Intelligent collection method for territorial space planning data
By adopting intelligent acquisition methods in land space planning, using image recognition technology to collect and analyze data in real time, calculate the trigger value of spatial planning, optimized spatial planning value and final result value, the error problem of spatial planning data processing and optimization in the existing technology is solved, and efficient and accurate automatic adjustment of spatial planning and dynamic response capabilities are achieved.
Patent Information
- Application Number
- CN202510196812.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-21
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2045-02-21
AI Technical Summary
The existing land space planning methods lack precise algorithm support, resulting in errors in spatial data processing and optimization. Especially in the face of complex areas and diversified data, inconsistent planning results are easily generated, and the automated adjustment of spatial planning based on real-time data is not realized, and the ability to respond to dynamic changes is lacking in real-time response capabilities.
An intelligent collection method for land space planning data is adopted, including data acquisition module, image recognition and analysis module, spatial planning calculation module, alarm display module and data integration and visualization module. The spatial planning calculation module includes a spatial compliance detection unit, a spatial planning optimization unit and a final optimization evaluation unit. Through image recognition technology, data is collected and analyzed in real time, and the spatial planning trigger value, optimized spatial planning value and final result value are calculated to realize self-adjustment and feedback loops.
The timeliness and accuracy of spatial planning are improved, self-adjustment and feedback loops are realized, and response capabilities to dynamic changes are enhanced, ensuring the optimization and adaptability of spatial planning schemes.