Infrared Thermal Image Dataset of High Voltage Electrical Power Equipment under Different Operating Conditions

Recognizing high voltage power equipment in electrical substations is the fundamental platform for effective condition monitoring of electrical power system. It enables proper identification and analysis of anomalies within the equipment, especially when in operation. The result such investigation can be applied for effective real-time measurement, control and protection schemes in the network. The use of visual images for this purpose would be limited during poor lighting conditions. However, Infrared (IR) images of the equipment are invariant to poor illumination condition. Hence, we have acquired the thermographic images of the high voltage power equipment using the portable professional FLIR C5 Infrared camera at different times of the day and load conditions. The dataset contains 5 categories of high voltages equipment common to most air-insulated electrical power substation at 132kV level, namely: circuit breakers, power transformers, surge arresters, disconnectors, and wave traps. The number of IR images for each class of equipment are: circuit breakers 203, power transformers 178, surge arresters 181, disconnectors 180, and wave traps 153. The IR images are 640 x 480 pixel RGB images captured using the rainbow color palette and properly segmented in labeled folders. The color bar in each IR image identifies the thermal range used during its acquisition. The dataset can be used for implementing novel research in computer vision based deep learning models, especially in object recognition, identification, fault classification or detection algorithms. The thermal profile of the equipment in the dataset could be applied for detection of hotspots and other related anomalies.

识别变电站内的高压电力设备，是电力系统开展有效状态监测的核心基础平台。该任务可实现对设备运行状态下内部异常的精准识别与分析，相关研究成果可应用于电力网络中高效的实时监测、控制与保护方案。常规可见光图像在光照不佳的场景下应用会受到限制，而设备的红外（Infrared, IR）图像不受此类光照条件的影响。因此，本研究采用便携式专业FLIR C5红外相机，在一天中不同时段与不同负载工况下，采集了高压电力设备的热成像图像。本数据集涵盖了132kV级多数空气绝缘变电站中常见的五类高压电力设备，分别为：断路器、电力变压器、避雷器、隔离开关以及阻波器。各类设备对应的红外图像数量分别为：断路器203张、电力变压器178张、避雷器181张、隔离开关180张以及阻波器153张。所有红外图像均为分辨率640×480像素的RGB格式图像，采用彩虹色彩色标生成，并已按照标注文件夹完成规整分类。每张红外图像附带的色条，可标识该图像采集时对应的热成像量程范围。本数据集可用于开展基于计算机视觉的深度学习模型相关创新研究，尤其适用于目标识别、目标辨识、故障分类或检测算法的相关研究。数据集中设备的热成像特征，可用于热点及其他相关异常的检测任务。

搜集汇总

背景与挑战

背景概述

该数据集是一个高压电力设备红外热图像集合，专为电力系统状态监测设计，包含断路器、电力变压器等5类常见设备的红外图像，总计约895张640x480像素的RGB图像，拍摄于不同时间和负载条件以捕捉热分布变化。数据集适用于计算机视觉深度学习模型的研究，如设备识别、故障分类和热点检测，利用红外图像在光照不足时的优势来支持实时监控和保护方案。