The invention discloses a multi-parameter collaborative
wind speed optimization method for a
spillway tunnel hoist chamber. The method comprises the following steps: determining an optimization variable and an optimization target based on multiple operating parameters; establishing a plurality of groups of
flood discharge tunnel operation parameter samples; according to the three-dimensional geometric model of the tunnel
spillway, constructing a tunnel
spillway full-size three-dimensional numerical model matched with each group of operation parameter samples in the step 2, and determining the computational domain range of the three-dimensional numerical model; working condition
coupling is conducted on the determined multiple groups of
flood discharge tunnel operation parameter samples and the three-dimensional numerical model, numerical calculation is conducted on the three-dimensional numerical model through the computational fluid dynamics technology, and an operation parameter-hoist chamber
wind speed distribution mapping
data set is formed; taking each group of
flood discharge tunnel operation parameter samples as an optimization variable sample set, taking the maximum
wind speed of the hoist room in one-to-one correspondence with each group of flood
discharge tunnel operation parameter samples as an optimization target value sample set, constructing a proxy model by adopting a
Kriging interpolation method, and performing precision evaluation on the
Kriging proxy model by using a
cross validation method, if the precision does not reach the standard, returning to the step 2 to increase the sampling points until a
Kriging agent model with the precision reaching the standard is formed; and constructing a wind speed optimization model of the flood
discharge tunnel hoist room, solving by adopting an intelligent optimization
algorithm to obtain multiple groups of optimal solutions, and performing multi-attribute decision on the multiple groups of optimal solutions to screen out an optimal scheme. According to the method, the wind speed optimization scheme can be effectively screened out.