River water conservancy dispatching and water pollution collaborative treatment system based on digital twinning

By using digital twin technology to predict river resource capacity and generate tradable tokens, the problem of low resource utilization efficiency in watershed management has been solved, and market-based collaborative optimization of reservoir multi-objective scheduling and spatially differentiated management of pollution emissions have been realized.

CN121745634BActive Publication Date: 2026-06-26HUBEI UNIV OF ECONOMICS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HUBEI UNIV OF ECONOMICS
Filing Date
2026-02-13
Publication Date
2026-06-26

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Abstract

The application relates to the technical field of water resource management and environmental governance, and discloses a river water conservancy dispatching and water pollution collaborative governance system based on digital twinning, which comprises a predictive digital twinning module, a right tokenization module and a futures transaction module.The predictive digital twinning module is used for predicting the available net water quantity, water environment capacity and water power potential value of a key node in one or more time units in the future of a river based on basin multi-source data; the right tokenization module is used for generating standardized tradable water right tokens, pollution right tokens and water power potential tokens; and the futures transaction module is used for providing a transaction platform for multiple stakeholders in the basin, and can carry out futures transactions on the water right tokens, pollution right tokens and water power potential tokens.Through digital twinning prediction, right tokenization and futures transaction, the application realizes dynamic market allocation of water rights and pollution rights, collaborates multiple target values such as reservoir power generation and downstream water supply, and enables the pollution cost to reflect the spatial environmental risk.
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