According to the dioxin closed-
loop control method based on real-time detection and dynamic optimization, an online
monitoring system is deployed, a
tunable laser ionization time-of-flight
mass spectrometer is arranged at an
incineration flue gas
discharge outlet to detect the concentration of
trichlorobenzene serving as a dioxin indicator in real time, and a sensor is combined to detect working condition parameters;
polynomial regression is used for real-time conversion of dioxin
toxicity equivalent concentration, and an on-line monitoring-
toxicity evaluation integrated
system is formed. And a double-layer
random forest-
eagle mixed optimization model is constructed, the first layer is based on historical working condition data to
train a
random forest model to predict the dioxin emission trend and the potential standard exceeding risk, and the second layer is used for dynamically optimizing the
incineration parameter combination through an improved
eagle optimization
algorithm and issuing the
incineration parameter combination to an incineration
system in real time. And meanwhile, a
calcium-based retardant directional spraying device is deployed in a
flue gas purification section, so that uniform covering and accurate dosage control of the retardant are realized, and the low-temperature resynthesis reaction of dioxin is inhibited. And finally, parameters of the double-layer optimization model are dynamically updated based on the error of an actual detection value and a predicted value, the adaptability of the model to working condition fluctuation is improved, therefore, dioxin emission is effectively reduced, and the
environmental protection property and stability of the incineration process are improved.