数字双胞胎与智能制造工艺的知识图相遇
Georgia Stavropoulou1, Konstantinos Tsitseklis1, Lydia Mavraidi1
1School of Electrical and Computer Engineering, National Technical University of Athens, 157 80 Athens, Greece.
Sensors (Basel, Switzerland)
|April 27, 2024
概括
这项研究将知识图 (KG) 与数字双胞胎 (DT) 集成,以创建更自主和灵活的制造过程. 这种协同作用增强了自我意识,并优化了运营,以提高质量和效率.
科学领域:
- 制造业 工程 制造工程
- 计算机科学 计算机科学
- 材料科学 材料科学 材料科学
背景情况:
- 材料制造要求提高产品质量,降低运营成本,及时完成工艺.
- 数字双胞胎 (DT) 技术是开发和管理制造流程的关键推动因素.
- 知识图 (KG) 为工业应用提供结构化数据表示和高级分析.
研究的目的:
- 提出和开发一个结合知识图 (KG) 和数字双胞胎 (DT) 的综合解决方案.
- 创建高度自主和灵活的数据技术,利用KG的语义知识.
- 提高 DT 自我意识,并支持制造业的高级功能.
主要方法:
- 开发了一个域无关的KG,存储材料属性和处理信息.
- 由虚拟对象 (VO) 组成的设计的DT,每个虚拟对象抽象一个工业业务流程 (IBP) 的步骤.
- 利用KG查询编排VO操作和配置参数,增强DT自我意识.
主要成果:
- 展示了集成KG和DT解决方案的架构.
- 展示了该系统在现实世界激光玻璃曲过程中的应用.
- 集成使得DT能够动态地调整和优化制造业务.
结论:
- KG和DT之间的协同作用显著提高了制造过程的自主性和灵活性.
- 这种方法为智能制造和流程优化提供了一个强大的框架.
- 提出的解决方案有效地提高了数字双胞胎的自我意识和适应能力.
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