Liquid state identification method and liquid dispensing system in liquid dispensing

Abstract

The invention provides a liquid state recognition method in liquid separation and a liquid separation system, wherein the liquid separation system executes the liquid state recognition method, and the method includes: starting from entering the liquid separation process, starting to acquire the video of the liquid in the pipeline, and The image frame in the video is extracted every preset period; for each image frame, the image features of the area to be identified in the image frame are obtained, and the image features are input into the trained liquid state recognition model to obtain the corresponding image frame. Predicted state, the trained liquid state recognition model is obtained by training sample image frames with liquid state labels; based on the predicted state corresponding to each image frame, the liquid state in the pipeline is determined. The liquid state recognition model used in this solution is especially suitable for the fast-flowing liquid dispensing process. Using machine learning models to participate in liquid state prediction can make the analyzed image features richer and the algorithm more robust, making liquid dispensing more accurate. Better performance and versatility.

Description

technical field [0001] The invention relates to the technical field of automatic control, and in particular, the invention relates to a liquid state identification method and a liquid separation system in liquid separation. Background technique [0002] Separation filtration process has a wide range of applications in industry, especially in chemical, pharmaceutical and other fields. In the chemical production process, the reaction tank performs layered precipitation by waiting for the standing reactants. When the layered precipitation process is completed, different types of layered liquids are collected by opening and closing different valves under the reaction tank. In this process, the traditional method needs to manually observe the transparent window of the pipeline under the reaction tank, and manually determine the liquid state in the pipeline, and then manually control the opening and closing of the corresponding valve to conduct the shunting collection. Manually c...

AI Technical Summary

Problems solved by technology

Since the liquid separation process is often accompanied by the rapid flow of the liquid, and industrial liquids generally contain more impurities, the fast-flowing liquid and the impurities in the liquid will significantly affect the judgment of the liquid separation interface. Due to the single analysis index, the existing methods generally use Real-time judgment is used to judge the liquid level, resulting in poor accuracy and versatility of the liquid separation process in the prior art

Images