Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502560
K. Ali, A. Telmoudi, Said Gattoufi
This paper addresses an improved Genetic Algorithm (GA) combined with local search technique to solve the dynamic job shop scheduling problem (DJSSP) with new job arrivals and change in processing time. The objective function is the minimization of the makespan known to be one of the performance criterion used to optimize manufacturing system requirements. To enhance the scheduling process, a rescheduling strategy is used to solve dynamic disturbances. Various problems including the number of jobs, the number of machines and the number of new job arrivals are compared with a collection of state of the art Dispatching Rules(DRs) and other metrics. Obtained results are satisfactory for rescheduling of new job arrivals, change in processing time and makespan minimization.
{"title":"An Improved Genetic Algorithm with Local Search for Solving the DJSSP with New Dynamic Events","authors":"K. Ali, A. Telmoudi, Said Gattoufi","doi":"10.1109/ETFA.2018.8502560","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502560","url":null,"abstract":"This paper addresses an improved Genetic Algorithm (GA) combined with local search technique to solve the dynamic job shop scheduling problem (DJSSP) with new job arrivals and change in processing time. The objective function is the minimization of the makespan known to be one of the performance criterion used to optimize manufacturing system requirements. To enhance the scheduling process, a rescheduling strategy is used to solve dynamic disturbances. Various problems including the number of jobs, the number of machines and the number of new job arrivals are compared with a collection of state of the art Dispatching Rules(DRs) and other metrics. Obtained results are satisfactory for rescheduling of new job arrivals, change in processing time and makespan minimization.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":" 18","pages":"1137-1144"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91416094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502515
Maryam Pahlevan, R. Obermaisser
Time-Sensitive Networking (TSN) is introduced as a series of Ethernet extensions to address strict temporal constraints of modern mission-critical applications. TSN offers determinism using global Time-Triggered (TT) transmission schedules. Most of existing scheduling solutions ignore interdependence of routing and scheduling problems and derive the design space of system implementations only from scheduling constraints. This strategy limits the capability of former approaches to compute a global schedule of TT communication for several real-time systems. In this paper, we present a heuristic scheduling approach based on a genetic algorithm. Our approach combines the routing and scheduling constraints and generates static global schedules using joint constraints in a single-step. The number of scheduling possibilities within the design space that is derived from joint routing and scheduling constraints increases in comparison to the approaches that only use the fixed routing. Thereby, the schedulability is improved by our solution. Our genetic-based approach also considers the distribution of real-time applications, multicast patterns and interdependencies of TT flows in the scheduling process. Due to optimized task binding and resource allocation, the experimental results show a significant enhancement of schedulability, TT transmission efficiency and resource utilization compared to the state-of-art solutions.
{"title":"Genetic Algorithm for Scheduling Time-Triggered Traffic in Time-Sensitive Networks","authors":"Maryam Pahlevan, R. Obermaisser","doi":"10.1109/ETFA.2018.8502515","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502515","url":null,"abstract":"Time-Sensitive Networking (TSN) is introduced as a series of Ethernet extensions to address strict temporal constraints of modern mission-critical applications. TSN offers determinism using global Time-Triggered (TT) transmission schedules. Most of existing scheduling solutions ignore interdependence of routing and scheduling problems and derive the design space of system implementations only from scheduling constraints. This strategy limits the capability of former approaches to compute a global schedule of TT communication for several real-time systems. In this paper, we present a heuristic scheduling approach based on a genetic algorithm. Our approach combines the routing and scheduling constraints and generates static global schedules using joint constraints in a single-step. The number of scheduling possibilities within the design space that is derived from joint routing and scheduling constraints increases in comparison to the approaches that only use the fixed routing. Thereby, the schedulability is improved by our solution. Our genetic-based approach also considers the distribution of real-time applications, multicast patterns and interdependencies of TT flows in the scheduling process. Due to optimized task binding and resource allocation, the experimental results show a significant enhancement of schedulability, TT transmission efficiency and resource utilization compared to the state-of-art solutions.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"17 1","pages":"337-344"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84777368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502636
G. Cena, S. Scanzio, A. Valenzano
Applying link-level seamless redundancy to Wi-Fi noticeably ameliorates communication quality, but also doubles spectrum consumption. The adoption of mechanisms, operating at runtime, aimed at preventing the transmission on air of inessential frame copies, permits to lower the generated traffic tangibly and also improves behavior further. In this paper, a prototype setup is described, based on redundant Wi-Fi, which carries out reactive duplication avoidance completely in software. This makes it mostly independent from wireless adapters hardware. An experimental evaluation of its performance showed that, although implementation is preliminary, this solution is able to outperform plain seamless redundancy.
{"title":"A Prototype Implementation of Wi-Fi Seamless Redundancy with Reactive Duplication Avoidance","authors":"G. Cena, S. Scanzio, A. Valenzano","doi":"10.1109/ETFA.2018.8502636","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502636","url":null,"abstract":"Applying link-level seamless redundancy to Wi-Fi noticeably ameliorates communication quality, but also doubles spectrum consumption. The adoption of mechanisms, operating at runtime, aimed at preventing the transmission on air of inessential frame copies, permits to lower the generated traffic tangibly and also improves behavior further. In this paper, a prototype setup is described, based on redundant Wi-Fi, which carries out reactive duplication avoidance completely in software. This makes it mostly independent from wireless adapters hardware. An experimental evaluation of its performance showed that, although implementation is preliminary, this solution is able to outperform plain seamless redundancy.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"1 1","pages":"179-186"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72971941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502644
Edoardo Giusto, R. Ferrero, F. Gandino, B. Montrucchio, M. Rebaudengo, Mingyang Zhang
Air pollution, in particular due to particulate matter, is considered a critical issue, and it is receiving ever growing attention. Environmental monitoring is not limited to the outdoor case in crowded cities, but it is also usefully applied to indoor cases such as factories and offices, or in indoor/outdoor mixed case, such as construction sites or in general industrial plants. This paper describes the case study of an environmental monitoring system, which is compliant with Internet of Things domain. In particular it is suitable for indoor/outdoor industrial applications focused on Particulate Matter measurements. In order to create a reference model, a PM10/PM2.5 sensor not yet tested in literature is used, the Honeywell HPMA115S0-XXX. Four PM10/PM2.5 sensors are used together to test repeatability. This device turned out to be effective in esteeming the level of pollution using low cost sensors, as an alternative to expensive and not portable professional devices. The implementation proposed in this paper is able to give high R values of linear regression, guaranteeing at the same time low cost in terms of hardware and low power consumption.
{"title":"Particulate Matter Monitoring in Mixed Indoor/Outdoor Industrial Applications: A Case Study","authors":"Edoardo Giusto, R. Ferrero, F. Gandino, B. Montrucchio, M. Rebaudengo, Mingyang Zhang","doi":"10.1109/ETFA.2018.8502644","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502644","url":null,"abstract":"Air pollution, in particular due to particulate matter, is considered a critical issue, and it is receiving ever growing attention. Environmental monitoring is not limited to the outdoor case in crowded cities, but it is also usefully applied to indoor cases such as factories and offices, or in indoor/outdoor mixed case, such as construction sites or in general industrial plants. This paper describes the case study of an environmental monitoring system, which is compliant with Internet of Things domain. In particular it is suitable for indoor/outdoor industrial applications focused on Particulate Matter measurements. In order to create a reference model, a PM10/PM2.5 sensor not yet tested in literature is used, the Honeywell HPMA115S0-XXX. Four PM10/PM2.5 sensors are used together to test repeatability. This device turned out to be effective in esteeming the level of pollution using low cost sensors, as an alternative to expensive and not portable professional devices. The implementation proposed in this paper is able to give high R values of linear regression, guaranteeing at the same time low cost in terms of hardware and low power consumption.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"66 1","pages":"838-844"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75960950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502500
Carlos Neves, U. Moreno, A. Boava
Many technological areas have been affected by the appearance of the internet of Things (IoT). This phenomenon is happening because applications such as smart cities, smart grids, smart buildings, smart homes, industry, transportation, healthcare and surveillance are being adapted to a new paradigm for adaptability, modularity, heterogeneity, scalability, optimization and decentralization. In this sense, several IoT architectures are being proposed for the applications that are inserted in this new technological development, with the most recent approaches being based on the Software Defined Network (SDN). Therefore, to follow this technological development, there is a need to implement the applications of control systems in this new scenario, which imposes challenges to be overcome, such as nondeterministic networks, latency, jitter, bandwidth, packet loss and interoperability. The focus of this work is on how to combine Distributed Networked Control Systems (DNCS) and IoT to meet this new technological context. However, the first step to be taken is to define the topology of IoT-based Networked Control Systems (IoT-DNCS), then develop a suitable system architecture to make control systems via the Internet of Things possible. Therefore, this article aims to propose a problem formulation and a simple and general architecture for IoT-DNCS, specifying the function of each element of the system according to the topology of the problem, and the organization of them to implement the control loops between sensors, controllers and actuators. The architecture proposed in this paper serves as a starting point for studies on new strategies and structures for network and feedback control systems.
{"title":"IoT-Based Distributed Networked Control Systems Architecture","authors":"Carlos Neves, U. Moreno, A. Boava","doi":"10.1109/ETFA.2018.8502500","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502500","url":null,"abstract":"Many technological areas have been affected by the appearance of the internet of Things (IoT). This phenomenon is happening because applications such as smart cities, smart grids, smart buildings, smart homes, industry, transportation, healthcare and surveillance are being adapted to a new paradigm for adaptability, modularity, heterogeneity, scalability, optimization and decentralization. In this sense, several IoT architectures are being proposed for the applications that are inserted in this new technological development, with the most recent approaches being based on the Software Defined Network (SDN). Therefore, to follow this technological development, there is a need to implement the applications of control systems in this new scenario, which imposes challenges to be overcome, such as nondeterministic networks, latency, jitter, bandwidth, packet loss and interoperability. The focus of this work is on how to combine Distributed Networked Control Systems (DNCS) and IoT to meet this new technological context. However, the first step to be taken is to define the topology of IoT-based Networked Control Systems (IoT-DNCS), then develop a suitable system architecture to make control systems via the Internet of Things possible. Therefore, this article aims to propose a problem formulation and a simple and general architecture for IoT-DNCS, specifying the function of each element of the system according to the topology of the problem, and the organization of them to implement the control loops between sensors, controllers and actuators. The architecture proposed in this paper serves as a starting point for studies on new strategies and structures for network and feedback control systems.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"150 1","pages":"991-998"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76414011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502489
A. Cachada, J. Barbosa, P. Leitão, Carla A. S. Gcraldcs, Leonel Deusdado, J. Costa, Carlos Teixeira, J. Teixeira, António H. J. Moreira, Pedro Miguel, Luís Romero
In the current manufacturing world, the role of maintenance has been receiving increasingly more attention while companies understand that maintenance, when well performed, can be a strategic factor to achieve the corporate goals. The latest trends of maintenance leans towards the predictive approach, exemplified by the Prognosis and Health Management (PHM) and the Condition-based Maintenance (CBM) techniques. The implementation of such approaches demands a well structured architecture and can be boosted through the use of emergent ICT technologies, namely Internet of Things (IoT), cloud computing, advanced data analytics and augmented reality. Therefore, this paper describes the architecture of an intelligent and predictive maintenance system, aligned with Industry 4.0 principles, that considers advanced and online analysis of the collected data for the earlier detection of the occurrence of possible machine failures, and supports technicians during the maintenance interventions by providing a guided intelligent decision support.
{"title":"Maintenance 4.0: Intelligent and Predictive Maintenance System Architecture","authors":"A. Cachada, J. Barbosa, P. Leitão, Carla A. S. Gcraldcs, Leonel Deusdado, J. Costa, Carlos Teixeira, J. Teixeira, António H. J. Moreira, Pedro Miguel, Luís Romero","doi":"10.1109/ETFA.2018.8502489","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502489","url":null,"abstract":"In the current manufacturing world, the role of maintenance has been receiving increasingly more attention while companies understand that maintenance, when well performed, can be a strategic factor to achieve the corporate goals. The latest trends of maintenance leans towards the predictive approach, exemplified by the Prognosis and Health Management (PHM) and the Condition-based Maintenance (CBM) techniques. The implementation of such approaches demands a well structured architecture and can be boosted through the use of emergent ICT technologies, namely Internet of Things (IoT), cloud computing, advanced data analytics and augmented reality. Therefore, this paper describes the architecture of an intelligent and predictive maintenance system, aligned with Industry 4.0 principles, that considers advanced and online analysis of the collected data for the earlier detection of the occurrence of possible machine failures, and supports technicians during the maintenance interventions by providing a guided intelligent decision support.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"251 1","pages":"139-146"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76532392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/etfa.2018.8502617
{"title":"WIP Complex Engineering Systems and Systems Engineering","authors":"","doi":"10.1109/etfa.2018.8502617","DOIUrl":"https://doi.org/10.1109/etfa.2018.8502617","url":null,"abstract":"","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78231286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502655
M. B. Firvida, Hendrik Thamer, C. Uriarte, M. Freitag
The new challenging demands of the current market must be satisfied by modern material flow systems, with higher levels of flexibility and reliability. However, the current material flow systems are not capable to fully fulfill these new requirements and therefore, new approaches must be explored, focusing on mechanical modularization, interface standardization and decentralized control. In this paper, an algorithm is proposed for a decentralized omnidirectional route planning and reservation for small-scaled material flow systems in the three regular tessellations, namely equilateral triangles, squares and regular hexagons. It is believed that the developed algorithm will facilitate the profitable realization of highly flexible material flow systems required by new market demands, by increasing flexibility, robustness as well as the range of achievable logistic tasks. For the evaluation of the presented system's behavior, a multi-agent-based simulation-tool was developed. The promising results show the capabilities and potential of the system.
{"title":"Decentralized omnidirectional route planning and reservation for highly flexible material flow systems with small-scaled conveyor modules","authors":"M. B. Firvida, Hendrik Thamer, C. Uriarte, M. Freitag","doi":"10.1109/ETFA.2018.8502655","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502655","url":null,"abstract":"The new challenging demands of the current market must be satisfied by modern material flow systems, with higher levels of flexibility and reliability. However, the current material flow systems are not capable to fully fulfill these new requirements and therefore, new approaches must be explored, focusing on mechanical modularization, interface standardization and decentralized control. In this paper, an algorithm is proposed for a decentralized omnidirectional route planning and reservation for small-scaled material flow systems in the three regular tessellations, namely equilateral triangles, squares and regular hexagons. It is believed that the developed algorithm will facilitate the profitable realization of highly flexible material flow systems required by new market demands, by increasing flexibility, robustness as well as the range of achievable logistic tasks. For the evaluation of the presented system's behavior, a multi-agent-based simulation-tool was developed. The promising results show the capabilities and potential of the system.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"49 1","pages":"685-692"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76795558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502519
Peng Li, O. Niggemann
Integrating data analysis into workflows is a recent tendency in manufacturing sectors. According to the vision of Industry 4.0, data analysis can be automatically performed at any point of workflows if needed. In distributed and complex manufacturing systems, checking the integrity of data analysis processes is becoming more and more challenging and the dependency between (intermediate) analysis results is no more easy to understand for users involved in workflows. Therefore, a mechanism is desired, which is able to assist users in tracking and verifying distributed data analysis processes. In this paper, we extend the concept “data provenance” in the manufacturing domain to acquire information about the data origin and data changes. Furthermore, an architecture is proposed to manage provenance of process data, in which the data provenance is considered as annotation of process data. Different use cases are also given to show how data provenance can have impact on understanding and verifying data analysis processes in the manufacturing domain.
{"title":"A Data Provenance based Architecture to Enhance the Reliability of Data Analysis for Industry 4.0","authors":"Peng Li, O. Niggemann","doi":"10.1109/ETFA.2018.8502519","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502519","url":null,"abstract":"Integrating data analysis into workflows is a recent tendency in manufacturing sectors. According to the vision of Industry 4.0, data analysis can be automatically performed at any point of workflows if needed. In distributed and complex manufacturing systems, checking the integrity of data analysis processes is becoming more and more challenging and the dependency between (intermediate) analysis results is no more easy to understand for users involved in workflows. Therefore, a mechanism is desired, which is able to assist users in tracking and verifying distributed data analysis processes. In this paper, we extend the concept “data provenance” in the manufacturing domain to acquire information about the data origin and data changes. Furthermore, an architecture is proposed to manage provenance of process data, in which the data provenance is considered as annotation of process data. Different use cases are also given to show how data provenance can have impact on understanding and verifying data analysis processes in the manufacturing domain.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"2 1","pages":"1375-1382"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77567230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502597
Alexander Gogolev, Francisco Mendoza, Roland Braun
The paradigm of “Industry 4.0” suggests that industrial automation systems will converge towards unified and standardized solutions. The concept of Industrial IoT, in turn, drives to interconnect them via deterministic networking. The alliance of these concepts promises to simplify the integration and management of complex multi-vendor automation systems. This paper investigates the emergence of the former aspect, namely - field device integration with the embedded OPC UA over TSN, using already available products.
{"title":"TSN-Enabled OPC UA in Field Devices","authors":"Alexander Gogolev, Francisco Mendoza, Roland Braun","doi":"10.1109/ETFA.2018.8502597","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502597","url":null,"abstract":"The paradigm of “Industry 4.0” suggests that industrial automation systems will converge towards unified and standardized solutions. The concept of Industrial IoT, in turn, drives to interconnect them via deterministic networking. The alliance of these concepts promises to simplify the integration and management of complex multi-vendor automation systems. This paper investigates the emergence of the former aspect, namely - field device integration with the embedded OPC UA over TSN, using already available products.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"166 1","pages":"297-303"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76760636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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