研究目的
To develop a high-accuracy vision-based measurement system for dust concentration in workshops by utilizing the relationship between dust concentration and image transmission, addressing limitations of conventional methods due to atmospheric light scattering and occlusion effects.
研究成果
The proposed VBM system based on image transmission achieves high accuracy with a relative error of ±3.0%, relative uncertainty of 2.05%, and correlation of 0.99. The relationship between dust concentration and image transmission is a negative quadratic polynomial. The system effectively mitigates the impacts of atmospheric light scattering and occlusion effects, making it a viable alternative for dust concentration measurement in workshops. Future work should focus on optimizing algorithms to reduce measurement time and expanding the method to various dust types.
研究不足
The measurement period is 2 seconds, which is longer than some other methods due to computational requirements for image transmission estimation. The model complexity and dust type may affect performance; improvements in algorithms and hardware are needed for real-time applications. The method is currently validated for cement dust, and a database for different dust types is required for broader applicability.
1：Experimental Design and Method Selection:
A VBM system was designed based on the relationship between dust concentration and image transmission (RCT) model. The atmospheric scattering physical imaging model and dark channel prior theory were employed to calculate image transmission, considering both occlusion and atmospheric light scattering effects.
2：Sample Selection and Data Sources:
Cement dust was used in a simulated workshop environment. Dust images were collected at various concentrations, with standard concentrations measured using a calibration instrument (CCZ-1000).
3：0).
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: Industrial camera (resolution 1920 × 1080 pixels), lens, ring light source, black template, computer, software for image processing, motor, fan, control valve, funnel, pipeline, cement dust, and dust concentration calibration instrument (CCZ-1000).
4：0).
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Dust movement was simulated using a motor and fan to move dust into a settling tank. Images were captured in a designated measurement area with a black background. Images were preprocessed (subblock selection and mean filtering), image transmission was calculated using the proposed method, and the RCT model was fitted to measure dust concentration.
5：Data Analysis Methods:
Polynomial fitting was used to establish the RCT model. Performance metrics (relative error, relative uncertainty, correlation) were calculated to evaluate accuracy. Sensitivity analysis was conducted based on system sensitivity definitions.
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