Digital calibration systems work by continuously monitoring the key parameters of a catalytic process using sensors. The data collected is then processed in real-time using advanced algorithms. If any deviations from the set parameters are detected, the system can automatically adjust the conditions to bring them back to the desired range. This closed-loop feedback mechanism ensures that the catalytic process remains stable and efficient. Some systems also incorporate machine learning techniques to predict and preempt potential issues.
