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Vol. 161, Issue 12, December 2013, pp. 265-270

 

Bullet

 

Soft-Sensing Model of Coke Oven Flue Temperature
 
Gongfa Li, Wentao Xiao, Guozhang Jiang, Jianyi Kong, Jia Liu, Yikun Zhang, Fuwei Cheng

Key Laboratory of Metallurgical Equipment and Control of Ministry of Education in Wuhan University of Science and Technology, Wuhan 430081 China
Tel.: 027-68862283, fax: 027-68862283
E-mail: ligongfa@wust.edu.cn

 

Received: 30 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: Soft-sensing technology is a novel industrial technique for some key parameters not being obtained online. The paper establishes the Soft-sensing model of coke oven flue temperature, a key technical index in coke oven heating process, which is so difficult to measure directly online. A soft-sensing model of flue temperature based on case-based reasoning is consists of four modules: data collection and pretreatment model, soft-sensor model, online modification model and online estimate model. The output of prediction data is processed with the case-based reasoning algorithm and the self-adjusting algorithm to get the target value of the case solution. The industrial application results show that the soft-sensing model can reflect the actual operation condition and meet the requirement of real-time control. Its effectiveness is proved.

 

Keywords: Soft-sensing, Case-based reasoning, Flue temperature, Coke oven, Intelligence soft-sensor model, Self-adjusting algorithm.

 

 

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