Modeling techniques as applied to generating tool-independent automation projects

Priego, Rafael; Armentia, Aintzane; Estévez-Estévez, Elisabet; Marcos, Marga

doi:10.1515/auto-2015-0072

Cited by 6 publications

(4 citation statements)

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“…The approach is based on a standardization of all mechatronic disciplines, which can then be combined at the interfaces and thus be reused. Priego et al [29] introduce UML profiles from three different views (control, electrics/ electronics, and SW engineering) and define mappings between them. Through model transformations, PLCopen-compliant IEC 61131-3 SW is generated from UML models.…”

Section: Model-based Software Engineering In Apsmentioning

confidence: 99%

Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

Vogel‐Heuser

Fischer

Neumann

et al. 2021

Preprint

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The amount of software in automated production systems, including its development effort, is continuously increasing to currently up to 35-50% of the development personnel. Consequently, success factors for achieving modularity and complexity management of control software are of high economic interest. Scientific solutions are manifold but often not implemented in industry. This paper introduces the study QoaPS SWE (Quality of automated Production Systems’ Software Engineering) providing insights into 61 machine and plant manufacturing companies to give quantitative and qualitative results to five essential research questions on success factors in the design of field-level control code. Compared to preceding surveys, QoaPS SWE achieves statistically significant results for software maturity (MMOD+), complexity, and model-based software engineering and provides detailed insights into causes and consequences for single criteria, thus clearly identifying obstacles to be addressed in future research and with industrial countermeasures. Especially staff qualification and organizational issues are identified as obstacles to applying the object-oriented programming paradigm for control software in machine and plant manufacturing. Validity is ensured by analyzing the statistical significance of the results in addition to comparisons with earlier surveys and interviews as well as the comparison with already existing and accepted maturity levels. The provided qualitative and quantitative results will allow the benchmarking of companies’ maturity and the derivation of concrete recommendations for companies depending on their MMOD+ value and the evaluated characteristics.

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Section: Model-based Software Engineering In Apsmentioning

confidence: 99%

Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

Vogel‐Heuser

Fischer

Neumann

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…La colaboración entre aplicaciones, y entre herramientas de diseño y programación que permitan la generación de software de control de manera automática, es objeto de diferentes propuestas en la bibliografía. Algunos enfoques utilizan Desarrollo Basado en Modelos (MDD -Model Driven Development) para la generación automática de código de control (Thramboulidis y Frey, 2011;Estévez y Marcos, 2011;Lukman et al, 2013;Priego, et al, 2016;Álvarez, et al, 2018). Jamro y Rzonca (2018) resalta la idoneidad de métodos y herramientas basadas en MDD para simplificar el creciente aumento del tamaño y complejidad de las aplicaciones y proponen una aproximación jerárquica y ágil para la implementación y realización de pruebas de software de control según IEC 61131-3.…”

Section: Otros Antecedentesunclassified

Metodología para la transformación de diseños en GRAFCET a código IEC 61131-3

et al. 2020

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“…Applying MDE to SAN has been extensively investigated according to the literature( [3], [28], [30]). In this section, we discuss related model-driven solutions that facilitate the design, analysis, and development of SAN.…”

Section: Related Workmentioning

confidence: 99%

“…Applying MDE to SAN has been investigated ( [30], [28], [3]), and languages such as SensorML [8] based on a metamodel, or SOSA [17] and SSN [24], based on ontologies, have been proposed. However, we don't know any MDE approach to monitor the SAN execution while analyzing and persisting measurements.…”

Section: Introductionmentioning

confidence: 99%

Model-Driven Engineering of Monitoring Application for Sensors and Actuators Networks

Fosse

Cheng

Rocheteau

et al. 2020

2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

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Cyber-Physical Systems (CPSs) encompass both Information Infrastructures and networks of physical devices. Applications for monitoring them are usually implemented after the physical systems that they have to monitor: the CPS has to be running in order to monitor it. Monitoring applications define communications between the elements of those systems, and are compliant with their designs. Such applications can be complicated to develop, maintain and evolve, especially if the physical system changes. This paper brings an approach for engineering CPS monitoring applications, relying on model-driven techniques for generating a platform using the MQTT communication protocol for monitoring the CPS. First, it provides a metamodel for modeling sensors and actuators networks. Second, it introduces EMIT a monitoring platform for sensors and actuators networks. Third, it presents a transformation from models of sensors and actuators networks to automatically generate EMIT monitoring configuration. We illustrate our approach on a case study and discuss its limitations and improvement points.

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Modeling techniques as applied to generating tool-independent automation projects

Cited by 6 publications

References 0 publications

Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

Success Factors for the Design of Field-level Control Code in Machine and Plant Manufacturing - an Industrial Survey -

Metodología para la transformación de diseños en GRAFCET a código IEC 61131-3

Model-Driven Engineering of Monitoring Application for Sensors and Actuators Networks

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