DataVXApplied SciencesPaper
journal article·2025-04-04Open access

Big Data-Driven 3D Visualization Analysis System for Promoting Regional-Scale Digital Geological Exploration

Yiping Tian, Jiongqi Wu, Genshen Chen, Gang Liu, Xialin Zhang

Applied Sciences· Volume 15· Issue 7
Publisher pageOpen full text
Source abstract

Abstract

As geological exploration technology advances, geoscience relies on digitization and intelligence to address challenges such as data fragmentation, multi-source heterogeneity, and visual analysis. This study develops a big data-driven 3D visual analysis system for regional-scale applications. The system integrates three core technological components: (1) a heterogeneous cloud resource scheduling method employing an optimized CMMN algorithm with unified cloud API standardization to enhance task distribution efficiency; (2) a block model-based dynamic data aggregation approach utilizing semantic unification and attribute mapping for multi-source geological data integration; (3) a GPU-accelerated rendering framework implementing occlusion culling and batch processing to optimize 3D visualization performance. Experimental validation shows the improved CMMN algorithm reduces cloud task completion time by 2.37% while increasing resource utilization by 0.652% compared with conventional methods. The dynamic data model integrates 12 geological data types across eight categories through semantic mapping. Rendering optimizations achieve a 93.7% memory reduction and 60.6% faster visualization compared with baseline approaches. This system provides robust decision support and reliable tools for the digital transformation of geoscience work.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Geological Modeling and Analysis · Big Data Technologies and Applications · Distributed and Parallel Computing Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Computer Science, China University of Geosciences, Wuhan 430074, China

Hubei Provincial Engineering Research Center of Intelligent Geological Resources Environment Technology, Wuhan 430074, China

Engineering Technology Innovation Center of Mineral Resources Explorations in Bedrock Zones, Ministry of Natural Resources, Guiyang 550081, China

State Key Laboratory of Biogeology and Environmental Geology, Wuhan 430074, China

Hubei Key Laboratory of Intelligent Geo-Information Processing, Wuhan 430078, China

Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China

Guizhou Key Laboratory for Strategic Mineral Intelligent Exploration, Guiyang 550081, China

Funding

Major Science and Technology Special Project of Guizhou Provincial Department of Science and Technology entitled “Big Data-Based Metallogenic Regularity and Efficient Prospecting and Exploration of Strategic Mineral Resources in Western Guizhou” · National Key Research and Development Program of China · State Key Laboratory of Biogeology and Environmental Geology · Science and Technology Strategic Prospecting Project of Guizhou Province · Solid mineral digital exploration innovation talent team · Central Funds Guiding the Local Science and Technology Development · National Natural Science Foundation of China · Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources

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