The invention relates to the technical field of
water treatment, discloses an intelligent flocculant adding method and
system based on
water quality dynamic data, and aims to solve the technical problems that an existing adding mode is extensive, lagged in control and difficult to adapt to dynamic
water quality fluctuation. The method comprises the following steps: collecting
turbidity and flow data of a water inlet end; carrying out feedforward prediction by utilizing a long-short-
term memory network model, calculating a theoretical dosage and driving a
metering pump to execute; and the
effluent turbidity is monitored in real time, and feedback correction is performed by using a PID
algorithm. The
system comprises an online monitoring unit, an
intelligent control unit, a precise adding
execution unit and an effect feedback unit. Through composite control of feedforward prediction and feedback correction, advanced and accurate addition of the flocculant is realized, the
drug consumption cost is reduced, the
impact load is effectively dealt with, and the stability of the
effluent quality and the intelligentization of
system operation and maintenance are ensured.