1.南京信息工程大学大气环境与装备技术协同创新中心 南京 210044; 2.南京信息工程大学江苏省气象探测与信息处理重点实验室 南京 210044
P412.1
国家自然科学基金面上项目(41875035)、江苏省产学研合作项目(BY2022544)、江苏省研究生科研与实践创新计划项目(SJCX22_0334)、江苏省高校大学生创新创业训练计划项目（202210300011Z）资助
Yao Cheng
1.Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, ChinaLiu Qingquan
1.Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, ChinaWang Yanan
1.Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology，Nanjing 210044, China； 2.Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China1.Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology，Nanjing 210044, China; 2.Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science and Technology，Nanjing 210044, China
针对传统防辐射罩内气流不易流通以及其工作能耗较大的问题，提出了一种具有低辐射误差、组合自然通风与强制通风的气象温度传感器设计。首先使用计算流体动力学(CFD)仿真分析在不同环境变量和风扇速度下的辐射误差优化设计，其次利用支持向量回归(SVR)算法训练仿真结果得到预测模型，最后搭建户外实验测试平台验证本设计的可行性以及预测模型的测量精度。实验结果表明，本文提出的气象温度传感器可将测量辐射误差降低至0.05 ℃以内，其降低辐射效果显著且预测模型准确度高，实验值与076B强制通风防辐射罩测量值的均方根误差为0.185 ℃，与预测值的均方根误差是0.129 ℃。
Focus on the problems that the airflow in the traditional radiation shield is not easy to circulate and the energy consumption of its work is relatively large, a design of a meteorological temperature sensor with low radiation error is proposed, which combined natural ventilation and forced ventilation. Firstly, Computational Fluid Dynamics (CFD) simulation is used to analyze the radiation error optimization design under different environmental variables and fan speeds. Secondly, the support vector regression (SVR) algorithm is used to train the simulation results to obtain the prediction model. Finally, an outdoor experimental test platform is built to verify the feasibility of the design and the measurement accuracy of the prediction model. The experimental results show that the proposed meteorological temperature sensor can reduce the measurement radiation error to less than 0.05 ℃, which has a significant effect on reducing radiation and the accuracy of the prediction model is high, and the RMS error between the experimental value and the measurement value of the 076B forced ventilation radiation shield is 0.185 ℃, and the RMS error with the predicted value is 0.129 ℃.
姚澄,刘清惓,杨杰,王亚楠,朱化难.一种气象温度传感器设计及实验研究[J].电子测量技术,2022,45(24):9-14
复制
