| 引用本文: | 陈相兵,倪梓明,陈先中,侯庆文,于晴.高炉燃烧料面合成孔径雷达双聚焦成像算法[J].控制理论与应用,2020,37(8):1826~1836.[点击复制] |
| CHEN Xiang-bing,NI Zi-ming,CHEN Xian-zhong,HOU Qing-wen,YU Qing.Dual-focus imaging algorithm of synthetic aperture radar for burning blast furnace burden surface[J].Control Theory and Technology,2020,37(8):1826~1836.[点击复制] |
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| 高炉燃烧料面合成孔径雷达双聚焦成像算法 |
| Dual-focus imaging algorithm of synthetic aperture radar for burning blast furnace burden surface |
| 摘要点击 1985 全文点击 587 投稿时间：2019-06-30 修订日期：2020-01-17 |
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| DOI编号 10.7641/CTA.2020.90505 |
| 2020,37(8):1826-1836 |
| 中文关键词 高炉料面 重采样插值 双聚焦 恒虚警率 图像融合 |
| 英文关键词 blast furnace-burden resampling interpolation dual-focus constant false alarm rate image fusion |
| 基金项目 国家自然科学基金资助项目(61671054), 北京市自然科学基金资助项目(4182038) |
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| 中文摘要 |
| 钢铁生产中的料位和料形是冶炼过程控制的重要指标, 基于合成孔径雷达(SAR)原理的微波成像装置可有
效提取热态径向料面特征. 针对几何形态复杂, 回波信号突变性强, 甚至会出现遮蔽效应导致雷达失波的料面中心
部分, 本文建立了中心区域双聚焦测量成像系统. 选定炉顶风罩位置对称安装两套雷达, 电机控制雷达天线匀速摆
动获取二维坐标矩阵, 用重采样插值算法将其转换成像素点均匀的矩形灰度图像; 根据尺寸参数确定炉心扫描重
叠区间, 并构建料面中心双聚焦融合算法(DfSAR)拼接双图像. 与均值融合相比, 图像互信息提高10.43%, 清晰度改
善23.91%. 最后, 采用雷达恒虚警率(CFAR)目标检测算法有效滤除高炉内粉尘颗粒物对料面图像的干扰. |
| 英文摘要 |
| The position and shape of the burden surface in ironmaking are important indicators for the control of the
smelting process. Microwave imaging device based on the principle of synthetic aperture radar (SAR) effectively extracts
radial surface information in the hot state. In the intricate center of burden surface, the echo is mutable and even no echo
with the shadowing effect. A dual-focus measurement imaging system for the center area is constructed. Two radars are
installed symmetrically at the selected position. The antenna swings with a motor moving in constant speed, and a twodimensional
coordinate matrix is obtained by radar, then the matrix is transformed into a rectangular image with uniform
pixels by resampling interpolation method. The scanning overlap area is determined according to the actual parameters
and a dual-focus SAR algorithm (DfSAR) are designed to stitch images from two radars. Compared with mean fusion, the
mutual information is improved by 10.43% and the image definition is improved by 23.91%. Finally, the constant false
alarm rate (CFAR) algorithm is used to effectively filter the interference of dust in the blast furnace on the image. |
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