The invention discloses a reaction condition optimization control method and
system for biological
aviation kerosene production, and particularly relates to the field of biological
aviation kerosene production. The method comprises the following steps: firstly, acquiring parameters such as temperature, pressure, flow, catalyst activity and
raw material components of biological
aviation kerosene in real time through a sensor module consisting of a temperature sensor, a
pressure sensor, a flow sensor and the like, and then carrying out pretreatment operations such as median filtering and
wavelet denoising on acquired data; constructing an LSTM-
Transformer hybrid model based on the preprocessed data to predict the second-by-second value of each parameter in the future 10 minutes, correcting the predicted value according to a catalyst
activity index formula, further optimizing the prediction model by using a shadow model, comparing the predicted value with a preset interval and a threshold value, judging the state of the predicted value, and determining the second-by-second value of each parameter in the future 10 minutes. And finally, generating a fixed fine-tuning, strengthening or
emergency control strategy according to a judgment result. According to the method, the biological
aviation kerosene production
reaction conditions can be accurately predicted, regulated and controlled, and the production stability, safety and product quality are improved.