An intelligent drainage pump station based on SWMM model for pump group optimal dispatching and early warning disposal

A technology for optimizing scheduling and drainage pumping stations, applied to drainage structures, general water supply conservation, forecasting, etc., can solve problems such as gaps, and achieve the effect of reducing risks

Pending Publication Date: 2019-01-29
SHANGHAI KAIQUAN PUMP IND GROUP
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Problems solved by technology

The current smart pumping station is mainly reflected in data monitoring and remote control, and ...

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  • An intelligent drainage pump station based on SWMM model for pump group optimal dispatching and early warning disposal
  • An intelligent drainage pump station based on SWMM model for pump group optimal dispatching and early warning disposal
  • An intelligent drainage pump station based on SWMM model for pump group optimal dispatching and early warning disposal

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Embodiment Construction

[0017] The preferred embodiments of the present invention are given below in conjunction with the accompanying drawings to describe the technical solution of the present invention in detail.

[0018] The present invention is based on the SWMM (storm water management model, storm water management model) dynamic precipitation-runoff simulation model, using weather forecast and forecast rainfall data as input conditions, and simulating the water quality of the runoff produced by each sub-basin at any time with different time steps and water volume, as well as the flow and depth of water in each pipeline and river, combined with the optimization algorithm to find the best combination of drainage pumps, provide intelligent decision-making scheduling schemes, and achieve economic benefits while ensuring timely drainage of urban rainfall best.

[0019] figure 1 It is a schematic diagram of the overall structure of the present invention, such as figure 1 As shown, the present invent...

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Abstract

The invention relates to an intelligent drainage pump station for pump group optimal dispatching and early warning disposal based on a SWMM model, using the rainfall data forecasted by weather forecast as input condition, By calculating and simulating the runoff amount generated by each sub-watershed at any time with different time steps, as well as the discharge and depth of water in each pipeline and river, the invention combines the calculated flood peak hydrograph with the optimization algorithm to seek the best combination of drainage pumps, and provides an intelligent decision-making anddispatching scheme. The invention calculates the quantified pump station discharge based on the mature weather forecast data and the SWMM hydraulic model. According to the rainfall curve and flood peak hydrograph combined with optimization algorithm to achieve the scientific operation of the pump station, for the formulation of economic and reasonable disposal program to provide decision-making support. Under the condition of heavy rainfall and extreme rainstorm, the forecast data are put in front of the event disposal, so as to achieve the purpose of early waterlogging judgment and early warning, and reduce the risk of waterlogging occurrence.

Description

technical field [0001] The present invention relates to an intelligent drainage pumping station, in particular to a method that takes the rainfall data predicted by the weather forecast as the input condition, calculates and simulates the amount of runoff generated by each sub-basin at any time with different time steps, and the amount of runoff in each pipeline and river course. The water flow, water depth, etc., through the calculated flood peak process line combined with the optimization algorithm to find the best combination of drainage pumps, provide intelligent decision-making scheduling schemes based on the SWMM model for optimal scheduling of pumps and early warning disposal of smart drainage pumping station. Background technique [0002] With the development of computer technology, the advancement of observation methods, and the in-depth understanding of atmospheric physical processes, numerical weather prediction has made great progress. However, the problem of ur...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26E03F5/22
CPCG06Q10/04G06Q10/0631G06Q50/26E03F5/22Y02A10/40Y02A20/20
Inventor 张伟毅董成才李浩
Owner SHANGHAI KAIQUAN PUMP IND GROUP
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