Research on Safe Communication Architecture for Real-Time Ethernet Distributed Control System

Huang, Zhengyu; Jiang, Xianliang; Chen, Lingyu; Ding, Fan

doi:10.1109/access.2019.2926650

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…In view of the limitations of a single reliability evaluation index on reliability evaluation, a reliability evaluation index based on multiple indexes has gradually become a research hotspot [17]. is method integrates the quality characteristics of four wireless communication links: channel quality, asymmetry, packet transmission loss rate, and stability, so as to evaluate the reliability of communication links; ere is also a comprehensive reliability evaluation model of link quality based on the Kalman filter and fuzzy logic, which is constructed by using fuzzy rules, membership function, and other methods.…”

Section: Multi-index Reliability Evaluation Indexmentioning

confidence: 99%

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Zhao

2022

Security and Communication Networks

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Learn about effective and uncontrolled gambling on wireless networks. Firstly, according to the control purpose, considering the reliability requirement of microgrid for network communication, the characteristics of wireless sensor network communication quality of service in microgrid, the influence of wireless connection reliability, and the mathematical standard of wireless communication are determined. Then, according to the estimation of the occurrence time of wireless communication link reliability, the reliability of wireless sensor network communication link in a smart grid is improved based on a fuzzy nonlinear control algorithm. Finally, the security and reliability of the control system described in this paper are measured by simulation. The experimental results show that the reliability of the wireless communication estimation time estimation algorithm and the power control algorithm based on fuzzy control can estimate the reliability, shortsightedness, and accuracy of good connections in real time. By adjusting the output power of the node, the connection quality and reliability can be controlled stably.

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Section: Multi-index Reliability Evaluation Indexmentioning

confidence: 99%

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Zhao

2022

Security and Communication Networks

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“…Finally, we would like to mention an interesting example of an industrial network that integrates security and safety, provided in [ 35 ]. In this paper, the authors describe an implementation of the CANopen protocol on real-time Ethernet networks that includes safety and security mechanisms.…”

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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“…In [ 15 ], the authors describe the implementation of a proprietary protocol for real-time Ethernet networks that includes safety and security mechanisms. Although the protocol is not among those standardized by IEC 61784-3 [ 10 ], the paper provides significant and interesting results obtained from practical tests carried out on a real system implementation.…”

Section: Related Workmentioning

confidence: 99%

Time-Sensitive Networking to Improve the Performance of Distributed Functional Safety Systems Implemented over Wi-Fi

Morato,

Vitturi,

Tramarin

et al. 2023

Sensors

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Industry 4.0 has significantly improved the industrial manufacturing scenario in recent years. The Industrial Internet of Things (IIoT) enables the creation of globally interconnected smart factories, where constituent elements seamlessly exchange information. Industry 5.0 has further complemented these achievements, as it focuses on a human-centric approach where humans become part of this network of things, leading to a robust human–machine interaction. In this distributed, dynamic, and highly interconnected environment, functional safety is essential for adequately protecting people and machinery. The increasing availability of wireless networks makes it possible to implement distributed and flexible functional safety systems. However, such networks are known for introducing unwanted delays that can lead to safety performance degradation due to their inherent uncertainty. In this context, the Time-Sensitive Networking (TSN) standards present an attractive prospect for enhancing and ensuring acceptable behaviors. The research presented in this paper deals with the introduction of TSN to implement functional safety protocols for wireless networks. Among the available solutions, we selected Wi-Fi since it is a widespread network, often considered and deployed for industrial applications. The introduction of a reference functional safety protocol is detailed, along with an analysis of how TSN can enhance its behavior by evaluating relevant performance indexes. The evaluation pertains to a standard case study of an industrial warehouse, tested through practical simulations. The results demonstrate that TSN provides notable advantages, but it requires meticulous coordination with the Wi-Fi MAC layer protocol to guarantee improved performance.

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Research on Safe Communication Architecture for Real-Time Ethernet Distributed Control System

Abstract: This project was supported by the Ministry of Science and Technology of China and the project number is 2015CB057503. In this project, 500 000 RMB could be used for this research and the publication of related papers.

Cited by 7 publications

References 21 publications

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

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

Time-Sensitive Networking to Improve the Performance of Distributed Functional Safety Systems Implemented over Wi-Fi

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