Pub Date : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972116
M. Krammer, M. Benedikt
Co-simulation is considered as a state-of-the-art methodology in many industrial domains. It enables virtual system development in distributed, multi-tiered environments, like the automotive industry. The Distributed Co-Simulation Protocol (DCP) is a novel specification of an application layer communication protocol. It is standardized next to the well-established Functional Mock-Up Interface (FMI). The DCP specification addresses design and behaviour of single DCP slaves, as main components of larger, possibly distributed, co-simulation scenarios. At this point in time, no tailor-made solution for convenient description of distributed co-simulation scenarios is available. This paper presents a first version of DCPML, a domain specific modeling language for distributed co-simulation scenarios. It is based on three layers of integration and contributes to development efficiency by following a front-loading approach. It is designed as a UML profile, extending existing visual notation languages like UML and SysML. The language can be used for design, communication, and preparation for execution, of distributed co-simulation scenarios. For demonstration purposes, it is implemented in an industry relevant systems engineering tool. DCPML models can be used to import and export XML data, representing DCP slave and scenario descriptions. A typical demonstrator from the automotive domain is shown. It highlights a tool implementation and the capabilities of DCPML.
{"title":"Design and Application of a Domain Specific Modeling Language for Distributed Co-Simulation","authors":"M. Krammer, M. Benedikt","doi":"10.1109/INDIN41052.2019.8972116","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972116","url":null,"abstract":"Co-simulation is considered as a state-of-the-art methodology in many industrial domains. It enables virtual system development in distributed, multi-tiered environments, like the automotive industry. The Distributed Co-Simulation Protocol (DCP) is a novel specification of an application layer communication protocol. It is standardized next to the well-established Functional Mock-Up Interface (FMI). The DCP specification addresses design and behaviour of single DCP slaves, as main components of larger, possibly distributed, co-simulation scenarios. At this point in time, no tailor-made solution for convenient description of distributed co-simulation scenarios is available. This paper presents a first version of DCPML, a domain specific modeling language for distributed co-simulation scenarios. It is based on three layers of integration and contributes to development efficiency by following a front-loading approach. It is designed as a UML profile, extending existing visual notation languages like UML and SysML. The language can be used for design, communication, and preparation for execution, of distributed co-simulation scenarios. For demonstration purposes, it is implemented in an industry relevant systems engineering tool. DCPML models can be used to import and export XML data, representing DCP slave and scenario descriptions. A typical demonstrator from the automotive domain is shown. It highlights a tool implementation and the capabilities of DCPML.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122446874","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972059
Filippo Battaglia, M. Collotta, Luca Leonardi, L. L. Bello, Gaetano Patti
The IEEE 802.15.4 standard contains the specifications of protocols that are suitable for industrial applications. Each of them is tailored for a specific industrial domain. One of these protocols is the Deterministic and Synchronous Multichannel Extension (DSME), which targets general industrial and commercial application domains. The DSME protocol extends the classic IEEE 802.15.4 protocol, overcoming the limitation on the maximum number of Guaranteed Time Slots (GTSs) and providing for channel diversity to increase network robustness. However, the DSME protocol suffers from scalability problems due to the rigid structure of the DSME multi-superframe, which in large networks does not allow to handle GTSs in an efficient way. To overcome this limitation, this work proposes the Shared DSME, an approach to handle the GTSs within the multi-superframe in an efficient way, thus increasing the scalability of the DSME protocol.
{"title":"A scalable approach for periodic traffic scheduling in IEEE 802.15.4-DSME networks","authors":"Filippo Battaglia, M. Collotta, Luca Leonardi, L. L. Bello, Gaetano Patti","doi":"10.1109/INDIN41052.2019.8972059","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972059","url":null,"abstract":"The IEEE 802.15.4 standard contains the specifications of protocols that are suitable for industrial applications. Each of them is tailored for a specific industrial domain. One of these protocols is the Deterministic and Synchronous Multichannel Extension (DSME), which targets general industrial and commercial application domains. The DSME protocol extends the classic IEEE 802.15.4 protocol, overcoming the limitation on the maximum number of Guaranteed Time Slots (GTSs) and providing for channel diversity to increase network robustness. However, the DSME protocol suffers from scalability problems due to the rigid structure of the DSME multi-superframe, which in large networks does not allow to handle GTSs in an efficient way. To overcome this limitation, this work proposes the Shared DSME, an approach to handle the GTSs within the multi-superframe in an efficient way, thus increasing the scalability of the DSME protocol.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116271010","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972176
D. G. Costa, Elivelton O. Rangel, J. P. J. Peixoto, Thiago C. Jesus
The maturation of Wireless Visual Sensor Networks (WVSN) in the last years, with new communication technologies and continuous releasing of embedded hardware development platforms, has significantly enlarged the number and relevance of visual monitoring applications, better supporting smart city and Internet of Things initiatives. However, there are still several challenges to be addressed, especially when visual sensors are used for critical monitoring. When availability issues are addressed in WVSN, different metrics and algorithms can be employed, but such approaches are usually focused on a single coverage goal. Actually, some monitoring applications may want to simultaneously optimize coverage over targets and areas alike, which requires an appropriate perception of the level of availability of the application at any given time. In this context, this article proposes a new availability metric for WVSN, considering that all targets and areas should be optimally and simultaneously covered by the cameras. In addition, optimization algorithms are proposed and compared, aiming at improving the availability of applications when rotatable visual sensors are employed.
{"title":"An Availability Metric and Optimization Algorithms for Simultaneous Coverage of Targets and Areas by Wireless Visual Sensor Networks","authors":"D. G. Costa, Elivelton O. Rangel, J. P. J. Peixoto, Thiago C. Jesus","doi":"10.1109/INDIN41052.2019.8972176","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972176","url":null,"abstract":"The maturation of Wireless Visual Sensor Networks (WVSN) in the last years, with new communication technologies and continuous releasing of embedded hardware development platforms, has significantly enlarged the number and relevance of visual monitoring applications, better supporting smart city and Internet of Things initiatives. However, there are still several challenges to be addressed, especially when visual sensors are used for critical monitoring. When availability issues are addressed in WVSN, different metrics and algorithms can be employed, but such approaches are usually focused on a single coverage goal. Actually, some monitoring applications may want to simultaneously optimize coverage over targets and areas alike, which requires an appropriate perception of the level of availability of the application at any given time. In this context, this article proposes a new availability metric for WVSN, considering that all targets and areas should be optimally and simultaneously covered by the cameras. In addition, optimization algorithms are proposed and compared, aiming at improving the availability of applications when rotatable visual sensors are employed.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117045508","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972091
Xulong Wang, J. Qi, Yun Yang, Po Yang
Modeling and predicting progression of chronic diseases like Alzheimer's disease (AD) has recently received much attention. Traditional approaches in this field mostly rely on harnessing statistical methods into processing medical data like genes, MRI images, demographics, etc. Latest advances of machine learning techniques grant another chance of training disease progression models for AD. This trend leads on exploring and designing new machine learning techniques towards multi-modality medical and health dataset for predicting occurrences and modeling progression of AD. This paper aims at giving a systemic survey on summarizing and comparing several mainstream techniques for AD progression modeling, and discuss the potential and limitations of these techniques in practical applications. We summarize three key techniques for modeling AD progression: multi-task model, time series model and deep learning. In particular, we discuss the basic structural elements of most representative multi-task learning algorithms, and analyze a multi-task disease prediction model based on longitudinal time. Lastly, some potential future research direction is given.
{"title":"A Survey of Disease Progression Modeling Techniques for Alzheimer's Diseases","authors":"Xulong Wang, J. Qi, Yun Yang, Po Yang","doi":"10.1109/INDIN41052.2019.8972091","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972091","url":null,"abstract":"Modeling and predicting progression of chronic diseases like Alzheimer's disease (AD) has recently received much attention. Traditional approaches in this field mostly rely on harnessing statistical methods into processing medical data like genes, MRI images, demographics, etc. Latest advances of machine learning techniques grant another chance of training disease progression models for AD. This trend leads on exploring and designing new machine learning techniques towards multi-modality medical and health dataset for predicting occurrences and modeling progression of AD. This paper aims at giving a systemic survey on summarizing and comparing several mainstream techniques for AD progression modeling, and discuss the potential and limitations of these techniques in practical applications. We summarize three key techniques for modeling AD progression: multi-task model, time series model and deep learning. In particular, we discuss the basic structural elements of most representative multi-task learning algorithms, and analyze a multi-task disease prediction model based on longitudinal time. Lastly, some potential future research direction is given.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116137069","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972284
Andrii Berezovskyi, R. Inam, Jad El-khoury, Martin Törngren, E. Fersman
This paper addresses the problem of reducing the number of messages needed to exchange state updates between the Cyber-Physical System (CPS) components that integrate with the rest of the CPS through Digital Twins in order to maintain uniform communication interface and carry out their tasks correctly and safely. The main contribution is a proposed architecture and the discussion of its suitability to support correct execution of complex tasks across the CPS. A new State Event Filtering component is presented to provide event-based communication among Digital Twins that are based on the Linked Data principles while keeping the fan-out limited to ensure the scalability of the architecture.
{"title":"Efficient State Update Exchange in a CPS Environment for Linked Data-based Digital Twins","authors":"Andrii Berezovskyi, R. Inam, Jad El-khoury, Martin Törngren, E. Fersman","doi":"10.1109/INDIN41052.2019.8972284","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972284","url":null,"abstract":"This paper addresses the problem of reducing the number of messages needed to exchange state updates between the Cyber-Physical System (CPS) components that integrate with the rest of the CPS through Digital Twins in order to maintain uniform communication interface and carry out their tasks correctly and safely. The main contribution is a proposed architecture and the discussion of its suitability to support correct execution of complex tasks across the CPS. A new State Event Filtering component is presented to provide event-based communication among Digital Twins that are based on the Linked Data principles while keeping the fan-out limited to ensure the scalability of the architecture.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115461283","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972259
G. Angione, C. Cristalli, J. Barbosa, P. Leitão
Multi-stage manufacturing, typical in important industrial sectors, is inherently a complex process. The application of the zero-defect manufacturing (ZDM) philosophy, together with recent technological advances in Cyber-Physical Systems (CPS), presents significant challenges and opportunities for the implementation of new system architectures that contributes for the continuous improvement of the production. This paper describes the experience gained in the GO0D MAN project which aims at realizing a fully functional, replicable and therefore widely exploitable solution, employing multi-agent systems, smart on-line inspection tools, data analytics and knowledge management technologies. In particular, the paper presents the challenges tackled during the deployment of the GO0D MAN system architecture in three relevant industrial use cases, which represent more than 80% of the manufacturing sector.
{"title":"Integration Challenges for the Deployment of a Multi-Stage Zero-Defect Manufacturing Architecture","authors":"G. Angione, C. Cristalli, J. Barbosa, P. Leitão","doi":"10.1109/INDIN41052.2019.8972259","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972259","url":null,"abstract":"Multi-stage manufacturing, typical in important industrial sectors, is inherently a complex process. The application of the zero-defect manufacturing (ZDM) philosophy, together with recent technological advances in Cyber-Physical Systems (CPS), presents significant challenges and opportunities for the implementation of new system architectures that contributes for the continuous improvement of the production. This paper describes the experience gained in the GO0D MAN project which aims at realizing a fully functional, replicable and therefore widely exploitable solution, employing multi-agent systems, smart on-line inspection tools, data analytics and knowledge management technologies. In particular, the paper presents the challenges tackled during the deployment of the GO0D MAN system architecture in three relevant industrial use cases, which represent more than 80% of the manufacturing sector.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027675","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972054
Zheng Ma, Magnus Værbak, Rune Rasmussen, B. Jørgensen
Security of energy supply and energy efficiency are challenges for many university campuses. Campus microgrid with distributed energy resources is considered as a solution for solving these challenges. However, the microgrid adoption for university campuses has to consider various factors due to the cost of DER installation and operation, campus activities and energy regulation etc. This paper investigates the possibility and feasibility of microgrid adoption for a university in Denmark, by analyzing the electricity and heat consumption patterns, the capacity of existing installed DERs, and the benefits and barriers for future installation of possible DER technologies. Based on this analysis the paper proposes three energy scenarios with different potential DER solutions, and provides simulations for investigating the energy balance and economic feasibility of each scenario.
{"title":"Distributed Energy Resource Adoption for Campus Microgrid","authors":"Zheng Ma, Magnus Værbak, Rune Rasmussen, B. Jørgensen","doi":"10.1109/INDIN41052.2019.8972054","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972054","url":null,"abstract":"Security of energy supply and energy efficiency are challenges for many university campuses. Campus microgrid with distributed energy resources is considered as a solution for solving these challenges. However, the microgrid adoption for university campuses has to consider various factors due to the cost of DER installation and operation, campus activities and energy regulation etc. This paper investigates the possibility and feasibility of microgrid adoption for a university in Denmark, by analyzing the electricity and heat consumption patterns, the capacity of existing installed DERs, and the benefits and barriers for future installation of possible DER technologies. Based on this analysis the paper proposes three energy scenarios with different potential DER solutions, and provides simulations for investigating the energy balance and economic feasibility of each scenario.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123717994","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972140
J. Mendonça, Marta Duarte, V. Coch, E. Estrada, Ricardo Rodrigues, S. Botelho
In the fertilizer industry, granulometric analysis is an important quality control of the product. Usually, this process is done mechanically, through sieving, which makes the process slow. As an alternative to this, a methodology based on digital image processing for fertilizer classification is proposed. This approach allows to measure feret’s diameter, area, volume and mass, important indicators to characterize fertilizers. The results obtained were validated with sieved samples and demonstrate the applicability of the method as a low cost alternative to the traditional method of granulometry of fertilizers.
{"title":"Granulometric Analysis of Fertilizers by Digital Image Processing","authors":"J. Mendonça, Marta Duarte, V. Coch, E. Estrada, Ricardo Rodrigues, S. Botelho","doi":"10.1109/INDIN41052.2019.8972140","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972140","url":null,"abstract":"In the fertilizer industry, granulometric analysis is an important quality control of the product. Usually, this process is done mechanically, through sieving, which makes the process slow. As an alternative to this, a methodology based on digital image processing for fertilizer classification is proposed. This approach allows to measure feret’s diameter, area, volume and mass, important indicators to characterize fertilizers. The results obtained were validated with sieved samples and demonstrate the applicability of the method as a low cost alternative to the traditional method of granulometry of fertilizers.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124926333","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972306
Qian Wang, H. Chen, Yonghui Li, Zhibo Pang, B. Vucetic
This paper considers an Industrial Internet of Thing (IIoT) system with a source monitoring a dynamic process with randomly generated status updates. The status updates are sent to an designated destination in a real-time manner over an unreliable link. The source is subject to a practical constraint of limited average transmission power. Thus, the system should carefully schedule when to transmit a fresh status update or retransmit the stale one. To characterize the performance of timely status update, we adopt a recent concept, Age of Information (AoI), as the performance metric. We aim to minimize the long-term average AoI under the limited average transmission power at the source, by formulating a constrained Markov Decision Process (CMDP) problem. To address the formulated CMDP, we recast it into an unconstrained Markov Decision Process (MDP) through Lagrangian relaxation. We prove the existence of optimal stationary policy of the original CMDP, which is a randomized mixture of two deterministic stationary policies of the unconstrained MDP. We also explore the characteristics of the problem to reduce the action space of each state to significantly reduce the computation complexity. We further prove the threshold structure of the optimal deterministic policy for the unconstrained MDP. Simulation results show the proposed optimal policy achieves lower average AoI compared with random policy, especially when the system suffers from stricter resource constraint. Besides, the influence of status generation probability and transmission failure rate on optimal policy and the resultant average AoI as well as the impact of average transmission power on the minimal average AoI are unveiled.
{"title":"Minimizing Age of Information for Real-Time Monitoring in Resource-Constrained Industrial IoT Networks","authors":"Qian Wang, H. Chen, Yonghui Li, Zhibo Pang, B. Vucetic","doi":"10.1109/INDIN41052.2019.8972306","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972306","url":null,"abstract":"This paper considers an Industrial Internet of Thing (IIoT) system with a source monitoring a dynamic process with randomly generated status updates. The status updates are sent to an designated destination in a real-time manner over an unreliable link. The source is subject to a practical constraint of limited average transmission power. Thus, the system should carefully schedule when to transmit a fresh status update or retransmit the stale one. To characterize the performance of timely status update, we adopt a recent concept, Age of Information (AoI), as the performance metric. We aim to minimize the long-term average AoI under the limited average transmission power at the source, by formulating a constrained Markov Decision Process (CMDP) problem. To address the formulated CMDP, we recast it into an unconstrained Markov Decision Process (MDP) through Lagrangian relaxation. We prove the existence of optimal stationary policy of the original CMDP, which is a randomized mixture of two deterministic stationary policies of the unconstrained MDP. We also explore the characteristics of the problem to reduce the action space of each state to significantly reduce the computation complexity. We further prove the threshold structure of the optimal deterministic policy for the unconstrained MDP. Simulation results show the proposed optimal policy achieves lower average AoI compared with random policy, especially when the system suffers from stricter resource constraint. Besides, the influence of status generation probability and transmission failure rate on optimal policy and the resultant average AoI as well as the impact of average transmission power on the minimal average AoI are unveiled.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122112875","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 : 2019-07-01DOI: 10.1109/INDIN41052.2019.8972114
Mohamed Khalil, C. Bergs, T. Papadopoulos, R. Wüchner, K. Bletzinger, M. Heizmann
Online condition monitoring services and predictive maintenance are becoming more and more a key for system operators to extend the system lifetime and detect faults in early stages. Therefore, system manufactures need to efficiently provide system operators so-called digital twins which can be executed during operation and give the system operator an impression of the health state of the system. Industrial Internet of Things (IIoT) platforms are enablers for such services and provide new possibilities to interact with the system running in the field. Furthermore, the traditional dashboard are becoming obsolete as user interface and are replaced by novel solutions that let the system operator experience the system health state. For example, health estimation and condition monitoring of electric motors is a topic of high interest nowadays. This article addresses an application which acquires machine data, processes it on an IIoT platform to get the system health and visualizes the results online in an augmented reality user interface.
{"title":"IIoT-based Fatigue Life Indication using Augmented Reality","authors":"Mohamed Khalil, C. Bergs, T. Papadopoulos, R. Wüchner, K. Bletzinger, M. Heizmann","doi":"10.1109/INDIN41052.2019.8972114","DOIUrl":"https://doi.org/10.1109/INDIN41052.2019.8972114","url":null,"abstract":"Online condition monitoring services and predictive maintenance are becoming more and more a key for system operators to extend the system lifetime and detect faults in early stages. Therefore, system manufactures need to efficiently provide system operators so-called digital twins which can be executed during operation and give the system operator an impression of the health state of the system. Industrial Internet of Things (IIoT) platforms are enablers for such services and provide new possibilities to interact with the system running in the field. Furthermore, the traditional dashboard are becoming obsolete as user interface and are replaced by novel solutions that let the system operator experience the system health state. For example, health estimation and condition monitoring of electric motors is a topic of high interest nowadays. This article addresses an application which acquires machine data, processes it on an IIoT platform to get the system health and visualizes the results online in an augmented reality user interface.","PeriodicalId":260220,"journal":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679372","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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