Mechanism mathematical model induced smart control for BIOCIS waster water treatment system

With the growth of population, the development of economy and the increasing requirements of environmental protection, the standards for the water quality of wastewater treatment plant drainage are also carried to a new and higher level. Therefore, improving the treatment efficiency and reduce energy consumptions are considered to be pressing matters that attracted many attentions. However, the potential of improvement by modifying process and introducing new technology is limited, though improve the control level and precision of the process could be more beneficial. In this research a mechanism model induced smart control plan was studied and applied instead of conventional experience driving control plan in order to truly realize the smart and unmanned control of sewage treatment plant. A mathematical model consisted of active sludge bio-chemical mechanism combined with hydrodynamic mechanism of sewage treatment and coordinated deep-learning optimal control algorism were built and applied in Kunming third water purification plant: a BIOCOS technology municipal wastewater treatment plant with daily processing capacity of 200,000 tons. During the application, the feedforward real-time control ability can be achieved, moreover, the control signal was demonstrated to be scientifically precise and adaptable. In addition, compared to the previous operation of this same plant before the application of the smart control system, 15-20% of energy saving can be observed.