基于光纤束阵列的红外成像测温系统研究
发布时间:2018-05-19 02:29
本文选题:光纤测温仪 + 光纤传像束 ; 参考:《安徽大学》2017年硕士论文
【摘要】:在石化、电力、冶金等行业中,温度是生产过程中关键参数之一,对提高生产质量和生产率、节能降耗、保障安全生产都起到极为重要的作用。热电偶、高温辐射计、测温枪、热像仪、光纤测温仪等等测温设备在这些行业中均得到广泛应用,其中光纤测温仪应其抗干扰能力强、体积小、柔性好等特点,往往被用于某些特殊环境中。然而,传统的光纤红外测温仪是利用单根光纤测量目标表面某一点的温度,而当需要面进行温度分布监测时,则无能为力(如钢水精炼,需区分钢水和钢渣并对钢水温度进行有效检测)。本课题提出了一种基于光纤束阵列的红外成像测温方法,有效解决了上述问题。随着纤维光学技术的不断发展,光纤作为纤维光学的一种元件在医学领域、工业领域、军事及安全领域、科研领域等得到了非常广泛的应用。因此,本课题实验装置是利用光纤传像束的成像原理以及近红外网络面阵探测器,基于比色测温原理测量温度的。本论文主要完成以下几个方面的工作:1.从热辐射学中几大定律推导出双波长比色测温公式和设备因子K值表达式,阐述了本课题的理论研究方法,利用光纤传像束与近红外CCD藕接摄取热图像及靶标识别,再根据比色测温公式计算出靶标温度;2.根据实验操作需要,设计测温装置系统,主要有光纤传像束及近红外热成像传感器、高温镜头,说明了比色测温数据处理系统以及软件工作流程;3.为了提高测量准确度,减小实验误差,对系统中几个关键技术进行优化,比如红外波段选取、设备因子K值的标定等,对红外图像的处理、有效数据的提取;4.在实验室进行实验及对实验数据处理,拟合公式并反向验证;5.对实验数据进行分析。
[Abstract]:In petrochemical, electric and metallurgical industries, temperature is one of the key parameters in the production process, which plays an extremely important role in improving production quality and productivity, saving energy and reducing consumption, and ensuring safe production. Thermocouple, high-temperature radiometer, thermometer gun, thermal imager, optical fiber thermometer and so on are all widely used in these industries. Among them, fiber optic thermometer has the characteristics of strong anti-interference ability, small volume, good flexibility and so on. It is often used in certain special circumstances. However, the traditional fiber-optic infrared thermometer uses a single optical fiber to measure the temperature at a point on the surface of the target, but there is no way to monitor the temperature distribution when the surface is needed (for example, molten steel refining, It is necessary to distinguish molten steel from slag and to detect the temperature of molten steel effectively. In this paper, a method of infrared imaging temperature measurement based on fiber beam array is proposed, which effectively solves the above problems. With the development of fiber optics technology, optical fiber has been widely used in medical, industrial, military and security fields, as a component of fiber optics. Therefore, the experimental device uses the imaging principle of optical fiber image beam and the near infrared network array detector to measure temperature based on the principle of colorimetric temperature measurement. This paper mainly completes the following aspects of work: 1. Based on several laws of thermal radiology, this paper deduces the formula of double wavelength colorimetric temperature measurement and the expression of K value of equipment factor, and expounds the theoretical research method of this subject. The optical fiber image beam is used to connect with the near infrared CCD to capture the thermal image and the target recognition. Then the target temperature is calculated according to the colorimetric formula. According to the need of experiment operation, the temperature measuring device system is designed, including optical fiber image transfer beam and near infrared thermal imaging sensor, high temperature lens. The data processing system of colorimetric temperature measurement and the software work flow are described. In order to improve the accuracy of measurement and reduce the experimental error, several key techniques in the system are optimized, such as the selection of infrared band, the calibration of K value of equipment factor, the processing of infrared image and the extraction of effective data. The experiment is carried out in the laboratory and the experimental data is processed, the formula is fitted and the reverse verification is carried out. The experimental data are analyzed.
【学位授予单位】:安徽大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN216
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