Thoughts on the construction of the control model system in digital twin water networks
The national water network employs intelligent regulation,with control models serving as a core component of the digital twin water network modeling platform.The intricate water network is a typical large-scale system characterized by multiple levels,scales,sources,users,objectives,and scenarios,presenting numerous challenges.Addressing the key points and difficulties of water network regulation,this paper proposes ideas for constructing a model system.Based on analyzing the layout and management of the water network,a database of network components and a topology diagram are established to clarify the parallel,serial,and inclusive relationships of each network,as well as the basic information and interrelationships of each component,achieving dynamic mapping between the database and topology diagram.Spatially,analysis and calculations are conducted hierarchically and partitioned based on the principle of decomposition and coordination of large-scale systems.Temporally,rolling decision-making at different time scales is implemented following the approach of prediction,regulation,and correction.The preview function is enhanced by adopting a dual mechanism and data-driven mode for simulation,continuously improving model parameters or optimizing model structures through autonomous learning.By analyzing the relationships and roles of various specialized models in the control model system,a comprehensive evaluation model of control schemes based on multiple indicators is constructed.Drawing on strategies from modern intelligent optimization algorithms,a set of feasible schemes is simulated and optimized through evolutionary iteration.
national water networkdigital twin water networkintelligent regulationlarge-scale system decomposition and coordinationrolling decision-making
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