Nozzle detecting system and method

Abstract

The invention discloses a nozzle detecting system and method. The system is located inside a working bin and used for atomizing detection of a nozzle. The system comprises a clamp, video cameras, LED lamp sources and a processor, wherein the clamp is located at the center of the working bin and used for fixing the nozzle; the video cameras are arranged on the periphery of the working bin and used for shooting the cone angles of spray mist sprayed from the nozzle fixed to the clamp; the LED lamp sources are mounted on the top of the working bin and used for giving out a white light source and compensating light for the video cameras; the processor is used for obtaining the light environment inside the working bin, timely adjusting the light source intensity of the LED lamp sources according to the light environment of the interior of the working bin, and conducting grey processing on the spray mist cone angles shot by the video cameras through the light source intensity of the LED lamp sources so to as determine the sizes of the spray mist cone angles. By means of the nozzle detecting system and method, the problem of visual observation is effectively solved, and the labor intensity of operators is relieved; moreover, the influence of the illumination light source on the lighting environment inside the bin can be avoided.

Description

technical field [0001] The invention relates to the field of aero-engines, in particular to a nozzle detection system and method. Background technique [0002] Aviation kerosene is a transparent liquid. To obtain the size of the cone angle of the oil mist sprayed out by the jet kerosene flowing through the nozzle, such as figure 1 As shown, the traditional method adopts the method of installing a mechanical scale 80 in the test box. The mechanical scale 80 is close to the oil mist cone angle, and then the number of oil droplets splashed on the mechanical scale 80 per unit time is counted, so as to determine the spraying rate of the part hole. The angle of the oil mist cone angle is different for each operator, and the size of the read cone angle is also different. This method is greatly disturbed by human factors, and the measurement data is inaccurate. If the machine vision system is used to analyze the angle of the cone of oil mist sprayed from the nozzle, it is required ...

AI Technical Summary

Problems solved by technology

However, the background light source used is red or other light sources, which will make the light intensity inside the warehouse too bright or dark

In order to visually inspect the oil mist cone and confirm the correctness of the oil mist cone, or the accuracy of parts installation, the operator needs to observe from the outside of the working chamber as a preliminary inspection; in addition, the above red light and other light sources are easy to operate When the operator visually detects the spray, it will cause visual fatigue, stimulate the operator's eyes, and make observation difficult

At the same time, the working chamber needs to work in a light-illuminated environment, so it is impossible to avoid the influence of external light on the light inside the working chamber, which makes the image captured by the industrial camera unsatisfactory, resulting in deviations in the image processing of the analysis software.

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