The application discloses a kind of
tidal river network water gate group multi-objective intelligent water
power regulation methods, steps are as follows: S1, obtains
tidal river network historical detection data and hydrological data.S2, construct
river network flow prediction model,
water level prediction model, obtain
river network key section hydrodynamic data.S3, based on multi-objective optimization idea, with water
power regulation as the core target function, flow prediction model and
water level prediction model are nested into improved optimization
algorithm.S4, according to the multi-objective demand such as
river network flood control,
water resources,
water environment and water
ecology, based on optimization
algorithm, the optimal gate opening is solved, and real-time dynamic water gate group joint regulation scheme is generated.The application combines optimization scheduling method and
machine learning technology, proposes a
tidal river network water gate group multi-objective intelligent water
power regulation method, which can generate water gate group joint regulation scheme in real time, significantly enhance the flowability and self-purification capacity of river network
water body, and provide important support for the systematic governance and
intelligent management of tidal river network water problems.