An Integrated Engineering Concept for the Model-based Development of Service-oriented Control Procedures

Ollinger, Lisa; Zühlke, Detlef

doi:10.3182/20130619-3-ru-3018.00081

Cited by 7 publications

(2 citation statements)

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“…This approach was then combined with the process modeling language Grafchart in order to implement and execute control logics as service orchestrations [13]. For MDE of service-oriented control architectures the method MDE for SOA-AT was developed including several concretization steps [14]. The designed control architecture can then be implemented in various ways, for example in a highly distributed way on embedded devices in form of a cyber-physical system [15].…”

Section: State Of the Artmentioning

confidence: 99%

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A reference architecture for service-oriented control procedures and its implementation with SysML and Grafchart

Ollinger

Zühlke

Theorin

et al. 2013

2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA)

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Innovative engineering methods are needed to enhance the adaptability and agility of industrial control procedures and concurrently manage their rising complexity. Service-oriented Architecture (SOA) constitutes a promising paradigm to meet these challenges. To apply the rather abstract SOA principles to industrial automation, a model-driven engineering method is presented in this paper. Therefore, a reference architecture is introduced providing a framework to structure and define services for control tasks in a convenient way. The application of the engineering method is supported by an implementation concept. It uses SysML during the design phase and the process modeling and control language Grafchart for the execution of service-oriented control procedures.

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Section: State Of the Artmentioning

confidence: 99%

“…So far, MDE for SOA-AT has been defined in a general way [14,15]. It describes how a fluent information flow can be achieved from process planning to executable control procedures by using serviceorientation and modeling.…”

Section: Model-driven Design With Sysmlmentioning

confidence: 99%