研究目的
To develop and implement a 3D vision system for counting reinforcing bars in a hot rolling mill, overcoming the limitations of mechanical counting systems.
研究成果
The developed prototype based on machine vision technology significantly improves the accuracy of rebar counting compared to mechanical systems. It is feasible for industrial implementation, with an error rate under 0.3% for tested diameters. Future work includes testing with more diameters and steel compositions.
研究不足
The system has dead zones where rebars may stop before falling into the batch, currently not covered by the camera field of view. Future improvements could include tracking the position of each rebar to minimize missed counts.
1：Experimental Design and Method Selection:
The study uses a 3D vision system based on laser triangulation principle to count reinforcing bars. The hardware includes a 3D camera, a laser line emitter, and an industrial PC. The software algorithm identifies and counts rebars by analyzing 3D profiles.
2：Sample Selection and Data Sources:
Rebars of diameters 8 mm, 10 mm, and 12 mm were used in the validation process.
3：List of Experimental Equipment and Materials:
Gocator 2300 series line profiler, 3D camera with 1024 x 1024 resolution, lens with 20 mm focal length, laser line emitter with 35 mW power, industrial PC.
4：Experimental Procedures and Operational Workflow:
The system was tested in a real industrial environment with rebars moving on a conveyor belt. The 3D profiles were analyzed to count the rebars.
5：Data Analysis Methods:
The counting algorithm groups points of similar height in the 3D profile to identify rebars. Multiple counters distributed along the frame ensure accurate counting despite overlaps.
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