基于同化反演反馈的异构碳汇节点加密方法及系统
By optimizing the carbon flux monitoring network through assimilation and inversion feedback mechanisms, the problem of unreasonable allocation of observation resources in complex areas has been solved, and the targeted allocation of high-precision nodes and resource optimization have been achieved, thereby improving monitoring accuracy and stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUAJUN TECHNOLOGY (CHONGQING) CO LTD
- Filing Date
- 2026-05-11
- Publication Date
- 2026-07-17
AI Technical Summary
The existing carbon flux monitoring network has difficulty in rationalizing the allocation of observation resources in complex regions, resulting in insufficient observation capabilities in some areas and redundant resource allocation in others. Furthermore, it lacks the technical means to dynamically configure the front-end network by providing back-end inversion results.
Through the assimilation and inversion feedback mechanism, data assimilation processing is performed in the surface carbon cycle model using multi-source observation data and background driving data to generate posterior carbon flux estimation results and covariance matrix, calculate spatial heterogeneity risk index, quantify the global estimation uncertainty of candidate grids, generate heterogeneous node densification strategy, and optimize node deployment topology and capability configuration.
This improved the precision and stability of carbon flux monitoring, enhanced the targeting of high-precision node configuration and resource utilization efficiency, and achieved a synergistic unity between improved monitoring accuracy and resource optimization.
Smart Images
Figure CN122155352B_ABST