The invention discloses a pulping and
papermaking industry
sewage treatment process, relates to the technical field of
sewage treatment, and adopts a dynamic adjustment
algorithm and a PID control mechanism to monitor the concentration, flow and
water temperature of
suspended solids in real time, the dosage of chemicals can be automatically adjusted, the concentration is stabilized to be close to a target value, the waste of chemical chemicals is reduced, and the
sewage treatment efficiency is improved. Meanwhile, the stability and effect of
sewage treatment are improved, a
reinforcement learning RL
algorithm is introduced, the
aeration intensity and time are adjusted in real time, the
ammonia nitrogen concentration is controlled, the organic load is removed, the RL
algorithm can continuously optimize the
aeration strategy according to the change of the
ammonia nitrogen concentration and the organic load, and therefore the removal efficiency is improved to the maximum extent; meanwhile, excessive
aeration and unnecessary
energy consumption are avoided, predictive control based on a
random forest algorithm is adopted, the physical characteristics, including the
moisture content, the
solid content and the rheological property, of the
sludge are analyzed in real time, and the concentration stirring strength and the concentration time are dynamically adjusted.