FIELD: non-destructive thermal control.
SUBSTANCE: invention relates to the technique of active non-destructive thermal control and can be used in equipment for remote diagnostics of materials. According to the method, the studied objects are photographed in the visible and infrared wavelength range of 3…5 mcm and 8…14 microns, according to which the values of the emissivity coefficients are determined. For images of the visible range, a data bank of typical objects under study is created. For images of the infrared range, a database of reference structural and functional materials of objects is created, containing a table of values of thermal conductivity, thermal diffusivity, heat flux density, specific heat capacity, density and thermal inertia for each object of the classifier, previously measured from a reference sample. The images of the infrared range are recalculated into the spatial distribution of thermodynamic temperatures, which are classified on the basis of convolutional neural algorithms according to the thermophysical properties of structural and functional materials of objects at each point of the image.
EFFECT: increasing the reliability of determining the thermophysical parameters of the studied objects of remote monitoring by measuring the spatial distribution of radiation temperatures in two IR wavelength ranges of 3…5 mcm and 8…14 mcm with an accurate calculation of the emissivity values for each of these ranges of the electromagnetic spectrum at all points of the binary image.
1 cl, 4 dwg, 1 tbl
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Authors
Dates
2023-08-07—Published
2022-07-11—Filed