Research on state analysis of voltage-heating equipment based on dual background separation and adaptive meshing of infrared image [基于双重背景分离及自适应网格的电压致热型 设备红外图像状态分析]

作者：Zhou K.; Liao Z.^*; Chen L.; Huang J.

来源：Power System Protection and Control, 2019, 47(24): 123-130.

DOI：10.19783/j.cnki.pspc.190202

• Adaptive meshing
• Dual background separation
• HSV
• Infrared diagnosis of voltage-heating devices
• Ostu

Aiming at the problem that the infrared image of the voltage-heating fault of power equipment with small heat generation and narrow temperature variation is difficult to distinguish, a method for analyzing the operating state of voltage-heating equipment based on dual background separation and adaptive meshing infrared image processing is proposed. Firstly, taking the infrared image of current transformer casing as an example, the dual infrared background separation and component region extraction algorithm are proposed. That is, based on the RGB and HSV color space characteristics, the infrared image color space is converted and the first layer background region is separated. Then, the Ostu algorithm is combined with the Hough transform, proposing the improved Ostu algorithm based on Hough transform to realize the second separation of the background and obtain the component area. Then it imports infrared image temperature, uses adaptive meshing component area method to obtain average temperature of each mesh and extracts temperature feature vector. Comparing the component temperature feature vector of the image to be analyzed with the normal image, the temperature difference is obtained. In this way, the operating state of the equipment can be judged. Finally, the effectiveness of the proposed method is verified by case analysis. At the same time, the voltage-heating equipment such as the arrester body, voltage transformer capacitor unit and circuit breaker struts are analyzed, which shows that the method has good scalability.

• 单位
  华南理工大学