Spectral Computing Imaging System Of Combustion Field

Chemical energy combustion is currently the main utilization method of energy,and the monitoring technology of the combustion field plays an important role in improving energy efficiency and ensuring energy security.The optical diagnosis method is widely used in the field of combustion diagnosis due to its advantages of non-invasiveness and versatility.Compared with ordinary cameras,spectral imaging technology can obtain richer spectral information,and can better reveal the essential attributes of things.The chemical and physical changes involved in the combustion field such as flames are complicated.If it is simply treated as a monochrome model,there must be a lack of information.In this paper,spectral imaging technology is applied to the field of combustion diagnosis,and a spectral computing imaging system is built,combined with reconstruction algorithms,to complete real-time dynamic monitoring of combustion scenes.The main work of this article mainly includes the following parts:1.We build a high-speed and high-precision spectral imaging system for combustion scenes and use a flat mirror system to achieve high-efficiency multi-field spectral tomography.Combined with the tomographic reconstruction algorithm,the five-dimensional data of the target scene is reconstructed,i.e.the three dimensions of space,the spectral dimension and the time dimension.2.We carry out the combustion field measurement.For the fluorescent tracer substance in the combustion scene,the spectrum curve was measured,the spectrum image was reconstructed,and the linear temperature spectrum characteristics were calibrated,which is of great significance for the temperature measurement of the combustion field.For the flame in the multiannulus burner,using the different spectral characteristics of different parts of the flame to reconstruct the complex structure of the inner stream,outer stream,and flame front,so as to help understand the different reaction processes.