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Silicon Melt Liquid Level Detection Based on Improved Laser Trigonometry

机译:基于改进的激光三角法的硅熔液液位检测

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In order to improve the robustness of laser triangulation to detect the liquid level of silicon melt, this paper firstly proposes a method of calculating the laser spot coordinates based on the voting mechanism. The vote is taken according to the coordinates of small laser spots, which are formed by the effect of liquid surface fluctuation on the line laser in the liquid level measurement image. Secondly, the Kalman filter method is used to correct the liquid level measurement data and compensate the missing data. Then the linear conversion is performed to obtain the liquid level value. Finally, the experimental results show that this method can effectively improve the robustness of the liquid level measurement by the laser triangulation method, and avoid the generation of impulse noise. The introduction of the Kalman filter can accurately correct the level measurement data and compensate for missing data.
机译:为了提高激光三角剖分检测硅熔体液位的鲁棒性,本文首先提出一种基于表决机制的激光点坐标计算方法。投票是根据小激光点的坐标进行的,这些激光点是由液面测量图像中的行激光的液面波动影响而形成的。其次,使用卡尔曼滤波方法来校正液位测量数据并补偿丢失的数据。然后进行线性转换以获得液位值。最后,实验结果表明,该方法可以有效提高激光三角测量法测量液位的鲁棒性,避免产生脉冲噪声。卡尔曼滤波器的引入可以准确地校正电平测量数据并补偿丢失的数据。

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