Tail nozzle temperature field visualization device based on binocular vision and identification method thereof

Abstract

The invention belongs to the field of aero-engine tests, and relates to a tail nozzle temperature field visualization device based on binocular vision and an identification method thereof. The tail nozzle temperature field visualization device comprises a cooling probe, a top black background plate, and a processor storing temperature field measurement and tail nozzle recognition post-processing programs, wherein the cooling probe is located at the lower position of the central axis of the engine tail nozzle; a binocular camera is arranged in the cooling probe; the binocular camera has a top view angle along the axial direction of the cooling probe and a side view angle along the radial direction of the cooling probe; the top black background plate is located within the top view angle; theengine tail nozzle is positioned within the side view angle; and the binocular camera of the cooling probe sends a shot image to the processor, so that the image is processed according to a processing program stored in the binocular camera, and a temperature field of the combustion chamber is obtained.

Description

technical field [0001] The invention belongs to the field of aero-engine testing, and relates to a binocular vision-based visualization device for the temperature field of an exhaust nozzle and an identification method thereof. Background technique [0002] With the increase of engine thrust, the working environment of the combustion chamber is getting worse and higher, and the working temperature is getting higher and higher. How to monitor the temperature field of the combustion chamber in real time, efficiently and accurately with little influence on the flow field of the combustion chamber is very important for the study of engine combustion , to improve engine performance and to ensure test safety is very important. [0003] The traditional thermocouple method can only measure the temperature of a limited number of points. When there are many measuring points, the galvanic couple rake will greatly interfere with the flow field. Machine vision temperature field measurem...

AI Technical Summary

Problems solved by technology

The grayscale-based segmentation method can only deal with graphics with clear layers and clear boundaries. In the engine room test, the boundary is blurred and the layers are complex. A large amount of data is used to train the recognition algorithm, which requires a large amount of calculation, and is also not suitable for engine exhaust image segmentation

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