Liquid state identification method in liquid separation and liquid separation system

Abstract

The invention provides a liquid state recognition method in liquid separation and a liquid separation system. The liquid separation system executes the liquid state recognition method, and the method comprises the steps: starting to acquiring a video of liquid in a pipeline from the liquid separation process, and extracting image frames in the video at an interval of a preset period; for each image frame, acquiring the image features of a to-be-recognized area in the image frame, inputting the image features into a trained liquid state recognition model, and obtaining a prediction state corresponding to the image frame, wherein the trained liquid state recognition model is obtained through training of a sample image frame with a liquid state label; and determining the liquid state in the pipeline based on the prediction state corresponding to each image frame. The liquid state recognition model adopted in the scheme is particularly suitable for the liquid separation process of the rapidly flowing liquid, the machine learning model is adopted to participate in liquid state prediction, so the analyzed image features are richer, the robustness of the algorithm is higher, and the accuracy and universality of liquid separation are better.

Description

technical field [0001] The invention relates to the technical field of automatic control, in particular, the invention relates to a liquid state identification method and a liquid dispensing system in liquid dispensing. Background technique [0002] The liquid separation filtration process has a wide range of applications in the industry, especially in the fields of chemical industry and pharmaceuticals. During the chemical production process, the reaction tank performs layered precipitation by waiting for the reactants to stand still. When the layered precipitation process is completed, different valves are opened and closed under the reaction tank to realize the separate collection of different types of layered liquids. In this process, the traditional method needs to manually observe the transparent window of the pipeline under the reaction tank, and manually judge the liquid state in the tube, and then manually control the opening and closing of the corresponding valves ...

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

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