The invention relates to the technical field of
petroleum refining process and industrial
automatic control, in particular to a closed-loop
intelligent control refined diesel hydrogenation
filtration parameter optimization method which comprises the following steps: step 1, acquiring refined diesel
sulfur content and raw oil flow data in real time, and generating an effective
sulfur concentration sequence through dynamic weighted filtering; 2, calculating a local blockage coefficient of the catalyst; 3, outputting a real-
time activity factor of the catalyst through an activity attenuation relational expression; 4, dynamically calculating and predicting the adsorption capacity; 5, generating an instruction for shortening the
backwashing period and reducing the filtering rate; 6, generating a
backwashing intensity adjusting instruction in proportion according to the absolute value of the
sulfur concentration change slope; 7, adjusting the filtering rate, the
backwashing period and the washing intensity; and 8, if the target value is not reached, returning to the step 2, and re-evaluating the activity of the catalyst. According to the method, the accuracy and the stability of the data are effectively improved, and reliable real-
time data support is provided for subsequent filtering parameter optimization.