Research on Material Pile Volume Measurement Based on Laser 3D Measurement

Chuanming Zhang

doi:10.6911/

Authors

Chuanming Zhang

DOI:

https://doi.org/10.6911/

Keywords:

Manuscripts; Calculation of material pile volume; Point cloud slicing; Slice selective interpolation; Sliced outer contour construction.

Abstract

A high-turnover stockpile storage system requires efficient and high-precision stock inventory capability. In this paper, a volume measurement method based on mean-drift clustering and density interpolation slicing method is proposed to solve the key technical problems such as multiple stockpile separation, point cloud sparsity and hole patching. For the point cloud data of material piles, the density interpolation slicing method is proposed, which detects low density and hole regions by selective frame interpolation, combines with the weighted average method to fill in the missing point cloud, and generates the closed outer contour by the improved contour scanning algorithm, and calculates the total volume layer by layer by accumulating using Shoelace's formula. The experimental results show that the selective frame interpolation method improves the accuracy by over 68% compared with the un-interpolated method, and the efficiency is better than that of 3D global interpolation under the condition of the same accuracy; the outer contour construction method in this paper improves the accuracy by over 80% compared with the traditional Graham algorithm, and the efficiency is better than that of Alpha Shape algorithm under the condition of the same accuracy. This method takes both accuracy and efficiency into account, and provides a reliable solution for the volume measurement of complex storage piles.

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