东北大学学报(自然科学版) ›› 2006, Vol. 27 ›› Issue (3): 268-271.DOI: -

• 论著 • 上一篇    下一篇

复杂温度场图像重建算法实验研究

孙小平;田丰;邵富群;谢植;   

  1. 东北大学信息科学与工程学院;沈阳航空工业学院计算机科学与工程系;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳110004;辽宁沈阳110034;辽宁沈阳110004;辽宁沈阳110004
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2006-03-15 发布日期:2013-06-23
  • 通讯作者: Sun, X.-P.
  • 作者简介:-
  • 基金资助:
    辽宁省教育厅科学研究计划项目(202023083)

Image reconstruction algorithm for complex temperature field

Sun, Xiao-Ping (1); Tian, Feng (2); Shao, Fu-Qun (1); Xie, Zhi (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China; (2) Shenyang Institute of Aeronautical Engineering, Shenyang 110034, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2006-03-15 Published:2013-06-23
  • Contact: Sun, X.-P.
  • About author:-
  • Supported by:
    -

摘要: 在声学法燃煤锅炉炉膛火焰温度场重建中,重建算法是实现温度场重建的关键.提出一种新的复杂温度场图像重建算法,通过在温度场重建中加入先验信息矩阵,实现在较少声波飞行时间测量数据下的复杂温度场图像的重建.用该算法结合所研制的实验系统对实际燃烧火焰温度场进行了重建实验,给出了实验结果.实验结果表明,该算法可实现复杂温度场图像重建.

关键词: 正则化, 重建算法, 温度场, 声波飞行时间

Abstract: The reconstruction algorithm plays a key role in reconstructing acoustically the flame temperature field in coal-burning boiler hearth. A new algorithm is proposed to realize the image reconstruction of complex temperature field, i.e., adding a prior information matrix to the reconstruction of temperature field to realize the image reconstruction of complex temperature field with less measured data of time for sound transmission. Experiments based on this algorithm were done on the experimental setup we developed for the reconstruction of actual flash flame temperature field. The results showed that the new algorithm is available to realize the field image reconstruction of complex temperature field.

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