基于多源传感融合的海洋异常生态事件溯源与动态跟踪方法
By employing a multi-source sensor fusion method, combined with multi-parameter comprehensive characterization and propagation path recursive updating, the problem of multi-parameter coupling characteristics and dynamic tracking of anomalous marine ecological events was solved, enabling accurate localization of anomalous marine ecological events and dynamic updating of their propagation paths.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- OCEANOGRAPHIC INSTR RES INST SHANDONG ACAD OF SCI
- Filing Date
- 2026-04-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack a complete method to realize the multi-parameter coupling characteristics, source inference, and dynamic tracking of abnormal marine ecological events, making it difficult to simultaneously achieve disaster status identification, source inference, and dynamic tracking of propagation paths based on multi-source monitoring data.
The method for tracing and dynamically tracking anomalous marine ecological events based on multi-source sensor fusion achieves the identification, tracing, and tracking of anomalous marine ecological events through preprocessing of multi-source monitoring data, comprehensive characterization of multiple parameters, spatial reconstruction, comprehensive risk field analysis, and recursive updating of propagation paths.
It enables multi-parameter collaborative discrimination of abnormal marine ecological events, improves sensitivity in the early stages of disaster formation, accurately identifies disaster source areas and dynamically updates propagation paths, and is applicable to the identification and propagation process tracking of abnormal ecological events in nearshore waters.
Smart Images
Figure CN122133077B_ABST