道面温度测量系统设计与研究

发布时间：2018-04-19 19:31

  本文选题：道面温度 + 红外测温　； 参考：《中国科学技术大学》2017年硕士论文

【摘要】：道面温度不仅是道面气象要素之一,也是判断道路表面状态的重要依据。对道面温度的实时监测,有利于掌握道路状态、维护道路安全。本文在全辐射测温法的基础上,提出了一种优化的测温方案,设计了一种用于道面交通气象测量的非接触式道面温度测量系统,在无需接触道路表面的状态下,能够精准获取其表面温度,具有安装简单、维护方便、测量准确的优点。首先,根据实际应用需求,确定系统的测量目标,并完成了系统总体方案设计和关键系数确定。选择双窗口的热电堆红外探测器作为本系统的红外探测器,利用滤波片以及两个窗口的滤波特性分别在两个波段对外界目标辐射和系统内部辐射进行测量,以此来减小外部环境对测量的影响,并进行光学及机械系统的设计。其次,完成信号调理系统和数字信号处理系统的设计。完成对目标温度循环检测的控制,对探测器两个窗口两个输出信号的采集、放大、滤波、处理运算、外部存储及串口通信。再次,进行系统软件的设计并分析了系统误差的影响因素,通过最小二乘法以及三层BP神经网络对系统进行进一步标定和分析。实验结果表明:三层BP神经网络的拟合效果较好,测量温度的最大误差在±0.2℃。
[Abstract]:Pavement temperature is not only one of the meteorological elements of the pavement, but also an important basis for judging the surface state of the road. The real-time monitoring of road surface temperature is helpful to master the road state and maintain road safety. Based on the total radiation temperature measurement method, an optimized temperature measurement scheme is proposed in this paper. A non-contact road surface temperature measurement system is designed for road surface traffic meteorological measurement. It has the advantages of simple installation, convenient maintenance and accurate measurement. First of all, according to the practical application requirements, the measurement target of the system is determined, and the overall scheme design and the key coefficient determination of the system are completed. The dual-window thermoelectric stack infrared detector is chosen as the infrared detector of the system. The external target radiation and the internal radiation of the system are measured in two bands using the filter chip and the filtering characteristics of the two windows. In order to reduce the impact of external environment on the measurement, and optical and mechanical system design. Secondly, the design of signal conditioning system and digital signal processing system is completed. Complete the control of the temperature cycle detection of the target, the acquisition, amplification, filtering, processing operation, external storage and serial communication of two output signals of two windows of the detector. Thirdly, the system software is designed and the influencing factors of system error are analyzed. The system is calibrated and analyzed by least square method and three-layer BP neural network. The experimental results show that the three-layer BP neural network has a good fitting effect, and the maximum error of measuring temperature is 卤0.2 鈩，

本文编号：1774416