AutomationML - the glue for seamless automation engineering

Drath, Rainer; Lüder, Arndt; Peschke, J.; Hundt, Lorenz

doi:10.1109/etfa.2008.4638461

Cited by 224 publications

(85 citation statements)

References 0 publications

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“…Overall, out of the 222 classified papers, 47 employ UML and variants, 36 use DSLs specific to Industry 4.0 challenges, 26 employ knowledge representation techniques, and 19 papers use AutomationML [43]. Where a column of Figure 3 sums up to a higher number (e.g., column UML), the column's modeling technique was applied to multiple concerns.…”

Section: Modeling Techniques Applied To Industry 40mentioning

confidence: 99%

A Systematic Mapping Study on Modeling for Industry 4.0

Wortmann

Combemale

Barais

2017

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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Industry 4.0 is a vision of manufacturing in which smart, interconnected production systems optimize the complete value-added chain to reduce cost and time-to-market. At the core of Industry 4.0 is the smart factory of the future, whose successful deployment requires solving challenges from many domains. Model-based systems engineering (MBSE) is a key enabler for such complex systems of systems as can be seen by the increased number of related publications in key conferences and journals. This paper aims to characterize the state of the art of MBSE for the smart factory through a systematic mapping study on this topic. Adopting a detailed search strategy, 1466 papers were initially identified. Of these, 222 papers were selected and categorized using a particular classification scheme. Hence, we present the concerns addressed by the modeling community for Industry 4.0, how these are investigated, where these are published, and by whom. The resulting research landscape can help to understand, guide, and compare research in this field. In particular, this report identifies the Industry 4.0 challenges addressed by the modeling community, but also the challenges that seem to be less investigated.

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Section: Modeling Techniques Applied To Industry 40mentioning

confidence: 99%

A Systematic Mapping Study on Modeling for Industry 4.0

Wortmann

Combemale

Barais

2017

2017 ACM/IEEE 20th International Conference on Model Driven Engineering Languages and Systems (MODELS)

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“…In [7] a metamodel implemented in AutomationML is presented. AML is a a neutral, XML-based data format for storing and exchanging plant engineering information [11]. The AML association provides a tool called AutomationML Editor [6] which allows the visualization, creation, and editing of AutomationML/CAEX files.…”

Section: Implementation Of the Conceptmentioning

confidence: 99%

“…A metamodel containing component models is proposed for integrating the plant engineering process. A base structure of the metamodel model is made available in the standard data exchange format in the industrial automation domain AutomationML [11] [12], which acts as the base engineering data model for all the disciplines involved. For realizing a component model which brings inter-disciplinary interaction and collaboration, a mechatronic component model integrated with a central behavior model is introduced in [13] extending the approach described in [7].…”

Section: Related Workmentioning

confidence: 99%

Generating metamodel-based descriptions of automation components in AutomationML

Brandenbourger

Vathoopan

Zoitl

2017

2017 IEEE International Conference on Industrial Technology (ICIT)

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Abstract-The variability of modern automation systems is getting the key factor in determining the efficiency in manufacturing. The modularity of the employed automation components contributes significantly to the level of variability by enabling multiple compositions of automation components. In order to enable a high modularity, each automation component should be modeled as an integrated mechatronic model containing information from different disciplines. This paper describes a recursive concept allowing the structured generation of manufacturerspecific models of automation components. The concept is based on a metamodel in AutomationML and implemented in a prototypical tool for evaluation purposes.

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“…The development of a modern automated plant necessitates interaction and collaboration of different disciplines involved [2] such as automation engineering, mechanical engineering, electrical engineering, software engineering, etc. Frequent updates and adaptations of a plant, required for meeting today's market requirements [3] demands coordination and collaboration of these disciplines even during operation stage.…”

Section: Introductionmentioning

confidence: 99%

“…Creating a seamless engineering process requires integration of this heterogeneous tool landscape. AutomationML (AML) [2] is an engineering data exchange format developed for the tools used in automation systems engineering process. AML provides a data format which can integrate various aspects of plant engineering such as requirement engineering, production engineering, process engineering, etc., keeping automation engineering as the core.…”

Section: Introductionmentioning

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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AutomationML - the glue for seamless automation engineering

Cited by 224 publications

References 0 publications

A Systematic Mapping Study on Modeling for Industry 4.0

A Systematic Mapping Study on Modeling for Industry 4.0

Generating metamodel-based descriptions of automation components in AutomationML

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

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