In the actual industrial production, the monitoring and visual measurement of the temperature distribution in the boiler furnace play an important role in the safe operation of the boiler. Acoustic tomography has the advantages of contactless sensing, and is widely used in industrial furnace temperature field detection and other related fields. The main technique is the temperature field reconstruction model and algorithm. In this paper, for the integral on the line segment located in a small area, instead of the function value of the line segment formula instead and using the rectangular formula, but the function value on the Gaussian node into the linear combination of the region and its vicinity and using the Gaussian quadrature formula for calculation. In order to solve the uncomfortable qualitative problem caused by the many few variables, we construct the relationship between two directional derivatives and partial derivatives. Numerical simulation experiments show that the established model can reconstruct the temperature distribution very well.
The nominal projection data of FY-4A satellite is used for cloud derived wind inversion. Firstly, the cloud image is radiometric calibrated and denoised by the median filter. Then the optical flow is solved by the CLG optical flow method combined with global and local and multi-resolution image deformation calculation technology. The real wind speed is obtained according to the optical flow value. Finally, the rationality of the algorithm is verified by radiosonde data. The results show that CLG optical flow algorithm can be used for the inversion of cloud derived wind, and the average deviation and root mean square error of wind speed at cloud height of 300-700hp are less than 5.5 m/s.
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