微型电脑应用

为了精准发现GIS变电设备发热缺陷因素，制定合理维修计划，设计振动特征估计下的GIS变电设备发热缺陷因素识别系统。利用数据层采集并存储GIS变电设备的相关数据，通过组件层传输数据层的数据至应用层，依据接收的数据实时估计振动特征，判断设备是否存在发热故障，在数据层内提取该设备的红外图像数据，确定发热区域，采用相对温差判别法测量发热区域的温度数据，求解相对温差百分比，依据设定的温度阈值，识别发热缺陷因素，传输至展现层。实验证明，该系统判断GIS变电设备是否存在发热故障时，可以精准定位发热区域，识别发热缺陷因素；针对微小的发热区域，该系统依旧能够精准定位，具备较优的发热缺陷因素识别效果。

In order to accurately find the heating defect factors of GIS substation equipment, make reasonable maintenance plan, this paper designs a GIS substation equipment heating defect factors identification system under vibration feature estimation. The data layer is used to collect and store the relevant data of GIS substation equipment, and the data of the data layer are transmitted to the application layer through the component layer. According to the received data, the vibration features are estimated in real time to judge whether the equipment has heating fault. The infrared image data of the equipment is extracted in the data layer to determine the heating area, and the relative temperature difference discrimination method is used to measure the temperature data of the heating area, The percentage of relative temperature difference is calculated. According to the set temperature threshold, the heating defect factors are identified and transmitted to the display layer. The experimental results show that the system can accurately locate the heating area and identify the heating defect factors in judging whether there is heating fault in GIS substation equipment. For a small heating area, the system can still locate accurately, and has better recognition effect of heating defect factors.