Pub Date : 2018-09-01DOI: 10.1109/ETFA.2018.8502572
Aravind Ingalalli, Ravish Kumar, S. Bhadra
IEC 61850 and Common Information Model (CIM) (IEC 61968/61970) are predominantly used in smart grid domain to achieve the interoperability. CIM focuses on the organizational structures of different components within the smart grid while IEC 61850 focuses on the structure of information exchanges between field devices and systems. CIM can possibly be used for power system domain ontology and indeed for physical modeling too. On the other hand, the IEC 61850-7-420 defines object classes for assets such as Distributed Energy Resource (DER) which may include solar generation, storage, diesel generators etc., DER unit controllers, and other DER-associated power electronic devices (e.g., inverter). These object classes describe asset-specific attributes such as type of assets, set points, state of charge, limits, and ramp rate etc. While acknowledging the cumbersomeness involved in IEC 61850 engineering, there is a need to develop an easily engineer-able and interoperable system that would achieve the efficient operation of microgrid control system. In this paper, we have modelled a subset of microgrid system using different semantic models and tried to formulate the ontology to achieve an intended interoperable information model. The proposed model generation and deployment would achieve easy integration and autonomous operation of devices from different vendors with different information models.
{"title":"Ontological Formulation of Microgrid Control System for Interoperability","authors":"Aravind Ingalalli, Ravish Kumar, S. Bhadra","doi":"10.1109/ETFA.2018.8502572","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502572","url":null,"abstract":"IEC 61850 and Common Information Model (CIM) (IEC 61968/61970) are predominantly used in smart grid domain to achieve the interoperability. CIM focuses on the organizational structures of different components within the smart grid while IEC 61850 focuses on the structure of information exchanges between field devices and systems. CIM can possibly be used for power system domain ontology and indeed for physical modeling too. On the other hand, the IEC 61850-7-420 defines object classes for assets such as Distributed Energy Resource (DER) which may include solar generation, storage, diesel generators etc., DER unit controllers, and other DER-associated power electronic devices (e.g., inverter). These object classes describe asset-specific attributes such as type of assets, set points, state of charge, limits, and ramp rate etc. While acknowledging the cumbersomeness involved in IEC 61850 engineering, there is a need to develop an easily engineer-able and interoperable system that would achieve the efficient operation of microgrid control system. In this paper, we have modelled a subset of microgrid system using different semantic models and tried to formulate the ontology to achieve an intended interoperable information model. The proposed model generation and deployment would achieve easy integration and autonomous operation of devices from different vendors with different information models.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"55 1","pages":"1391-1398"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85322861","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.2018.8502660
J. L. Flores, Imanol Mugarza
The IoT and IIoT paradigms are creating new business opportunities. However, high-interconnectivity among all objects introduce new security concerns and challenges. Security is not a product, but a process. Security tests and audits have to constantly be accomplished. Once a security flaw is detected, a software patch fixing the security weakness could be then produced. This continuous security evaluation, which is iterative, might be expensive. In this paper, a novel vulnerability discovery approach is presented: Hadros. The particularity of the proposed design is that security tests are distributively executed among all the deployed IoT/IIoT nodes and performed at the idle time of the system, while runtime. Hadros is suitable and advantageous for the IoT and IIoT era, due to the fact that testing coverage is broadly increased as more devices are incorporated. Meanwhile, resources employed by the security researchers are also significantly reduced.
{"title":"Runtime Vulnerability Discovery as a Service on Industrial Internet of Things (IIoT) Systems","authors":"J. L. Flores, Imanol Mugarza","doi":"10.1109/ETFA.2018.8502660","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502660","url":null,"abstract":"The IoT and IIoT paradigms are creating new business opportunities. However, high-interconnectivity among all objects introduce new security concerns and challenges. Security is not a product, but a process. Security tests and audits have to constantly be accomplished. Once a security flaw is detected, a software patch fixing the security weakness could be then produced. This continuous security evaluation, which is iterative, might be expensive. In this paper, a novel vulnerability discovery approach is presented: Hadros. The particularity of the proposed design is that security tests are distributively executed among all the deployed IoT/IIoT nodes and performed at the idle time of the system, while runtime. Hadros is suitable and advantageous for the IoT and IIoT era, due to the fact that testing coverage is broadly increased as more devices are incorporated. Meanwhile, resources employed by the security researchers are also significantly reduced.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"14 1","pages":"948-955"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88093991","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.2018.8502631
Antje Rogalla, A. Fay, O. Niggemann
Current production planning and scheduling systems in automation do not meet the requirements of modern individualized production. Today's, static production processes impede customized manufacturing and small-scale production. A new way of thinking towards a dynamic control is required. This paper focuses on automated integrated process planning and scheduling on control level in discrete manufacturing. Existing algorithms in artificial intelligence planning are applied to solve process planning and scheduling problems. The challenge is to model the manufacturing system and products in a way that automated planners can generate efficiently process plans and schedules. Hence, based on a general classification of operations, different modeling options with regard to a successful automated process planning and scheduling are discussed. As a result, a domain modeling approach for discrete manufacturing is presented.
{"title":"Improved Domain Modeling for Realistic Automated Planning and Scheduling in Discrete Manufacturing","authors":"Antje Rogalla, A. Fay, O. Niggemann","doi":"10.1109/ETFA.2018.8502631","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502631","url":null,"abstract":"Current production planning and scheduling systems in automation do not meet the requirements of modern individualized production. Today's, static production processes impede customized manufacturing and small-scale production. A new way of thinking towards a dynamic control is required. This paper focuses on automated integrated process planning and scheduling on control level in discrete manufacturing. Existing algorithms in artificial intelligence planning are applied to solve process planning and scheduling problems. The challenge is to model the manufacturing system and products in a way that automated planners can generate efficiently process plans and schedules. Hence, based on a general classification of operations, different modeling options with regard to a successful automated process planning and scheduling are discussed. As a result, a domain modeling approach for discrete manufacturing is presented.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"6 1","pages":"464-471"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88702938","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.2018.8502492
Shanmugasivam Pillai, Naveen John Punnoose, P. Vadakkepat, A. Loh, Kee Jin Lee
Factories are increasingly pushing towards automation and data-centric approaches under the current Industry 4.0 standards. Early-stage product quality estimation is identified as one of the solutions that can significantly reduce manufacturing cost and wastage. However, quality estimation is a classification problem that is inherently challenging for traditional data-driven algorithms due to its imbalanced nature. In this paper, a framework is proposed, that combines the feature extraction capabilities of convolutional neural networks and the domain knowledge characteristics of fuzzy systems. The proposed method addresses data imbalance using an ensemble of class-biased individuals, that learn features using a class-weighted loss function. Experiments were conducted using a benchmark dataset and production data acquired from the semiconductor industry. Improvements were noted for G-Mean and ROC-AVC values when compared to existing algorithms.
{"title":"An Ensemble of fuzzy Class-Biased Networks for Product Quality Estimation","authors":"Shanmugasivam Pillai, Naveen John Punnoose, P. Vadakkepat, A. Loh, Kee Jin Lee","doi":"10.1109/ETFA.2018.8502492","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502492","url":null,"abstract":"Factories are increasingly pushing towards automation and data-centric approaches under the current Industry 4.0 standards. Early-stage product quality estimation is identified as one of the solutions that can significantly reduce manufacturing cost and wastage. However, quality estimation is a classification problem that is inherently challenging for traditional data-driven algorithms due to its imbalanced nature. In this paper, a framework is proposed, that combines the feature extraction capabilities of convolutional neural networks and the domain knowledge characteristics of fuzzy systems. The proposed method addresses data imbalance using an ensemble of class-biased individuals, that learn features using a class-weighted loss function. Experiments were conducted using a benchmark dataset and production data acquired from the semiconductor industry. Improvements were noted for G-Mean and ROC-AVC values when compared to existing algorithms.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"7 1","pages":"615-622"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88713259","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.2018.8502468
A. Ożadowicz, Jakub Grela, Lukasz Wisniewski, Krzysztof Smok
In this paper, an alternative and new approach to embed sophisticated Internet of Things (IoT) functionality into consumer electronic devices has been proposed. The approach has been evaluated by implementing it into an electric kettle. The proposed concept includes a new communication architecture, data models as well as the possibility to create user profiles. Moreover, it is compatible with the building automation and control systems (BACS) and other available IoT solutions. The presented evaluation shows that by careful consideration of the power consumption, there is a high potential to a safe significant amount of energy, especially if it is scaled up to the number of potential users. Furthermore, it is shown that the proposed architecture is very flexible and can be extended with several other functionalities or profiles, depended on the requirements and addressed device type.
{"title":"Application of the Internet of Things (IoT) Technology in Consumer Electronics - Case Study","authors":"A. Ożadowicz, Jakub Grela, Lukasz Wisniewski, Krzysztof Smok","doi":"10.1109/ETFA.2018.8502468","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502468","url":null,"abstract":"In this paper, an alternative and new approach to embed sophisticated Internet of Things (IoT) functionality into consumer electronic devices has been proposed. The approach has been evaluated by implementing it into an electric kettle. The proposed concept includes a new communication architecture, data models as well as the possibility to create user profiles. Moreover, it is compatible with the building automation and control systems (BACS) and other available IoT solutions. The presented evaluation shows that by careful consideration of the power consumption, there is a high potential to a safe significant amount of energy, especially if it is scaled up to the number of potential users. Furthermore, it is shown that the proposed architecture is very flexible and can be extended with several other functionalities or profiles, depended on the requirements and addressed device type.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"28 1","pages":"1037-1042"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72814098","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.2018.8502633
Sara Rachidi, E. Leclercq, Yoann Pigné, D. Lefebvre
This paper deals with problems of detection and isolation of temporal faults in timed stochastic discrete event systems. Partially labeled timed Petri nets are used to model the considered systems. Temporal faults corresponding to significant variations of the support of the probability density function (pdf) are considered. A pdf represents the firing duration of each transition. A Moving Average control chart (also known as a Moving Mean chart) is applied in order to detect the variation of mean duration. The advantages of the proposed analysis are to detect variations in time series when parameters vary slowly and to isolate the faults thanks to the signature table.
{"title":"Moving Average control chart for the detection and isolation of temporal faults in stochastic Petri nets","authors":"Sara Rachidi, E. Leclercq, Yoann Pigné, D. Lefebvre","doi":"10.1109/ETFA.2018.8502633","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502633","url":null,"abstract":"This paper deals with problems of detection and isolation of temporal faults in timed stochastic discrete event systems. Partially labeled timed Petri nets are used to model the considered systems. Temporal faults corresponding to significant variations of the support of the probability density function (pdf) are considered. A pdf represents the firing duration of each transition. A Moving Average control chart (also known as a Moving Mean chart) is applied in order to detect the variation of mean duration. The advantages of the proposed analysis are to detect variations in time series when parameters vary slowly and to isolate the faults thanks to the signature table.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"44 1","pages":"493-498"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72815383","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.2018.8502452
Salma Emara, Aya Elewa, Omar Wasil, Kholoud Moustafa, Nada Abdel Khalek, A. H. Soliman, Hassan H. Halawa, M. Elsalamouny, R. Daoud, H. Amer, Ahmed K. F. Khattab, H. Elsayed, T. Refaat
Vehicle-to-Everything (V2X) technology plays a critical role in maintaining road safety, avoiding accidents and controlling traffic flow. As self driving cars are expected to take over the roads, this paper discusses the intermediate phase in which manned and unmanned cars coexist. A heterogeneous network architecture that simultaneously serves manned and unmanned cars' different requirements in a suburban area is proposed and simulated using Riverbed Modeler. The feasibility of this architecture is examined in three different scenarios: Normal operation, congestion in both directions and Road Side Units (RSU) failure. In normal operation mode, traffic data is sent through Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure/Infrastructure-to-Vehicle (V2I/I2V or to RSU) using IEEE 802.11p and infotainment information is communicated as V2I/I2V using Long Term Evolution (LTE). A special case is highlighted and tested, in which congestion is in both directions. In such situation, data needs to be relayed to the nearest RSU using multi-hop communication. A fault-tolerant model is also proposed and analyzed in case of failure of RSU. The performance metrics are end-to-end delay, LTE response time, handover delay and packet loss ratio. The architecture proves its suitability by satisfying traffic control real time application requirements.
{"title":"Heterogeneous ITS Architecture for Manned and Unmanned Cars in Suburban Areas","authors":"Salma Emara, Aya Elewa, Omar Wasil, Kholoud Moustafa, Nada Abdel Khalek, A. H. Soliman, Hassan H. Halawa, M. Elsalamouny, R. Daoud, H. Amer, Ahmed K. F. Khattab, H. Elsayed, T. Refaat","doi":"10.1109/ETFA.2018.8502452","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502452","url":null,"abstract":"Vehicle-to-Everything (V2X) technology plays a critical role in maintaining road safety, avoiding accidents and controlling traffic flow. As self driving cars are expected to take over the roads, this paper discusses the intermediate phase in which manned and unmanned cars coexist. A heterogeneous network architecture that simultaneously serves manned and unmanned cars' different requirements in a suburban area is proposed and simulated using Riverbed Modeler. The feasibility of this architecture is examined in three different scenarios: Normal operation, congestion in both directions and Road Side Units (RSU) failure. In normal operation mode, traffic data is sent through Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure/Infrastructure-to-Vehicle (V2I/I2V or to RSU) using IEEE 802.11p and infotainment information is communicated as V2I/I2V using Long Term Evolution (LTE). A special case is highlighted and tested, in which congestion is in both directions. In such situation, data needs to be relayed to the nearest RSU using multi-hop communication. A fault-tolerant model is also proposed and analyzed in case of failure of RSU. The performance metrics are end-to-end delay, LTE response time, handover delay and packet loss ratio. The architecture proves its suitability by satisfying traffic control real time application requirements.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"12 1","pages":"918-925"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90781496","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.2018.8502611
Mahya Rahimi, E. Dumitrescu, É. Niel
This paper addresses the problem of scheduling through a visual, expressive and formal modeling approach, based on Timed Game Automata (TGA). The originality of the proposed approach lies in integrating various kinds of uncontrollability in the scheduling problem and also the ability of handling the sharing of multiple resources. This uncontrollable behaviors consist of the start time, the duration of the task and the failure occurrence in a schedule which are modeled by TGA. The models have the advantage of being directly exploitable by means of synthesis tools. To obtain the minimum makespan and optimal schedules as the result, a time-optimal reachability game is performed through Tiga tool. The obtained result for a scheduling example shows the huge difference in the obtained schedule with and without considering uncontrollable behaviors.
{"title":"Multi-resource sharing scheduling considering uncontrollable environment","authors":"Mahya Rahimi, E. Dumitrescu, É. Niel","doi":"10.1109/ETFA.2018.8502611","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502611","url":null,"abstract":"This paper addresses the problem of scheduling through a visual, expressive and formal modeling approach, based on Timed Game Automata (TGA). The originality of the proposed approach lies in integrating various kinds of uncontrollability in the scheduling problem and also the ability of handling the sharing of multiple resources. This uncontrollable behaviors consist of the start time, the duration of the task and the failure occurrence in a schedule which are modeled by TGA. The models have the advantage of being directly exploitable by means of synthesis tools. To obtain the minimum makespan and optimal schedules as the result, a time-optimal reachability game is performed through Tiga tool. The obtained result for a scheduling example shows the huge difference in the obtained schedule with and without considering uncontrollable behaviors.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"25 1","pages":"500-507"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78821902","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.2018.8502606
Clemens Schwenke, Henri Blankenstein, K. Kabitzsch
Semiconductor fabricating facilities (wafer fabs) aim for manageable, heuristics that can reproducibly solve their typical large-scale dynamic complex job shop scheduling problems. Hence, the main contribution of this work is a deterministic tabu search algorithm that sequences, routes and batches the process operations of a continuous reentrant material flow using a large-scale mix of single, flexible (parallel) and batch machines. Due to continuous production, release dates and due dates are considered to minimize job tardiness. Using known large-scale benchmark instances, sixteen neighborhood structures are validated to find a practical compromise between solution quality and computational effort. The result is a novel combination of neighborhoods for simultaneous sequencing, routing and batching that finds good schedules for problem instances of industrial size and complexity in an acceptable time.
{"title":"Large-Scale Scheduling with Routing, Batching and Release Dates for Wafer Fabs using Tabu Search","authors":"Clemens Schwenke, Henri Blankenstein, K. Kabitzsch","doi":"10.1109/ETFA.2018.8502606","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502606","url":null,"abstract":"Semiconductor fabricating facilities (wafer fabs) aim for manageable, heuristics that can reproducibly solve their typical large-scale dynamic complex job shop scheduling problems. Hence, the main contribution of this work is a deterministic tabu search algorithm that sequences, routes and batches the process operations of a continuous reentrant material flow using a large-scale mix of single, flexible (parallel) and batch machines. Due to continuous production, release dates and due dates are considered to minimize job tardiness. Using known large-scale benchmark instances, sixteen neighborhood structures are validated to find a practical compromise between solution quality and computational effort. The result is a novel combination of neighborhoods for simultaneous sequencing, routing and batching that finds good schedules for problem instances of industrial size and complexity in an acceptable time.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"66 1","pages":"472-479"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77063873","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.2018.8502496
Carlos A. Garcia, Marcelo V. García, E. Irisarri, F. Pérez, M. Marcos, Elisabet Estévez-Estévez
The adoption of virtualization technologies in the development of software has brought advances in concepts such as flexibility and innovation in the field. The advantages introduced by these emerging solutions are widely known in Cloud Computing and Big Data systems. It should also be noted that these concepts have contributed to spreading such technologies in different contexts. Good examples of this are Cyber-Physical Production Systems (CPPS) and Industrial Internet-of-Things (IIoT) providing the future smart factories with advanced flexibility in production. In this sense, this paper proposes a flexible container architecture for industrial control. More specifically, it is focused on multi-purpose controllers or mobile anthropomorphic robots making use of a container solution. To this end, key technologies as Docker or IEC 61499, are used to address at the same time the deployment of flexible functions and the virtualization of control, with legacy support.
{"title":"Flexible Container Platform Architecture for Industrial Robot Control","authors":"Carlos A. Garcia, Marcelo V. García, E. Irisarri, F. Pérez, M. Marcos, Elisabet Estévez-Estévez","doi":"10.1109/ETFA.2018.8502496","DOIUrl":"https://doi.org/10.1109/ETFA.2018.8502496","url":null,"abstract":"The adoption of virtualization technologies in the development of software has brought advances in concepts such as flexibility and innovation in the field. The advantages introduced by these emerging solutions are widely known in Cloud Computing and Big Data systems. It should also be noted that these concepts have contributed to spreading such technologies in different contexts. Good examples of this are Cyber-Physical Production Systems (CPPS) and Industrial Internet-of-Things (IIoT) providing the future smart factories with advanced flexibility in production. In this sense, this paper proposes a flexible container architecture for industrial control. More specifically, it is focused on multi-purpose controllers or mobile anthropomorphic robots making use of a container solution. To this end, key technologies as Docker or IEC 61499, are used to address at the same time the deployment of flexible functions and the virtualization of control, with legacy support.","PeriodicalId":6566,"journal":{"name":"2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":"39 1","pages":"1056-1059"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88204769","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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