DocumentCode :
1772765
Title :
Fuzzy control of rotary cement kiln using sintering zone image recognition
Author :
Yudin, Dmitry ; Magergut, Valery ; Rubanov, Vasiliy
Author_Institution :
Dept. of Tech. Cybern., Belgorod State Technol. Univ., Belgorod, Russia
fYear :
2014
fDate :
9-11 July 2014
Firstpage :
365
Lastpage :
370
Abstract :
Article analyses modern machine vision-based approaches of the rotary kiln monitoring and control which reduces energy consumption and improve clinker quality. Article describes fuzzy advising control unit developed by the authors. It based on sintering zone state assessment, the kiln rotation period and the relative change of the exhaust gases temperature. Advising control rule base for rotary cement kiln of wet technological process is developed. Structure of fuzzy control system is proposed on the basis of advising control unit. It is applicable both independently and as a part of the existing rotary kiln control systems.
Keywords :
cements (building materials); computer vision; energy conservation; fuzzy control; image recognition; kilns; process monitoring; production control; production engineering computing; production equipment; sintering; clinker quality improvement; energy consumption reduction; exhaust gases temperature; fuzzy advising control unit; kiln rotation period; machine vision; rotary cement kiln; rotary kiln control systems; rotary kiln monitoring; sintering zone image recognition; sintering zone state assessment; wet technological process; Fuels; Gases; Kilns; Legged locomotion; Niobium; Process control; Slurries; fuzzy control; image recognition; machine vision; rotary cement kiln; sintering zone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Technologies (DT), 2014 10th International Conference on
Conference_Location :
Zilina
Type :
conf
DOI :
10.1109/DT.2014.6868741
Filename :
6868741
Link To Document :
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