Method for softly measuring dioxin concentrations by adoption of case-based reasoning
A soft-sensing and case-based technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as slow training speed, poor application effect of soft-sensing methods, lack of certain hidden layers and number of nodes, etc., to achieve Improved accuracy, beneficial effects for real-time applications
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[0049] The sample data comes from 11 groups of data of a certain waste incineration treatment plant. Taking the leave-one-out cross-validation as an example, the specific implementation of the present invention will be further described below in conjunction with the accompanying drawings.
[0050] like figure 1 As shown, a soft-sensing method for dioxin concentration using case-based reasoning includes the following steps:
[0051] (1) Use mutual information method to select feature variables; for 11 sets of historical data obtained (including 13 feature variables x 1 ~x N And the corresponding data of dioxin concentration y, the 13 characteristic variables include: furnace temperature x 1 , Smoke temperature at bag outlet x 2 , Boiler outlet flue temperature x 3 , flue gas flow x 4 and the oxygen content in the flue gas x 5 , water content x 6 , carbon monoxide content x 7 , carbon dioxide content x 8 , sulfur dioxide content x 9 , Nitrogen oxide content x 10 , Hyd...
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