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In industrial automation systems, deploying the well-established automation pyramid model is best practice. However, the trend to massively distributed systems, which are foreseen to co-operate using standardized protocols and common semantics, shows the limits of these traditional approaches. In order to enable for Industry 4.0 compliant solutions, appropriate means for scalable internetworking have...
The integration of engineering tools within engineering chains is an essential need of current engineering process optimization. For example, in case of production system engineering the tools for mechanical and electrical engineering and control programming shall exchange all relevant information automatically. Within this paper a methodology and an example for AutomationML based lossless data exchange...
This paper describes an innovative approach and infrastructure for a seamless data communication between CAE and automation systems' engineering tools. In this approach syntax, semantics and graphical representations of various CAE tools can be captured, analyzed, visualized and mapped to an intermediate syntax and semantic in a data hub. Different captures from different data sources can be merged...
In production system engineering, the machine-understandable definition of relations between engineering information views is important to enable automating dependency checking between these views. Unfortunately, in automation engineering there is no standardized representation of relations and dependencies, which makes it difficult to automate consistency checking. In this paper we derive requirements...
REpresentational State Transfer (REST) today represents and transfers the data-states of distrib-uted resources. Through hypermedia-based inter-actions among these representations and transfers, the web's original goal of information retrieval is accomplished. However, despite of the fact that the web today has evolved beyond information retrieval into task executions, the original web interaction...
The paper focuses on development and application of a software engineering system BPsim.SD, part of decision support suite BPsim.DSS, which greatly simplifies analysts work and their interaction with software developers. System is integrated into a decision support suite, which allows instant transition from software entities design to simulation of developed product with possible application of simulation...
The paper focuses on development and application of a software engineering system BPsim. SD, part of decision support suite BPsim. DSS, which greatly simplifies analysts work and their interaction with software developers. System is integrated into a decision support suite, which allows instant transition from software entities design to simulation of developed product with possible application of...
Device management comprises the integration of modern devices in both factory and process automation. Thanks to device management, functions and information from the devices can be made available in a Supervisory Control and Data Acquisition (SCADA) system or Distributed Control System (DCS). Integration of devices is still a challenge to today's device management. FDI is a promising approach for...
Large scale dissemination of power grid entities such as distributed energy resources (DERs), electric vehicles (EVs), and smart meters has provided diverse challenges for Smart Grid automation. Novel control models such as virtual power plants (VPPs), microgrids, and smart houses introduce a new set of automation and integration demands that surpass capabilities of currently deployed solutions. Therefore,...
Evolution of existing power systems towards the Smart Grids has highlighted a great number of potential pitfalls and unsolved issues which are postponing its streamlined progress. Collective control of Distributed Energy Resources (DERs) through the model of Virtual Power Plant (VPP) is one of the key Smart Grid concepts lacking the capability of seamless integration. The IEC 61850 standard defines...
Contemporary network management frameworks have limited high-level functionalities. This makes administrator's manual intervention a common necessity, which is a highly complex activity for heterogeneous networks. State of the art research projects deal with methodologies to create high-level intelligent management systems that attenuates administrator's dependence. But making real implementations...
Manufacturing systems engineering projects depend on contributions from several engineering disciplines. These contributions consist of complex artifacts like mechanical, electrical, and software components and plans. While the software tools are strong in supporting each individual engineering discipline, there is very little work on engineering processes automation across semantically heterogeneous...
Automation systems engineering projects depend on contributions from several engineering disciplines. These contributions consist of complex artifacts like mechanical, electrical, and software components and plans, which get updated concurrently. While there are version management features in the software tools for each individual engineering discipline, there is very little work on version management...
The engineering of complex production automation systems involves experts from several backgrounds, such as mechanical, electrical, and software engineering. The production automation expert knowledge is embedded in their tools and data models, which are, unfortunately, insufficiently integrated across the expert disciplines, due to semantically heterogeneous data structures and terminologies. Traditional...
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