《机电工程》杂志社科技期刊核心期刊论文投稿机电一体化机械、仪表电工自动化、计算机浙江大学主办

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Online detection of the mining emulsion concentration based on image processing

Published:2015-06-08 author:LI Ya-bin，ZANG Tie-gang，XUAN Meng，ZHAO Kun Browse: 3277 Check PDF documents

Online detection of the mining emulsion concentration based

on image processing

LI Ya-bin，ZANG Tie-gang，XUAN Meng，ZHAO Kun

（Collage of Mechanical and Electronic Engineering，NanJing University of Aeronautics and Astronautics，

NanJing 210016，China）

Abstract：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.

Key words：emulsion concentration detection；CCD；image processing；gray processing；threshold processing

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