Land reclamation intelligent monitoring method and system integrating space planning and multi-source perception
By classifying land consolidation demand data into two categories—misaligned planning ownership and discrepancies in physical attributes—and calculating the degree of correlation and lag, the monitoring frequency is dynamically adjusted to generate a comprehensive monitoring plan. This solves the problem of accurate matching between monitoring plans and consolidation needs in existing technologies, and enhances the intelligence of land consolidation monitoring and the iterative optimization capability of planning data.
Patent Information
- Application Number
- CN202610492313.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-24
AI Technical Summary
Existing intelligent monitoring methods for land consolidation based on spatial planning and multi-source sensing have shortcomings in identifying land consolidation needs and dynamically optimizing monitoring schemes. They are difficult to distinguish consolidation needs from different driving sources, lack the ability to analyze the correlation between spatial distribution characteristics and temporal change trends, and lack closed-loop feedback between monitoring results and spatial planning data, thus failing to achieve accurate adaptation.
By classifying land consolidation demand data into two categories—misaligned planning ownership and gaps in physical attributes—the correlation and lag levels are calculated, the monitoring frequency is dynamically adjusted, core monitoring needs are extracted through clustering, a comprehensive monitoring plan is generated and iteratively optimized, forming a closed-loop feedback mechanism.
It has enabled accurate identification of different driving sources, improved the dynamic adaptation accuracy of monitoring schemes and remediation needs, and enhanced the intelligence level of land remediation monitoring and the iterative optimization capability of planning data.