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Yli-Ojanperä, M., Sierla, S., Papakonstantinou, N. & Vyatkin, V. (2019). Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study. Journal of Industrial Information Integration
Open this publication in new window or tab >>Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study
2019 (English)In: Journal of Industrial Information Integration, ISSN 2452-414XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Industry 4.0 architecture has been studied in a large number of publications in the fields of Industrial Internet of Things, Cyber Physical Production Systems, Enterprise Architectures, Enterprise Integration and Cloud Manufacturing. A large number of architectures have been proposed, but none of them has been adopted by a large number of research groups. Two major Industry 4.0 reference architectures have been developed by industry-driven initiatives, namely the German Industry 4.0 and the US-led Industrial Internet Consortium. These are the Reference Architecture Model Industry 4.0 and Industrial Internet Reference Architecture, which are being standardized by the International Electrotechnical Commission and the Object Management Group, respectively. The first research goal of this article is to survey the literature on Industry 4.0 architectures in a factory context and assess awareness and compatibility with Reference Architecture Model Industry 4.0 and Industrial Internet Reference Architecture. The second research goal is to adapt a previously proposed advanced manufacturing concept to Reference Architecture Model Industry 4.0. With respect to the first research goal, it was discovered that only a minority of researchers were aware of the said reference architectures and that in general authors offered no discussion about the compatibility of their proposals with any internationally standardized reference architecture for Industry 4.0. With respect to the second research goal, it was discovered that Reference Architecture Model Industry 4.0 was mature with respect to communication and information sharing in the scope of the connected world, that further standardization enabling interoperability of different vendors’ technology is still under development and that technology standardization enabling executable business processes between networked enterprises was lacking.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Industry 4.0, RAMI 4.0, Reference architecture, OPC UA, Industrial Internet of Things, Cyber-physical production systems
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-72490 (URN)10.1016/j.jii.2018.12.002 (DOI)
Available from: 2019-01-08 Created: 2019-01-08 Last updated: 2019-01-08
Rantala, M., Niemistö, H., Karhela, T., Sierla, S. & Vyatkin, V. (2019). Applying graph matching techniques to enhance reuse of plant design information. Computers in industry (Print), 107, 81-98
Open this publication in new window or tab >>Applying graph matching techniques to enhance reuse of plant design information
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2019 (English)In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 107, p. 81-98Article in journal (Refereed) Published
Abstract [en]

This article investigates how graph matching can be applied to process plant design data in order to support the reuse of previous designs. A literature review of existing graph matching algorithms is performed, and a group of algorithms is chosen for further testing. A use case from early phase plant design is presented. A methodology for addressing the use case is proposed, including graph simplification algorithms and node similarity measures, so that existing graph matching algorithms can be applied in the process plant domain. The proposed methodology is evaluated empirically on an industrial case consisting of design data from several pulp and paper plants. 

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Design reuse; Engineering design; Inexact graph matching; Node similarity; Process plant; Pulp and paper
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-72928 (URN)10.1016/j.compind.2019.01.005 (DOI)2-s2.0-85061207989 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-02-18 (svasva)

Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2019-02-18Bibliographically approved
Giovanelli, C., Kikki, O., Sierla, S. A., Seilonen, I. & Vyatkin, V. (2019). Task Allocation Algorithm for Energy Resources Providing Frequency Containment Reserves. IEEE Transactions on Industrial Informatics, 15(2), 677-688
Open this publication in new window or tab >>Task Allocation Algorithm for Energy Resources Providing Frequency Containment Reserves
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2019 (English)In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 15, no 2, p. 677-688Article in journal (Refereed) Published
Abstract [en]

The uncertainty caused by the variability in renewable energy production requires the engagement of consumer-side energy production and consumption to provide sufficient flexibility and reliability for the power grid. This study presents an algorithm for allocating tasks to distributed energy resources allowing consumers to provide flexibility for frequency containment reserves. The task allocation algorithm aims at supporting the plug and play of energy resources, and it avoids the need for hard real-time messages during the coordination of the resources. The algorithm combines a novel control strategy with an information and communication technology architecture. The main decision logic of the algorithm is defined together with the distributed control logic. A prototype implementation of the overall system for frequency control is used to evaluate the performance of the algorithm. The simulation results show that the algorithm achieves the specified objectives, and has advantages compared to the state of the art solution.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Automated demand response (ADR), distributed information and communication technology (ICT) architecture, frequency containment reserve (FCR), frequency control, smart grid, task allocation
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-69561 (URN)10.1109/TII.2018.2821676 (DOI)000458199000006 ()2-s2.0-85044756368 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-03-08 (johcin)

Available from: 2018-06-15 Created: 2018-06-15 Last updated: 2019-03-08Bibliographically approved
Vyatkin, V. (2018). A case study on knowledge driven code generation for software-defined industrial cyber-physical systems. In: IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society. Paper presented at 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 21-23 2018, Washington D.C., USA..
Open this publication in new window or tab >>A case study on knowledge driven code generation for software-defined industrial cyber-physical systems
2018 (English)In: IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society, 2018Conference paper, Published paper (Refereed)
Identifiers
urn:nbn:se:ltu:diva-73028 (URN)10.1109/IECON.2018.8591171 (DOI)2-s2.0-85061546077 (Scopus ID)
Conference
44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 21-23 2018, Washington D.C., USA.
Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2019-02-26
Zhabelova, G., Vesterlund, M., Eschmann, S., Berezovskaya, Y., Vyatkin, V. & Flieller, D. (2018). A Comprehensive Model of Data Center: from CPU to Cooling Tower. IEEE Access, 6, 2169-3536
Open this publication in new window or tab >>A Comprehensive Model of Data Center: from CPU to Cooling Tower
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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 2169-3536Article in journal (Refereed) Published
Abstract [en]

Aiming at addressing environmental challenges, large data centers such as Facebook, Google, Yahoo, etc., are increasing share of green power in their daily energy consumption. Such trends drive research into new directions, e.g. sustainable data centers. The research often relies on expressive models that provides sufficient details however practical to re-use and expand. There is a lack of available data center models that capture internal operating states of the facility from the CPU to the cooling tower. It is a challenge to develop a model that allows to describe complete data center of any scale including its connection to the grid. This paper proposes such a model building on existing work. The challenge was to put the pieces of data center together and model behavior of each element so that interdependencies between components and parameters and operating states are captured correctly and in sufficient details. The proposed model was used in the project “Data center microgrid integration” and proven to be adequate and important to support such study.

Place, publisher, year, edition, pages
IEEE, 2018
Keywords
data center, model, cooling, server, CRAH, chiller, cooling tower, smart grid, microgrid
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-71267 (URN)10.1109/ACCESS.2018.2875623 (DOI)000450260200001 ()2-s2.0-85054609232 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-11-12 (johcin) 

Available from: 2018-10-18 Created: 2018-10-18 Last updated: 2018-12-03Bibliographically approved
Vyatkin, V. (2018). A flow-based heuristic algorithm for network operations planning in smart grids. In: IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society. Paper presented at 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 21-23 2018, Washington D.C., USA..
Open this publication in new window or tab >>A flow-based heuristic algorithm for network operations planning in smart grids
2018 (English)In: IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society, 2018Conference paper, Published paper (Refereed)
Identifiers
urn:nbn:se:ltu:diva-73026 (URN)10.1109/IECON.2018.8591438 (DOI)2-s2.0-85061530131 (Scopus ID)
Conference
44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 21-23 2018, Washington D.C., USA.
Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2019-02-26
Ovsiannikova, P., Chivilikhin, D., Ulyantsev, V., Stankevich, A., Zakirzyanov, I., Vyatkin, V. & Shalyto, A. (2018). Active Learning of Formal Plant Models for Cyber-Physical Systems. In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN): . Paper presented at 16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, 18-20 July 2018 (pp. 719-724). Piscataway, NJ: IEEE, Article ID 8471924.
Open this publication in new window or tab >>Active Learning of Formal Plant Models for Cyber-Physical Systems
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2018 (English)In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), Piscataway, NJ: IEEE, 2018, p. 719-724, article id 8471924Conference paper, Published paper (Refereed)
Abstract [en]

As the world becomes more and more automated, the degree of cyber-physical systems involvement cannot be overestimated. A large part of them are safety-critical, thus, it is especially important to ensure their correctness before start of operation or reconfiguration. For this purpose the model checking approach should be used since it allows rigorously proving system correctness by checking all possible states. To ensure the compliance of controller-plant properties with system requirements, the closed-loop verification approach should be chosen, which requires not only a formal model of the controller, but also a formal model of the plant. In this paper we propose an approach for constructing formal models of context-free deterministic plants automatically using active learning algorithms. The case study shows its successful application to plant model generation for the elevator cyber-physical system.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2018
Series
IEEE International Conference on Industrial Informatics INDIN, ISSN 1935-4576
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-72062 (URN)10.1109/INDIN.2018.8471924 (DOI)000450180200105 ()2-s2.0-85055546023 (Scopus ID)978-1-5386-4829-2 (ISBN)
Conference
16th IEEE International Conference on Industrial Informatics, INDIN 2018, Porto, Portugal, 18-20 July 2018
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2019-01-14Bibliographically approved
Patil, S., Drozdov, D. & Vyatkin, V. (2018). Adapting Software Design Patterns To Develop Reusable IEC 61499 Function Block Applications. In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN): . Paper presented at 2018 IEEE 16th International Conference on Industrial Informatics (INDIN);18-20 July 2018;Porto;Portugal (pp. 725-732). IEEE
Open this publication in new window or tab >>Adapting Software Design Patterns To Develop Reusable IEC 61499 Function Block Applications
2018 (English)In: 2018 IEEE 16th International Conference on Industrial Informatics (INDIN), IEEE, 2018, p. 725-732Conference paper, Published paper (Refereed)
Abstract [en]

Design patterns in software engineering is a generic solution provided for repeatable problems occurring frequently in a software design. They are used a lot in the field of software engineering, especially for object-oriented software development. Different standards exist for design and development of industrial cyber-physical systems and the IEC 61499 standard is one of them. The standard presents a reference component architecture for design and development of distributed industrial cyber-physical systems. There is a lack of design patterns for application development with IEC 61499 standard and this paper address this by proposing some patterns. The design patterns presented are inspired by popular design patterns used in software engineering.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-71482 (URN)10.1109/INDIN.2018.8472071 (DOI)000450180200106 ()2-s2.0-85050108283 (Scopus ID)978-1-5386-4829-2 (ISBN)
Conference
2018 IEEE 16th International Conference on Industrial Informatics (INDIN);18-20 July 2018;Porto;Portugal
Available from: 2018-11-07 Created: 2018-11-07 Last updated: 2018-12-03Bibliographically approved
Sierla, S. A., Kyrki, V., Aarnio, P. & Vyatkin, V. (2018). Automatic assembly planning based on digital product descriptions. Computers in industry (Print), 97, 34-46
Open this publication in new window or tab >>Automatic assembly planning based on digital product descriptions
2018 (English)In: Computers in industry (Print), ISSN 0166-3615, E-ISSN 1872-6194, Vol. 97, p. 34-46Article in journal (Refereed) Published
Abstract [en]

This paper proposes a new concept in which a digital twin derived from a digital product description will automatically perform assembly planning and orchestrate the production resources in a manufacturing cell. Thus the manufacturing cell has generic services with minimal assumptions about what kind of product will be assembled, while the digital product description is designed collaboratively between the designer at an OEM and automated services at potential manufacturers. This has several advantages. Firstly, the resulting versatile manufacturing facility can handle a broad variety of products with minimal or no reconfiguration effort, so it can cost-effectively offer its services to a large number of OEMs. Secondly, a solution is presented to the problem of performing concurrent product design and assembly planning over the organizational boundary. Thirdly, the product design at the OEM is not constrained to the capabilities of specific manufacturing facilities. The concept is presented in general terms in UML and an implementation is provided in a 3D simulation environment using Automation Markup Language for digital product descriptions. Finally, two case studies are presented and applications in a real industrial context are discussed

Place, publisher, year, edition, pages
Elsevier, 2018
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-67684 (URN)10.1016/j.compind.2018.01.013 (DOI)000432504700005 ()2-s2.0-85041407539 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-02-19 (andbra)

Available from: 2018-02-19 Created: 2018-02-19 Last updated: 2018-09-13Bibliographically approved
Santillán Martínez, G., Sierla, S., Karhela, T., Lappalainen, J. & Vyatkin, V. (2018). Automatic Generation of a High-Fidelity Dynamic Thermal-hydraulic Process Simulation Model from a 3D Plant Model. IEEE Access, 6, 45217-45232, Article ID 434288.
Open this publication in new window or tab >>Automatic Generation of a High-Fidelity Dynamic Thermal-hydraulic Process Simulation Model from a 3D Plant Model
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2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 45217-45232, article id 434288Article in journal (Refereed) Published
Abstract [en]

Dynamic thermal-hydraulic simulation models have been extensively used by process industry for decision support in sectors such as power generation, mineral processing, pulp and paper, and oil and gas. Ever-growing competitiveness in the process industry forces experts to rely even more on dynamic simulation results to take decisions across the process plant lifecycle. However, time-consuming development of simulation models increases model generation costs, limiting their use in a wider number of applications. Detailed 3D plant models, developed during early plant engineering for process design, could potentially be used as a source of information to enable rapid development of high-fidelity simulation models. This paper presents a method for automatic generation of a thermal-hydraulic process simulation model from a 3D plant model. Process structure, dimensioning and component connection information included in the 3D plant model is extracted from the machine-readable export of the 3D design tool and used to automatically generate and configure a dynamic thermal-hydraulic simulation model. In particular, information about the piping dimensions and elevations is retrieved from the 3D plant model and used to calculate head loss coefficients of the pipelines and to configure the piping network model. This step, not considered in previous studies, is crucial for obtaining high-fidelity industrial process models. The proposed method is tested using a laboratory process and the results of the automatically generated model are compared with experimental data from the physical system as well as with a simulation model developed using design data utilized by existing methods on the state-of-the-art. Results show that the proposed method is able to generate high-fidelity models which are able to accurately predict the targeted system, even during operational transients.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
3D CAD model; 3D plant model; automatic model generation; first-principles model; process modelling; process simulation; thermal-hydraulic model
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-70581 (URN)10.1109/ACCESS.2018.2865206 (DOI)000445267000001 ()2-s2.0-85051677896 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-10-10 (svasva)

Available from: 2018-08-24 Created: 2018-08-24 Last updated: 2018-10-10Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9315-9920

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