Diversion project water resource optimal allocation dynamic model establishing system

Abstract

The invention discloses a diversion project water resource optimal allocation dynamic model establishing system. A system generalization module can abstract and generalize actual problems to form data files which are invoked in a river runoff computing module and a user water demand counting module. A river runoff acquiring module acquires river runoff data files. The user water demand counting module counts user water demand. A model establishing module utilizes an optimization theory to determine a target function and constraints of the model, establishes a mathematical model, and writes model files after the mathematical model is confirmed. A model computing module generates model result files. A model result processing module displays and processes the model results comprehensively. According to the system, a dynamic model can be generated, the optimal model is corrected in real time according to actual rainfall conditions, and model predicting accuracy can be improved.

Description

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AI Technical Summary

Benefits of technology

The technology described by this patented allows for accurate predictions based on current weather data during an outbreak or other event that may affect people's living comfortably at different times throughout their entire lifespan. This helps predict future events more accurately than previously possible due to historical data alone.

Problems solved by technology

The technical problem addressed by this patented technology relates to optimizing the placement of water sources within specific areas based on their impact upon pump stations located near these locations. Existing methods have limitations such as requiring detailed knowledge about all relevant conditions beforehand making changes over time.

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