Online detection of the mining emulsion concentration based on image processing.

Aiming at the common existing problems of traditional detecting methods for emulsion concentration such as needing manual sampling, having a lag and low measuring accuracy, the image of the light incident to the emulsion was studied. A kind of special detection system based on the principle of the total reflection of light was put forward. The image's geometric model was established. The relationship between the characteristic parameters and the emulsion concentration was researched. A variety of different concentration emulsion was detected using the relationship. The results indicate that the precision of the online detection method based on image processing can reach 0.001% and has higher precision and reliability compared with the traditional detection method's precision of 0.5%. The detection scheme overcomes the shortcomings of traditional detection methods and has a good practicability through experimental verification. [ABSTRACT FROM AUTHOR]