Meteorological station surrounding environment monitoring method and system based on embedded platform
By using an image processing method based on an embedded platform, and leveraging sky semantic segmentation and traditional image processing techniques, the problem of false detection and missed detection in the meteorological station monitoring system under complex environments was solved, enabling accurate judgment of environmental changes and stable operation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI SECOND POLYTECHNIC UNIVERSITY
- Filing Date
- 2026-02-12
- Publication Date
- 2026-05-29
AI Technical Summary
Existing weather station monitoring schemes have limited generalization capabilities in complex environments, making it difficult to fully reflect the actual operating environment of weather stations, leading to false detections and missed detections, and failing to quantify abnormal environmental changes.
Images of the surrounding environment of the weather station are acquired by an image acquisition device. The sky region is segmented using a sky semantic segmentation model to determine complementary ground monitoring areas. The upper boundary curve of the ground region is extracted using traditional image processing methods and compared with a preset reference boundary curve to determine environmental anomalies and trigger an alarm.
It improves the monitoring system's ability to adapt to complex environments, reduces computing power and energy consumption, and enables accurate judgment and stable operation of abnormal environmental changes.
Smart Images
Figure CN122116254A_ABST