基于线性模型划分的煤流体积测量

针对基于线激光条纹的带式输送机煤量测量精度和计算效率较低、胶带运行过程中存在拖尾现象及跑偏、飘带造成的数据不对齐问题,提出了一种基于线性模型划分的煤流体积测量方法。首先,利用高速线激光相机进行煤流数据采集;然后,通过基于线性模型划分的点云配准算法将胶带底部点云数据与煤流表面数据融合,形成完整的三维煤流数据;最后,通过煤流体积测量模型实现对煤流体积的测量。试验结果表明,基于线性模型划分的煤流体积测量方法在高粉尘环境、煤流表面洒水环境、昏暗环境及正常光照环境下测量粗糙表面铁块、光滑表面铁块及实物(煤和矸石)所得结果精度均在95%以上;且光滑表面铁块较粗糙表面铁块在4种模拟环境下的测量精度高,说明物体表面平整度越好测量精度越高,环境对测量精度影响不大。实际测试结果表明,基于线性模型划分的煤流体积测量方法的测量精度均在97%以上,对应平均耗时均在80 ms以内;与基于KD树的测量方法相比,整体精度提高了6%以上,处理时效性提高了1倍。

基于图像处理的带式输送机煤体积计量

对基于激光斜射法三角测距原理的带式输送机上煤流体积实时计量进行了研究。首先对工业相机采集到的激光线进行图像处理以获取煤流截面,根据煤流表面激光线特点提出了一种能够大幅度降低搜索区域的激光线细化算法,并采用线性插值对断线进行连接,通过合成上下轮廓线形成完整煤截面;然后建立了动态煤体积计量模型,通过积分得到煤流体积。最后进行了实验,单帧图像的采集处理时间平均约为0.152 s,且算法稳定性较好,能够满足实际工况要求。

Research on Pressure Drop Performance of the Packing-Flotation Column

A packing-flotation column was proposed to optimize the flotation environment A research system was es- tablished using a 100 mm diameter cyclonic micro-bubble flotation column to study fluid properties. Dry-plate and wet- plate pressure drops were studied and the corresponding pressure drop equations developed. The results show that the dry-plate pressure drop of the packing cyclonic micro-bubble flotation column is 10–15 times less than that of the chemical tower, which is principally shown in its relatively small resistance coefficient, ξ ≈0.0207. The wet-plate pressure drop is 2–3 times higher than that of the chemical tower, which is largely caused by the separation materials and characteristics of the equipment. With flotation, the greater the pressure drop, the better the flotation environment.