一种幕墙安全性检测方法和系统
By using multi-source image fusion technology and fuzzy relation matrix evaluation, the problems of manual inspection of high-rise buildings in curtain wall safety inspection, such as the inability to reach the buildings and the incompleteness of the inspection, have been solved. This has enabled the comprehensiveness, objectivity and accuracy of curtain wall safety inspection and provided a reliable quantitative basis.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SICHUAN UNIV ENG DESIGN & RES INST CO LTD
- Filing Date
- 2026-05-09
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, curtain wall safety inspections rely on manual inspections, which poses the risk of not being able to access high-rise buildings, resulting in low inspection efficiency, incomplete coverage, and highly subjective and inconsistent assessment results, making it difficult to meet the needs of accurate inspections.
Multi-source image fusion technology is employed to collect visible light and infrared images through the collaborative acquisition of fixed cameras and drones. The Shearlet-SURF algorithm and fuzzy relation matrix are used for image matching and weighted fusion to extract the structural information, material status, and environmental information of the curtain wall. Based on the fuzzy relation matrix, the safety level of the curtain wall is determined.
It achieves comprehensiveness, objectivity, and accuracy in curtain wall safety testing, breaks through the limitations of traditional testing, provides reliable quantitative basis, and provides reliable data support for curtain wall safety maintenance and risk management.
Smart Images
Figure CN122156685B_ABST