A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing
A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing
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DOI：
10.1109/mis.2023.3235677
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发表时间：
2023-01
影响因子：
6.4
通讯作者：
Fadi El Kalach;Ruwan Wickramarachchi;R. Harik;A. Sheth
中科院分区：
文献类型：
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作者：
Fadi El Kalach;Ruwan Wickramarachchi;R. Harik;A. Sheth
制造业的下一个阶段将集中在从传统自动化系统到自主系统的转变上。未来的工厂需要敏捷，允许更多的定制生产和抗干扰能力。这些生产线将能够根据需要重新分配资源，并在满足市场需求的同时尽量减少停机时间。这些系统必须能够根据机器状态、传感器/物联网数据和检测结果等参数进行复杂的决策。目前的生产线缺乏这种复杂的能力，而是专注于机器层面的低级决策，而没有充分利用生成的数据。本文通过介绍应用于管理生产线的语义Web功能，展示了这种自治的进展。最后，一个完全自主的制造业的用例也被开发，以展示语义Web在制造业的背景下的价值。该用例利用不同的数据源和领域知识来完成制造过程，尽管设备出现故障。它突出了语义Web在制造业中的好处，通过集成异构信息所需的过程中完成。这提供了一种方法，自主制造尚未完全实现的语义Web和制造的交叉点。
The next phase of manufacturing is centered on making the switch from traditional automated to autonomous systems. Future factories are required to be agile, allowing for more customized production and resistance to disturbances. Such production lines would be able to reallocate resources as needed and minimize downtime while keeping up with market demands. These systems must be capable of complex decision-making based on parameters, such as machine status, sensory/IoT data, and inspection results. Current manufacturing lines lack this complex capability and instead focus on low-level decision-making on the machine level without utilizing the generated data to its full extent. This article presents progress toward this autonomy by introducing Semantic Web capabilities applied to managing the production line. Finally, a full autonomous manufacturing use case is also developed to showcase the value of Semantic Web in a manufacturing context. This use case utilizes diverse data sources and domain knowledge to complete a manufacturing process despite malfunctioning equipment. It highlights the benefit of Semantic Web in manufacturing by integrating the heterogeneous information required for the process to be completed. This provides an approach to autonomous manufacturing not yet fully realized at the intersection of Semantic Web and manufacturing.