Research on the testing technology for the water-saving performance of shower nozzle based on image analysis

Abstract

Spray field of the shower nozzle has its own unique characteristics, which are instantaneity and speediness, gas-liquid two-phase nature and complexity of multiple jets. Using the traditional artificial observational method to detect the water-saving performance can not get high precision and can only extract limited characteristics. A method of image acquisition and analysis technology is described in this article, which can provide foundation for testing water-saving performance of the nozzle. By the image analysis method, it can obtain both the flow characteristic of the jet in the spray field and the relationships of pressure, flow rate and spray angle.

Extracting Technology of Dynamic Images of Shower Nozzle Spray Field Based on a New Algorithm of Automatic Threshold

“…The least squares method could be used to fitting the formula of left and right water jets intermediate axis so as to work out the spray angle. The detailed algorithm and results were referred in the article [4].…”

Interpreting Image Patterns for Agricultural Sprays Using Statistics and Machine Learning Techniques

“…High-speed videos were taken of atomization sprays, from which characteristic metrics were defined and explored [14,15]. Physical and empirical metrics were defined, and algorithms were written (Matlab v. 2019a or C++) such that the video images could be distinguished from each other based on the differences in image analysis (IA) metrics.…”

“…High-speed imaging of the spray trajectory is one technique that has been used to study spray phenomena [14][15][16][17]. Typically, these efforts have attempted to serve as a proxy technology for establishing the droplet size distribution.…”