研究目的
To maintain the safe and stable operation of the power system by early detection and early warning of the icing on transmission lines and avoiding the occurrence of ice-coating accidents.
研究成果
The method proposed in this paper, which combines wavelet transform and mathematical morphology, can display the edge of ice-covered transmission line more completely and carefully compared with the traditional method. This method reflects the icing condition of the transmission line more accurately and timely, and can give a better guidance on melting ice, which has a certain application prospects.
研究不足
The quality of images of icing transmission lines from the natural environment is poor due to objective factors, and the present detection methods are difficult to accurately extract the boundaries from the low-quality icing images of transmission lines.
1：Experimental Design and Method Selection:
A method based on digital image processing is proposed to determine the icing status of transmission lines. The method involves image pre-processing, wavelet transform detection, morphological processing, line extraction, and weighted fusion.
2：Sample Selection and Data Sources:
Images of icing transmission lines are captured using aerial drones or industrial cameras mounted on fixed towers.
3：List of Experimental Equipment and Materials:
Aerial drones or industrial cameras, MATLAB software for simulation.
4：Experimental Procedures and Operational Workflow:
The collected image data is transmitted through the network to the control center and analyzed by the transmission line icing detection system. The edge of the icing transmission line is detected by wavelet transform and mathematical morphology respectively, and the results are fused using image fusion technology.
5：Data Analysis Methods:
The ice thickness of the transmission line is calculated by pixel comparison.
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