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Methodology for virtual commissioning based on object-oriented behavioral models with a selectable modeling depth

Methodology for virtual commissioning based on object-oriented behavioral models with a selectable modeling depth
基于具有可选建模深度的面向对象行为模型的虚拟调试方法
批准号:
183279191
负责人:
Professor Dr.-Ing. Jürgen Gausemeier
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2011
资助国家:
德国
项目状态:
已结题
起止时间:
2010-12-31 至 2015-12-31

项目摘要

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中文摘要
翻译
虚拟调试所需的建模过程非常复杂,因此往往抵消了较短的调试时间的好处。因此,本项目的总体目标是建立一种新的基于面向对象模型的工程设备虚拟调试方法。该方法以模块化结构工程工厂为基础。对于这些模块,建立了具有可变和自适应可变建模深度的行为模型。此外,该方法还包括将工厂工程过程中的虚拟调试与开发环境相结合的开发系统学,在四个定义的建模深度内对工厂模块的行为进行建模。它们的抽象程度不同,从离散时间状态机的理想化功能的图示到组件优化的最高细节。在接口模型中,定义了行为模型的接口和参数。从而使整个系统行为模型的模块化设计成为可能。各个模块的行为模型可以在其模型类中有所不同(例如,有限元、MBS),并且具有不同的建模深度。此外,对于这些模块,可以在具有不同建模深度的相关行为模型之间进行手动和自动切换。支持用户选择建模深度和模型类的方法,开发系统由过程性模型、方法和工具组成。该过程模型以机械系统基于模型的设计为基础,描述了设备工程的过程,并集成了虚拟调试。它侧重于行为模型的构建和控制程序的测试。此外,它还控制开发的方法和工具的使用。为评估工厂概念设计中已有的控制程序,开发了测试场景,这导致了对行为模型的需求,开发环境支持不同模型类和建模深度的行为模型的集成构建。模型库提供结构化存储并使创建的模型能够重复使用。项目结果将通过两个演示来验证:1)Montrac(公司Montech www.montech.com)类型的灵活物流系统2)自动化面团生产系统(Co.WP Kemper,www.wp-kemper.de)由于模型在工厂工程的整个过程中得到应用,因此该方法增强了用于虚拟调试的行为模型的好处。创建行为模型所需的工作将减少到适合需求的抽象程度。
英文摘要
The modeling process required for the virtual commissioning is very complex and hence often neutralizes the benefits of a shorter commissioning time. Therefore, the overall target of this project is to establish a new methodology for the virtual commissioning of engineering plants based on object oriented models. The methodology is based on modular structured engineering plants. For these modules behavioral models are created with variable and adaptive changeable modeling depth. Furthermore, the methodology includes development systematics for the integration of virtual commissioning in the process of plant engineering and a development environment.Modeling the behavior of the plant modules is conducted in four defined modeling depths. These differ in their degree of abstraction, ranging from the illustration of the idealized function of discrete-time state machines to the highest detail for component optimization. In an interface model, the interfaces and parameters of behavioral models are defined. Thereby the modular design of the behavioral model of the entire system is possible. The behavioral models of individual modules can differ in their model class (e.g. FEM, MBS) and have different modeling depths. Furthermore, for the modules a manual as well as an automatic switch between the associated behavioral models with different modeling depths is possible. The user is supported by a method for the selection of modeling depth and model class.The development systematics consist of a procedural model, methods and tools. The procedural model describes the process of plant engineering on the basis of model-based design of mechanical systems and integrates the virtual commissioning. It focuses on the construction of behavioral models and testing of control programs. Furthermore, it controls the use of the developed methods and tools. Test scenarios are developed for the assessment of the control programs already in the conceptual design of the plant, which results in requirements for the behavioral models.The development environment supports the integrated construction of behavioral models of different model classes and modeling depths. A model library provides the structured storage and enables the reuse of created models.The project results will be validated with two demonstrators:1) Flexible material flow system of type Montrac (Co. Montech www.montech.com)2) System for automated dough production (Co. WP Kemper, www.wp-kemper.de)The methodology enhances the benefits of behavioral models for virtual commissioning, since the models find application in the entire process of plant engineering. The efforts necessary for creating the behavioral models are reduced to a degree of abstraction that is appropriate for the requirements.
期刊论文(2)
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会议论文
Virtual Commissioning by Means of an Adaptive Selection of the Modeling Depth
通过自适应选择建模深度进行虚拟调试
DOI: 10.1115/imece2014-37964
发表时间: 2014
期刊:
影响因子: --
作者: [Schmüdderrich, Trächtler]
通讯作者: Trächtler
DOI: 10.1007/978-3-642-30817-8_3
发表时间: 2013
期刊:
影响因子: --
作者: [Schmüdderrich, Trächtler, Brökelmann, Gausemeier]
通讯作者: Gausemeier
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