
Digital twin water conservancy early warning system based on physical level and numerical simulation in intelligent water conservancy construction
- 1 Guangxi University
- 2 Guangxi University
- 3 Guangxi University
- 4 Guangxi University
- 5 Guangxi University
* Author to whom correspondence should be addressed.
Abstract
In 2023, the Central Committee of the Communist Party of China and The State Council issued the Overall Layout Plan for the Construction of Digital China, emphasizing the construction of a smart water conservancy system with digital twin basins as the core. The Guangxi Zhuang Autonomous Region government has clearly proposed to actively build a "digital twin Pinglu Canal", and attaches great importance to the construction of digital twin platform application services during the construction of the Western land-Sea New Passage (Pinglu) canal. Aiming at the problems such as unsatisfactory early warning effect, inaccurate data and imprecise model of existing smart water conservancy technology, this paper proposes a digital twin system for disaster early warning based on physical level and numerical simulation technology, establishes a visual digital water conservancy model and digital twin smart water conservancy cloud platform, and combines multi-physics field and multi-dimensional coupling algorithm to respond to technical pain points. To achieve scientific and accurate monitoring and intelligent management, and contribute to the construction of digitally empowered Pinglu Canal.
Keywords
Digital twin, Numerical simulation, Pinglu canal, Digital empowerment.
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Cite this article
Lan,L.;Chen,L.;Chen,X.;Liao,B.;Chen,R. (2024). Digital twin water conservancy early warning system based on physical level and numerical simulation in intelligent water conservancy construction. Theoretical and Natural Science,53,51-58.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Applied Physics and Mathematical Modeling
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