The invention discloses an ARX-based online modeling method of a
water supply pipe network. The invention first establishes the real-time operation data of the
pipe network
system, and establishes the input and output process model of the
system. The real-time operation
database includes the real-time input data and real-time output data of the
system; the input data includes the
water supply pressure of the water
plant, the
water supply volume of the water
plant, the pressure and flow of the
booster pump station in the pipeline network, and the opening degree of the controllable valve on the pipeline; the output data includes The pressure of the
pressure monitoring point, the flow rate of the flow detection point, and the
water level of the reservoir. Then, based on the real-time
process operation data set of the
water supply network, an ARX model in the form of discrete difference equations is established. Finally, the
model parameters are estimated in real time. The invention can estimate
model parameters online in real time, track the state changes of the water supply
pipe network in real time and make predictions; the model has simple structure and strong robustness, and combines predictive control and
adaptive control theory to realize real-
time optimal scheduling of the water supply pipe network.