OPC UA server aggregation &amp;#x2014; The foundation for an internet of portals

Grosmann, Daniel; Bregulla, Markus; Banerjee, Suprateek; Schulz, Dirk; Braun, Roland

doi:10.1109/etfa.2014.7005354

Cited by 28 publications

(10 citation statements)

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“…The result is a complex mesh of client and server connections. 21 An environment is created, where every client needs to know all communication information of the servers it connects to. If the address of one device changes, this information has to be shared with all clients connecting to this device.…”

Section: Aggregationmentioning

confidence: 99%

Integration of Manufacturing Information via Dynamic Information Model Aggregation

Schmied

Großmann

Mathias

et al. 2020

Vietnam J. Comp. Sci.

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An important part of the industry 4.0 concept is the horizontal and vertical integration of manufacturing systems. Information exchange in traditional production environments happens through interfaces that are connections between strictly defined senders and receivers. This limits the possibility for changing and extending the manufacturing system. A possible approach to enable the information exchange between all system entities uniformly are information models. Such models are semantic descriptions of the available data. The creation of these models needs to follow the manufacturing process, but also requires certain standardization to improve efficiency. Another challenge is the actual technical integration of the information into a common address space. This paper connects an approach for information modeling with a concept for dynamic aggregation. The approach is described with the help of a continuous example that uses OPC UA as a middleware technology.

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Section: Aggregationmentioning

confidence: 99%

Integration of Manufacturing Information via Dynamic Information Model Aggregation

Schmied

Großmann

Mathias

et al. 2020

Vietnam J. Comp. Sci.

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show abstract

“…Similar to [11], who propose a communication architecture for CPPS, where the different applications are running on the same machine but in different containers to ensure process isolation and data integrity on a real-time operating system, also the DF has to serve flexibility requirements close to a real-time clock pulse. The chosen protocol, OPC UA is an industrial standard that provides a rich service set [5] and serves as a communication middleware for multi agent systems [12]. An aggregation server can be used for monitoring and integrating different information models [12][13] [14].…”

Section: Definitions and Related Workmentioning

confidence: 99%

“…The chosen protocol, OPC UA is an industrial standard that provides a rich service set [5] and serves as a communication middleware for multi agent systems [12]. An aggregation server can be used for monitoring and integrating different information models [12][13] [14]. An additional benefit is, that OPC UA can be easily incorporated into other software products like supervisory control and data acquisition systems (SCADA-Systems), manufacturing execution systems (MESs) and enterprise resource planning systems (ERP-Systems).…”

Section: Definitions and Related Workmentioning

confidence: 99%

Untitled

2020

(JUSPN)

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Cyberphysical production systems are important parts of today's manufacturing process. The ever-growing need of highly optimized, i.e. at the same time flexible and efficient systems, requires the use of not only appropriate machines, but as well a communication framework and data model that is manufacturer independent and scalable. This paper proposes a communication-framework based on OPC UA that employs an agent-based architecture. The proposed system has been implemented and tested in the Digital Factory of the UAS Technikum Wien. It shows promising behavior within distributed manufacturing systems.

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“…Nevertheless, pub/sub communication could be used instead of MonitoredItems, thus reducing CPU usage and response times considerably as described previously in this section. In addition, OPC UA aggregation server could be used to consolidate the parameter information from different devices on one server . This would reduce the amount of necessary subscriptions significantly and decrease the risk on high CPU load on future field devices.…”

Section: Validationmentioning

confidence: 99%

Automated industrial IoT‐device integration using the OpenPnP reference architecture

et al. 2019

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Distributed control systems are currently evolving towards industrial Internet of Things (IoT) systems communicating fully using Internet protocols. This creates opportunities for streamlining costly commissioning processes, which today require substantial manual work for installing, configuring, and integrating thousands of actuators and sensors. The vision of "plug-and-produce" control systems has been pursued for more than 15 years, but existing approaches fell short regarding configuration tasks and vendor neutrality. This paper introduces the standards-based IoT reference architecture OpenPnP, which allows largely automating the configuration and integration tasks of industrial commissioning processes. The architecture includes a number of design and technology decisions and the required implementation can be scaled down to resource-constrained industrial devices. This paper demonstrates how OpenPnP can reduce configuration and integration efforts up to 90% in typical settings, while potentially scaling well up to tens of thousands of communicated signals. Practitioners can orient their implementations towards OpenPnP, therefore potentially enabling "plug-and-produce" in many thousands of control systems. KEYWORDS client-server systems, control engineering, Internet of Things, real-time systems, software architecture 246 of these tasks include a number of manually executed steps done by engineers, for example, the device identification, device wiring, entering configuration parameters, and interaction fine-tuning between devices, the control system, and workstations. Many of these tasks are even more complicated due to the lack of standardized parameter models, legacy communication interfaces, and proprietary software tools requiring profound knowledge and expertise. Hence, the entire process of commissioning a plant or a process including thousands or ten thousands of devices may last several calendar months, costing millions of dollars. [3][4][5] Taking this into account, there is a high interest from customer side to simplify the commissioning process. 6 Therefore, researchers and practitioners have been working on "plug and produce" (PnP) approaches in the last two decades. 7,8 They simplify the process for commissioning a device in process automation similar to the installation and usage of devices for consumer computers, so called "plug and play." Transferring this concept to the process automation world is complicated because such an PnP approach needs to be implemented on different levels in operation, starting from device level up to plant or even enterprise level. Existing proposals for PnP approaches 9-13 often focus on low-level network discovery of industrial field devices but neglect higher-level configuration and integration tasks, which cause most manual efforts. Especially, for PnP on the device level, network discovery of industrial field devices is only one task of many. The industrial field devices also need standardized and self-describing information models so that no additional informa...

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OPC UA server aggregation — The foundation for an internet of portals

Cited by 28 publications

References 1 publication

Integration of Manufacturing Information via Dynamic Information Model Aggregation

Integration of Manufacturing Information via Dynamic Information Model Aggregation

Untitled

Automated industrial IoT‐device integration using the OpenPnP reference architecture

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