Title :
Research of flotation dosing control method based on SVM and image processing technology
Author :
Yukun, Wang ; Yong, Zhang ; Jiesheng, Wang ; Ying, Chen
Author_Institution :
Sch. of Electron. & Inf. Eng., Univ. of Sci. & Technol. Liaoning, Anshan, China
Abstract :
Flotation process is nonlinear, strong coupling and large time delay. It is difficult to control the flotation dosage precisely. The concentrate grade fluctuations are large and the product quality is poor. A Flotation dosing intelligent control methods is proposed based on the actual production of the concentrator. Using SVM technology to establish dosing mathematical model to determine the initial flotation dosage quantum; by extracting features parameters of flotation froth image to determine the flotation state, and combined with the dosing mathematical model adjust flotation dosage quantum, improve control accuracy. The simulation result shows that the method can effectively improve the control accuracy of flotation reagent and stable the concentrate grade.
Keywords :
feature extraction; flotation (process); image processing; image texture; intelligent control; product quality; production engineering computing; stability; support vector machines; SVM; concentrate grade fluctuations; concentrate grade stability; concentrator production; dosing mathematical model; flotation dosage quantum; flotation dosing intelligent control methods; flotation froth image feature parameter extraction; flotation reagent accuracy control; flotation state; image processing technology; product quality; texture characteristic; Abstracts; Accuracy; Educational institutions; Electronic mail; Image processing; Mathematical model; Support vector machines; Flotation Dosing; Froth image; SVM; Texture characteristic;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
