一种泡沫轻质混凝土表面孔隙孔径及体积检测方法
By employing non-contact image processing and 3D reconstruction technologies, the challenge of detecting pores on the surface of lightweight foamed concrete has been solved, achieving sub-millimeter-level pore diameter and volume detection, thus improving the accuracy and automation level of the detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHWEST JIAOTONG UNIV
- Filing Date
- 2025-08-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to efficiently and accurately detect the pore size and volume of pores on the surface of foamed lightweight concrete, especially the sub-millimeter pore structure characteristics, which present significant challenges for detection.
A non-contact method was used to acquire surface images of foamed lightweight concrete specimens, perform three-dimensional reconstruction, determine the pore center points using a local extremum query algorithm, and combine contour line division and region growing algorithms to determine the characteristic contour lines and pore surfaces of the pores, and calculate the pore diameter and volume.
It achieves sub-millimeter-level accuracy in pore diameter and volume detection, avoids subjective errors caused by manual selection, improves the automation and stability of detection, and enhances the accuracy and representativeness of pore parameter calculation.
Smart Images
Figure CN121230635B_ABST