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Proceedings of the 22nd International Conference on model driven engineering Languages and systems

作者： Manuela Dalibor Nico Jansen Bernhard Rumpe Louis Wachtmeister Andreas Wortmann RWTH Aachen University

ISBN: (纸本)9781728151250

model-Based systems engineering (MBSE) aims to provide a systems engineering methodology that leverages modeling methods to support design, analysis, verification, and validation of systems. As such, methodologies for MBSE have to be able to integrate heterogeneous engineering models from a variety of domains, including mechanical engineering, product design, legislation, and many more. Most research in this area usually only focuses on general system descriptions of a step in the system development process, without providing any interdisciplinary or interprocess connections. Thus, the models created by the domain experts are often unconnected and not suited for automated model transformations. We present a method to integrate abstract system descriptions in the systems modeling Language (SysML) with Computer-Aided Design (CAD) models, which are not only the primary model for geometrical hardware descriptions but also the starting point of most process chains in the context of virtual product development. The transformations of our method are realized in a plug-in for the MagicDraw modeling environment and support to generate parameters of a parameter and constraint CAD modeling approach from a SysML model. This automates the integration of abstract system descriptions with design models to foster a coherent virtual product development.

关键词： CAD sysml model-driven systems engineering tool integration

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model-driven systems engineering for Virtual Product Design 22

Model-Driven Systems Engineering for Virtual Product Design

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ACM/IEEE 22nd International Conference on model driven engineering Languages and systems Companion (modelS-C)

作者： Dalibor, Manuela Jansen, Nico Rumpe, Bernhard Wachtmeister, Louis Wortmann, Andreas Rhein Westfal TH Aachen Software Engn Aachen Germany

ISBN: (纸本)9781728151250

关键词： model-driven systems engineering SysML CAD Tool Integration

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Evaluation of Energy Supply Technologies for Autonomous Cargo Bike-Sharing System 22

Evaluation of Energy Supply Technologies for Autonomous Carg...

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22nd World Congress of the International Federation of Automatic Control (IFAC)

作者： Mukku, Vasu Dev Kania, Malte Brinken, Julius Salah, Imen Haj Assmann, Tom Otto von Guericke Univ Magdeburg Germany

ISBN: (纸本)9781713872344

Due to technological advancements and the ever- increasing demand for sustainable modes of transport, research on autonomous driving, shared mobility, and micro-mobility has gained interest, particularly in urban mobility. To facilitate such transport modes, systems like bike-sharing, car-sharing, and shared autonomous cars are implemented. However, the systems mentioned above have traffic congestion, a lack of parking space availability, and on-demand service concerns. To address the aforementioned challenges, we intend to integrate an on-demand shared-use, self-driving cargo-bikes service (OSABS) as a new mode of transportation into the urban mobility ecosystem. The selection of energy supply technology for self-driving cargo bikes is essential for making the OSABS system more environment-friendly and sustainable. Therefore, this paper aims to identify a suitable energy supply technology for our self-driving cargo bikes. Following that, we compare each technology using key performance indicators (KPIs), such as service level, implementation cost, energy consumption cost, charging station utilization, and profit analysis. Furthermore, we use the agent-based simulation model to experiment with the identified energy supply technologies, such as battery-powered and hydrogen fuel cell-powered autonomous cargo bikes. Copyright (c) 2023 The Authors. This is an open access article under the CC BY- NC-ND license (https://***/licenses/by-nc-nd/4.0/)

关键词： modelling and decision making in complex systems Efficient strategies for large scale complex systems model-driven systems engineering Micro mobility urban mobility OSABS autonomous cargo bikes battery-powered hydrogen fuel cell

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Evaluation of Energy Supply Technologies for Autonomous Cargo Bike-Sharing System

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IFAC-PapersOnLine 2023年第2期56卷 1784-1790页

作者： Vasu Dev Mukku Malte Kania Julius Brinken Imen Haj Salah Tom Assmann Otto von Guericke University Magdeburg Germany

Due to technological advancements and the ever-increasing demand for sustainable modes of transport, research on autonomous driving, shared mobility, and micro-mobility has gained interest, particularly in urban mobility. To facilitate such transport modes, systems like bike-sharing, car-sharing, and shared autonomous cars are implemented. However, the systems mentioned above have traffic congestion, a lack of parking space availability, and on-demand service concerns. To address the aforementioned challenges, we intend to integrate an on-demand shared-use, self-driving cargo-bikes service (OSABS) as a new mode of transportation into the urban mobility ecosystem. The selection of energy supply technology for self-driving cargo bikes is essential for making the OSABS system more environment-friendly and sustainable. Therefore, this paper aims to identify a suitable energy supply technology for our self-driving cargo bikes. Following that, we compare each technology using key performance indicators (KPIs), such as service level, implementation cost, energy consumption cost, charging station utilization, and profit analysis. Furthermore, we use the agent-based simulation model to experiment with the identified energy supply technologies, such as battery-powered and hydrogen fuel cell-powered autonomous cargo bikes.

关键词： modelling and decision making in complex systems efficient strategies for large scale complex systems model-driven systems engineering Micro mobility urban mobility OSABS autonomous cargo bikes battery-powered hydrogen fuel cell

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Finite Horizon Degradation Control of Complex Interconnected systems 17th

Finite Horizon Degradation Control of Complex Interconnected...

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17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM)

作者： Bjorsell, Niclas Dadash, Amirhossein Hosseinzadeh Univ Gavle Dept Elect Math & Nat Sci Gavle Sweden

In industrial production, it is of great importance to have high availability in its production equipment. Well-functioning maintenance is a significant factor for a high level of availability. This can be achieved by minimizing the number of reactive maintenance stops and optimizing scheduled maintenance. New methods for predictive maintenance provide a good opportunity for this, but most technologies that are available today are designed for individual sub-systems and they are rarely designed for a complex, interconnected machine. In the process industry, raw materials are processed into a finished product in a continuous flow through several subsystems and if one subsystem stops, the entire process flow stops. For these processes, it is more important to optimize the maintenance efforts for subsystems so maintenance can take place synchronized. This paper describes a method of supervised control that includes maintenance aspects;health parameters indicating deterioration are included in a MIMO controller. The method is verified in a simulation of a rolling mill with three rollers. The results show that it is possible to optimize the whole complex process including several subprocesses by using a health parameter as a control parameter and broadening the controllability of the system by dividing the workload in a way that all the subsystems reach the desired degradation level for maintenance in a desired optimum time. Copyright (C) 2021 The Authors.

关键词： Intelligent maintenance systems Production planning and control model-driven systems engineering Control of multi-scale systems Design of fault tolerant/reliable systems

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Semi-automatic simulation modelling. Results with Tecnomatix Portfolio in the automotive sector 17th

Semi-automatic simulation modelling. Results with Tecnomatix...

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17th IFAC Symposium on Information Control Problems in Manufacturing (INCOM)

作者： Cortes, Daniel Ramirez, Jose Villagomez, Luis E. Batres, Rafael Velilla, Ailin Gonzalez, Emilio Puente, Jaime Esparza, German Cruz, Nancy Molina, Arturo Tecnol Monterrey Sch Engn & Sci Mexico City DF Mexico BOCAR Grp Mexico City DF Mexico Siemens Ind Software Inc Mexico City DF Mexico

Nowadays, the influence of the Industry 4.0 concept has increased the use of technologies that allow systems to be connected and make decisions in a more efficient way to increase productivity and reduce expenses. Among Industry 4.0 portfolio, simulation allows the creation of scenarios to observe, analyze and forecast data without investing in physical equipment. Manufacturing flexibility demands continues changes that must be mirrored in simulation models forcing companies to invest resources in remodelling previous works;this is expensive and time-consuming. To address the continued development of manual simulations, a model is proposed to create fast, adaptable and instantiable semi-automated simulations. In this paper, there is presented the structure found while developing simulation models and, a proprietary solution to address shorter simulation cycles derived from the interaction within the industry. There are also achieved successful results for delving in the case study in the automotive sector. The main result when applying the model is pointed out in the time saved to semi-automate functional and reusable simulation models. Copyright (C) 2021 The Authors.

关键词： Industry 4.0 Discrete event simulation Resilient systems Decision systems model-driven systems engineering Simulation cycle Plant Simulation Collaborative Network

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modeling and Analysis of Partitions on Functional Architectures Using EAST-ADL 1

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7th International Conference on model-driven engineering and Software Development (modelSWARD)

作者： Etzel, Christoph Bauer, Bernhard Univ Augsburg Inst Comp Sci Augsburg Germany

ISBN: (数字)9783030378738

ISBN: (纸本)9783030378738;9783030378721

The complexity in automotive systems engineering is increasing over the last decade. Autonomous driving and new comfort functions are some reasons for this growing complexity. With the introduction of multi-core processors in automotive system architectures, the shift from sequential to parallel thinking is more and more important in the different development phases. Based on the EAST-ADL, we present an approach to support the design process for distributed systems by using partitioning as an additional viewpoint on the architecture level. Therefore, we developed an extension to the EAST-ADL for partitioning and show automatic partitioning analysis on different architecture abstractions. These derived partitions can support system designers during the design process of functional architectures, by having a first insight how independent the functional components are structured from a data dependency viewpoint. This gives hints for the allocation of functions to hardware in later stages of the development process.

关键词： System architecture model-driven systems engineering Automotive systems engineering

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Semi-automatic simulation modelling. Results with Tecnomatix Portfolio in the automotive sector

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IFAC-PapersOnLine 2021年第1期54卷 576-581页

作者： Daniel Cortés José Ramírez Luis E. Villagomez Rafael Batres Ailin Velilla Emilio Gonzalez Jaime Puente Germán Esparza Nancy Cruz Arturo Molina Tecnologico de Monterrey School of Engineering and Sciences Mexico City Mexico BOCAR Group State of Mexico Mexico Siemens Industry Software Inc. Mexico City Mexico

Nowadays, the influence of the Industry 4.0 concept has increased the use of technologies that allow systems to be connected and make decisions in a more efficient way to increase productivity and reduce expenses. Among Industry 4.0 portfolio, simulation allows the creation of scenarios to observe, analyze and forecast data without investing in physical equipment. Manufacturing flexibility demands continues changes that must be mirrored in simulation models forcing companies to invest resources in remodelling previous works; this is expensive and time-consuming. To address the continued development of manual simulations, a model is proposed to create fast, adaptable and instantiable semi-automated simulations. In this paper, there is presented the structure found while developing simulation models and, a proprietary solution to address shorter simulation cycles derived from the interaction within the industry. There are also achieved successful results for delving in the case study in the automotive sector. The main result when applying the model is pointed out in the time saved to semi-automate functional and reusable simulation models.

关键词： Industry 4.0 Discrete event simulation Resilient systems Decision systems model-driven systems engineering Simulation cycle Plant Simulation Collaborative Network

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Finite Horizon Degradation Control of Complex Interconnected systems ⁎

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IFAC-PapersOnLine 2021年第1期54卷 319-324页

作者： Niclas Björsell Amirhossein Hosseinzadeh Dadash University of Gävle Dept. of Electronics Mathematics and Natural Sciences Gävle Sweden

In industrial production, it is of great importance to have high availability in its production equipment. Well-functioning maintenance is a significant factor for a high level of availability. This can be achieved by minimizing the number of reactive maintenance stops and optimizing scheduled maintenance. New methods for predictive maintenance provide a good opportunity for this, but most technologies that are available today are designed for individual sub-systems and they are rarely designed for a complex, interconnected machine. In the process industry, raw materials are processed into a finished product in a continuous flow through several subsystems and if one subsystem stops, the entire process flow stops. For these processes, it is more important to optimize the maintenance efforts for subsystems so maintenance can take place synchronized. This paper describes a method of supervised control that includes maintenance aspects; health parameters indicating deterioration are included in a MIMO controller. The method is verified in a simulation of a rolling mill with three rollers. The results show that it is possible to optimize the whole complex process including several sub-processes by using a health parameter as a control parameter and broadening the controllability of the system by dividing the workload in a way that all the subsystems reach the desired degradation level for maintenance in a desired optimum time.

关键词： Intelligent maintenance systems Production planning control model-driven systems engineering Control of multi-scale systems Design of fault tolerant/reliable systems

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Extending EAST-ADL for modeling and Analysis of Partitions on Functional Architectures 7th

Extending EAST-ADL for Modeling and Analysis of Partitions o...

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7th International Conference on model-driven engineering and Software Development (modelSWARD)

作者： Etzel, Christoph Bauer, Bernhard Univ Augsburg Inst Comp Sci Augsburg Germany

ISBN: (纸本)9789897583582

The complexity in automotive systems engineering is increasing over the last decade. In particular, new comfort functions as well as functions towards autonomous driving are reasons for this complexity. A new dimension is introduced by the usage of multi-core processors since there is a shift from sequential to parallel thinking in the different development phases. Therefore, in this paper we present an approach for supporting the development process of distributed systems aligned with the EAST-ADL approach, by using partitioning. We present an extension to EAST-ADL for partitioning and show ways how an automatic partitioning on different levels of abstraction can be achieved. These partitions can support system designers during the design process of functional architectures, by giving a first insight how well the functional components can be distributed on hardware in later stages of the development process.

关键词： System Architecture model-driven systems engineering Automotive systems engineering EAST-ADL

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