Title :
Soft sensors for quality prediction in batch chemical pulping processes
Author :
Rao, Ming ; Corbin, Jean ; Wang, Qun
Author_Institution :
Dept. of Chem. Eng., Alberta Univ., Edmonton, Alta., Canada
Abstract :
The characteristics, functions and configuration of a soft sensor are discussed. An intelligent soft sensor (ISS) for batch digester quality control is presented. The sensor can support a batch sulphite pulping process operation and assist operators to perform better operation by providing the estimated kappa number and the cooking time, as well as interpretation of the process operation variables. It can also be used to facilitate online supervisory control, to detect unexpected events and faults during pulping process operation
Keywords :
batch processing (industrial); fault location; intelligent sensors; knowledge based systems; paper industry; process control; quality control; batch chemical pulping processes; batch digester quality control; batch sulphite pulping process; cooking time; estimated kappa number; intelligent soft sensor; online supervisory control; quality prediction; Chemical engineering; Chemical processes; Chemical sensors; Control systems; Humans; Intelligent sensors; Laboratories; Sensor phenomena and characterization; Sensor systems; Temperature;
Conference_Titel :
Intelligent Control, 1993., Proceedings of the 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1206-6
DOI :
10.1109/ISIC.1993.397722
