The invention relates to a method and
system for regulating and controlling microbial communities in a circulating
water body, and the method comprises the steps: deploying a network composed of a plurality of
water quality sensors which can collect various key parameters of the
water body in real time and upload the key parameters to a
cloud server;
processing the collected data by using a
big data analysis platform, identifying main factors influencing the development of the microbial
community, training a predictive ecological model by using a
machine learning
algorithm, simulating the change trend of the microbial
community in different scenes, evaluating the influence of the change trend on the
water quality, and the like. A self-
adaptive control theory is introduced, a closed-loop feedback
system is constructed to optimize a microbial
community structure and functional performance thereof, a small
ecological environment most beneficial to survival and
reproduction of target microorganisms is created, a targeted inhibition control strategy is implemented in the face of emergencies, the stability and safety of a
water body ecological
system are guaranteed, and the water body ecological system is protected. According to the method, the capability of dealing with
emergency situations is improved, and the risk of environmental
pollution is reduced.