The invention discloses a component collection
delay volume correction and optimization method based on
artificial intelligence. The method comprises the steps of S1,
signal collection; s2, preprocessing the collected signals; s3, carrying out delayed
volume modeling to form a training sample set; s4, training an AI prediction module by using the training sample set; s5, AI model training is carried out, and peak
arrival time is predicted; s6, a control valve carries out accurate component collection; and S7, inputting the difference between the actual peak
arrival time and the predicted time into an AI model for feedback optimization. According to the method, signals are collected and preprocessed, a
delay volume model is established, AI model training is carried out, peak arrival prediction time is obtained, accurate collection of valve control is achieved, the difference between the prediction time and the actual peak
arrival time is input into the AI model for feedback optimization, dynamic intelligent correction of the
delay volume is achieved, manual adjustment errors are remarkably reduced, and the accuracy of valve control is improved. The collection opportunity can be optimized in real time according to flow velocity change and
system drift, and the purity and
recovery rate of
target protein components are improved.