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基于图像识别的特高压输电线路绝缘子闪络故障检测

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特高压输电线路通常跨越地域广,绝缘子数量众多,导致绝缘子闪络故障检测难度大.为了有效解决该问题,提出基于图像识别的特高压输电线路绝缘子闪络故障检测.对特高压输电线路绝缘子图像进行去杂处理,去除与检测无关的噪声和细节,识别与提取特高压输电线路绝缘子轮廓,再结合绝缘子闪络故障检测流程实现绝缘子闪络故障检测.实验结果表明,该方法在特高压输电线路绝缘子闪络故障检测中的召回率高,为实际应用提供了更可靠的故障检测手段.
Image Recognition-based Detection of Insulator Flashover Faults in Ultra-high Voltage Transmission Lines
Due to the fact that ultra-high voltage transmission lines often span long distances and have a large number of insulators,it is difficult to detect insulator flashover faults.To effectively solve this problem,an image recognition-based detection method for insulator flashover faults in ultra-high voltage transmission lines is proposed.The image of insulators in ultra-high voltage transmission lines is denoised to remove noise and details unrelated to detection.The contour of insu-lators in ultra-high voltage transmission lines is recognized and extracted,and the insulator flashover fault detection process is combined to achieve insulator flashover fault detection.The experimental results show that this method has a high recall rate in detecting insulator flashover faults,providing a more reliable and practically applicable fault detection method.

ultra-high voltage transmission lineinsulator flashover faultdetection methodimage denoisinginsulator profile

宋朋、孙成贤、陈柏文

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山东电力工程咨询院有限公司,山东 济南 250100

特高压输电线路 绝缘子闪络故障 检测方法 图像去杂 绝缘子轮廓

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(16)