Combining Model-Based Systems Engineering, Simulation and Domain Engineering in the Development of Industrial Automation Systems: Industrial Case Study
Combining Model-Based Systems Engineering, Simulation and Domain Engineering in the Development of Industrial Automation Systems: Industrial Case Study
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将基于模型的系统工程、仿真和领域工程结合到工业自动化系统的开发中：工业案例研究
DOI：
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发表时间：
2014
期刊：
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通讯作者：
C. Pereira
中科院分区：
文献类型：
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作者：
Ismael Scheeren;C. Pereira
由于复杂性的增加，工业自动化系统的设计变得越来越具有挑战性。从这个意义上说，努力开发基于模型的系统工程工具和方法。尽管最近取得了进展，但在实际用途和效益方面仍然存在疑问。主要关注的是工具之间的集成和多学科工件之间的信息交换。本文比较了以文档为中心的工程（CAx工具）和基于模型的系统工程（MBSE）在工业自动化系统使用真实的领域的光。因此，开发并测试了符合MBSE的方法。Eclipse平台和ModelicaML语言等商业工具用于执行抽象建模，而Siemens®的COMOS®用于开发项目文档的多学科工件。开发了一个Java应用程序来集成所选环境之间的组件信息。OpenModelica仿真器被集成到平台中，以允许系统和组件行为仿真。测试表明，这项调查所涉及的工具仍然需要进一步的发展，从抽象模型到领域特定的模型的成熟度和信息交换。另一方面，MBSE已被证明是一个重要的工具，以匹配不同的团队方法和关注，提高团队沟通使用概念范围和抽象的符号。使用Modelica将抽象ModelicaML模型连接到仿真环境，可以在实现之前更好地理解系统行为，并为早期检测项目错误和操作故障提供分析环境。
Due to increasing complexity, the design of Industrial Automation Systems are becoming more challenging. In that sense, efforts have been driven to develop Model-Based Systems Engineering tools and methods. Despite recent progress, there are still doubts in terms of the practical use and benefits. The main concerns are related to integration among tools and exchange of information between multidisciplinary artifacts. This paper compares Document-Centric Engineering (CAx tools) and Model-Based Systems Engineering (MBSE) in light of Industrial Automation Systems using a real domain. Therefore, a MBSE compliant method was developed and tested. Commercial tools such as the Eclipse platform and the ModelicaML language were used to perform abstract modeling while COMOS® from Siemens® was used to develop the multidisciplinary artifacts for project documentation. A Java application was developed to integrate component information between the selected environments. The OpenModelica Compiler was integrated to the platform to allow system and component behavior simulation. Tests have shown that the tools involved on this investigation still need further development concerning maturity and exchange of information from abstract models down to domain specific models. On the other hand, MBSE has proven to be an important tool to match different team approaches and concerns, improving team communication using conceptual-wide and abstract symbols. Connecting abstract ModelicaML models to a simulation environment using Modelica led to a better understanding of systems behavior prior to realization and provided an analysis environment for early detection of project errors and operational failures.