Evaluation of OPC-UA communication in an autonomous advanced manufacturing cell implementation

Maia, Rodrigo Filev; Bálsamo, Ângelo Jorge; Wachs-Lopes, Guilherme Alberto; Massote, Alexandre Augusto; Lima, Fábio

doi:10.1590/0104-530x5414-20

Cited by 5 publications

(3 citation statements)

References 24 publications

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“…One example is described in [ 15 ], where it is used to integrate a process network consisting of a programmable logic controller, with the Industrial Internet of Things IIoT. Another example of this kind of OPC UA application is presented in [ 16 ]. Generally, integrating different communication systems in industrial systems is recognized as the main goal in future process automation [ 17 ].…”

Section: Related Workmentioning

confidence: 99%

Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot

Stój

Fojcik

Cupek

et al. 2022

Sensors

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Dedicated fieldbuses were developed to provide temporal determinisms for industrial distributed real-time systems. In the early stages, communication systems were dedicated to a single protocol and generally supported a single service. Industrial Ethernet, which is used today, supports many concurrent services, but usually only one real-time protocol at a time. However, shop-floor communication must support a range of different traffic from messages with strict real-time requirements such as time-driven messages with process data and event-driven security messages to diagnostic messages that have more relaxed temporal requirements. Thus, it is necessary to combine different real-time protocols into one communication network. This raises many challenges, especially when the goal is to use wireless communication. There is no research work on that area and this paper attempts to fill in that gap. It is a result of some experiments that were conducted while connecting a Collaborative Robot CoBotAGV with a production station for which two real-time protocols, Profinet and OPC UA, had to be combined into one wireless network interface. The first protocol was for the exchange of processing data, while the latter integrated the vehicle with Manufacturing Execution System (MES) and Transport Management System (TMS). The paper presents the real-time capabilities of such a combination—an achievable communication cycle and jitter.

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Section: Related Workmentioning

confidence: 99%

Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot

Stój

Fojcik

Cupek

et al. 2022

Sensors

View full text Add to dashboard Cite

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“…Mahmoud et al [16] conducted an in-depth study on OPC technology for communication in distributed control systems (DCS). Maia et al [17] investigated the transmission performance of the OPC UA communication framework as an integration element between devices. They argued that OPC UA has a low traffic overhead.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Communication Model Based on OPC UA Wireless Network for Intelligent Production Line

Chai

Yin

et al. 2021

IEEE Access

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With the continuous development of intelligent manufacturing technology, the intelligent production line for the Industrial Internet of Things occupies an important position in the field of industrial intelligence. OPC UA is a standard for communication data exchange between intelligent production line devices. OPC UA can establish a unified information model for production line devices and improve the connectivity of heterogeneous networks. However, in industrial wireless network application scenarios, there are various types of sensing information and large amounts of data to be transmitted. Each type of data has different requirements for real-time. The traditional OPC UA communication method is difficult to achieve real-time and reliable transmission in intelligent production lines and can't meet the transmission requirements of time-sensitive data. In this paper, we propose a real-time communication model of the OPC UA wireless network for intelligent production lines (UAMPDS). IEEE 802.15.4e TSCH is used as the wireless communication infrastructure, and OPC UA protocols are fused to this model. Meanwhile, we design a load-aware time-slot scheduling algorithm to dynamically allocate and schedule time slots according to the network topology and traffic load of each node. We also implement a dynamic preemptive resource scheduling strategy based on service differentiation to ensure real-time transmission of time-sensitive data. The experimental results show that this model achieves differentiated services based on data with different latency tolerance and effectively reduces the transmission latency of real-time service data under the constrained network resources. It can avoid the starvation phenomenon of low priority queues, and improves the overall quality of service of intelligent production line communication networks.INDEX TERMS Industrial wireless network, OPC Unified Architecture, real-time, service differentiation, preemptive.

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“…The reference reviews the existing research progress and conducts a comparative study on communication delay, mainly for the universal symmetric delay, and establishes a complex mathematical model with inconsistent delays between terminals. Reference [8] deals with the study of autonomous microgrid stability considering communication delay, including the transient faults under load fluctuation and communication delay. The stability margin of communication delay under these conditions is studied by simulation, but only simulation studies are conducted in this paper without theoretical analysis.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Communication Simulation Model of Urban Comprehensive Energy Network Based on the Internet of Things

Fang

Yuan

Pan

et al. 2023

J. Phys.: Conf. Ser.

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In urban construction, all energy infrastructures have been realized by the information structure. However, due to the non-uniform structure of each energy network, the data cannot be more compatible, and the communication guarantee based on the Internet of Things is one of the most urgent problems to be solved. In this paper, a reasonable network computing offloading model is designed in the edge computing layer, and the computing offloading algorithm is introduced. Considering the dependency between subtasks, an optimization problem is established, and a central scheduling algorithm is proposed to solve it. An optimized distributed unloading algorithm is proposed according to the solution idea of the classical distributed unloading algorithm. Simulation results show that the optimized distributed unloading algorithm proposed in this paper has good solving efficiency and performance, and reduces the task processing delay. At the same time, the experimental simulation proves that the efficiency of multiple edge servers in processing subtasks is higher than that of a single server. It is established that changing the convergence speed and communication delay stability margin of the system by changing the system eigenvalue is beneficial to design a better communication network structure to keep the system stable.

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Evaluation of OPC-UA communication in an autonomous advanced manufacturing cell implementation

Cited by 5 publications

References 24 publications

Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot

Industrial Shared Wireless Communication Systems—Use Case of Autonomous Guided Vehicles with Collaborative Robot

Real-Time Communication Model Based on OPC UA Wireless Network for Intelligent Production Line

Analysis of Communication Simulation Model of Urban Comprehensive Energy Network Based on the Internet of Things

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