Online Measurement of Molten Iron Temperature Field at Blast Furnace Taphole Based on Infrared and Visible Vision
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摘要: 高炉铁口铁水温度场 (Molten iron temperature field, MITF) 是表征铁水质量、判断炉温状况的重要信息. 然而高炉出铁场动态粉尘的干扰使得铁水温度场的在线准确获取充满挑战. 为此, 首次提出基于红外与可见光视觉的高炉铁口铁水温度场检测方法, 利用可见光图像为红外视觉测温提供先验粉尘干扰情况. 首先, 设计红外与可见光视觉协同的测温系统, 同步获取高炉出铁口铁水流的红外图像和可见光图像, 铁水流红外图像表征铁水原始温度场信息, 可见光图像为量化粉尘透射率提供数据基础. 其次, 构建基于色彩一致性的可见光图像中粉尘透射率估计模型和基于雾线先验的红外图像中粉尘透射率估计模型, 得到红外波段下粉尘透射率. 最后, 结合红外辐射测温原理, 构建基于粉尘透射率的红外测温近似补偿模型, 实现铁水温度场的针对性补偿, 获取误差较小的铁水温度. 工业实验表明, 相比于仅利用红外视觉测量铁水温度场, 所提方法能够显著降低粉尘造成的测温误差, 为高炉调控提供连续可靠的铁水温度数据.Abstract: The molten iron temperature field (MITF) at blast furnace taphole is an important information for characterizing the molten iron quality and judging the furnace temperature condition. However, the interference of dynamic dust in the blast furnace casting field during the tapping process makes it challenging to obtain the MITF accurately. To this end, this paper presents for the first time a measurement method for MITF at blast furnace taphole based on infrared and visible vision, which uses visible image to provide prior dust interference for infrared visual temperature measurement. Firstly, the infrared and visible vision coordination temperature measurement system is designed to obtain the infrared image and visible image of the molten iron flow at blast furnace taphole simultaneously. The infrared image of the molten iron flow represents the original MITF information, and the visible image provides the data basis for quantifying dust transmittance. Secondly, an estimation model of dust transmittance in visible images based on color consistency and an estimation model of dust transmittance in infrared images based on haze-line prior are proposed to obtain dust transmittance in infrared band. Finally, combined with the principle of infrared radiation temperature measurement, an approximate infrared temperature compensation model based on dust transmittance is constructed to realize the targeted compensation of MITF and obtain the accurate molten iron temperature with minimal error. Industrial experiments show that compared with only using infrared vision to measure the MITF, the proposed method can significantly reduce the temperature measurement error caused by dust and provide continuous and reliable molten iron temperature data for blast furnace control.
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图 4 铁水流温度场检测方法的整体框架
Fig. 4 Overall framework of molten iron flow temperature field measurement method
图 6 基于雾线先验的粉尘透射率场估计
Fig. 6 Estimation of dust transmittance field based on haze-line prior
图 8 雾线先验确定$ A $和$ J\left( x,\;y \right) $
Fig. 8 Determination of $ A $ and $ J\left( x,\;y \right) $ using haze-line prior
图 11 高炉铁口铁水流图像的透射率场估计结果和去除粉尘干扰后的图像
Fig. 11 Transmittance field results of molten iron flow image at blast furnace taphole and the image after removing dust interference
图 13 不同出铁周期得到的铁水温度
Fig. 13 Molten iron temperature obtained at different tapping periods
图 14 不同出铁周期测温绝对误差
Fig. 14 Absolute error of temperature measurement at different tapping periods
表 1 不同方法去除粉尘对铁水流干扰后的图像性能指标
Table 1 Performance indexes of molten iron flow images after removing dust interference using different methods
方法 FADE ENVR NIQE VIF STD DCID 0.6121 1.0568 5.7528 0.8151 42.6041 NHRG 0.4867 5.9504 5.7233 1.1632 59.4452 NLID 0.4343 2.6741 5.5326 1.1110 50.6340 SLID 0.4839 3.3695 5.0503 1.0318 52.0414 本文方法 0.3348 2.4984 5.9588 1.0712 25.9634 
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表 2 不同测温方法的性能指标对比
Table 2 Comparison of performance indexes of different temperature measurement methods
测温方法 $ {M E}_{\text{max }} $(℃) $ {M E}_{\text{min }} $(℃) $ {M E}_{\text{avg}} $(℃) $ {M E}_{\text{std}} $(℃) 红外测温 37.4963 4.9702 14.5571 8.4503 本文方法 12.5136 1.4967 6.5563 3.7164
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