基于多通道状态感知的高精度红外测温校正算法

High precision infrared temperature measurement correction algorithm based on multi⁃channel state perception

为了提升变电站室外电力设备温度监控系统的测温精度,对红外测温校正算法进行了深入的研究。通过引入背景物补偿算子,对基于多通道的传统红外双色测温法加以改进,使得改进后的测温方法能够消除物体表面发射率与环境温度对红外测温的干扰。此外,所提算法还使用三次样条法替代了传统双色测温法中的最小二乘法来进行插值,并提升了测温时的曲线插值效率。同时为了评估算法的性能,在实际生产环境下对变电站室外测温系统进行了部署,测试分析结果表明,改进后的红外测温算法平均相对误差为1.14%,而最小二乘法的平均相对误差为2.01%,测量精度相对提升了43.28%。

In order to improve the temperature measurement accuracy of outdoor power equipment temperature monitoring system in substation,the infrared temperature measurement correction algorithm is deeply studied.By introducing the background compensation operator,the traditional two⁃color infrared temperature measurement method based on multi⁃channel is improved,so that the improved temperature measurement method can eliminate the interference of object surface emissivity and ambient temperature.In addition,the proposed algorithm also uses cubic spline method to replace the least square method in the traditional two⁃color temperature measurement method for interpolation,and improves the curve interpolation efficiency in temperature measurement.At the same time,in order to evaluate the performance of the algorithm,the outdoor temperature measurement system of the substation is deployed in the actual production environment.The test and analysis results show that the average relative error of the improved infrared temperature measurement algorithm is 1.14%,while the average relative error of the least square method is 2.01%,and the measurement accuracy is improved by 43.28%.