Ontology-Driven Design and Development of Situation Assessment Software in Cyber-Physical Systems

2020 ◽  
pp. 51-76
Author(s):  
Sergey Vyacheslavovich Lebedev ◽  
Michail Panteleyev
Keyword(s):  
Software Design ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
Fusion Model ◽  
Software Synthesis ◽  
Design And Development ◽  
Situation Assessment ◽  
Physical Systems ◽  
Level Of Automation ◽  
Programming Techniques

Evolution of cyber-physical systems (CPS) and extension of their application areas complicate, among other things, their software design and development. This requires improvements in programming techniques used to build CPS. One of the important tasks arising in complex CPS is a situation assessment (SA) based on data received from diverse sources. In the chapter, an ontology-driven approach for CPS SA software design and development automation is proposed. The approach is based on the JDL data fusion model and flexible enough to be applied for any class of CPS applications. In contrast to known approaches, ontologies are used not only for domain knowledge representation but also for SA calculation process formalization. It provides a higher level of automation of SA software synthesis and, in the end, increases design and development efficiency.

scholarly journals Software design patterns for cyber-physical systems of buildings

2020 ◽  
Vol 15 (86) ◽  
pp. 48-62
Author(s):  
Aleksej Kychkin ◽  
◽  
Aleksandr Deryabin ◽  
Olga Vikentieva ◽  
Lidiia Shestakova ◽  
...  
Keyword(s):  
Software Design ◽  
Design Patterns ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Software Design Patterns

Design and Development Methodology for Resilient Cyber-Physical Systems

2008 ◽  
Author(s):  
Honguk Woo ◽  
Jianliang Yi ◽  
James C. Browne ◽  
Aloysius K. Mok ◽  
Ella Atkins ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Design And Development ◽  
Physical Systems ◽  
Development Methodology

scholarly journals Role of Ontologies for CPS Implementation in Manufacturing

2015 ◽  
Vol 6 (4) ◽  
pp. 26-32 ◽  
Author(s):  
Marco Garetti ◽  
Luca Fumagalli ◽  
Elisa Negri
Keyword(s):  
Domain Knowledge ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Network Connection ◽  
Manufacturing Applications ◽  
And Storage ◽  
Embedded Intelligence

Abstract Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.

scholarly journals METHOD FOR 3D-ENVIRONMENT DRIVEN DOMAIN KNOWLEDGE ELICITATION AND SYSTEM MODEL GENERATION

2020 ◽  
Vol 1 ◽  
pp. 197-206
Author(s):  
S. Japs ◽  
L. Kaiser ◽  
A. Kharatyan
Keyword(s):  
Systems Engineering ◽  
Automotive Industry ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
System Model ◽  
Physical Systems ◽  
3D Environment ◽  
Close Cooperation ◽  
Model Based Systems Engineering ◽  
Domain Independent

AbstractThe development of cyber-physical systems requires close cooperation between stakeholders from different disciplines. Model-based systems engineering support this by the design of a system model. Non-identified domain knowledge by the stakeholders is a challenge when creating the system model. The CONSENS 3D-Modeling Method supports the domain-independent elicitation of domain knowledge using a 3D environment and enables the derivation of a SysML system model. We applyed the method by implementing a prototype, called 3D Engineer, to an application example from the automotive industry.

Operator 4.0 Within the Framework of Industry 4.0

2021 ◽  
pp. 398-410
Author(s):  
Sarbjeet Singh ◽  
Phillip Tretten
Keyword(s):  
Industry 4.0 ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
Automated Systems ◽  
Physical Systems ◽  
Human In The Loop ◽  
Intelligent Machines ◽  
Skilled Operator ◽  
Technical Systems ◽  
New Generation

Operator 4.0 is a smart and skilled operator who augments the symbiosis between intelligent machines and operators. Better integration of Operator 4.0 in Industry 4.0 can bring emphasis on human-centric approach, allowing for a paradigm shift towards a human-automation cooperation for inspiring the compulsion of human-in-the-loop. This further enhances the domain knowledge for the improvement of human cyber-physical systems for new generation automated systems. This cooperation of humans and automation makes stability in socio-technical systems with smart automation and human-machine interfacing technologies. This chapter discusses the design principles of Industry 4.0 and Operator 4.0 human-cyber physical systems.

Operator 4.0 Within the Framework of Industry 4.0

2020 ◽  
pp. 120-133
Author(s):  
Sarbjeet Singh ◽  
Phillip Tretten
Keyword(s):  
Industry 4.0 ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
Automated Systems ◽  
Physical Systems ◽  
Human In The Loop ◽  
Intelligent Machines ◽  
Skilled Operator ◽  
Technical Systems ◽  
New Generation

Operator 4.0 is a smart and skilled operator who augments the symbiosis between intelligent machines and operators. Better integration of Operator 4.0 in Industry 4.0 can bring emphasis on human-centric approach, allowing for a paradigm shift towards a human-automation cooperation for inspiring the compulsion of human-in-the-loop. This further enhances the domain knowledge for the improvement of human cyber-physical systems for new generation automated systems. This cooperation of humans and automation makes stability in socio-technical systems with smart automation and human-machine interfacing technologies. This chapter discusses the design principles of Industry 4.0 and Operator 4.0 human-cyber physical systems.

Challenges on Coordination for Cyber-Physical Systems

2013 ◽  
Vol 347-350 ◽  
pp. 2942-2946
Author(s):  
Meng Sun
Keyword(s):  
Physical World ◽  
Cyber Physical Systems ◽  
Complex Interaction ◽  
Monitoring And Control ◽  
Design And Development ◽  
Physical Systems ◽  
Analysis Design ◽  
New Challenges ◽  
And Control

Cyber-physical systems integrate computing and communication with monitoring and control of physical entities. The complex interaction with the physical world makes coordination models and languages very important for the analysis, design and development of cyber-physical systems. This paper discusses several new challenges on coordination models and languages in the context of the emerging phenomenon of cyber-physical systems.

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