Validation of Data Collection Methods for Survey Stockpiles Measurement

被引：1

作者：

Hulanova, Martina ^{[1
]}

Kutil, Lukas ^{[1
]}

Staniczkova, Marcela ^{[1
]}

Cernota, Pavel ^{[1
]}

Stankova, Hana ^{[1
]}

机构：

[1] VSB Tech Univ Ostrava, Fac Min & Geol, Dept Geodesy & Mine Surveying, 17 Listopadu 15, Ostrava 70800, Czech Republic

来源：

INZYNIERIA MINERALNA-JOURNAL OF THE POLISH MINERAL ENGINEERING SOCIETY | 2023年 / 02期

关键词：

stockpiles; laser scanning; drone; iPhone; measuring; volume calculation;

D O I：

10.29227/IM-2023-02-68

中图分类号：

TD [矿业工程];

学科分类号：

0819 ;

摘要：

The paper focuses on validating data collection methods for surveying stockpiles, critical in industries like construction and mining, ranging from traditional manual approaches to advanced technologies such as LiDAR and drones. The study assesses accuracy and reliability, considering factors like equipment precision and data processing. It examines various measurement techniques and devices, comparing their accuracy, usability, and results. This work underscores the importance of reliable data in fostering efficiency and sustainability across industries.

引用

页码：141 / 146

页数：6

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