River dry season multi-target dynamic water resource optimal configuration system and method

Abstract

The invention discloses a river dry season multi-target dynamic water resource optimal configuration system and method. The system comprises a data dynamic aggregation module, a data processing and management module, a dry season water resource optimal configuration module and a user interaction module. Wherein the data dynamic aggregation module further comprises a data acquisition layer, a datatransmission layer, a computer network layer and a data resource storage layer; the data processing and management module further comprises a commercial software processing layer and a development type universal support system layer; the dry season water resource optimal configuration module further has four sub-functions of parameter management, water distribution scheduling optimal calculation,auxiliary information query and water use summary; the user interaction module further comprises an information service portal module and a business application portal module. Technical support is provided for compilation and implementation of water resource scheduling schemes in different regions, and an optimal scheduling scheme is provided for a decision maker through calculation and analysis of a regional typical dry season water resource optimal configuration scheme for decision making reference.

Description

technical field [0001] The invention belongs to the technical processing field of water conservancy information, and in particular relates to a multi-objective dynamic water resource optimal configuration system in dry season of rivers. Background technique [0002] In my country, due to the influence of the monsoon, the total amount of water resources and the amount of incoming water in each year are random, and there are great changes in the abundance and drought within a year and between years. Especially in the dry season, the limited amount of water needs to take into account the needs of various water-using departments, and the allocation of water resources should minimize the potential risks caused by water shortages and reduce unnecessary waste of water resources. However, the determination of the water use plan in the dry season needs to comprehensively consider factors such as precipitation, measured runoff, annual distribution of runoff, and water demand in agricu...

AI Technical Summary

Problems solved by technology

[0003] At present, all localities have established local water resource allocation systems, but the single-objective linear programming method is generally adopted, and the allocation model considers fewer constraints. It is not flexible enough to solve the problem of water allocation in dry seasons when water consumption conflicts are more prominent. has great limitations

In addition, there are other problems, such as the data monitoring link is not perfect; the system interface is not well visualized, and the operation is relatively cumbersome; the system user terminal development is relatively lacking, etc.

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