Water body steady state detection method and system in air tightness detection based on artificial intelligence

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a water body steady state detection method and system in airtightness detection based on artificial intelligence. The method comprises the following steps: obtaining a gray level image of a pool, and obtaining a bubble motion region through continuous multi-frame gray level images; obtaining a water surface region of the bubble motion region, and obtaining a water surface connected domain and a water surface connected domain mass center according to the water surface region; filtering the water surface connected domain in a set filtering direction to obtain a water surface bubble connected domain, and determining the relative position of the optical axis of the camera and the water surface according to the mass center of the water surface connected domain and the center of the water surface bubble connected domain; obtaining a first edge straight line in the water surface connected domain, screening out a second edge straight line according to the relative position, and obtaining a water surface edge region; and collecting continuous multi-frame optical flow information of the water surface edge region to judge the steady state of the water body. According to the method, the real water surface edge is obtained in the image, and the water body steady state can be accurately detected.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based water body steady state detection method and system in air tightness detection. Background technique [0002] Water immersion method is a commonly used and simple air tightness testing method, which is suitable for testing the airtightness of metal pipes, pressure vessels and other equipment. After the equipment is pressurized by the water immersion method, the air leakage of the equipment can be judged intuitively and conveniently in the pool. In the prior art, the airtightness detection can be observed in real time through the method of machine vision, but the airtightness detection will be affected because the equipment will cause instability in the water body during the pick-and-place process. Moreover, because the pick-and-place process will cause the volume of the liquid in the pool to change, the height of the water surface...

AI Technical Summary

Problems solved by technology

In the existing technology, the air tightness detection can be observed in real time through the method of machine vision, but the air tightness detection will be affected because the equipment will cause instability in the water during the pick-and-place process

Moreover, because the pick-and-place process will cause the volume of the liquid in the pool to change, the height of the water surface will also change, and the detection of air bubbles during the automatic detection of air tightness through machine vision will cause false detection.

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