研究目的
To improve the accuracy of photogrammetry measurements of port hoisting machinery by introducing a new algorithm that addresses the limitations of obtaining photos at ideal angles and distances due to port conditions.
研究成果
The proposed AWIPPIOA significantly improves the accuracy of photogrammetry measurements for port hoisting machinery under non-ideal conditions. The algorithm's iterative optimization and weighting based on lens distortion correction contribute to controllable measurement quality.
研究不足
The algorithm's optimization effect cannot be verified by a data simulation experiment alone, requiring actual measurement confirmation. The accuracy level of the calculations can still be improved, indicating a reliance on front-end data.
1：Experimental Design and Method Selection:
The study introduces a weighting intersection point prediction iteration optimization algorithm (AWIPPIOA) to improve measurement accuracy by utilizing redundant measurements and correcting for camera optics distortion.
2：Sample Selection and Data Sources:
The experiment uses a test model with control points, general test points, and an experimental point to simulate port hoisting machinery.
3：List of Experimental Equipment and Materials:
A SONY α camera with a SONY DT 18–135 mm optical lens was used for photogrammetry.
4：Experimental Procedures and Operational Workflow:
Photos were taken from non-ideal angles and distances to simulate port conditions. The algorithm was applied to calculate the coordinates of key points.
5：Data Analysis Methods:
The accuracy of the algorithm was evaluated by comparing the calculated coordinates of the experimental point with its actual coordinates.
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