Low-altitude microclimate refined perception prediction method
Patent Information
- Application Number
- CN202511154913.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-18
- Publication Date
- 2025-10-31
AI Technical Summary
Existing technologies struggle to achieve unified fusion and accurate perception and prediction of multi-source data on low-altitude micro-meteorology, resulting in poor spatiotemporal interpretability and low prediction accuracy in low-altitude flight safety risk assessments, failing to meet the refined requirements at the meter and minute levels.
A refined low-altitude micro-meteorological sensing and prediction method is adopted. By constructing a spatiotemporal code, and combining the underlying surface data and building elevation data of the specified GeoSOT level for grid identification and modeling, grid cells are formed to associate meteorological data and topographic data. The rule-based decision function is used to predict micro-meteorological events, and the influence of neighboring grids is calculated to construct a low-altitude meteorological grid knowledge graph model.
It enables rapid and precise forecasting of low-altitude micro-meteorology, improves the efficiency of spatiotemporal data positioning and calculation, enhances the accuracy of meteorological impact calculation and prediction accuracy, and meets the needs of low-altitude flight safety assessment.
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Figure CN120871302A_ABST
Abstract
Citation Information
Cited By
GeoSOT spatial graph data dynamic updating method and system
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