Software Architecture Design of Animation Studies Platform Using Structure-Behavior Coalescence Method

2021 ◽  
Author(s):  
Rui-Rui Chen ◽  
Chien-Chueg Lin ◽  
Lin Wang ◽  
William S. Chao
Keyword(s):  
New Media ◽  
Software Architecture ◽  
Systems Engineering ◽  
Teaching Quality ◽  
State Machine ◽  
Platform Design ◽  
Model Consistency ◽  
Technology Platforms ◽  
Platform Development ◽  
Model Based Systems Engineering

Animation education in the new media era is moving toward the goal of cultivating high-end talents. The development of an architecture-oriented animation studies platform provides guarantee for the training of talents in terms of teaching quality. This research uses the Internet as the medium and mobile phones and computer clients as the main technology platforms, starting from the software architecture and constructing the system model of the animation studies platform according to the Structure-Behavior Coalescence (SBC) method. The core theme of Model-Based Systems Engineering (MBSE) is a modeling language with model consistency of systems structure and systems behavior. This paper developed Structure-Behavior Coalescence State Machine (SBC-SM) as the formal language for the MBSE animation studies platform design model singularity. The model consistency will be fully guaranteed in the MBSE animation studies platform design when the SBC state machine approach is adopted. It not only improves the efficiency of platform development but also reduces the difficulty and risk of platform development.

scholarly journals Method Based on SEFT-to-Petri for Safety Analysis of Software

2018 ◽  
Vol 179 ◽  
pp. 03030
Author(s):  
Xu Sai-sai ◽  
Chen Jing ◽  
Sun Yu-ning ◽  
Gao Xin-rui ◽  
Wang Bo-han ◽  
...  
Keyword(s):  
Systems Engineering ◽  
Petri Net ◽  
Functional Model ◽  
Logic Gates ◽  
Safety Analysis ◽  
State Machine ◽  
System Software ◽  
Model Based ◽  
Model Based Systems Engineering

System safety is a vital non-functional requirement whose satisfaction is essential for system software. However, modern aerospace system software is more and more complicated, which results in a high complexity of analyzing system faults. With the increased acceptance of Model-based Systems Engineering as a new method for systems engineering, Model-based Safety Analysis is also proposed to formalize the task of safety analysis and automate the safety calculations. Our work is grounded on State/Event Fault Tree to analyze system faults and build functional model. Firstly, we can translate SEFT to state machine based on SysML with fault syntactic messages and match elements together with translating logic gates; after which, transforming state machine into Petri Net model by means of rigorous semantic relations to extract preliminary analytical model is deduced theoretically in this paper; finally, we can derive analyses of causes and results of faults from Petri Net model by adopting a set of mathematical and statistical analysis. Practically, we have also validated our work by a case study of an aeronautic control system to support this paper.

Informationsqualität in der Produktentwicklung: Modellbasiertes Systems Engineering mit expliziter Berücksichtigung von Unsicherheit/Information Quality in Product Engineering: Model-Based Systems Engineering in Explicit Consideration of Uncertainty

Konstruktion ◽  
2020 ◽  
Vol 72 (11-12) ◽  
pp. 76-83
Author(s):  
Jens Pottebaum ◽  
Iris Gräßler
Keyword(s):  
Systems Engineering ◽  
Information Quality ◽  
Engineering Model ◽  
Model Based ◽  
Product Engineering ◽  
Explicit Consideration ◽  
Model Based Systems Engineering

Inhalt Unscharfe Anforderungen, verschiedene Lösungs-alternativen oder eingeschränkt gültige Simulationsmodelle sind Beispiele für inhärente Unsicherheit in der Produktentwicklung. Im vorliegenden Beitrag wird ein modellbasierter Ansatz vorgestellt, der das industriell etablierte Denken in Sicherheitsfaktoren um qualitative Aspekte ergänzt. Modelle der Informationsqualität helfen, die Unsicherheit von Ent- wicklungsartefakten beschreibend zu charakterisieren. Mittels semantischer Technologien wird Unsicherheit so wirklich handhabbar – nicht im Sinne einer Berechnung, sondern im Sinne einer qualitativen Interpretation. Dadurch entsteht wertvolles Wissen für die iterative Anforderungsanalyse, die Bewertung alternativer System-Architekturen oder für die Rekonfiguration von Simulationen.

scholarly journals PROPOSING A SPECIFICATION STRUCTURE FOR COMPLEX PRODUCTS IN MODEL-BASED SYSTEMS ENGINEERING (MBSE)

2021 ◽  
Vol 1 ◽  
pp. 2481-2490
Author(s):  
Joshua Fahl ◽  
Tobias Hirschter ◽  
Gabriel Wöhrle ◽  
Albert Albers
Keyword(s):  
Systems Engineering ◽  
Student Development ◽  
Success Factors ◽  
Research Work ◽  
Development Project ◽  
Product Complexity ◽  
Complex Product ◽  
Complex Products ◽  
Model Based Systems Engineering ◽  
Product Specification

AbstractThis research work presents a methodological support for the specification of complex products. This is achieved by developing a specification structure in a MBSE environment. The new method draws on success factors of complex product specification, principles of MBSE and the explanatory model of PGE – Product Generation Engineering. For evaluation, the method is applied within a student development project. A high applicability and the realization of novel synergies for coping with continuously increasing product complexity is demonstrated.

scholarly journals INTEGRATION OF BLOCKCHAIN TECHNOLOGIE IN CASE OF SYSTEMS ENGINEERING AND SOFTWARE ENGINEERING IN AN INDUSTRIAL CONTEXT

2021 ◽  
Vol 1 ◽  
pp. 1887-1896
Author(s):  
Vahid Salehi
Keyword(s):  
Software Engineering ◽  
Systems Engineering ◽  
Data Entry ◽  
Product Lifecycle Management ◽  
Vehicle Engineering ◽  
Blockchain Technology ◽  
Software Engineering Process ◽  
Lifecycle Management ◽  
Model Based Systems Engineering ◽  
Industrial Context

AbstractCurrently, inconsistent software versions lead to massive challenges for many car manufacturers. This is partly because within the product lifecycle management and the software engineering process, there is no correct handling of software versions for the “data entry” (installation of software on the ECU) of the vehicles. Furthermore, there are currently major challenges for many vehicle manufacturers to ensure transparency, integrity and full traceability of SW data status vis-à-vis the legislator. To counteract these challenges, new solutions in the field of vehicle engineering are to be developed based on a new platform called “CarEngChainNet” and Blockchain technology. On the basis of the “CarEngChainNet” platform, new main and sub-chain chains will be developed that allow tamper-proof SW data management (Peer to Peer and crypto technology) across the entire PLM chain with new methods such as model-based systems engineering of the requirement, function and integration of the SW components in different areas of vehicle development. The aim is to develop new transmission chains of vehicles with individually packaged software artefacts (e.g. ECU software) that can be securely transmitted from server to server into the vehicle.

scholarly journals An Approach to Complement Model-Based Vehicle Development by Implementing Future Scenarios

2021 ◽  
Vol 12 (3) ◽  
pp. 97
Author(s):  
Christian Raulf ◽  
Moritz Proff ◽  
Tobias Huth ◽  
Thomas Vietor
Keyword(s):  
Systems Engineering ◽  
Holistic Approach ◽  
Future Scenarios ◽  
Worst Case ◽  
System Architectures ◽  
Vehicle Development ◽  
Model Based ◽  
Scenario Technique ◽  
Stakeholder Needs ◽  
Model Based Systems Engineering

Today, vehicle development is already in a process of substantial transformation. Mobility trends can be derived from global megatrends and have a significant influence on the requirements of the developed vehicles. The sociological, technological, economic, ecological, and political developments can be determined by using the scenario technique. The results are recorded in the form of differently shaped scenarios; however, they are mainly document-based. In order to ensure a holistic approach in the sense of model-based systems engineering and to be able to trace the interrelationships of the fast-changing trends and requirements, it is necessary to implement future scenarios in the system model. For this purpose, a method is proposed that enables the consideration of future scenarios in model-based vehicle development. The procedure of the method is presented, and the location of the future scenarios within the system architectures is named. The method is applied and the resulting system views are derived based on the application example of an autonomous people mover. With the help of the described method, it is possible to show the effects of a change of scenario (e.g., best-case and worst-case) and the connections with the highest level of requirements: stakeholder needs.

Implementation Strategy for Seamless Model-based Systems Engineering

ATZ worldwide ◽  
2021 ◽  
Vol 123 (7-8) ◽  
pp. 66-71
Author(s):  
Thorsten Weyer ◽  
Marcel Goger ◽  
Walter Koch ◽  
Birgit Kremer
Keyword(s):  
Systems Engineering ◽  
Implementation Strategy ◽  
Model Based ◽  
Model Based Systems Engineering

scholarly journals USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS

2021 ◽  
Vol 1 ◽  
pp. 3369-3378
Author(s):  
Stephan Husung ◽  
Christian Weber ◽  
Atif Mahboob ◽  
Sven Kleiner
Keyword(s):  
Systems Engineering ◽  
Development Process ◽  
Added Value ◽  
System Level ◽  
System Failure ◽  
Model Based ◽  
Continuous Use ◽  
Model Based Systems Engineering ◽  
Consistent Support ◽  
Modelling Approaches

AbstractModel-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.

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