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Implementation of an Ontology-based Data Access Application for Cross-domain Access of Energy Efficiency KPIs in Smart Factories

机译:在智能工厂中实现基于本体的数据访问应用程序,用于跨域访问能效KpI

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摘要

A smart factory is defined as a factory, which is composed of automated energy consumer machines and facilities that are integrated with IT technologies. Factories are considered as one of the highest energy consumers in 21st century. Increasing energy prices due to the limited nature of fossil energy sources and environmental legislation stresses on the importance of energy efficiency performance of smart factories. Many Manufacturers by taking the advantage of energy management systems are trying to improve energy efficiency of the factories. There are many factories which are applying different tools aiming to compute energy efficiency Key Performance Indicators (KPIs). In order to have an energy efficient factory and subsequently stronger energy management, these KPIs are needed to be usable, operational and easily accessible by the factory’s experts. Data relevant to the Energy efficiency KPIs are usually stored in Relational Databases (RDB). RDBs are working under Relational Database Management Systems (RDBMS). However, RDBMS has a rigid data structure and basically are built biased to serve the implementations and component installation strategies of the manufacturing process. Therefore, RDBs cannot meet the requirements to have a conceptual data model. Use of a proper ontology as a semantic model of the manufacturing domain, on top of RDBs seems to be a promising solution to overcome this problem. Ontologies are considered as a reliable tool for providing a shared conceptualization of the domain of interest. This facilitates the cross-domain access of KPIs in the factory. Retrieving data from RDBs through on ontology model is called Ontology-Based Data Access (OBDA). OBDA is based on correspondences between the relational database and ontology model.This research work results in development of OBDA application for energy efficiency KPIs. The designed OBDA for KPIs is applicable within a service-oriented manufacturing enterprise. The developed OBDA application was implemented in premises of Tampere University of Technology. The results of this implementation demonstrate ease of cross-domain access to energy efficiency KPIs. The research leading to these results was partially funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n° 600058.
机译:智能工厂被定义为由与IT技术集成的自动化能源消费机器和设施组成的工厂。工厂被认为是21世纪能源消耗最高的国家之一。由于化石能源的有限性和环境法规,能源价格上涨强调了智能工厂提高能效的重要性。许多制造商通过利用能源管理系统来提高工厂的能源效率。有许多工厂正在使用不同的工具来计算能效关键绩效指标(KPI)。为了拥有高效的工厂并随后加强能源管理,工厂的专家需要这些KPI可用,可操作且易于访问。与能效KPI相关的数据通常存储在关系数据库(RDB)中。 RDB正在关系数据库管理系统(RDBMS)下工作。但是,RDBMS具有严格的数据结构,并且其构建偏向于服务于制造过程的实现和组件安装策略。因此,RDB无法满足拥有概念数据模型的要求。在RDB之上使用适当的本体作为制造领域的语义模型似乎是克服此问题的有前途的解决方案。本体被认为是提供感兴趣域共享概念的可靠工具。这有助于工厂中KPI的跨域访问。通过本体模型从RDB检索数据称为基于本体的数据访问(OBDA)。 OBDA基于关系数据库和本体模型之间的对应关系。这项研究工作导致开发了能效KPI的OBDA应用程序。为KPI设计的OBDA适用于面向服务的制造企业。开发的OBDA应用程序是在坦佩雷工业大学的校区实施的。此实施的结果表明,跨域访问能效KPI变得容易。导致这些结果的研究部分由欧盟第七框架计划(FP7 / 2007-2013)根据资助协议号600058资助。

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