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
- Application Number
- CN202511162397.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-19
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2045-08-19
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
Abstract
Citation Information
Patent Citations
Ballastless track freezing and damage behavior calculation method
CN110390176A
Method and system for detecting effective porosity of grass planting concrete
CN110599477A