Framework for Distributed Industrial Automation and Control (4DIAC)

Strasser, Thomas; Rooker, Martijn; Ebenhofer, Gerhard; Zoitl, Alois; Sünder, C.; Valentini, A.; Martel, A.

doi:10.1109/indin.2008.4618110

Cited by 87 publications

(26 citation statements)

References 4 publications

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“…The PLCopenXML output of the converter tool can be reused for other tools in principle. For tools based on other standards such as 4diac [24], [25] based on IEC 61999, the approach presented in [26], [22] is applicable.…”

Section: Discussionmentioning

confidence: 99%

Towards an integrated plant engineering process using a data conversion tool for AutomationML

Vathoopan

Brandenbourger

George

et al. 2017

2017 IEEE International Conference on Industrial Technology (ICIT)

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Abstract-The development process of modern automated manufacturing plants requires a concurrent engineering process that integrates different engineering disciplines. Envisioning a concurrent development process, we propose an engineering process based on an AutomationML metamodel. The proposed metamodel contains standardized mechatronic component models, which acts as the base engineering data for the disciplines and the tools involved in the process. Since the tools operate on disciplinespecific data structures, a data conversion tool is introduced which parses AutomationML mechatronic model and produces specific data interpretable by the tool employed. The benefits of this approach are evaluated by generating an automation project in CODESYS Application Composer, employing the metamodel and data conversion tool with the proposed engineering process.

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Section: Discussionmentioning

confidence: 99%

Towards an integrated plant engineering process using a data conversion tool for AutomationML

Vathoopan

Brandenbourger

George

et al. 2017

2017 IEEE International Conference on Industrial Technology (ICIT)

Self Cite

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“…Future works include embedding tool support for our method by extending open development environment like 4DIAC [11]. Further effort is required in automating the compilation and execution of device-specific code for simulation or direct execution.…”

Section: Discussionmentioning

confidence: 99%

Slicing the Pi: Device-specific IEC 61499 design

Sinha

Dowdeswell

Vyatkin

2015

2015 IEEE 13th International Conference on Industrial Informatics (INDIN)

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Abstract-The IEC 61499 Function Block standard describes an architecture to support the development and reuse of software components for distributed and embedded industrial control and automation systems. Often distributed over heterogeneous execution platforms, IEC 61499 applications are highly re-configurable; users can map individual function blocks to run on any available device. However, the standard does not allow differentiating between the capabilities of different devices in a heterogeneous platform. In this paper, we present a framework that facilitates the utilization of device-specific capabilities during the design of function block applications. Device capabilities are wrapped-up in Basic function blocks linking to low-level device drivers, allowing designers to access device features with ease during the design phase. The framework is completely compatible with the IEC 61499 standard, and remains highly flexible. As a case study, we show how function block applications utilizing low-level capabilities of Raspberry Pi devices can be written and deployed using the Holobloc FBDK development environment. This particular setting of using function blocks to program the Raspberry Pi also results in an ideal, low-cost research and teaching platform for distributed computers.

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“…The different modelling and simulation tools used in this experiment included Overture [8], 20-sim [8] and 4DIAC [19] technologies. The original intention was also to include Catia to model the robotic arm in the case study, but unfortunately a license was not available for the version of this tool capable of generating FMUs.…”

Section: The Into-cps Technologymentioning

confidence: 99%

Multi-Paradigm Discrete-Event Modelling and Co-simulation of Cyber-Physical Systems

Neghina¹,

Zamfirescu²,

Larsen³

et al. 2018

STUD INFORM CONTROL

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Abstract:In the modelling of Cyber-Physical Systems (CPSs), there are different possible routes that can be followed to gradually achieve a collection of constituent models that can be co-simulated with a high level of accuracy. This paper demonstrates a methodology which initially develops all constituent models at a high level of abstraction with discreteevent models expressed using the Vienna Development Method (VDM). Subsequently, a number of these are refined (without changing the interfaces) by more detailed models expressed in different formalisms, and using tools that can export Functional Mock-up Units (FMUs) for co-simulation through the Functional Mock-up Interface (FMI) standard. The development team of each of these more detailed models can then experiment with the interactions with all the other constituent models, using the high-level discrete-event versions until higher-fidelity alternatives are ready. The results reported in this paper were obtained in an innovation experiment within the EU CPSE Labs research project, part of Smart Anything Everywhere initiative.

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Framework for Distributed Industrial Automation and Control (4DIAC)

Cited by 87 publications

References 4 publications

Towards an integrated plant engineering process using a data conversion tool for AutomationML

Towards an integrated plant engineering process using a data conversion tool for AutomationML

Slicing the Pi: Device-specific IEC 61499 design

Multi-Paradigm Discrete-Event Modelling and Co-simulation of Cyber-Physical Systems

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