Weld zone machine vision device with self-adaptive liquid crystal filter screen

Abstract

The invention provides a weld zone machine vision device with a self-adaptive liquid crystal filter screen. The weld zone machine vision device comprises a current and voltage sensor, an embedded type control system, a touch displayer, the liquid crystal filter screen, a liquid crystal filter screen drive device, a digital camera and a camera external triggering controller. The embedded type system generates a triggering signal according to a welding current signal and an arc voltage signal which are collected by the current and voltage sensor and transmits the triggering signal to the liquid crystal filter screen drive device, and therefore the liquid crystal filter screen can be converted to the image acquisition state from the switch-off state. Meanwhile, the trigger signal is used as a frame trigger signal and output to the corresponding digital camera. By the adoption of the weld zone machine vision device with the self-adaptive liquid crystal filter screen, dynamic vision sensing with self-adaptive image acquisition moment, self-adaptive transmittance of the filter screen and self-adaptive image acquisition spectral region is achieved in the welding process.

Description

technical field [0001] The invention relates to a welding zone machine vision device with an adaptive liquid crystal filter screen Background technique [0002] Arc welding, plasma arc welding, laser welding, electron beam welding, and composite welding after these welding methods are combined are some welding methods commonly used in modern welding production. They all have the characteristics of strong light. In order to avoid strong light radiation, people generally Various filter lenses are used to observe the welding process. [0003] With the development of computer technology, photoelectric sensing technology and information processing technology, machine vision has gradually been applied to welding process monitoring. However, in the above welding methods, the strong light emitted by the heat source itself will seriously interfere with the welding area. Visual effects, in order to filter out these strong lights, people have come up with various methods, such as usin...

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Problems solved by technology

[0003] With the development of computer technology, photoelectric sensing technology and information processing technology, machine vision has gradually been applied to welding process monitoring. However, in the above welding methods, the strong light emitted by the heat source itself will seriously interfere with the welding area. Visual effects, in order to filter out these strong lights, people have come up with various methods, such as using narrow-band filters, sampling images under low current, strong light shielding, etc. However, these methods are only for certain specific welding processes, and some It is also difficult to implement the method

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