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Researching and Utilizing on the intelligent control of the dense medium separation process in Yangjian coal preparation plant
Yali Kuang 1 * #,Huayong Wang 2,Zhangguo Wang 1,Jianjun Deng 1,Huijun Li 1
1.School of Chemical Engineering and Technology, China Univsity of Mining and Technology, Xuzhou, Jiangsu, 221116
2. Coal Preparation Plant of Yangjian Coal Company, Shuozhou, Shanxi
*Correspondence author
#Submitted by
Subject:
Funding: 教育部博士点基金(No.20100095110013), 国家科技支撑计划(No.2012BAB13B03), 国家自然基金(No.51174202)
Opened online:24 February 2014
Accepted by: none
Citation: Yali Kuang,Huayong Wang,Zhangguo Wang.Researching and Utilizing on the intelligent control of the dense medium separation process in Yangjian coal preparation plant[OL]. [24 February 2014] http://en.paper.edu.cn/en_releasepaper/content/4585927
 
 
The density of the dense medium separation used to be controlled by the given density from operators, which depended on the ash data to be assayed in each hour. Recently, it is indicated through research and practice that the density of the dense medium separation process could be controlled intelligently. The control process is actualized through the procedure as follows. The property of the feed coal would be calculated firstly based on the scanning ash of row coal in real time, then the process parameters, including the density, of the dense medium separation would be forecasted and optimized. The optimized density of circulatory medium would be transmitted to the control system, and the intelligent control realized. Similarly, the liquid level of the buckets and silo, the amount of the bypass flow, and the adding medium would be controlled intelligently. The research result could reduce the effect of man's activity on the dense medium separation process, shorten the delay time of the process control, and enhance the efficiency of the dense medium separation. The key technology of the intelligent control of the dense medium separation process is the forecasting of the process parameters of the dense medium process, and a few of hardware expenses would be increased.
Keywords:coal separation; dense medium separation process; intelligent control; process parameters; forecast; optimize
 
 
 

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