New algorithm for complex temperature field image reconstruction

In the process of measuring hearth flame temperature field of acoustic coal boiler, faster and higher accuracy reconstruction algorithms are the key to realize boiler hearth temperature field reconstruction. A new algorithm about complex temperature field image reconstruction is proposed in this paper, and this algorithm is based on Gauss function series and regularization. The new algorithm can realize complex temperature field image reconstruction with fewer measured sound wave flying time data by applying prior flame information matrix during the temperature field reconstruction. Based on this algorithm and the experiment system, reconstruction experiments were made to test the symmetrical flame temperature field and deflective flame temperature field, and the test results validate the reconstruction capacity to the real burning flame temperature field. And the experiment results show that the new algorithm can realize complex temperature field image reconstruction.