SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0
SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0
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DOI：
10.3390/info12080304
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发表时间：
2021-07
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影响因子：
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通讯作者：
Sadeer Beden;Qiushi Cao;A. Beckmann
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文献类型：
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作者：
Sadeer Beden;Qiushi Cao;A. Beckmann
本文介绍了钢铁冷轧本体（SCRO）的建模和捕获领域知识的冷轧过程和活动在钢铁厂。建立了一个案例研究，使用现实世界的冷轧数据集，以验证SCRO的性能和功能。这包括使用Ontop框架部署虚拟知识图，以实现数据访问、数据集成、数据查询和基于条件的维护目的。SCRO使用OOPS！进行评估，本体缺陷检测系统，以及来自塔塔钢铁的领域专家的反馈。
This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and functionality of SCRO. This includes using the Ontop framework to deploy virtual knowledge graphs for data access, data integration, data querying, and condition-based maintenance purposes. SCRO is evaluated using OOPS!, the ontology pitfall detection system, and feedback from domain experts from Tata Steel.