Study on dysprosium iron titration analysis based on chromaticity analysis

Abstract

In the process of artificial titration of dysprosium iron, it is difficult for human eyes to judge the change of the color of the solution, which will lead to inaccurate titration end point and increased error. In this paper, a color sensor is used to replace human eyes to identify the phenomenon of color mutation in solution, and a variety of filtering methods are used to filter the RGB value of the solution collected by the color sensor. It is found that gaussian filtering and moving average filtering can remove noise very well. At the same time, it is found that the color space conversion can more accurately identify the mutation phenomenon of solution color. Finally, using soy sauce, blue black ink, potassium permanganate and other solutions to simulate the experiment, get better experimental results.