Soft sensor modeling method for industrial non-stationary process based on local weighting factor model
A factor model and local weighting technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., can solve the problems that process dynamics and nonlinearity are not fully considered, achieve short prediction time, realize online estimation, The effect of accurate prediction results
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[0066] The present invention will be further described below in conjunction with drawings and embodiments.
[0067] The invention aims at the problem of detecting the butane content in the debutanizer, by using the variables that are easy to measure in the process, and using a local weighting factor analysis model, the online soft measurement is performed on the butane content in the process.
[0068] Embodiments of the present invention and its implementation process are as follows:
[0069] Step 1: Collect data of various process variables in debutanizer through distributed control system and real-time database system: training sample set X trian ∈R N×n , store these data in the historical database, and select some data as samples for modeling.
[0070] Step 2: Obtain the butane content value corresponding to the sample used for modeling in the historical database through on-site extraction and offline laboratory analysis as the output Y of the soft sensor model trian ∈R ...
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