首页> 外文期刊>Electronic Journal of Information Technology in Construction >Knowledge-based engineering in the context of railway design by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering applications (MOKA)
【24h】

Knowledge-based engineering in the context of railway design by integrating BIM, BPMN, DMN and the methodology for knowledge-based engineering applications (MOKA)

机译:基于知识的工程在铁路设计背景下,通过集成BIM,BPMN,DMN和基于知识的工程应用方法(Moka)的方法

获取原文
       

摘要

Designing railway infrastructure is a knowledge-intensive task. Although there are a number of mature design authoring systems available, their support for dynamically incorporating domain-specific engineering knowledge is very limited. At the same time, a standardized digital representation of railway engineering knowledge (such as building codes and best practice) does not exists. To overcome this deficiency, this paper proposes the use of Knowledge Based Engineering (KBE) to automate routine design tasks by considering multiple knowledge sources. In this scenario, KBE is used to support a Railway design authoring system. To ensure maximum transparency in the design of the developed KBE application, graphical a€?Business Process Model and Notationa€? (BPMN) has been used in combination with a€?Decision Model and Notationa€? (DMN) to formalize the underlying engineering knowledge. The KBE application has been developed according to the Methodology for Knowledge-Based Engineering Applications (MOKA). An evaluation of the BPMN/DMN approach shows that it meets up to 58% of the acceptance criteria found in the literature. In addition, BPMN and DMN can already be used in the early capture phase of MOKA and its workflows can be developed into an executable KBE application in the subsequent phases. The results of the test example discussed here show that time savings of up to 97.5% can be achieved in the execution of the KBE application.
机译:设计铁路基础设施是一个知识密集型的任务。虽然有许多成熟的设计创作系统可用,但它们对动态结合域的工程知识的支持非常有限。与此同时,铁路工程知识的标准化数字表示(如建筑码和最佳实践)不存在。为了克服这种缺陷,本文提出了使用知识的工程(KBE)来通过考虑多个知识来源来自动化日常设计任务。在这种情况下,KBE用于支持铁路设计创作系统。为确保开发KBE应用的设计中的最大透明度,图形a€?业务流程模型和符号€? (BPMN)已与A€结合使用?决策模型和符号€? (DMN)正式化潜在的工程知识。 KBE应用程序已根据基于知识的工程应用程序(Moka)的方法开发。对BPMN / DMN方法的评估表明,符合文献中发现的高达58%的验收标准。此外,BPMN和DMN已经可以用于MOKA的早期捕获阶段,并且其工作流可以在随后的阶段开发成可执行的KBE应用。这里讨论的测试示例的结果表明,在执行KBE应用时,可以实现高达97.5%的时间节省。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号