Industrial chemical intelligent titration method and system based on image color information extraction

Abstract

The invention provides an industrial chemical intelligent titration method and system based on image color information extraction, which can intelligently judge the titration end point and improve titration efficiency. The method includes establishing a rule base, online detection, and updating the rule base to obtain related parameters such as the slow dropping point S, and fitting the slow dropping point to obtain the slow dropping point curve f(V), and then obtain the slow dropping point prediction Titration amount, so as to accurately judge the titration end point. The system includes a chemical titration intelligent processing unit, a titration mechanism, and an image acquisition unit; the titration mechanism includes a monitoring device, a light shield, an embedded controller, a feeding device, a titration device and a stirring device. When this set of industrial chemical intelligent titration system and method detects samples, compared with manual titration for sample concentration detection, the detection efficiency is higher and the detection accuracy is higher, which not only improves the titration efficiency and detection accuracy, but also objectively and accurately Reflects the chemical titration results.

Description

technical field [0001] The invention relates to the technical field of chemical concentration detection in industry, in particular to an industrial chemical intelligent titration method and system based on image color information extraction. Background technique [0002] In the process of sample concentration detection in the metallurgical and chemical industry, it is generally necessary to add a buffer, masking agent or indicator to the chemical reaction solution in order to observe the color change in the chemical reaction, thereby judging the titration end point of the chemical reaction . The subjective factors of the laboratory technician and the proficiency of "hand" and "eye" coordination will affect the accuracy of chemical titration end point detection. The potentiometric titration method can make accurate judgments under normal circumstances, but the analysis time is long, the sensitivity is limited, and the residual current affects the detection effect at low conc...

AI Technical Summary

Problems solved by technology

The potentiometric titration method can make accurate judgments under normal circumstances, but the analysis time is long, the sensitivity is limited, and the residual current affects the detection effect at low concentrations

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