热电堆型总辐射传感器设计与温漂误差修正

Design and temperature drift error correction of a thermopile total solar radiation sensor

总辐射是气象探测、太阳能资源利用等领域中的一种重要测量参数。针对环境温度会影响总辐射测量准确度的问题,提出了一种基于热电效应的总辐射传感器设计,利用计算流体动力学方法对该传感器探头进行了流-固耦合传热分析。设计了一种高精度温度测量电路,搭建了测试平台,对-20℃~40℃范围的传感器温度特性进行了测试,并提出了一种利用BP神经网络算法消除环境温度引起的总辐射测量误差的方法。实验结果表明,该热电堆型总辐射传感器的读数精度可达2.79%,在气象探测、光伏电站等领域具有一定的应用潜力。

Total solar radiation is an important measurement parameter in the field of meteorological observation. A total solar radiation sensor design based on the thermopile principle is proposed. A computational fluid dynamic method is utilized to analyze the heat transfer of the sensor probe. A high precision temperature measurement circuit is designed, while a test platform is built to obtain the temperature characteristics of the sensor in the range of-20 ℃ ~ 40 ℃. A method of eliminating the measurement error caused by ambient temperature using Back Propagation( BP) neural network algorithm has been proposed. The experimental results show that the reading accuracy is 2. 79 %. The sensor may find potential applications in meteorology and photovoltaic systems.