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International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)

Xie Yi
Xie Yi
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Process industry requires good man-machine interface in order to enhance the stability of system operation, in which the sense of tension and mental load of operators is an important indicator measuring human-machine optimization. To solve the problems of lots of events and too much work load for operators in process industry, in the paper, the industrial field data is utilized to classify the alarm messages of solid dosage machining line based on Rough Sets Theory (RST), which can improve the configuration monitoring interface. It is shown in practice that the method can effectively improve the display mode of alarm events of man-machine monitoring interface of solid dosage machine line, reduce mental load of operator, and enhance work efficiency.

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