基于红外热像的钢水测温模型研究

摘要

In order to improve the temperature measurement accuracy of molten steel,an experimental platform based on the principle of thermal radiation temperature measurement is set up,and the infrared images of molten steel under the different temperatures are obtained.The average gray value of the image is extracted using MATLAB,and then fit-ting curve of the temperature and gray is obtained using the least squares method and BP neural network.Finally,the model of the infrared temperature measurement is gotten,and the molten steel temperature measurement error reaches 1 %,which meets the requirement of the measurement precision.This method lays a foundation for the research on molten metal online infrared temperature measurement.%基于热辐射测温原理，介绍了红外热像仪测温理论，为了提高钢水的测温精度，搭建了实验平台，经过实验获得不同温度下钢水的红外图像。利用 Matlab 软件提取图像的灰度均值，用最小二乘法和 BP 神经网络进行温度－灰度拟合曲线，从而得到红外热像测温的模型，使钢水测温误差达到了1％，最终达到测量精度和设计要求，此方法为熔融金属在线红外热像测温的研究打下了坚实的基础。