Infrared imaging technology without contact, power outage and other advantages, is widely used in electrical equipment fault detection. However, infrared imaging detection is implemented by manual judgment. An automatic identification system of infrared imaging detection is researched, which can classify the heating properties, analyze images by using the relative temperature difference method, surface temperature method, and automatically generate measurement reports for users’ requirements.%红外成像技术具有非接触、不停电等优点，广泛应用于电气设备故障检测，然而目前红外成像检测大多还停留在人工判断技术层面上。本系统将发热性质进行分类，采用相对温差法、表面温度法等对图像进行分析判断，并自动导出用户所需的测温报告。
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