Rainwater pipe network system hydraulic design parameter optimization method

Abstract

The invention discloses a rainwater pipe network system hydraulic design parameter optimization method. The method comprises the steps that firstly, according to the basic condition and data of a rainwater pipe network and rainwater pipe network hydraulic design parameter data, a dynamic method is adopted for building a rainwater pipe network hydraulic model for simulating the drainage effect of the rainwater pipe network under the given condition; then, node spillway discharge and the pipe network manufacturing cost minimum are adopted as an optimization object, a rainwater pipe network system hydraulic design parameter optimization model is built in MATLAB software, the rainwater pipe network system hydraulic design parameters are optimized, and the optimal solution of the rainwater pipenetwork hydraulic design parameters is obtained. A self-adaption genetic algorithm is adopted in the MATLAB software for optimizing the rainwater pipe network system hydraulic design parameters, according to the algorithm, a genetic operator can perform adjustment according to the individual adaptation value during genetic evolution, genetic evolution cannot standstill locally, the algorithm canbe rapidly converged to the global optimum, and the purposes of meeting the drainage requirement and saving the construction cost are achieved.

Description

technical field [0001] The invention relates to the hydraulic design of urban rainwater pipe network, in particular to a method for optimizing the hydraulic design parameters of the rainwater pipe network system. Background technique [0002] Under the background of my country's current shortage of water resources and imperfect urban water systems, when using genetic algorithm to optimize the design of rainwater pipe network, in addition to the known flow rate, other pipe diameters, fullness, flow velocity and slope are all unknown quantities, which must be Assume two of them first and then check whether the other two meet the specifications. Some feasible pipe diameters can be selected for the design flow rate, but the remaining unknown quantities do not necessarily meet the requirements after hydraulic calculation, resulting in this pipe diameter The scheme will be unqualified and eliminated, but this pipe diameter may be the optimal pipe diameter of the scheme, but due to t...

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Problems solved by technology

[0002] Under the background of my country's current shortage of water resources and imperfect urban water systems, when using genetic algorithm to optimize the design of rainwater pipe network, in addition to the known flow rate, other pipe diameters, fullness, flow velocity and slope are all unknown quantities, which must be Assume two of them first and then check whether the other two meet the specifications. Some feasible pipe diameters can be selected for the design flow rate, but the remaining unknown quantities do not necessarily meet the requirements after hydraulic calculation, resulting in this pipe diameter The scheme will be unqualified and eliminated, but this pipe diameter may be the optimal pipe diameter of the scheme, but due to the randomly generated fullness, the flow velocity and slope do not meet the specifications, so this cannot fully simulate all the schemes of the feasible pipe diameter set. optimize

When using the genetic algorithm to optimize the design of the rainwater pipe network, the optimal crossover probability and mutation probability, as well as the crossover type and the mutation type are selected, but the use of fixed crossover probability and mutation probability in the optimization process of the genetic algorithm is easy to fall into a local optimum and lead to premature

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