吴冲龙, 何珍文, 翁正平, 刘军旗. 2011: 地质数据三维可视化的属性、分类和关键技术. 地质通报, 30(5): 642-649.
    引用本文: 吴冲龙, 何珍文, 翁正平, 刘军旗. 2011: 地质数据三维可视化的属性、分类和关键技术. 地质通报, 30(5): 642-649.
    WU Chong-long, HE Zhen-wen, WENG Zheng-ping, LIU Jun-qi. 2011: Property, classification and key technologies of three-dimensional geological data visualization. Geological Bulletin of China, 30(5): 642-649.
    Citation: WU Chong-long, HE Zhen-wen, WENG Zheng-ping, LIU Jun-qi. 2011: Property, classification and key technologies of three-dimensional geological data visualization. Geological Bulletin of China, 30(5): 642-649.

    地质数据三维可视化的属性、分类和关键技术

    Property, classification and key technologies of three-dimensional geological data visualization

    • 摘要: 地质数据三维可视化具有显著的空间决策支持属性,其应用分类包括表达可视化、分析可视化、过程可视化、设计可视化和决策可视化。能否实现这两类"五个可视化",是检验所有地质三维可视化软件的水平和质量的试金石。地质数据三维可视化技术在矿产资源勘查、工程地质勘查、矿山设计开发、水利水电工程设计、地质灾害勘查治理和国防工程建设领域,有着广泛的需求和应用前景。其发展趋势是实现地上、地下、地理、地质数据一体化三维可视化采集、存储、管理、处理和集成应用。复杂地质结构的表达和快速动态建模方法和技术,仍将是未来一段时间的研究重点,引进知识驱动和本体论思路、方法,可能是解决这些问题的有效途径。

       

      Abstract: Three-dimensional geological data visualization, which application classification includes expression visualization, analysis visualization, procedure visualization, design visualization and decision visualization, has a prominent property of spatial decision support. The problem whether the geological visualization software can implement these five kinds of visualization or not constitutes the touchstone. The technologies for three-dimensional visualization of geological data have wide requirements and application prospects in many fields, such as mineral resources exploration, engineering geological investigation, mine design and development, water conservancy and hydroelectric engineering design, geological hazard survey and prevention and defense engineering construction. Its development tendency is to implement the three-dimensional integrated visualized collection, storage, management, handling and integrated application of geographical data and geological data at surface and in the depth. The expression of the complex geological structure and the rapid dynamic modeling method and technology will be the research focus for some time in the future. The introduction of knowledge driven thinking and ontology may be an effective and adequate solution of these problems.

       

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