一种基于大模型的产业空间适配优化方法及系统
By constructing a digital twin foundation and utilizing a large language model for multi-dimensional analysis, the fragmentation problem of data processing and evaluation in traditional methods has been solved, realizing the automation and comprehensive optimization of industrial space configuration and generating scientific and operable optimization strategies.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- URBAN PLANNING & DESIGN INST OF SHENZHEN UPDIS
- Filing Date
- 2026-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional industrial spatial allocation methods rely on human experience, making it difficult to automate the processing of multi-source heterogeneous data and conduct multi-dimensional comprehensive evaluation. This results in inefficient comparative analysis of planning and the current situation, which is prone to subjective errors and lacks comprehensiveness and accuracy in the analysis results.
By constructing a digital twin foundation and utilizing a large language model for multi-dimensional analysis, we can generate industrial space optimization strategies, including planning compliance analysis, spatial efficiency analysis, enterprise capability assessment, and migration risk warning. We can also integrate multi-source data to generate systematic decision-making basis.
It enables automated and in-depth analysis of industrial space allocation, improves the accuracy and comprehensiveness of the comparison between planning and the current situation, provides scientific and operable optimization strategies, and overcomes the fragmentation problem in traditional methods.
Smart Images
Figure CN122155316B_ABST