Accurately measuring the mass flow of molten iron at the bottom of a blast furnace is of great significance for energy savings and efficient operation in the iron making process. However, the lack of texture information on the surface of molten iron will severely limit the accuracy of conventional displacement reconstruction algorithms. To this end, this article presents a methodology based on trusted region stacking, which can estimate an accurate displacement distribution of the molten iron surface through automatic location, tracking, and stacking of the trusted region. Subsequently, a falling motion model of the molten iron was proposed, and combined with the displacement distribution of the molten iron surface, the accurate measurement of the molten iron velocity at the outlet of the swing nozzle was realized even if the image of the molten iron there is missing. Therefore, the mass flow of molten iron is determined with the a priori information of the outlet shape of the swing nozzle. Industrial experiments illustrate that the proposed method can stably and accurately measure the molten iron mass flow and estimate the weight of molten iron in the iron ladle.

中文翻译：

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基于可信区域叠加的高炉铁水质量流量测量，使用单台高速相机

准确测量高炉底部铁水的质量流量对于炼铁过程中的节能和高效运行具有重要意义。然而，铁水表面纹理信息的缺乏将严重限制传统位移重建算法的准确性。为此，本文提出了一种基于可信区域叠加的方法，通过可信区域的自动定位、跟踪和叠加，可以估计出准确的铁水表面位移分布。随后，提出了铁水下落运动模型，并结合铁水表面位移分布，即使丢失铁水图像，也能准确测量摆嘴出口处的铁水速度。因此，铁水的质量流量由下式确定摆动喷嘴出口形状的先验信息。工业实验表明，该方法能够稳定、准确地测量铁水质量流量，估算铁水包中铁水的重量。