To provide robust technological support for efficient and intelligent management of the Dingzi Bay and its sustainable ecosystem, this study focuses on developing and optimizing a digital twins system for full space perception and evaluation of the Dingzi Bay ecosystem. This system displays a comprehensive real-time perception of the marine ecological environment through deeply integrating multi-source data inclusive of online monitoring, remote sensing, and field measurements, Employing advanced Fourier transform algorithms and high-precision realistic texture mapping techniques, the system reconstructs the sea surface fluctuations, water interior, and sediment environments of the Dingzi Bay with high fidelity, providing a realistic virtual environment for ecological simulations.
Our study introduced the three-dimensional simulation scene modeling and the big data management techniques to construct a digital twin intelligent service platform for the Dingzi Bay ecosystem. By integrating multi-source heterogeneous data, including high-resolution digital elevation model, remote sensing image, hydrodynamic 3D model, ecological survey, etc., the digital twin scene of Dingzi Bay ecosystem is constructed based on the marine digital twin engine. The functional modules such as detailed display of bay’s topography, visualization of marine ecological environment data, visualization of hydrodynamic dynamics and visualization of ecological survey results will be realized by using GPU parallel computing and virtual simulation visualization technologies, that will display the current status and change process of Dingzi Bay ecosystem intuitively and realistically. This system will provide scientific and intuitive monitoring data, ecological assessment, and risk analysis, in order to promote the sustainable and high-quality development of the bay ecosystem.

digital twins system, ecosystem, space perception and evaluation