一种非接触式道面温度测量系统研制

摘要

道面温度是道面气象要素之一,也是判断道路表面状态的重要依据.测量道面温度的非接触式红外测温系统基于全辐射测温法,用热释电探测器接收道面红外辐射进行系统整体设计及数据分析,分别采用最小二乘法和BP神经网络算法进行标定.结果表明:三层BP神经网络的拟合效果较好,系统测量误差在1％以内.通过外场实验并与PT100对比,相关系数达到0.999,能实现对道面温度的精准测量.%Road surface temperature is not only one of meteorological elements of road surface,but also an important basis for judging the road surface condition.A non-contact infrared temperature measurement system to measure the road surface temperature uses pyroelectric detector receive road surface infrared radiation with total radiation temperature measuring method,completing the overall system design and data analysis,and calibrating the temperature with minimum double multiplication and BP neural network.The experimental results show that the three-layer BP neural network calibration has better fitting effect and the error is less than 1％.And through the experiment,compared to PT100 the correlation coefficient is 0.999.It can measure the road surface temperature accurately.