Crude terephthalic acid (CTA) hydrofining preparing process proxy model modeling method
A technology of agent model and production process, applied in the direction of biological neural network model, neural learning method, chemical process analysis/design, etc., can solve problems such as polyester melting point and spinning influence, endangering product quality, etc., to ensure product quality, The effect of stable production
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[0031] In the practical application, the present invention mainly controls the TA feed and water content by configuring the CTA slurry concentration, and measures the concentration of 4-CBA and PT acid in the slurry through a component analyzer, and measures the corresponding reaction temperature, so as to obtain the input sample. Since excess hydrogen is often introduced in actual industrial production, the present invention does not consider the influence of hydrogen on the model, that is, the hydrogen content is not selected as an input variable. Sample data of 4-CBA and PT acid concentrations in the final product were obtained using online monitoring equipment to constitute output samples. After data preprocessing, a neural network proxy model is built to correctly describe the change of product concentration after the corresponding feed and operating conditions change, so as to accurately predict the product concentration of CTA hydrofining process. The present invention...
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