Driven by initiatives like the 3D Real-Scene China Initiative and CIM (City Information Modeling), combined with the deep integration and mutual empowerment of AI and 3D GIS technology, 3D GIS is continuously advancing towards autonomy and intelligence.
Facing the escalating demands of digital transformation across multiple industries, how can 3D GIS technology be upgraded to progressively achieve intelligent processing of massive data and high-precision reconstruction of city-scale scenes, providing more precise services across various fields?
01 How to Further Enhance Massive Multi-Source Data Management Capabilities?
As urban renewal accelerates, the demand for high-frequency data collection continues to rise. However, the explosive growth in data volume and the timeliness requirements for dynamic updates have significantly increased the technical complexity of processing and updating massive data. How can large-scale data be processed and updated more efficiently and at lower costs to fully unlock its value?
On the other hand, how can emerging real-time scene rendering technologies be integrated with 3D GIS to drive technological innovation in 3D scene visualization? Additionally, regarding data security and standardization, how can the high user demands for data privacy management and interoperability be met?
02 What Are the New Advances in 3D Modeling and Simulation?
Currently, symbolic, parametric, and procedural modeling technologies have enabled the mass production of urban buildings, roads, and utility network models. The application of intelligent modeling technology has further elevated modeling efficiency, allowing the construction of 5,300 LOD 2.0 precision building models within a 35km² area in just 20 minutes.
However, facing more complex modeling demands, there is an urgent need to break through the limitations of underlying algorithms and shallow AI applications: How can the efficiency of constructing utility tunnel models be significantly improved? How can higher-precision, more realistic building models be constructed?
Regarding the 3D visualization of water flow change predictions based on physical laws, existing technologies can already achieve multi-angle dynamic displays of complex water fields, enabling users to intuitively understand water evolution processes. But how can we further overcome the rendering limitations of complex water flow fields to enhance their decision-support capabilities?
03 Can Visualization Effects Approaching Game Engines Be Achieved?
Driven by the wave of digital intelligence, high-fidelity geospatial rendering has become a necessity in fields like digital twin cities. Currently, the integration of game engines with 3D GIS has greatly improved the visual expressiveness of scenes, but the visual realism and immersion of native GIS engines still need strengthening. How can 3D GIS visualization capabilities be enhanced to allow users to achieve game-engine-like high-fidelity effects within GIS platforms?
On June 24-25, all the answers will be revealed at the 2025 Geospatial Intelligence Software Technology Conference in China National Convention Center in Beijing!
The conference will focus on cutting-edge technologies and industry hotspots, showcasing the latest advancements in geospatial intelligence software technology and products, and exploring new opportunities for industry development. We look forward to your presence!
