研究目的
To develop a small-size LiDAR sensor and an algorithm for detecting oil spills on seawater, capable of distinguishing between different types and volumes of spilled oil.
研究成果
The small-size LiDAR using a 905 nm wavelength and its algorithm can detect oil spills on seawater, distinguishing between different oil types and volumes. The system offers a low-cost alternative to larger, more expensive equipment. Future research should focus on field tests and improving the system's performance.
研究不足
The LiDAR was unable to determine thicknesses of <0.01 mm. The study suggests follow-up research to incorporate the effects of waves and tidal currents and to improve the LiDAR system's performance for increased detection distances and changes in oil types.
1：Experimental Design and Method Selection:
The study used a LiDAR system with a 905 nm wavelength laser to sense oil on seawater. The LiDAR's ability to detect different oil types and volumes was tested.
2：Sample Selection and Data Sources:
Three types of oil (light crude, bunker A, and bunker C) were spilled in various volumes (1 to 50 mL) into seawater in a controlled environment.
3：List of Experimental Equipment and Materials:
A small-size LiDAR sensor, a water tank, and three types of oil were used. The LiDAR system specifications included a 905 nm light source, 120° horizontal FOV, and 2° vertical FOV.
4：Experimental Procedures and Operational Workflow:
The LiDAR was fixed above a water tank, and oil was spilled in controlled volumes. The LiDAR measured the oil's presence and thickness over time.
5：Data Analysis Methods:
The data was analyzed to determine the coverage area and thickness of the oil spills. A linear regression model was used to verify continuity in the LiDAR data.
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