知识约束的构建:3D结构建模的案例研究
Cai Lu1, Xinran Xu2, Bingbin Zhang1
1School of Information and Communication Engineering, University of Electronic and Science Technology of China, Chengdu, China.
Scientific reports
|February 26, 2024
概括
本研究引入了以知识为导向的地质建模,以克服解释的不确定性. 它使用知识规则推理和语义知识图来准确的3D地质结构建模.
科学领域:
- 地质科学 地质科学
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 数据驱动的地质建模面临着由于结构解释不确定性的挑战.
- 现有的方法与复杂的地质结构作斗争,阻碍了实际应用.
研究的目的:
- 使用知识导向方法开发智能结构建模方法.
- 提高复杂地质结构建模的准确性和可靠性.
主要方法:
- 利用知识规则推理从解释性数据中提取拓学语义知识.
- 采用基于规则的知识推断系统来推导结构约束.
- 代表提取的知识作为计算机识别的拓语义知识图.
主要成果:
- 通过衍生结构信息成功限制了3D地质结构建模过程.
- 能够在3D地质建模过程中准确估计交叉线.
- 通过使用现实世界的数据,验证了该方法在各种复杂的地质结构中的适用性.
结论:
- 提出的以知识为导向的方法有效地解决了地质解释中的不确定性.
- 该方法在现实地质工作区域中促进智能结构建模.
- 这提高了复杂的地质结构建模技术的实际生产和应用.
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