The Prediction for the finished carbonization time

Author

Tan Yonghong ; Dong Ruili

Author_Institution

Coll. of Mech. & Electron. Technol., Shanghai Normal Univ., Shanghai, China

fYear

2013

fDate

26-28 July 2013

Firstpage

8384

Lastpage

8386

Abstract

Finished carbonization time (FCT) is an important index in coke production of coking industry. A method to predict FCT based on the related variables such as the temperature and the change rate of the temperature in the waste gas piping is proposed in this paper. In this method, the predictive model to describe the relation between the FCT and the waste gas temperature as well as its corresponding change rate is constructed by using neural network. Then, the FCT can be predicted based on the predictive model. Finally, the method is used in a coke oven in a steel company in real time. The obtained prediction results show the validation of the method.

Keywords

coke; fuel processing industries; neurocontrollers; predictive control; process control; temperature control; FCT; coke production; coking industry; finished carbonization time; neural network; predictive model; steel company; waste gas piping; waste gas temperature; Neural networks; Ovens; Predictive models; Process control; Production; Steel; Temperature measurement; Coking; Finished carbonization time; Neural networks; Prediction; Waste gas temperature;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2013 32nd Chinese

Conference_Location

Xi´an

Type

conf

Filename

6640922