Cyber-Physical Systems

Wolf, Marilyn

doi:10.1016/b978-0-12-410511-9.00008-3

Cited by 27 publications

(19 citation statements)

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“…The main benefit deriving from Cyber-Physical Systems is the higher level of efficiency achievable, thanks to control-computing codesign [2]. Moreover, the economic and societal potential benefits of CPS are high; therefore, worldwide investments spent for the development of this technology are quickly increasing [3].…”

Section: Cyber Physical Systemsmentioning

confidence: 99%

“…Other fields of application may be: traffic control and safety, advanced automotive systems, process control, energy conservation, environmental control, avionics, instrumentation, critical infrastructure control (electric power, water resources, and communications systems for example), defense systems, etc. [2,3,5]. For what specifically concerns the manufacturing sector, "converged modular automation" is a current manufacturing trend, where systems are built of a network of modular cyber-physical components, which have their own embedded controller.…”

Section: Cyber Physical Systemsmentioning

confidence: 99%

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Role of Ontologies for CPS Implementation in Manufacturing

Garetti¹,

Fumagalli²,

Negri³

2015

Management and Production Engineering Review

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Accepted: 9 January 2015Cyber 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.

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Section: Cyber Physical Systemsmentioning

confidence: 99%

Section: Cyber Physical Systemsmentioning

confidence: 99%

Role of Ontologies for CPS Implementation in Manufacturing

Garetti¹,

Fumagalli²,

Negri³

2015

Management and Production Engineering Review

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“…CPS are distributed networks of collaborating elements that can be integrated to create federated control systems and provide feedback mechanisms to centralised systems [7]. In the case of a flood, it would be quite beneficial to incorporate data available from aquatic bodies in the affected regions.…”

Section: Role Of Modeling and Simulation For Planning And Resilimentioning

confidence: 99%

Towards an Info-Symbiotic Decision Support System for Disaster Risk Management

Kureshi

Théodoropoulos

Mangina

et al. 2015

2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT)

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Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details. Abstract-This paper outlines a framework for an infosymbiotic modelling system using cyber-physical sensors to assist in decision-making. Using a dynamic data-driven simulation approach, this system can help with the identification of target areas and resource allocation in emergency situations. Using different natural disasters as exemplars, we will show how cyberphysical sensors can enhance ground level intelligence and aid in the creation of dynamic models to capture the state of human casualties. Using a virtual command & control centre communicating with sensors in the field, up-to-date information of the ground realities can be incorporated in a dynamic feedback loop. Using other information (e.g. weather models) a complex and rich model can be created. The framework adaptively manages the heterogeneous collection of data resources and uses agent-based models to create what-if scenarios in order to determine the best course of action.

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“…However, these embedded systems rarely interacted with the physical world per se. It was until the late 2000s when computational systems were defined to interact with and control the physical environment [2][3][4].…”

Section: Introductionmentioning

confidence: 99%