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输电线路视频监控图像起火点精确红外定位方法

Accurate infrared positioning method for fire points in video surveillance images of transmission lines

  • 摘要: 输电线路常因设备内部故障或植被遮挡而形成隐蔽火源,难以通过肉眼直接观察,导致起火点定位准确性下降。红外图像能够检测火灾引起的温度变化,即使在可见光图像中尚未显现明火时,亦可及时发现潜在起火点。为此,本文提出一种输电线路视频监控图像起火点的精确红外定位方法。该方法依据红外成像原理获取监控红外图像,通过滤波与增强对原始图像进行预处理;提取图像特征并与起火点参考特征进行比对,从而确定监控图像中起火点的位置坐标;利用三维Cartesian空间坐标映射关系,计算得到起火点的精确空间坐标,完成红外定位。性能测试实验表明:与传统定位方法相比,本方法在直流与交流输电线路场景下的平均定位误差分别降低约14和17 m。

     

    Abstract: Transmission lines often develop hidden fire sources due to internal equipment failures or vegetation obstruction, making direct visual observation difficult and reducing the accuracy of fire point localization. Infrared imaging can detect temperature variations caused by fires, enabling early identification of potential ignition points even before open flames become visible in visible-light images. Therefore, this paper proposes an accurate infrared positioning method for fire points in transmission line video surveillance images. Based on infrared imaging principles, the method acquires infrared surveillance images and preprocesses the raw images through filtering and enhancement. Image features are extracted and compared with reference features of fire points to determine the pixel coordinates of the ignition points in the monitored images. Using a three-dimensional Cartesian coordinate mapping relationship, the precise spatial coordinates of the fire points are calculated, thereby completing infrared positioning. Performance tests demonstrate that, compared with conventional localization methods, the proposed approach reduces the average positioning error by approximately 14 and 17 m in DC and AC transmission line scenarios, respectively.

     

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