AI 中文总结
本文提出一种基于本体的方法，用于转换任务剖面给出的功能与环境负荷需求，结合MBSE流程与OWL语言构建支持系统，可提升工程效率、实现知识集成复用并增强知识产权保护。
AI 中文摘要
本文提出了一种基于本体的方法，用于转换所谓任务剖面（Mission Profiles，MPs）给出的感知供应链的功能需求和环境负荷需求。该方法旨在通过支持转换过程，并使转换更好地集成到现有基于模型的系统工程（Model-based Systems Engineering，MBSE）流程中，来提高工程流程的效率。我们提出了一种方法和一个支持系统，该系统在转换过程中提供帮助，而后者的特性是通过构建和处理模型实现的。后续利用标准化语言OWL来表达模型表示，进一步实现了异构系统之间更好的知识集成与传递。此外，这有利于跨项目的知识复用，可降低总体成本。而且，该系统能够去除MPs中的无关信息，从而提高知识产权保护水平。
英文摘要
This paper presents an ontology-based approach to the supply chain-aware transformation of functional and environmental load requirements given by so-called Mission Profiles (MPs). The approach aims at improving the efficiency of the engineering process through supporting the transformation process and enabling a better integration of the transformation into existing Model-based Systems Engineering (MBSE) processes. We propose a methodology and a supporting system which aids in the transformation process while the latter feature is obtained by constructing and working on models. Consequent utilization of the standardized language OWL to express model representations further enables better knowledge integration and transfer among hetero-geneous systems. In addition to that, this favors knowledge reuse across projects which can reduce overall costs. Moreover, the system enables stripping off irrelevant information from MPs, thus improving protection of intellectual property.
CommentsPublished in: 2019 International Symposium on Systems Engineering (ISSE)
Journal ref2019 International Symposium on Systems Engineering (ISSE), Edinburgh, UK, 2019, pp. 1-8
DOI：10.1109/ISSE46696.2019.8984265
