Water hexavalent chromium detection method based on machine vision

Abstract

The invention discloses a water body hexavalent chromium detection method based on machine vision. The method adopts an automatic liquid adding device to make the liquid adding process more precise, avoids improper manual operation, and reduces the risk of manual use of chemicals; meanwhile, a machine vision device is designed, and interference caused in the image acquisition process is effectively reduced by optimizing the image acquisition process; Retinex-based color recovery multi-scale MSRCR image enhancement is adopted, so that the image color can be kept clear, the influence of illumination in image acquisition can be reduced, and a good effect of the acquired image can be ensured; and finally, a hexavalent chromium detection modeling method based on a color difference model is constructed to replace a traditional modeling method with the maximum correlation of image features and hexavalent chromium concentration, the color features of the image are more comprehensively considered, and the established color difference model is higher in robustness and higher in accuracy.

Description

technical field [0001] The invention relates to the technical field of water quality detection, in particular to a method for detecting hexavalent chromium in water based on machine vision. Background technique [0002] Hexavalent chromium in water is a highly toxic metal ion, and short-term or long-term exposure can cause cancer. my country's current industrial waste discharge standards stipulate that the maximum allowable discharge concentration in wastewater is 0.5mg / L. At present, the detection methods of hexavalent chromium content include spectrophotometry, colorimetry and electrochemical methods. Although the spectrophotometry has good sensitivity and accuracy, the expensive instruments and reagents make the scope of application limited. limitations, and the volume of the instrument is large, and the maintenance cost is high. Colorimetric method is convenient for detection, but it is greatly affected by subjectivity, its application is limited and automatic online d...

AI Technical Summary

Problems solved by technology

Comprehensive analysis, the main reason is that the detection accuracy is limited. Although the visual colorimetric method is replaced by the visual colorimetric method for recognition through the instrument, the image acquisition process is too much interference, and the quality of the image after image processing is related to the regression model. The pros and cons are directly related to the detection accuracy

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