利用大数据处理形成矿区地质信息模型

2023 IEEE International Conference on Smart Information Systems and Technologies (SIST) Pub Date : 2023-05-04 DOI:10.1109/SIST58284.2023.10223545

Utepbergenov Irbulat, Vladimir Yavorskiy, Yelena Klyuyeva

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引用次数: 0

摘要

本文介绍了在地物信息与分析建模领域的研究成果。研究中使用的原始数据是使用无人驾驶飞行器(UAV)获得的。使用Apache Hadoop、Apache Spark等大数据技术进行数据存储和分析。采用Delaunay三角剖分算法构建表面骨架。实现算法A*，在结果图中寻找最短路径。

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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Using Big Data Processing for Forming the Information Model of the Mining and Geological Area

The article presents the results of the study in the field of information and analytical modeling of territorial objects. The raw data used in the study was obtained using unmanned aerial vehicles (UAV). Big Data technologies such as Apache Hadoop and Apache Spark were used for data storage and analysis. The Delaunay triangulation algorithm was used to construct the surface skeleton. Algorithm A* was implemented to find the shortest paths in the resulting graph.

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2023 IEEE International Conference on Smart Information Systems and Technologies (SIST)

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