Pub Date : 2017-07-01DOI: 10.1109/INDIN.2017.8104840
Markus Brandmeier, C. Neubert, M. Brossog, J. Franke
The work of research institutes in the field o! engineering is characterized by a work-sharing fulfillment o! knowledge-intensive tasks. For the success of these institutes, it is of great importance that this knowledge is properly networked. In order to improve this and to develop the competences of institutes a competence management system is created that comprehends all competences available, makes them plausible, facilitates competence retrieval and supports a competence exchange. In this paper we propose an approach for capturing, structuring and visualizing competences. This approach can be used for both research facilities and companies in general. Moreover, we show how the competence data is integrated into an ontology-based competence management system. This also includes the connection between the ontology in the backend and the graphical user interface, being created in SharePoint.
{"title":"Development of an ontology-based competence management system","authors":"Markus Brandmeier, C. Neubert, M. Brossog, J. Franke","doi":"10.1109/INDIN.2017.8104840","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104840","url":null,"abstract":"The work of research institutes in the field o! engineering is characterized by a work-sharing fulfillment o! knowledge-intensive tasks. For the success of these institutes, it is of great importance that this knowledge is properly networked. In order to improve this and to develop the competences of institutes a competence management system is created that comprehends all competences available, makes them plausible, facilitates competence retrieval and supports a competence exchange. In this paper we propose an approach for capturing, structuring and visualizing competences. This approach can be used for both research facilities and companies in general. Moreover, we show how the competence data is integrated into an ontology-based competence management system. This also includes the connection between the ontology in the backend and the graphical user interface, being created in SharePoint.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"156 1","pages":"601-608"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84497383","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104950
Meng Liu, J. Niu, Xin Wang
An autopilot system includes several modules, and the software architecture has a variety of programs. As we all know, it is necessary that there exists one brand with a compatible sensor system till now, owing to complexity and variety of sensors before. In this paper, we apply (Robot Operating System) ROS-based distributed architecture. Deep learning methods also adopted by perception modules. Experimental results demonstrate that the system can reduce the dependence on the hardware effectively, and the sensor involved is convenient to achieve well the expected functionalities. The system adapts well to some specific driving scenes, relatively fixed and simple driving environment, such as the inner factories, bus lines, parks, highways, etc. This paper presents the case study of autopilot system based on ROS and deep learning, especially convolution neural network (CNN), from the perspective of system implementation. And we also introduce the algorithm and realization process including the core module of perception, decision, control and system management emphatically.
{"title":"An autopilot system based on ROS distributed architecture and deep learning","authors":"Meng Liu, J. Niu, Xin Wang","doi":"10.1109/INDIN.2017.8104950","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104950","url":null,"abstract":"An autopilot system includes several modules, and the software architecture has a variety of programs. As we all know, it is necessary that there exists one brand with a compatible sensor system till now, owing to complexity and variety of sensors before. In this paper, we apply (Robot Operating System) ROS-based distributed architecture. Deep learning methods also adopted by perception modules. Experimental results demonstrate that the system can reduce the dependence on the hardware effectively, and the sensor involved is convenient to achieve well the expected functionalities. The system adapts well to some specific driving scenes, relatively fixed and simple driving environment, such as the inner factories, bus lines, parks, highways, etc. This paper presents the case study of autopilot system based on ROS and deep learning, especially convolution neural network (CNN), from the perspective of system implementation. And we also introduce the algorithm and realization process including the core module of perception, decision, control and system management emphatically.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"1229-1234"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81804451","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104785
Frieder Loch, B. Vogel‐Heuser
This paper presents a virtual training system for machine operation that is addressing the aging workforce. Targeting the needs and capabilities of aging employees is inevitable to address the ongoing demographic change and remain competitive. The proposed system is composed of a virtual representation of a machine and a control panel on a separate tablet computer. The paper describes the didactic approach, the interaction modalities, and how the system can be adapted to the capabilities of its users. A sample scenario describes the application of the concept in a prototype.
{"title":"A virtual training system for aging employees in machine operation","authors":"Frieder Loch, B. Vogel‐Heuser","doi":"10.1109/INDIN.2017.8104785","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104785","url":null,"abstract":"This paper presents a virtual training system for machine operation that is addressing the aging workforce. Targeting the needs and capabilities of aging employees is inevitable to address the ongoing demographic change and remain competitive. The proposed system is composed of a virtual representation of a machine and a control panel on a separate tablet computer. The paper describes the didactic approach, the interaction modalities, and how the system can be adapted to the capabilities of its users. A sample scenario describes the application of the concept in a prototype.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"1 1","pages":"279-284"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83041114","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}
Accurate anomaly diagnosis is essential for reducing operation and maintenance (O&M) cost, while improving safety and reliability of large-scale photovoltaic (PV) systems. Although many methods have been proposed, they either require extra sensing devices or suffer from high false alarm rates. In this work, we present a cost-effective hierarchical context-aware method for string-level anomaly diagnosis in large-scale PV systems. The proposed approach is based on unsupervised machine learning techniques and requires no additional hardware support beyond widely adopted supervisory control and data acquisition (SCADA) systems. The effectiveness and efficiency of our proposed approach are evaluated with a 40 MW PV system located in East China. The experimental results demonstrate that the proposed approach can support string-level anomaly diagnosis with high accuracy and provide sufficient lead time for daily maintenance.
{"title":"Hierarchical context-aware anomaly diagnosis in large-scale PV systems using SCADA data","authors":"Qi Liu, Yingying Zhao, Yawen Zhang, Dahai Kang, Q. Lv, L. Shang","doi":"10.1109/INDIN.2017.8104914","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104914","url":null,"abstract":"Accurate anomaly diagnosis is essential for reducing operation and maintenance (O&M) cost, while improving safety and reliability of large-scale photovoltaic (PV) systems. Although many methods have been proposed, they either require extra sensing devices or suffer from high false alarm rates. In this work, we present a cost-effective hierarchical context-aware method for string-level anomaly diagnosis in large-scale PV systems. The proposed approach is based on unsupervised machine learning techniques and requires no additional hardware support beyond widely adopted supervisory control and data acquisition (SCADA) systems. The effectiveness and efficiency of our proposed approach are evaluated with a 40 MW PV system located in East China. The experimental results demonstrate that the proposed approach can support string-level anomaly diagnosis with high accuracy and provide sufficient lead time for daily maintenance.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"1025-1030"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82500033","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104783
Florian Pethig, O. Niggemann, A. Walter
One of the many opportunities Industrie 4.0 (I4.0) offers, is to reduce (re-)configuration effort. Today, a variety of vendor-specific information models prevents an efficient configuration of Condition Monitoring (CM) for adaptable Cyber-Physical Production Systems (CPPS). The manual configuration of signals that should be monitored is a tedious and error-prone task. Standardization efforts for I4.0 focus on a generic interface called Asset Administration Shell (AAS), which could increase configuration efficiency. The AAS should represent information, e.g. about components, machines, and plants, based on properties standardized according to IEC 61360. Although frequently used in planning and procurement, benefits of properties for the integration of CPPS have not yet been demonstrated. Additionally, important details for the implementation of the AAS, e.g. its deployment and technical requirements, have not yet been specified. In this paper, an information model for condition monitoring of a servo motor is defined based on IEC 61360 properties. This information model is included in an AAS that is implemented on the Programmable Logic Controller (PLC) of a work cell from the company Lenze. The PLC communicates with a condition monitoring service via OPC Unified Architecture (OPC UA). Using IEC 61360 properties the type of a servo synchronous motor can be identified and thresholds for this motor can be configured without manual configuration effort. Nevertheless, in order to implement the AAS in an I4.0 compliant way, IT-Security and Message-based I4.0 communication have to be supported by the PLC. The effort for the (re-)configuration of condition monitoring services can be reduced based on IEC 61360 properties. The approach introduced in this work could help to achieve the main goals of I4.0: To improve the flexibility and efficiency of adaptable CPPS. Nevertheless, more properties and information models have to be standardized in the future.
{"title":"Towards Industrie 4.0 compliant configuration of condition monitoring services","authors":"Florian Pethig, O. Niggemann, A. Walter","doi":"10.1109/INDIN.2017.8104783","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104783","url":null,"abstract":"One of the many opportunities Industrie 4.0 (I4.0) offers, is to reduce (re-)configuration effort. Today, a variety of vendor-specific information models prevents an efficient configuration of Condition Monitoring (CM) for adaptable Cyber-Physical Production Systems (CPPS). The manual configuration of signals that should be monitored is a tedious and error-prone task. Standardization efforts for I4.0 focus on a generic interface called Asset Administration Shell (AAS), which could increase configuration efficiency. The AAS should represent information, e.g. about components, machines, and plants, based on properties standardized according to IEC 61360. Although frequently used in planning and procurement, benefits of properties for the integration of CPPS have not yet been demonstrated. Additionally, important details for the implementation of the AAS, e.g. its deployment and technical requirements, have not yet been specified. In this paper, an information model for condition monitoring of a servo motor is defined based on IEC 61360 properties. This information model is included in an AAS that is implemented on the Programmable Logic Controller (PLC) of a work cell from the company Lenze. The PLC communicates with a condition monitoring service via OPC Unified Architecture (OPC UA). Using IEC 61360 properties the type of a servo synchronous motor can be identified and thresholds for this motor can be configured without manual configuration effort. Nevertheless, in order to implement the AAS in an I4.0 compliant way, IT-Security and Message-based I4.0 communication have to be supported by the PLC. The effort for the (re-)configuration of condition monitoring services can be reduced based on IEC 61360 properties. The approach introduced in this work could help to achieve the main goals of I4.0: To improve the flexibility and efficiency of adaptable CPPS. Nevertheless, more properties and information models have to be standardized in the future.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"197 1","pages":"271-276"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82806182","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104793
S. V. Krivosheev, R. Oleynik, I. Borisov, S. Reznikov
The results of the work on the creation of a hand rehabilitation complex with given mass-size characteristics and various training regimes are presented. A brief description of the three versions of the mechanical part of the rehabilitation device is given. A simplified device control scheme is presented, a brief description of the training modes is given, additional modules that expand the functional are described. Brief conclusions on the work were done, as well as the prospects for the development of the project were outlined.
{"title":"Development of the design and description of the control system of the hand rehabilitation device","authors":"S. V. Krivosheev, R. Oleynik, I. Borisov, S. Reznikov","doi":"10.1109/INDIN.2017.8104793","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104793","url":null,"abstract":"The results of the work on the creation of a hand rehabilitation complex with given mass-size characteristics and various training regimes are presented. A brief description of the three versions of the mechanical part of the rehabilitation device is given. A simplified device control scheme is presented, a brief description of the training modes is given, additional modules that expand the functional are described. Brief conclusions on the work were done, as well as the prospects for the development of the project were outlined.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"17 1","pages":"326-330"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86764249","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104808
A. Veichtlbauer, Martin Ortmayer, T. Heistracher
In industrial automation systems, deploying the well-established automation pyramid model is best practice. However, the trend to massively distributed systems, which are foreseen to co-operate using standardized protocols and common semantics, shows the limits of these traditional approaches. In order to enable for Industry 4.0 compliant solutions, appropriate means for scalable internetworking have to be developed and utilized. New modelling technologies have been developed to represent such distributed automation systems, incorporating a multidimensional layered approach. At higher hierarchy levels of these automation models, standardization approaches are quite common. However, at the field layer there are still many different field busses, which in most cases do not allow common semantics, but come along with their own object models. In contrast, the use of OPC UA at the field level, with its standardized protocol stack and semantic annotations, would allow for enabling field devives to fully participate in large scaled systems as Industry 4.0 components. This paper evaluates the potentials and limits of integrating OPC UA into legacy field devices with limited communication and calculation resources and provides quantitative measurement results of selected test scenarios.
{"title":"OPC UA integration for field devices","authors":"A. Veichtlbauer, Martin Ortmayer, T. Heistracher","doi":"10.1109/INDIN.2017.8104808","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104808","url":null,"abstract":"In industrial automation systems, deploying the well-established automation pyramid model is best practice. However, the trend to massively distributed systems, which are foreseen to co-operate using standardized protocols and common semantics, shows the limits of these traditional approaches. In order to enable for Industry 4.0 compliant solutions, appropriate means for scalable internetworking have to be developed and utilized. New modelling technologies have been developed to represent such distributed automation systems, incorporating a multidimensional layered approach. At higher hierarchy levels of these automation models, standardization approaches are quite common. However, at the field layer there are still many different field busses, which in most cases do not allow common semantics, but come along with their own object models. In contrast, the use of OPC UA at the field level, with its standardized protocol stack and semantic annotations, would allow for enabling field devives to fully participate in large scaled systems as Industry 4.0 components. This paper evaluates the potentials and limits of integrating OPC UA into legacy field devices with limited communication and calculation resources and provides quantitative measurement results of selected test scenarios.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"89 1","pages":"419-424"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89057066","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104864
Chen-Wei Yang, V. Vyatkin
This paper proposes a novel method of modelling requirements for smart grid automation systems that fits and complements the leading standards used for software development in smart grid: IEC 61850 and IEC 61499. Ontological representation is used to formally model the systems requirements and the integration of the requirement modelling to be used in conjunction with IEC 61850 specifications and IEC 61499 implementation. The proposed model is illustrated on a case study presented by the CIGRE working group where the system requirement in natural language was firstly modelled in ontology, then implemented in IEC 61499. Lastly, the resulting IEC 61499 control system was tested and validated against the system requirement by signal testing of the end control system.
{"title":"On requirements-driven design of distributed smart grid automation control","authors":"Chen-Wei Yang, V. Vyatkin","doi":"10.1109/INDIN.2017.8104864","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104864","url":null,"abstract":"This paper proposes a novel method of modelling requirements for smart grid automation systems that fits and complements the leading standards used for software development in smart grid: IEC 61850 and IEC 61499. Ontological representation is used to formally model the systems requirements and the integration of the requirement modelling to be used in conjunction with IEC 61850 specifications and IEC 61499 implementation. The proposed model is illustrated on a case study presented by the CIGRE working group where the system requirement in natural language was firstly modelled in ontology, then implemented in IEC 61499. Lastly, the resulting IEC 61499 control system was tested and validated against the system requirement by signal testing of the end control system.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"21 1","pages":"738-745"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85927381","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104853
Xiaoxu Liu, Zhiwei Gao, A. Zhang, Yanling Li
To achieve reliable operation of wind energy conversion technology, this ρ aper develops a robust observer-based fault tolerant control technique for wind turbine drive train systems in presence of simultaneous unknown inputs, faults and Brownian perturbations. Integration of several advanced techniques, namely, augmented approach, unknown input observer method, and linear matrix inequaity, is employed to estimate the means of the system states and the considered faults robustly. Based on the estimates, robust fault tolerant control strategy is implemented to drive the system trajectory convergent and eliminate the effects of faults from both actuators and sensors successfully. The control gains are selected to guarantee the convergence of the means of system states and com pens ate for the de grad ation caused by concerned faults. The ob server gain is determined via a linear matrix inequality optimization such that the closed-loop system is stochastically input-to-state stable satisfying required robust performance. The desi gned observer-based fault tolerant control c an make the over all system work in a steady condition and the system outputs c an be compensated to successfully track the healthy outputs in fault-free c ases. Finally, the proposed fault estimation-based fault tolerant control method is applied to a drive train system of the 4.8 MW benchmark wind wind turbine to validate the effectiveness.
{"title":"Robust fault tolerant control for drive train in wind turbine systems with stochastic perturbations","authors":"Xiaoxu Liu, Zhiwei Gao, A. Zhang, Yanling Li","doi":"10.1109/INDIN.2017.8104853","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104853","url":null,"abstract":"To achieve reliable operation of wind energy conversion technology, this ρ aper develops a robust observer-based fault tolerant control technique for wind turbine drive train systems in presence of simultaneous unknown inputs, faults and Brownian perturbations. Integration of several advanced techniques, namely, augmented approach, unknown input observer method, and linear matrix inequaity, is employed to estimate the means of the system states and the considered faults robustly. Based on the estimates, robust fault tolerant control strategy is implemented to drive the system trajectory convergent and eliminate the effects of faults from both actuators and sensors successfully. The control gains are selected to guarantee the convergence of the means of system states and com pens ate for the de grad ation caused by concerned faults. The ob server gain is determined via a linear matrix inequality optimization such that the closed-loop system is stochastically input-to-state stable satisfying required robust performance. The desi gned observer-based fault tolerant control c an make the over all system work in a steady condition and the system outputs c an be compensated to successfully track the healthy outputs in fault-free c ases. Finally, the proposed fault estimation-based fault tolerant control method is applied to a drive train system of the 4.8 MW benchmark wind wind turbine to validate the effectiveness.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"11 1","pages":"677-680"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78907276","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 : 2017-07-01DOI: 10.1109/INDIN.2017.8104889
Ani Bicaku, Silia Maksuti, Silke Palkovits-Rauter, Markus Tauber, R. Matischek, Christoph Schmittner, G. Mantas, M. Thron, J. Delsing
Industry 4.0 considers integration of IT and control systems with physical objects, software, sensors and connectivity in order to optimize manufacturing processes. It provides advanced functionalities in control and communication for an infrastructure that handles multiple tasks in various locations automatically. Automatic actions require information from trustworthy sources. Thus, this work is focused on how to ensure trustworthy communication from the edge devices to the backend infrastructure. We derive a meta-model based on RAMI 4.0, which is used to describe an end-to-end communication use case for an Industry 4.0 application scenario and to identify dependabilities in case of security challenges. Furthermore, we evaluate secure messaging protocols and the integration of Trusted Platform Module (TPM) as a root of trust for dataexchange. We define a set of representative measurable indicator points based on existing standards and use them for automated dependability detection within the whole system.
{"title":"Towards trustworthy end-to-end communication in industry 4.0","authors":"Ani Bicaku, Silia Maksuti, Silke Palkovits-Rauter, Markus Tauber, R. Matischek, Christoph Schmittner, G. Mantas, M. Thron, J. Delsing","doi":"10.1109/INDIN.2017.8104889","DOIUrl":"https://doi.org/10.1109/INDIN.2017.8104889","url":null,"abstract":"Industry 4.0 considers integration of IT and control systems with physical objects, software, sensors and connectivity in order to optimize manufacturing processes. It provides advanced functionalities in control and communication for an infrastructure that handles multiple tasks in various locations automatically. Automatic actions require information from trustworthy sources. Thus, this work is focused on how to ensure trustworthy communication from the edge devices to the backend infrastructure. We derive a meta-model based on RAMI 4.0, which is used to describe an end-to-end communication use case for an Industry 4.0 application scenario and to identify dependabilities in case of security challenges. Furthermore, we evaluate secure messaging protocols and the integration of Trusted Platform Module (TPM) as a root of trust for dataexchange. We define a set of representative measurable indicator points based on existing standards and use them for automated dependability detection within the whole system.","PeriodicalId":6595,"journal":{"name":"2017 IEEE 15th International Conference on Industrial Informatics (INDIN)","volume":"36 1","pages":"889-896"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77516209","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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