Point cloud reconstruction and volume measurement method for dynamic bulk material flow

IF 5.2 2区工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY

Measurement Pub Date : 2025-05-27 DOI:10.1016/j.measurement.2025.117990

Chengcheng Hou , Yongfei Kang , Wei Qiao , Huijie Dong , Tiezhu Qiao

引用次数: 0

Abstract

Accurate volume measurement of bulk material flow on belt conveyors is a key technology and prerequisite for energy-saving control and safe operation of transportation systems. This paper presents a novel method for dynamic volume measurement of bulk material flow based on point cloud reconstruction. The proposed method comprises three main components: bulk material flow area segmentation using an enhanced PointNet++ network with multi-scale feature extraction capabilities, three-dimensional reconstruction using the α-shape algorithm to construct complete enclosed point cloud spaces, and volume calculation based on Delaunay triangulation. Experimental validation on a laboratory-scale platform demonstrated that our method maintains robust performance across varying bulk material volumes and running speeds, with an average volume measurement accuracy exceeding 97 %. The method shows particular effectiveness in industrial transportation scenarios with non-uniform loading and variable speeds.

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动态散装物料流的点云重建与体积测量方法

带式输送机散装物料流量的准确计量是运输系统节能控制和安全运行的关键技术和前提。提出了一种基于点云重构的散装物料流动态体积测量新方法。该方法包括三个主要部分：利用具有多尺度特征提取能力的增强的PointNet++网络对大块物质流区域进行分割，利用α-shape算法构建完整的封闭点云空间进行三维重建，以及基于Delaunay三角剖分的体积计算。在实验室规模平台上的实验验证表明，我们的方法在不同的散装材料体积和运行速度下保持稳健的性能，平均体积测量精度超过97%。该方法在非均匀载荷和变速的工业运输场景中显示出特别的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Measurement 工程技术-工程：综合

CiteScore

10.20

自引率

12.50%

发文量

1589

审稿时长

12.1 months

期刊介绍： Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.