown temperature at the sonic transceivers. Therefore better able to adapt to the complextemperature field reconstruction needs. Therefore, radial basis function singular valuedecomposition algorithm is the focus of this article.This paper studies the impact of the peak position to the selected algorithm reconstructionerrors. Through simulation analysis, consider voice bending reconstruction error can bereduced sensitivity to the peak position, so that the reconstruction of temperature field canmore accurately determine the hot spot temperature and location. If interpolation based onreconstruction should be done, the hot spot position is obtained more accurately.This article also studied temperature difference between the temperature field, thesteepness of the temperature change and the position of the hot spots to the influence ofconsidering or not considering bending of the voice, the case in which to consider the acousticline bent, which to consider the acoustic line bent is given.