Sensing: Various sensors are used to measure parameters such as temperature, pressure, and concentration of reactants and products. Data Collection: The data from sensors are collected and fed into a central data management system. Analysis: Advanced algorithms and machine learning techniques analyze the data to identify any deviations from the optimal conditions. Adjustment: Based on the analysis, the system makes real-time adjustments to the reaction conditions to bring them back to the desired state.
