量子电子学报, 2018, 35 (4): 486, 网络出版: 2018-08-24  

轧钢炉中高温CO气体红外被动遥测模拟与分析

Simulation and analysis of infrared passive remote detection of high temperature CO gas in rolling furnace of steel
作者单位
1 中国科学院安徽光学精密机械研究所中国科学院环境光学与技术重点实验室, 安徽 合肥 230031
2 中国科学技术大学, 安徽 合肥 230026
摘要
被动傅里叶变换红外(FTIR)光谱技术具有远程操作、在线分析和不需要 红外光源等优点。基于此技术 分析了被动遥测轧钢加热炉内燃烧过程中高温一氧化碳(CO)气体浓度计算的相关理论与方法。针对加 热炉辐射光谱测量包含两层均质红外辐射传输介质的情况,提出了采用炉膛外壁控温改变遥测背景红外辐 射,从而获得炉内CO特征光谱的方法。基于轧钢过程中的燃烧工况进行了CO浓度模拟计算与分析,讨论了CO温 度测量误差对测量浓度反演精度的影响,为该技术的实际应用提供了参考数据及技术方案。
Abstract
Passive Fourier transform infrared (FTIR) technology has the advantages of remote operation, on-line analysis and no need for infrared light source etc. Based on the technology, the theory and method of calculating concentration of carbon monoxide (CO) gas at high temperature during combustion in rolling furnace of steel are analyzed. Aiming at the situation that radiation spectral measurement of heating furnace consists of two-layers homogeneous infrared radiation transfer medium, a method of changing the infrared radiation of remote sensing background by temperature control on the outside wall of furnace is proposed to obtain the characteristic spectrum of CO in furnace. Based on the combustion condition in rolling process, CO concentration simulation and analysis are carried out, and the effects of CO temperature measurement error on accuracy of measurement concentration inversion are discussed. The reference data and technical scheme are provided for the practical application of this technology.

高乾坤, 刘文清, 张玉钧, 高闽光, 李相贤. 轧钢炉中高温CO气体红外被动遥测模拟与分析[J]. 量子电子学报, 2018, 35(4): 486. GAO Qiankun, LIU Wenqing, ZHANG Yujun, GAO Minguang, LI Xiangxian. Simulation and analysis of infrared passive remote detection of high temperature CO gas in rolling furnace of steel[J]. Chinese Journal of Quantum Electronics, 2018, 35(4): 486.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!