A GEMMA-GRAFCET Methodology to enable Digital Twin based on Real-Time Coupling

Barbieri, Giacomo; Gutierrez, David Andres

doi:10.1016/j.procs.2021.01.122

Cited by 11 publications

(10 citation statements)

References 14 publications

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“…In this section, the GG-Methodology proposed in [10] is resumed since this work constitutes its extension. Section 3.1 illustrates the GG-Representation for the specification of the OMs of SMSs, while Section 3.2 describes the HDP for the generation of PLC code from specifications expressed in accordance with the defined GG-Representation.…”

Section: Gemma-grafcet Methodologymentioning

confidence: 99%

“…Due to some limitations detected in the MeiA approach such as the lack of formalism and the readability of the generated code, Barbieri and Gutierrez [10] developed the GEMMA-GRAFCET Methodology for the PLC management of the OMs of SMSs using the GEMMA guideline, and demonstrated its fulfillment of some of the interoperability needs of modern SMSs. Due to lack of tools for its implementation, the novelty presented in this work is the introduction of an online tool for the GG-Methodology.…”

Section: Related Workmentioning

confidence: 99%

“…However, GEMMA is partially specified with respect to the syntax and semantics causing misunderstandings and possible emergent behaviors. To semantically specify the GEMMA guideline, GRAFCET international standard (IEC 60848 [38]) has been adopted [10].…”

Section: Gemma-grafcet Representationmentioning

confidence: 99%

“…In response to this issue, Barbieri and Gutierrez [10] proposed the GEMMA-GRAFCET Methodology (GG-Methodology): an approach and vocabulary for the management of the Operational Modes (OMs) of SMSs through the automation software, thus facilitating the exchange of information between the PLCs (Programmable Logic Controllers) and the external environment. The methodology consists of: (i) GEMMA-GRAFCET Representation (GG-Representation): to completely specify the management of the OMs with a standard syntax and semantics; (ii) Hierarchical Design Pattern (HDP): to generate hierarchical, modular, readable, and maintainable PLC code which consists of a one-to-one translation of the GG-Representation.…”

Section: Introductionmentioning

confidence: 99%

“…Concerning the horizontal integration, the methodology has been utilized for the implementation of a decentralized architecture of SMSs supervised from a central coordinator [11]. Concerning the vertical integration, it has been applied for the communication in between a PLC (physical domain) and a digital twin (cyber domain) [10]. However, in its current form the methodology must be implemented manually and is missing tools to enhance its usability.…”

Section: Introductionmentioning

confidence: 99%

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A GEMMA-GRAFCET Generator for the Automation Software of Smart Manufacturing Systems

et al. 2021

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Within the Industry 4.0 revolution, manufacturing enterprises are transforming to intelligent enterprises constituted by Smart Manufacturing Systems (SMSs). A key capability of SMSs is the ability to connect and communicate with each other through Industrial Internet of Things technologies, and protocols with standard syntax and semantics. In this context, the GEMMA-GRAFCET Methodology (GG-Methodology) provides a standard approach and vocabulary for the management of the Operational Modes (OMs) of SMSs through the automation software, bringing a common understanding of the exchanged data. Considering the lack of tools to implement the methodology, this work introduces an online tool based on Model-Driven Engineering–GEMMA-GRAFCET Generator (GG-Generator)–to specify and generate PLCopen XML code compliant with the GG-Methodology. The proposed GG-Generator is applied to a case study and validated using Virtual Commissioning and Dynamic Software Testing. Due to the consistency obtained between the GG-Methodology and the generated PLC code, the GG-Generator is expected to support the adoption of the methodology, thus contributing to the interoperability of SMSs through the standardization of the automation software for the management of their OMs.

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Section: Gemma-grafcet Methodologymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Gemma-grafcet Representationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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