Pub Date : 2016-09-01DOI: 10.1109/ETFA.2016.7733496
D. Henneke, Christian Freudenmann, Markus Kammerstetter, D. Rua, Lukasz Wisniewski, J. Jasperneite
Recent developments under the term Smart Grid change how users consume electricity and interact with the power grid. Smart metering and energy management are developments that transform the yet passive energy consumer to a participant that is actively involved in the energy market by using variable energy tariffs or by demand-response services. But such functionality demands a platform that integrates all smart devices in the users property, connects to external services and electricity providers, and has interfaces that provide information and control to the user. AnyPLACE will develop such platform. Based on the latest legislation in the European member states, it will incorporate smart meters and create links to external service providers. Furthermore, it connects the devices in the property of the end-user in order to be able to fully monitor and control the energy consumption. This paper presents the AnyPLACE idea and the problems that are solved on the communications aspect. It provides an in-depth analysis of current European legislation in the context of smart metering and provides the requirements that need to be realized by the platform. Additionally, it proposes a strategy to create a solution that can be used in any place of Europe. The paper also incorporates the security and privacy requirements in different domains and sketches a solution and architecture to fulfill these by incorporating existing open source implementations as provided by the openHAB project.
{"title":"Communications for AnyPLACE: A smart metering platform with management and control functionalities","authors":"D. Henneke, Christian Freudenmann, Markus Kammerstetter, D. Rua, Lukasz Wisniewski, J. Jasperneite","doi":"10.1109/ETFA.2016.7733496","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733496","url":null,"abstract":"Recent developments under the term Smart Grid change how users consume electricity and interact with the power grid. Smart metering and energy management are developments that transform the yet passive energy consumer to a participant that is actively involved in the energy market by using variable energy tariffs or by demand-response services. But such functionality demands a platform that integrates all smart devices in the users property, connects to external services and electricity providers, and has interfaces that provide information and control to the user. AnyPLACE will develop such platform. Based on the latest legislation in the European member states, it will incorporate smart meters and create links to external service providers. Furthermore, it connects the devices in the property of the end-user in order to be able to fully monitor and control the energy consumption. This paper presents the AnyPLACE idea and the problems that are solved on the communications aspect. It provides an in-depth analysis of current European legislation in the context of smart metering and provides the requirements that need to be realized by the platform. Additionally, it proposes a strategy to create a solution that can be used in any place of Europe. The paper also incorporates the security and privacy requirements in different domains and sketches a solution and architecture to fulfill these by incorporating existing open source implementations as provided by the openHAB project.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90890721","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733509
Bram Vanseveren, Wesley Cottegnie, J. Knockaert, F. Depuydt, Stijn Noppe, P. Saey
The presented PROFIBUS DP Slave Shield creates a link between a PROFIBUS DP network and a microcontroller or embedded controller. The hardware can be used as an extension module for different embedded controllers with sufficiently fast IO. The system opens possibilities to connect virtual systems or Hardware-In-the-Loop systems running real-time MATLAB models to a PROFIBUS DP network running up to 12 Mbps. Measurement of signal timing and latency shows that the shield itself does not introduce significant latency.
{"title":"Low-cost PROFIBUS DP Slave Shield for embedded controllers","authors":"Bram Vanseveren, Wesley Cottegnie, J. Knockaert, F. Depuydt, Stijn Noppe, P. Saey","doi":"10.1109/ETFA.2016.7733509","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733509","url":null,"abstract":"The presented PROFIBUS DP Slave Shield creates a link between a PROFIBUS DP network and a microcontroller or embedded controller. The hardware can be used as an extension module for different embedded controllers with sufficiently fast IO. The system opens possibilities to connect virtual systems or Hardware-In-the-Loop systems running real-time MATLAB models to a PROFIBUS DP network running up to 12 Mbps. Measurement of signal timing and latency shows that the shield itself does not introduce significant latency.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86713495","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733563
Matthias Beckert, Mischa Möstl, R. Ernst
Multi-core CPUs are quickly gaining importance in automotive ECUs. While using multi-core architectures for application integration is meanwhile reasonably well understood, parallelization of existing task sets and partitioning of future computation intensive tasks still shows performance limitations and challenges portability and flexibility. The logical execution time (LET) paradigm has been proposed to control core-to-core communication timing which is one of the bottlenecks for automotive system parallelization. We show how to improve the predictability and performance of core-to-core communication by applying only minor modifications to the currently used partitioned static scheduling strategy. The basic idea is to guarantee better response times for low-priority tasks by boosting its priority, thereby using higher priority system slack. It can be selectively applied to individual tasks, and can implement the LET paradigm on all or on a subset of the tasks of a system. It is applicable to lower granularities down to individual runnables which is highly important in automotive applications with large container tasks. We show correctness of the approach and evaluate its performance in a microkernel implementation where it exhibits high performance.
{"title":"Zero-time communication for automotive multi-core systems under SPP scheduling","authors":"Matthias Beckert, Mischa Möstl, R. Ernst","doi":"10.1109/ETFA.2016.7733563","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733563","url":null,"abstract":"Multi-core CPUs are quickly gaining importance in automotive ECUs. While using multi-core architectures for application integration is meanwhile reasonably well understood, parallelization of existing task sets and partitioning of future computation intensive tasks still shows performance limitations and challenges portability and flexibility. The logical execution time (LET) paradigm has been proposed to control core-to-core communication timing which is one of the bottlenecks for automotive system parallelization. We show how to improve the predictability and performance of core-to-core communication by applying only minor modifications to the currently used partitioned static scheduling strategy. The basic idea is to guarantee better response times for low-priority tasks by boosting its priority, thereby using higher priority system slack. It can be selectively applied to individual tasks, and can implement the LET paradigm on all or on a subset of the tasks of a system. It is applicable to lower granularities down to individual runnables which is highly important in automotive applications with large container tasks. We show correctness of the approach and evaluate its performance in a microkernel implementation where it exhibits high performance.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88177367","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733705
R. French, H. Marin-Reyes
Impact and its measure of outcome is a given performance indicator within academia. Impact metrics and the associated understanding play a large part of how academic research is judged and ultimately funded. Natural progression of successful scientific research into industry is now an essential tool for academia. This paper describes what began over ten years ago as a concept to automate a bespoke welding system, highlighting its evolution from the research laboratories of The University of Sheffield to become a platform technology for aerospace re-manufacturing developed though industry-academia collaboration. The design process, funding mechanisms, research and development trials and interaction between robotic technology and experienced welding engineers has made possible the construction of a robotic aerospace turbofan jet engine blade re-manufacturing system. This is a joint collaborative research and development project carried out by VBC Instrument Engineering Limited (UK) and The University of Sheffield (UK) who are funded by the UK governments' innovation agency, Innovate-UK with the Aerospace Technology Institute, the Science and Facilities Technology Council (STFC) and the Engineering and Physical Sciences Research Council (EPSRC).
{"title":"Underpinning UK high-value manufacturing: Development of a robotic re-manufacturing system","authors":"R. French, H. Marin-Reyes","doi":"10.1109/ETFA.2016.7733705","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733705","url":null,"abstract":"Impact and its measure of outcome is a given performance indicator within academia. Impact metrics and the associated understanding play a large part of how academic research is judged and ultimately funded. Natural progression of successful scientific research into industry is now an essential tool for academia. This paper describes what began over ten years ago as a concept to automate a bespoke welding system, highlighting its evolution from the research laboratories of The University of Sheffield to become a platform technology for aerospace re-manufacturing developed though industry-academia collaboration. The design process, funding mechanisms, research and development trials and interaction between robotic technology and experienced welding engineers has made possible the construction of a robotic aerospace turbofan jet engine blade re-manufacturing system. This is a joint collaborative research and development project carried out by VBC Instrument Engineering Limited (UK) and The University of Sheffield (UK) who are funded by the UK governments' innovation agency, Innovate-UK with the Aerospace Technology Institute, the Science and Facilities Technology Council (STFC) and the Engineering and Physical Sciences Research Council (EPSRC).","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86677381","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733495
Zhixiang Zou, G. Buticchi, Marco Liserre
The Smart Transformer (ST) is a solid-state transformer performing not only a voltage step-down function but also energy and information management. With the help of control and communication technology, the ST can increase hosting capacity of renewable energies and provide ancillary services to utility and customers. To better exploit the potential of a ST-fed grid, a proper design of architecture, control scenarios and its corresponding communication network has to be done. This paper aims at giving a better understanding of the functionality of the ST-fed grid and of the associated communication challenges.
{"title":"Control and communication in the Smart Transformer-fed grid","authors":"Zhixiang Zou, G. Buticchi, Marco Liserre","doi":"10.1109/ETFA.2016.7733495","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733495","url":null,"abstract":"The Smart Transformer (ST) is a solid-state transformer performing not only a voltage step-down function but also energy and information management. With the help of control and communication technology, the ST can increase hosting capacity of renewable energies and provide ancillary services to utility and customers. To better exploit the potential of a ST-fed grid, a proper design of architecture, control scenarios and its corresponding communication network has to be done. This paper aims at giving a better understanding of the functionality of the ST-fed grid and of the associated communication challenges.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86327755","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733645
Alexander Dennert, M. Wollschlaeger, P. Gering, T. Knothe, Anne Lemcke
Todays production processes are becoming more and more flexible. Customers frequently demand specific production steps that fit to their processes. This leads to a needed flexibility for systems that are used to support decision making processes and the production itself. In this paper an approach is presented that uses process definition coming from an integrated enterprise modelling for connecting information systems and production systems modules. An architecture is presented that uses these models for each process step to provide the needed information for decision makers.
{"title":"Using process models to support customer specific production processes","authors":"Alexander Dennert, M. Wollschlaeger, P. Gering, T. Knothe, Anne Lemcke","doi":"10.1109/ETFA.2016.7733645","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733645","url":null,"abstract":"Todays production processes are becoming more and more flexible. Customers frequently demand specific production steps that fit to their processes. This leads to a needed flexibility for systems that are used to support decision making processes and the production itself. In this paper an approach is presented that uses process definition coming from an integrated enterprise modelling for connecting information systems and production systems modules. An architecture is presented that uses these models for each process step to provide the needed information for decision makers.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86436347","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733612
Eleftherios Kokoris-Kogias, Orfefs Voutyras, T. Varvarigou
The integration of social networking concepts into Internet of Things systems is a burgeoning topic of research that promises to support novel and more powerful applications. In this paper we focus on the design and implementation of a highly scalable Trust and Reputation Model for the Internet of Things based on the social approach that the COSMOS project introduces, as part of its final results. We create our model by combining popular solutions proposed for Peer-to-Peer and mobile ad-hoc networks and adapting them on the Internet of Things concept. Each Thing can compute the Trust index of another Thing based on its own experiences, while it has the capability of determining its Reputation Index either by consulting its other “friends” (Followees) or referring to the Platform, a management system used in COSMOS. The model is tested through simulations of the proposed social system, demonstrating the ability of TRM-SIoT to achieve the Social Exclusion of malicious nodes and collectives from the network, with low computational overhead and high scalability. Furthermore, due to the adaptive nature of the system, Social Reintegration of these nodes is also possible.
{"title":"TRM-SIoT: A scalable hybrid trust & reputation model for the social Internet of Things","authors":"Eleftherios Kokoris-Kogias, Orfefs Voutyras, T. Varvarigou","doi":"10.1109/ETFA.2016.7733612","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733612","url":null,"abstract":"The integration of social networking concepts into Internet of Things systems is a burgeoning topic of research that promises to support novel and more powerful applications. In this paper we focus on the design and implementation of a highly scalable Trust and Reputation Model for the Internet of Things based on the social approach that the COSMOS project introduces, as part of its final results. We create our model by combining popular solutions proposed for Peer-to-Peer and mobile ad-hoc networks and adapting them on the Internet of Things concept. Each Thing can compute the Trust index of another Thing based on its own experiences, while it has the capability of determining its Reputation Index either by consulting its other “friends” (Followees) or referring to the Platform, a management system used in COSMOS. The model is tested through simulations of the proposed social system, demonstrating the ability of TRM-SIoT to achieve the Social Exclusion of malicious nodes and collectives from the network, with low computational overhead and high scalability. Furthermore, due to the adaptive nature of the system, Social Reintegration of these nodes is also possible.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86156685","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733727
Selma Kchir, S. Dhouib, Jérémie Tatibouet, Baptiste Gradoussoff, Max Da Silva Simoes
Robotic systems are a typical example of complex systems. Their design involves a combination of different technologies, requiring a multi-disciplinary approach. This is particularly challenging when a robotic system is required to interact either with humans or other entities within its environment. To tackle this complexity, we propose a design and validation approach based on MDE (Model-Driven Engineering) principles for industrial manipulators. We propose an extension of RobotML for manipulation, a modelling environment based on the Papyrus tool, which was developed specifically for the robotics domain. The extension is aiming to model a complete robotic setting, including protagonists, objects, their properties, the interactions between them, the services provided by the robots, and the actions they can perform. Then we propose to use model execution techniques to validate the design models. We illustrate our approach on a robotic scenario dedicated to the Sybot collaborative robot.
{"title":"RobotML for industrial robots: Design and simulation of manipulation scenarios","authors":"Selma Kchir, S. Dhouib, Jérémie Tatibouet, Baptiste Gradoussoff, Max Da Silva Simoes","doi":"10.1109/ETFA.2016.7733727","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733727","url":null,"abstract":"Robotic systems are a typical example of complex systems. Their design involves a combination of different technologies, requiring a multi-disciplinary approach. This is particularly challenging when a robotic system is required to interact either with humans or other entities within its environment. To tackle this complexity, we propose a design and validation approach based on MDE (Model-Driven Engineering) principles for industrial manipulators. We propose an extension of RobotML for manipulation, a modelling environment based on the Papyrus tool, which was developed specifically for the robotics domain. The extension is aiming to model a complete robotic setting, including protagonists, objects, their properties, the interactions between them, the services provided by the robots, and the actions they can perform. Then we propose to use model execution techniques to validate the design models. We illustrate our approach on a robotic scenario dedicated to the Sybot collaborative robot.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77329604","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733557
D. Schulz
During the last half century, we have seen several innovations in industrial communication, from the introduction of 4-20mA signals, over digital fieldbuses to Industrial Ethernet and meshed Wireless Sensor Networks. These innovations met the demand for a higher degree of standardization, larger plants, and an increasing number of vertical applications inside the automation systems. With the Industrial Internet of Things, the number of communication nodes inside a plant will further increase, and seamless access to data will require an unprecedented degree of flexibility when it comes to configuring industrial IoT networks. Before setting out to define a reference architechture for IoT network management, it makes sense to do a stock-taking of the existing technologies, which have grown over the last decades and include a collection of vendor- and technology-specific solutions. In this paper, we summarize the constraints and requirements for network orchestration in IoT-centric automation systems, and we assess the state of the art against these requirements. At the dawn of Industrial IoT, the objective of this analysis is create a common understanding between IT and automation domains on the needs of industrial network management.
{"title":"Network models for the industrial intranet","authors":"D. Schulz","doi":"10.1109/ETFA.2016.7733557","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733557","url":null,"abstract":"During the last half century, we have seen several innovations in industrial communication, from the introduction of 4-20mA signals, over digital fieldbuses to Industrial Ethernet and meshed Wireless Sensor Networks. These innovations met the demand for a higher degree of standardization, larger plants, and an increasing number of vertical applications inside the automation systems. With the Industrial Internet of Things, the number of communication nodes inside a plant will further increase, and seamless access to data will require an unprecedented degree of flexibility when it comes to configuring industrial IoT networks. Before setting out to define a reference architechture for IoT network management, it makes sense to do a stock-taking of the existing technologies, which have grown over the last decades and include a collection of vendor- and technology-specific solutions. In this paper, we summarize the constraints and requirements for network orchestration in IoT-centric automation systems, and we assess the state of the art against these requirements. At the dawn of Industrial IoT, the objective of this analysis is create a common understanding between IT and automation domains on the needs of industrial network management.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91506604","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 : 2016-09-01DOI: 10.1109/ETFA.2016.7733572
Willian Tessaro Lunardi, Leonardo A. Amaral, S. Marczak, Fabiano Hessel, H. Voos
During the past few years, with the fast development and proliferation of the Internet of Things (IoT), many application areas have started to exploit this new computing paradigm. The number of active computing devices has been growing at a rapid pace in IoT environments around the world. Consequently, a mechanism to deal with this different devices has become necessary. Middleware systems solutions for IoT have been developed in both research and industrial environments to supply this need. However, decision analytics remain a critical challenge. In this work we present the Decision Support IoT Framework composed of COBASEN, an IoT search engine to address the research challenge regarding the discovery and selection of IoT devices when large number of devices with overlapping and sometimes redundant functionality are available in IoT middleware systems, and DMS, a rule-based reasoner engine allowing to set up computational analytics on device data when it is still in motion, extracting valuable information from it for automated decision making. DMS uses Complex Event Processing to analyze and react over streaming data, allowing for example, to trigger an actuator when a specific error or condition appears in the stream. The main goal of this work is to highlight the importance of a decision support system for decision analytics in the IoT paradigm. We developed a system which implements DMS concepts. However, for preliminarily tests, we made a functional evaluation of both systems in terms of performance. Our initial findings suggest that the Decision Support IoT Framework provides important approaches that facilitate the development of IoT applications, and provides a new way to see how the business rules and decision-making will be made towards the Internet of Things.
{"title":"Automated Decision Support IoT Framework","authors":"Willian Tessaro Lunardi, Leonardo A. Amaral, S. Marczak, Fabiano Hessel, H. Voos","doi":"10.1109/ETFA.2016.7733572","DOIUrl":"https://doi.org/10.1109/ETFA.2016.7733572","url":null,"abstract":"During the past few years, with the fast development and proliferation of the Internet of Things (IoT), many application areas have started to exploit this new computing paradigm. The number of active computing devices has been growing at a rapid pace in IoT environments around the world. Consequently, a mechanism to deal with this different devices has become necessary. Middleware systems solutions for IoT have been developed in both research and industrial environments to supply this need. However, decision analytics remain a critical challenge. In this work we present the Decision Support IoT Framework composed of COBASEN, an IoT search engine to address the research challenge regarding the discovery and selection of IoT devices when large number of devices with overlapping and sometimes redundant functionality are available in IoT middleware systems, and DMS, a rule-based reasoner engine allowing to set up computational analytics on device data when it is still in motion, extracting valuable information from it for automated decision making. DMS uses Complex Event Processing to analyze and react over streaming data, allowing for example, to trigger an actuator when a specific error or condition appears in the stream. The main goal of this work is to highlight the importance of a decision support system for decision analytics in the IoT paradigm. We developed a system which implements DMS concepts. However, for preliminarily tests, we made a functional evaluation of both systems in terms of performance. Our initial findings suggest that the Decision Support IoT Framework provides important approaches that facilitate the development of IoT applications, and provides a new way to see how the business rules and decision-making will be made towards the Internet of Things.","PeriodicalId":6483,"journal":{"name":"2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88954087","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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