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A Real-Time 3D Measurement System for the Blast Furnace Burden Surface Using High-Temperature Industrial Endoscope

机译:使用高温工业内窥镜的高炉炉膛表面实时3D测量系统

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摘要

Capturing the three-dimensional (3D) shape of the burden surface of a blast furnace (BF) in real-time with high accuracy is crucial for improving gas flow distribution, optimizing coke operation, and stabilizing BF operation. However, it is difficult to perform 3D shape measurement of the burden surface in real-time during the ironmaking process because of the high-temperature, high-dust, and lightless enclosed environment inside the BF. To solve this problem, a real-time 3D measurement system is developed in this study by combining an industrial endoscope with a virtual multi-head camera array 3D reconstruction method. First, images of the original burden surface are captured using a purpose-built industrial endoscope. Second, a novel micro-pixel luminance polarization method is proposed and applied to compensate for the heavy noise in the backlit images due to high dust levels and poor light in the enclosed environment. Third, to extract depth information, a multifeature-based depth key frame classifier is designed to filter out images with high levels of clarity and displacement. Finally, a 3D shape burden surface reconstruction method based on a virtual multi-head camera array is proposed for capturing the real-time 3D shape of the burden surface in an operational BF. The results of an industrial experiment illustrate that the proposed method can measure the 3D shape of the entire burden surface and provide reliable burden surface shape information for BF control.
机译:实时,高精度地捕获高炉(BF)炉料表面的三维(3D)形状对于改善气流分布,优化焦炭操作和稳定BF操作至关重要。但是,由于高炉内部的高温,高尘,无光的密闭环境,在炼铁过程中难以实时地进行物料表面的3D形状测量。为了解决这个问题,本研究通过将工业内窥镜与虚拟多头摄像机阵列3D重建方法相结合,开发了实时3D测量系统。首先,使用专用工业内窥镜捕获原始物料表面的图像。其次,提出了一种新颖的微像素亮度偏振方法,该方法用于补偿由于封闭环境中的高灰尘水平和光线不足导致的背光图像中的重噪声。第三,为了提取深度信息,设计了基于多特征的深度关键帧分类器,以过滤出具有高清晰度和高水平位移的图像。最后,提出了一种基于虚拟多头摄像机阵列的3D形状承载面重构方法,用于捕获运行中的BF的实时3D形状。工业实验的结果表明,该方法可以测量整个负荷表面的3D形状,并为高炉控制提供可靠的负荷表面形状信息。

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