Objectives
The highest altitude in Yunnan is 6, 740 meters and the lowest is 259 meters. This huge altitude difference endows Yunnan with complex and diverse geographical environment and hydrological conditions. In order to effectively manage and optimize water resources, improve utilization efficiency and management level, digital twin platforms have become an important solution. With the birth of the metaverse technology, the model platform, as the core of the digital twin platform, has become the main skeleton neuron with more realistic virtual environments, more natural and intuitive interaction methods, and more immersive experiences, providing strong support for the development and application of the digital twin platform.
Conclusions
In conclusion, to construct a specialized model for water resources using deep learning technology, it is necessary to master the fundamental knowledge of deep learning, including neural networks, back propagation algorithms, optimization algorithms, etc. Meanwhile, familiarity with water related data and issues is required to select suitable models and optimize them.