Title :
The Prediction for the finished carbonization time
Author :
Tan Yonghong ; Dong Ruili
Author_Institution :
Coll. of Mech. & Electron. Technol., Shanghai Normal Univ., Shanghai, China
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;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
