一种基于时空关联的混凝土面板坝面裂缝识别系统
By constructing a concrete panel dam crack identification system based on spatiotemporal correlation, and utilizing image acquisition and temporal modeling technologies, crack changes are quantified and detection thresholds are dynamically adjusted. This solves the problem of misjudgment caused by environmental factors in existing technologies, and achieves high-precision crack detection and early risk warning, thus ensuring dam safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHONGQING YUFA WATER CONSERVANCY RES INST CO LTD
- Filing Date
- 2025-01-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing image recognition technologies are insufficient for accurately distinguishing between real cracks and environmental interference in the crack detection of concrete-faced dams due to factors such as weather conditions, changes in lighting, or temperature fluctuations. This leads to misjudgments, increases operating costs, delays necessary repair measures, and poses potential safety risks.
A concrete panel dam crack identification system based on spatiotemporal correlation is adopted. By combining data acquisition terminals and servers with image acquisition, time series modeling, change detection, multi-time period verification and environmental adaptation modules, a time series model is constructed to quantify the degree of crack change. The detection threshold is dynamically adjusted according to environmental parameters to comprehensively determine whether maintenance is required.
It improves the accuracy and flexibility of crack detection, reduces false alarm rates, ensures early detection of potential risks, lowers operating costs, and enhances dam safety and maintenance efficiency.
Smart Images
Figure CN120031803B_ABST