| 引用本文: | 金沫含,张 辰,冯子瑜,等.无间隔棒输电线路轨迹提取与椭圆检测的舞动辨识[J].电力系统保护与控制,2025,53(4):165-175.[点击复制] |
| JIN Mohan,ZHANG Chen,FENG Ziyu,et al.Galloping identification of transmission lines without spacers based on trajectory extraction and ellipse detection[J].Power System Protection and Control,2025,53(4):165-175[点击复制] |
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| 摘要: |
| 无间隔棒输电线路由于缺少机械部件的分隔与连接，在大风、冻雨、暴雪等条件下舞动风险更大，当前研究仍无法实现针对性的实时高精度监测。针对该问题，提出了一种无间隔棒输电线路轨迹提取与椭圆检测的舞动辨识方法。首先进行数据增广和低照度图像增强处理。其次对传统DeepLabV3+模型进行轻量化改进，在视频初始帧锁定目标线路并实现快速分割。最后在提取短时段内线路运行轨迹的基础上，结合巡检专家知识将舞动监测转化为线路轨迹的椭圆检测。结果表明，在复杂环境条件下，所提方法有效平衡了线路轨迹提取的速度与精度，能够分析得到对应线路的舞动程度，对极端天气下的输电线路巡检有重要现实价值。 |
| 关键词: 输电线路 无间隔棒 线路轨迹 舞动 轻量化 |
| DOI：10.19783/j.cnki.pspc.240611 |
| 投稿时间：2024-05-16修订日期：2024-08-18 |
| 基金项目:国家自然科学基金项目资助(52077215)；江苏省碳达峰碳中和科技创新专项资金资助(BE2022609) |
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| Galloping identification of transmission lines without spacers based on trajectory extraction and ellipse detection |
| JIN Mohan1,ZHANG Chen2,FENG Ziyu1,WANG Chen1,3,LIU Shu4,LIANG Rui1 |
| (1. School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China; 2. School of Computer
Science & Technology, China University of Mining and Technology, Xuzhou 221116, China; 3. State Grid Lianyungang Power
Supply Company, Lianyungang 222000, China; 4. State Grid Taizhou Power Supply Company, Taizhou 225300, China) |
| Abstract: |
| Because of the absence of mechanical components for separation and connection, transmission lines without spacers are at a higher risk of galloping during strong winds, freezing rain, and heavy snow. However, current research has yet to achieve targeted real-time high-precision monitoring. To address this issue, this paper proposes a galloping identification method for transmission lines without spacers based on trajectory extraction and ellipse detection. First, data augmentation and low-illumination image enhancement processing are performed. Next, a lightweight improvement of the traditional DeepLabV3+ model is carried out to lock into the target line and fast segmentation is realized in the initial frame of the video. Finally, after extracting the short-term operational trajectory of the transmission line, the galloping monitoring process is transformed into ellipse detection of the trajectory based on inspection expert knowledge. The results demonstrate that the proposed method effectively balances the speed and accuracy of line trajectory extraction, and can analyze the galloping severity in transmission lines in complex environmental conditions. This has significant practical value for transmission line inspection in extreme weather. |
| Key words: transmission line no spacers line trajectory galloping lightweight |
