Assessment of Different OPC UA Implementations for Industrial IoT-Based Measurement Applications

Morato, Alberto; Vitturi, Stefano; Tramarin, Federico; Cenedese, Angelo

doi:10.1109/tim.2020.3043116

Cited by 32 publications

(10 citation statements)

References 24 publications

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“…Thus, the safety protocol is not aware of the underlying physical layer. In this respect, the assessment provided in [29] clearly shows that the use of different physical layers for OPC UA applications may actually have an impact on the performance, but the feasibility of such applications is ensured whatever being the adopted physical layer.…”

Section: Discussion and Future Perspectivesmentioning

confidence: 99%

Functional Safety Networks and Protocols in the Industrial Internet of Things Era

Peserico

Morato

Tramarin

et al. 2021

Sensors

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Functional safety networks are becoming of paramount importance in industrial systems, due to the progressive innovation introduced by the Industry 4.0 paradigm, characterized by high production flexibility, reliability and scalability. In this context, new and challenging applications have emerged such as hyperautomation, which refers to the combination of machine vision, robotics, communication, and learning, with the explicit involvement of humans. This requires the pervasive and ubiquitous connectivity encompassed by the Industrial Internet of Things, typically achieved via wireless systems. As an example, wireless communications are today fundamental to open up to new categories of autonomous devices that can actively collaborate with human personnel in the production process. This challenging scenario has important implications for safety. Indeed, a reliable coordination among sensors, actuators and computing systems is required to provide satisfactory levels of safety, especially in the case of innovative processes and technologies, such as mobile and collaborative robotics. Hence, it becomes imperative to ensure the correct transfer of safety-critical data via communication networks. In this paper, we address the challenges concerned with functional safety networks and protocols in Industrial Internet of Things ecosystems. We first introduce the design characteristics of functional safety networks and discuss the adoption of safety protocols over wireless networks. Then, we specifically address one of such protocols, namely Fail Safety over EtherCAT (FSoE), and provide the results of an extensive experimental session carried out exploiting a prototype system, implemented using commercial devices based on a WiFi network. Finally, the outcomes of the experiments are used as a basis for a discussion about future trends of functional safety in the Industrial Internet of Things era.

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Section: Discussion and Future Perspectivesmentioning

confidence: 99%

Functional Safety Networks and Protocols in the Industrial Internet of Things Era

Peserico

Morato

Tramarin

et al. 2021

Sensors

Self Cite

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“… In [ 26 ], the authors explore the communication quality achieved by TSCH in a setup that includes real motes exposed to a realistic interfering industrial traffic. In [ 27 ], the authors introduce the design of a general yet accurate and reproducible measurement setup that will be exploited to assess the performance of the main open-source industrial implementations. Last but not least, in [ 28 ], the authors explore the impact of rate adaptation algorithms on Wi-Fi-based factory automation systems.…”

Section: Related Workmentioning

confidence: 99%

“…In [ 27 ], the authors introduce the design of a general yet accurate and reproducible measurement setup that will be exploited to assess the performance of the main open-source industrial implementations.…”

Section: Related Workmentioning

confidence: 99%

Toward a Detailed Evaluation of Wireless Industrial Data Distribution Approaches

Raptis

Formica

Pagani

et al. 2022

Sensors

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Data distribution is a cornerstone of efficient automation for intelligent machines in Industry 4.0. Although in the recent literature there have been several comparisons of relevant methods, we identify that most of those comparisons are either theoretical or based on abstract simulation tools, unable to uncover the specific, detailed impacts of the methods to the underlying networking infrastructure. In this respect, as a first contribution of this paper, we develop more detailed and fine-tuned solutions for robust data distribution in smart factories on stationary and mobile scenarios of wireless industrial networking. Using the technological enablers of WirelessHART, RPL and the methodological enabler of proxy selection as building blocks, we compose the protocol stacks of four different methods (both centralized and decentralized) for data distribution in wireless industrial networks over the IEEE 802.15.4 physical layer. We implement the presented methods in the highly detailed OMNeT++ simulation environment and we evaluate their performance via an extensive simulation analysis. Interestingly enough, we demonstrate that the careful selection of a limited set of proxies for data caching in the network can lead to an increased data delivery success rate and low data access latency. Next, we describe two test cases demonstrated in an industrial smart factory environment. First, we show the collaboration between robotic elements and wireless data services. Second, we show the integration with an industrial fog node which controls the shop-floor devices. We report selected results in much larger scales, obtained via simulations.

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“…[4], Morato et.al. [24], [22] compares the RTT performances of open source OPC UA servers and clients, where open62541 is identified as more efficient compared to C++ and Phyton based implementations of the same free OpcUa software. Later work includes more varieties, including a result with Prosys Java OPC UA implementation.…”

Section: R E S E Ar C H Ar T Ic L Ementioning

confidence: 99%

A Reliability Assessment of an Industrial Communication Protocol on a Windows OS Embedded PC for an Oil Rig Control Application

YUCESAN¹,

Özkil²,

ÖZBEK³

2021

Journal of Scientific Technology and Engineering Research

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 Investigates Reliability vs Load in Window Computer  Processor consumption been investigated in literature but "Reliability vs. Load" is rarely investigated.  Measures reliability of Data History Polls and monitoring  Such a reliability vs. load is observed on physical mockup, findings are hard to predict and close to actual scenarios.Reliability is an important criterion for the applications, especially when there are humans involved in the activity. There are a limited number of works addressing the reliability concerns of a digital industrial plant scenario with machine to machine (M2M) communications. Results on a windows embedded platform are rare as well. In this paper, we investigate the suitability of such devices for presenting the data of a digital oil rig to the humans within the scope of the TÜBİTAK KAMAK Project. There can be two types of reads.A simple one regarding current values of observed variables. Also, a period of their occurrences can be recalled, referred to as a Historic read. An algorithm can consider both techniques. Our observations indicate: the simple reads are more resilient than the historical ones that represent past data of a readable variable. Figure A. The name figure or table about given info and results

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Assessment of Different OPC UA Implementations for Industrial IoT-Based Measurement Applications

Cited by 32 publications

References 24 publications

Functional Safety Networks and Protocols in the Industrial Internet of Things Era

Functional Safety Networks and Protocols in the Industrial Internet of Things Era

Toward a Detailed Evaluation of Wireless Industrial Data Distribution Approaches

A Reliability Assessment of an Industrial Communication Protocol on a Windows OS Embedded PC for an Oil Rig Control Application

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