Building Smart Adaptable Cyber-Physical Systems: Definitions, Classification and Elements

Bordel, Borja; Pérez-Jiménez, Marina; Martín, Diego; Rivera, Diego

doi:10.1007/978-3-319-26401-1_14

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…Top-down applications are concerned with the processes that are executable at a high level [30]. However, while they are widely adopted in the world of industry, the real industrial processes are bottom-up since they are concerned with hard-programmed and low-level devices [31]. An example of a bottom-up model was proposed in [32], with both event-driven and service-based models considered in the authors' architectures.…”

Section: Related Workmentioning

confidence: 99%

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

Prist¹,

Monteriù²,

Pallotta³

et al. 2020

ACTA IMEKO

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The pillars of Industry 4.0 require the integration of a modern smart factory, data storage in the Cloud, access to the Cloud for data analytics, and information sharing at the software level for simulation and hardware-in-the-loop (HIL) capabilities. The resulting cyber-physical system (CPS) is often termed the cyber-physical manufacturing system, and it has become crucial to cope with this increased system complexity and to attain the desired performances. However, since a great number of old production systems are based on monolithic architectures with limited external communication ports and reduced local computational capabilities, it is difficult to ensure such production lines are compliant with the Industry 4.0 pillars. A wireless sensor network is one solution for the smart connection of a production line to a CPS elaborating data through cloud computing. The scope of this research work lies in developing a modular software architecture based on the open service gateway initiative framework, which is able to seamlessly integrate both hardware and software wireless sensors, send data into the Cloud for further data analysis and enable both HIL and cloud computing capabilities. The CPS architecture was initially tested using HIL tools before it was deployed within a real manufacturing line for data collection and analysis over a period of two months.

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Section: Related Workmentioning

confidence: 99%

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

Prist¹,

Monteriù²,

Pallotta³

et al. 2020

ACTA IMEKO

View full text Add to dashboard Cite

show abstract

“…On the other hand, first CPS (Cyber-Physical Systems [ 77 ]) simulators have been proposed [ 78 , 79 , 80 ]. In the final design, these simulators will include the physical and the cyber world; however, nowadays they only consider the physical world and some characteristics about the cyber world.…”

Section: State Of the Artmentioning

confidence: 99%

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

Bordel

Sánchez-Picot

2017

Sensors

Self Cite

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Cyber-Physical Social Sensing (CPSS) is a new trend in the context of pervasive sensing. In these new systems, various domains coexist in time, evolve together and influence each other. Thus, application-specific tools are necessary for specifying and validating designs and simulating systems. However, nowadays, different tools are employed to simulate each domain independently. Mainly, the cause of the lack of co-simulation instruments to simulate all domains together is the extreme difficulty of combining and synchronizing various tools. In order to reduce that difficulty, an adequate architecture for the final co-simulator must be selected. Therefore, in this paper the authors investigate and propose a methodology for the design of CPSS co-simulation tools. The paper describes the four steps that software architects should follow in order to design the most adequate co-simulator for a certain application, considering the final users’ needs and requirements and various additional factors such as the development team’s experience. Moreover, the first practical use case of the proposed methodology is provided. An experimental validation is also included in order to evaluate the performing of the proposed co-simulator and to determine the correctness of the proposal.

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“…Finally, after a period when no works about smart gloves were published, in very recent years (since 2013) various prototypes and research works have been reported [8]. In 2013, the first RFID-based glove was patented [19].…”

Section: State Of the Artmentioning

confidence: 99%

T4AI: A system for monitoring people based on improved wearable devices

Marina P´erez-Jim´enez,

Borja Bordel S´anchez,

Ram´on Alcarria

2016

ReBICTE

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Monitoring people is central to many applications. Some works from the literature prove that informationabout that the sequence of objects a person uses while performing an activity robustlycharacterizes both, the activity and the quality of its execution. In this paper we present a novelsystem called “Toolkit for activities Inference” (T4AI) for inferring the activities executed by peoplefrom the interactions with objects. The system includes as main element a cybernetic glove basedon wearable RFID readers and sensors. Our proposal includes an improved RFID technology beingable to be used in metallic environments (such as industry scenarios). Moreover, an experimentalvalidation was conducted in order to determine the performance of the proposed system.

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Building Smart Adaptable Cyber-Physical Systems: Definitions, Classification and Elements

Cited by 5 publications

References 5 publications

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

A Methodology for the Design of Application-Specific Cyber-Physical Social Sensing Co-Simulators

T4AI: A system for monitoring people based on improved wearable devices

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