基于变电站的红外测温优化算法分析  

Infrared Temperature Measuring Optimized Algorithm for Substation

作　　者：田俊梅[1] 赵兴勇[1] 张学军[1] 付文华[2] 

机构地区：[1]山西大学电力工程系,太原030009 [2]山西电力科学研究院,太原030002

出　　处：《太原理工大学学报》2014年第5期614-617,共4页Journal of Taiyuan University of Technology

基　　金：山西大学青年科研基金资助项目(K02013130009);国网山西省电力公司晋电发展(2014)88号综合计划资助项目

摘　　要：针对传统热像仪不能自动精确对整个区域内任意物体测温的问题,提出了一种通过图像匹配实时确定被测目标发射率,自动调焦搜寻超温目标的红外智能全景测温方法。基于传统热像仪测温原理,结合变电站中高温和低温设备混合近距离分布的状况,重点讨论了在变电站具体的环境以及设备特点下,不同的环境因素和目标特性对测温数据的影响。计算结果表明,对于环境温度或被测设备和周围高温设备温差在一定范围内时,可以采用特定常数或一个正比例变化的系数对未考虑高温物体影响的测温数据进行校正,在兼顾测温精度的情况下提高了测温速度,对实时智能监控设备温度以排除运行隐患提供了一种参考方法。Since existing thermal imagers cannot monitor temperature automatically and precisely for the whole targets,a smart infrared temperature measuring method is proposed to determine target emissivity by image matching and to search for overheat target by auto focus.According to existing theories,combined with mixed and close distribution of high and low temperature equipments,the influence of different parameters on the temperature measurement data is discussed,including environmental factors and target features.The simulation results show that,when the temperature difference between the target and surrounding high temperature objects or the environment temperature is within a certain range,a constant or a direct proportion coefficient could be used to correct the data.The new method could increase the monitoring speed and could guarantee the precision in order to realize the real-time and accurate monitoring of the whole target area and early warning for the equipment faults.

关 键 词：智能变电站 红外监控 温度测量 误差分析 

分 类 号：TN219[电子电信—物理电子学] TM734[电气工程—电力系统及自动化]