Vision-based automatic aviation oil mist nozzle atomization angle detection device and method

Abstract

The invention relates to a vision-based automatic aviation oil mist nozzle atomization angle detection device. A light source is arranged inside a tank, and an industrial camera is arranged on the outer side of the tank, connected with an explosion-proof computer through an internal digital I / O (input / output) trigger interface card and used for shooting spray of the oil mist nozzle fixed in the tank. A detection method includes the following steps that the industrial camera shoots a digital image of a spray cone angle by receiving an external trigger signal and sends the digital image to the explosion-proof computer; the explosion-proof computer preprocesses the digital image to obtain a binary image; the binary image is subjected to Hough transform to obtain a boundary of degrees of the cone angle and the degrees of the cone angle. By the device and method, the problem about randomness of manual measurement of the aviation nozzle is solved, accuracy is improved, reliability in measurement is guaranteed, and automation level is heightened.

Description

technical field [0001] The invention relates to the application of computer vision technology in the field of angle detection of aviation nozzles. Specifically, it is a device and method for detecting the atomization angle of aviation oil mist nozzles by integrating various technologies such as image processing, pattern recognition, artificial intelligence, mathematics, and visual inspection. Background technique [0002] As a new discipline, computer vision technology has gone through more than 40 years of history. With the development of computer science and the development of bus technology, computer vision technology is becoming more and more mature. It has become an indispensable and important part of industry. Medicine, archaeology, satellite remote sensing, public security, building materials and chemicals, metal processing, electronics manufacturing, packaging, automobile manufacturing and many other fields. Computer vision technology is gradually replacing human vi...

AI Technical Summary

Problems solved by technology

[0004] This measurement method mainly relies on the worker's visual inspection, the accuracy rate is relatively low, and its judgment standard is tangent to the edge of the atomization, using the position of a point on the edge of the atomization, so the randomness is relatively large, and it has not been fully utilized. Information on the entire fog edge

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