Application of statistical process control methods to the establishment of process alarms in a distributed process control system

1991 ◽  
Vol 30 (1) ◽  
pp. 59-64
Author(s):  
J.L. Lee
2012 ◽  
Vol 241-244 ◽  
pp. 1839-1844
Author(s):  
Dan Yang Cao ◽  
Xi Zhong Song ◽  
Jin Hong Li

In order to lower the measurement system errors in aluminum electrolysis reduction, and find out the abnormity of process parameters, this paper considered the process parameters in the production process, used mean-range control chart in statistical process control to analyse aluminium level data during aluminium electrolysis reduction, designed and implemented the statistical process control system for aluminum electrolysis reduction data, presented process improvement method for aluminium level data. Results for the 300KA aluminium electrolysis cell show the statistical process control system can ensure the stability of aluminium electrolysis pot process parameters, find out specific reasons of abnormal data, keep the material balance and energy balance, improve current efficiency, and reduce the energy consumption.


2013 ◽  
Vol 341-342 ◽  
pp. 679-683
Author(s):  
Jian Zhao Cao ◽  
Dian Hua Zhang

In order to solve the time synchronization problem in tandem hot strip line, the traditional algorithm of time synchronization was analyzed, and the server-client mode was compared with the broadcast mode using multithread technology, then the present paper improved the broadcast mode to improve its precision. The new method can estimate total delay including clock offset and network transmission time. A simple, easy and little loading time synchronization method was designed for the distributed process control system of tandem hot strip line. The new method was applied in domestic some tandem hot strip line successfully which showed that it could meet the demands of process control system with little expenses, simple structure and high precision.


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