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    基于计算机视觉在线监测定向刨花板断面密度梯度(VDP)

    Monitoring vertical density profile (VDP) of oriented strand board by computer vision

    • 摘要:
      目的 断面密度梯度(VDP)是影响定向刨花板物理力学性能的重要因素,以往的研究大部分采用模拟预测等间接方式获取VDP。为了快速、准确、直接获取热压过程中定向刨花板的VDP,将计算机视觉技术应用于VDP的在线监测。
      方法 利用计算机视觉技术处理热压过程中采集的照片,快速、准确地识别、标记刨花,计算瞬时压缩比例和密度,实现VDP的在线监测。在实验室制备陡峭型和平坦型两种VDP的定向刨花板。在热压过程中,采用VDP在线监测方法跟踪记录标记刨花位置,并计算压缩比例和区域密度;使用热敏电阻同步记录板坯表芯层温度,断面密度扫描仪计算区域密度。将实际结果与监测结果对比,以验证该技术的可靠性。
      结果 (1)该监测方法具有快速、准确、数据完整的特点;(2)板坯瞬时平均压缩比例与标记刨花的瞬时平均压缩比例的相关系数均值大于0.990,区域密度的监测值和实际值的相关系数大于0.840,说明VDP在线监测方法能够准确获得瞬时压缩比例和区域密度;(3)该监测方法能够直观反映热压过程中VDP的形成过程,为解译VDP的形成原理提供新的技术手段。
      结论 本研究基于计算机视觉技术开发了一种快速、准确监测定向刨花板VDP的方法。计算机视觉的应用可以为人造板的生产优化提供新的技术选择。

       

      Abstract:
      Objective The vertical density profile (VDP) is an important factor affecting the physical and mechanical properties of oriented strand board (OSB). Previous studies have mostly used indirect methods such as simulation prediction to obtain VDP. To quickly, accurately, directively obtain the VDP of OSB during the hot-pressing process, computer vision technology was applied in online monitoring of VDP.
      Method Computer vision techniques were used to handle photographs collected during the hot-pressing process, so as to quickly and accurately identify and mark wood flakes, calculate the instantaneous compression ratio and density, and achieve online monitoring of VDP. Two types of OSB, with conventional and uniform VDP, were prepared in the laboratory. During hot-pressing process, the online technology for monitoring VDP was used to track and record the positions of marked strands, and calculate the compression ratios and partial density. Thermistors were used to synchronously record the temperatures of surface and core layers of the board. Cross-sectional density scanner was used to calculate partial density. The accuracy of this technology was verified by comparing the actual results with monitoring results.
      Result (1) This technology was characterized by its speed, accuracy and completeness of data. (2) The mean correlation coefficient between instantaneous average compression ratio of the board and that of the marked strands was greater than 0.990. The correlation coefficient between the monitoring values and actual values of partial density was greater than 0.840. So the online technology for monitoring VDP can accurately obtain the instantaneous compression ratio and partial density of board. (3) The online technology can directely reflect the formation process of VDP during the hot-pressing process, providing a new method for interpreting the formation principles of VDP.
      Conclusion A technology for online monitoring VDP of OSB in real-time based on computer vision has been developed. The application of computer vision can provide a new technical choice for optimizing the production of wood-based panels.

       

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