UML4IoT—A UML-based approach to exploit IoT in cyber-physical manufacturing systems

Thramboulidis, Kleanthis; Christoulakis, Foivos

doi:10.1016/j.compind.2016.05.010

Cited by 153 publications

(60 citation statements)

References 47 publications

(85 reference statements)

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“…Furthermore, according to the research in [ [6]], IoT is transforming the way that modern manufacturing systems will be developed and operated, mainly due to the adaptation of the REST architectural paradigm. According to the mentioned research, this imposes a paradigm shift for the automation system and requires effective approaches for handling the complexity in this transition, including the need for legacy manufacturing components to be integrated in the modern IoT manufacturing environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm

Rosas

Brito

Palma

et al. 2017

Int. J. Interact. Mob. Technol.

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Abstract-Enterprises are adopting the Internet of Things paradigm as a strategy to improve competitiveness. But enterprises also need to rely on their legacy systems, which are of vital importance to them and normally difficult to reconfigure or modify, their mere replacement being usually not affordable. These systems constitute, therefore, barriers to agility and competitiveness, raising the need to develop cost-effective ways for IoT adaptation. An approach for adapting legacy manufacturing systems into the IoT realm is proposed in this research. The methodology is twofold: an adaptation board is firstly designed to provide IoT connectivity, allowing to remotely invoke the "legacy" functionality as services. Then, the board itself can leverage the legacy system by developing additional functionalities inside it, as the update process is usually triggered by the need of new functionality from these systems. An experiment, which consists of adapting to IoT a small distribution line that is controlled by an aged Programmable Logic Controller, is developed to illustrate how straightforward, affordable and cost effective the adaptation approach is, allowing to holistically achieve a new system with more sophisticated functionality.

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Section: Literature Reviewmentioning

confidence: 99%

Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm

Rosas

Brito

Palma

et al. 2017

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

show abstract

“…With regards to IIoT and ICPS, OPC-UA and semantic web technologies are able to achieve integration at various levels [345]. UML-based approaches can fully automate the generation process of the IIoT-compliant layer that is required for the cyber-physical components to be effectively integrated in the shop-floor [333]. In order to achieve rapid response to changes from both high-level control systems and plant environment, self-manageable ontological agents can improve flexibility and interoperability [337] and automate the process engineering using a knowledge-based assistance system [341].…”

Section: Computation and Data Analytics Articlesmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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“…New protocols, languages, environments and architectural paradigms should be used and successfully integrated with the already used conventional architectures and this complicates the job of the industrial engineer. To this direction, authors in [14] present UML4IoT with focus on the modeling of the IAT. UML4IoT is a UML-based approach that realizes the model driven engineering paradigm to exploit IoT in the manufacturing domain.…”

Section: T Foradis K Thramboulidismentioning

confidence: 99%

“…In this paper, 1) we extend the model of the IoT introduced in [14], and 2) define a model-to-model transformer to automate the construction of IATs based on the Contiki OS [15] and the C language. In the extended IoT model, the IAT is still the key artifact for the adoption of the IoT infrastructure in the manufacturing domain.…”

Section: T Foradis K Thramboulidismentioning

confidence: 99%

From Mechatronic Components to Industrial Automation Things: An IoT Model for Cyber-Physical Manufacturing Systems

Thramboulidis¹,

Foradis²

2017

JSEA

Self Cite

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IoT is considered as one of the key enabling technologies for the fourth industrial revolution that is known as Industry 4.0. In this paper, we consider the mechatronic component as the lowest level in the system composition hierarchy that tightly integrates mechanics with the electronics and software required to convert the mechanics to intelligent (smart) object offering well defined services to its environment. For this mechatronic component to be integrated in the IoT-based industrial automation environment, a software layer is required on top of it to convert its conventional interface to an IoT compliant one. This layer, which we call IoT wrapper, transforms the conventional mechatronic component to an Industrial Automation Thing (IAT). The IAT is the key element of an IoT model specifically developed in the context of this work for the manufacturing domain. The model is compared to existing IoT models and its main differences are discussed. A model-to-model transformer is presented to automatically transform the legacy mechatronic component to an IAT ready to be integrated in the IoT-based industrial automation environment. The UML4IoT profile is used in the form of a Domain Specific Modelling Language to automate this transformation. A prototype implementation of an Industrial Automation Thing using C and the Contiki operating system demonstrates the effectiveness of the proposed approach.

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UML4IoT—A UML-based approach to exploit IoT in cyber-physical manufacturing systems

Cited by 153 publications

References 47 publications

Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm

Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm

Data Management in Industry 4.0: State of the Art and Open Challenges

From Mechatronic Components to Industrial Automation Things: An IoT Model for Cyber-Physical Manufacturing Systems

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