基于多源数据驱动的沿海城市地下空间资源开发适宜性评估方法
By employing a multi-source data-driven assessment method that integrates dynamic assessment factors and real-time data processing, the accuracy and safety issues of the suitability assessment system for underground space development in coastal cities under dynamic environments have been resolved, resulting in more scientific and reliable assessment results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- URBAN PLANNING & DESIGN INST OF SHENZHEN UPDIS
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing suitability assessment systems for underground space resource development fail to effectively consider dynamic risk factors when dealing with the complex and dynamic environment of coastal cities, especially in the context of frequent extreme weather events such as typhoons and storm surges. This leads to a disconnect between assessment results and actual engineering risks. Furthermore, the key parameter settings lack data-driven dynamic verification and iterative optimization, making it difficult to meet engineering and technical requirements and increasing safety hazards.
An assessment method based on multi-source data is adopted, which integrates dynamic assessment factors, acquires multi-source data in real time, generates a standardized dataset through spatiotemporal alignment processing, and performs weighted fusion calculation by combining a combined weighting strategy and a pre-trained hierarchical threshold optimization model to generate an underground space development score and suitability level report.
It improves the accuracy and real-time nature of the assessment, enabling better capture of geological changes under extreme events such as typhoons, reducing risks and hidden dangers in resource development, and ensuring the scientific validity and safety of the assessment results.
Smart Images
Figure CN122155439B_ABST