微型电脑应用

为了准确检测特高压换流站阀厅的设备温度，提前进行故障预警，从分析设备热缺陷着手，分析了红外测温的辐射规律，构建了包括大气透射率、设备发射率以及环境温度进行补偿的智能测温模型，并设计了由“展示层”“组件层”“应用层”“数据层”组成的四层体系结构的智能测温系统。通过实验测试系统功能，结果表明系数修正后的智能测温模型误差明显降低，为特高压阀厅的设备状态监测提供了理论依据。

For the accurate detection of UHV converter station valve hall device temperature, fault early warning in advance, this study begins from thermal analysis equipment defects, analyzes the radiation law of infrared measuring temperature, emissivity of building. It includes atmospheric transmittance, equipment and environment temperature compensating model of intelligent temperature measurement. This paper designs an intelligent temperature measuring system which has four layers of "displaying layer", "component layer", "application layer", "data layer". The system function is tested by experiments, the results show that the revised coefficient of intelligent temperature measurement model error is decreased obviously. It provides theory basis for equipment condition monitoring of UHV valve hall.