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智能工业物联网 复合材料框架 制造制造业
Boon Xian Chai1, Maheshi Gunaratne1, Mohammad Ravandi1
1Aerostructures Innovation Research Hub (AIR Hub), Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Sensors (Basel, Switzerland)
|August 10, 2024
概括
本研究介绍了使用工业物联网 (IIoT) 和物联网人工智能 (AIoT) 增强复合材料制造的智能框架. 它可以实现实时监控和人工智能驱动的预测,以提高生产性能.
科学领域:
- 材料科学与工程 材料科学与工程
- 制造业 制造技术 制造技术
- 事物的工业互联网 (IIoT)
背景情况:
- 复合材料对于高性能产品至关重要,但由于材料的变化和工艺不一致性,它们面临着制造方面的挑战.
- 现有的方法很难解决复合材料制造中固有的随机性和变化.
研究的目的:
- 为复合材料制造提出一种新的智能工业物联网 (IIoT) 框架,也称为物联网人工智能 (AIoT) 框架.
- 通过实时流程监控和基于AI的预测来提高生产性能.
主要方法:
- 开发一个AIoT框架,将传感器数据 (温度,热流,介电,流量) 与物联网平台集成.
- 实现基于人工智能的模型,用于实时生产过程监控,可视化和预测.
- 使用现实世界复合材料制造案例研究验证概念验证.
主要成果:
- 拟议的AIoT框架可以实时监控和可视化复合材料制造过程.
- 基于AI的预测准确地预测未来的过程状态,识别潜在的偏差.
- 该案例研究表明,生产性能和工艺控制的显著改善.
结论:
- 新的AIoT框架通过整合实时数据和人工智能驱动的预测,有效地解决复合材料制造方面的挑战.
- 这种方法为更强大,更高效,更可预测的复合材料生产提供了途径.
- 该框架的成功实施凸显了其在工业采用方面的潜力.
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