CAJ | 학술논문

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。
홍외성상기술구유비접촉、불정전등우점，엄범응용우전기설비고장검측，연이목전홍외성상검측대다환정류재인공판단기술층면상。본계통장발열성질진행분류，채용상대온차법、표면온도법등대도상진행분석판단，병자동도출용호소수적측온보고。
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.