Towards an Asset Administration Shell scenario: a use case for interoperability and standardization in Industry 4.0

Inigo, Miguel A.; Porto, Alain; Kremer, Blanca; Pérez, Alain; Larrinaga, Félix; Cuenca, Javier

doi:10.1109/noms47738.2020.9110410

Cited by 23 publications

(13 citation statements)

References 8 publications

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“…It is known that I4.0 characterizes a digital transformation process. For this process to occur, the assets need to be digitized; their data must be taken to the virtual world [36,37]. To perform this mapping to ensure interoperability between systems and components [37] in IMS, the AAS was created.…”

Section: Asset Administration Shellmentioning

confidence: 99%

SQL and NoSQL Databases in the Context of Industry 4.0

2021

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The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that big data and analytics is considered a technological pillar of this process. The goal of I4.0 is the implementation of the so-called Smart Factory, characterized by Intelligent Manufacturing Systems (IMS) that overcome traditional manufacturing systems in terms of efficiency, flexibility, level of integration, digitalization, and intelligence. The literature reports a series of system architecture proposals for IMS, which are primarily data driven. Many of these proposals treat data storage solutions as mere entities that support the architecture’s functionalities. However, choosing which logical data model to use can significantly affect the performance of the IMS. This work identifies the advantages and disadvantages of relational (SQL) and non-relational (NoSQL) data models for I4.0, considering the nature of the data in this process. The characterization of data in the context of I4.0 is based on the five dimensions of big data and a standardized format for representing information of assets in the virtual world, the Asset Administration Shell. This work allows identifying appropriate transactional properties and logical data models according to the volume, variety, velocity, veracity, and value of the data. In this way, it is possible to describe the suitability of relational and NoSQL databases for different scenarios within I4.0.

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Section: Asset Administration Shellmentioning

confidence: 99%

SQL and NoSQL Databases in the Context of Industry 4.0

2021

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“…An AAS represents—virtually, digitally, and actively—an I4.0 component in the I4.0 system. Any production component in the I4.0 environment has to have an administrative shell [ 34 , 35 , 36 , 37 , 38 ].…”

Section: Asset Administration Shellmentioning

confidence: 99%

Automated Design and Integration of Asset Administration Shells in Components of Industry 4.0

Arm

Benešl

Marcoň

et al. 2021

Sensors

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One of the central concepts in the principles of Industry 4.0 relates to the methodology for designing and implementing the digital shell of the manufacturing process components. This concept, the Asset Administration Shell (AAS), embodies a systematically formed, standardized data envelope of a concrete component within Industry 4.0. The paper discusses the AAS in terms of its structure, its components, the sub-models that form a substantial part of the shell’s content, and its communication protocols (Open Platform Communication—Unified Architecture (OPC UA) and MQTT) or SW interfaces enabling vertical and horizontal communication to involve other components and levels of management systems. Using a case study of a virtual assembly line that integrates AASs into the technological process, the authors present a comprehensive analysis centered on forming AASs for individual components. In the given context, the manual AAS creation mode exploiting framework-based automated generation, which forms the AAS via a configuration wizard, is assessed. Another outcome consists of the activation of a virtual assembly line connected to real AASs, a step that allows us verify the properties of the distributed manufacturing management. Moreover, a discrete event system was modeled for the case study, enabling the effective application of the Industry 4.0 solution.

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“…It is known that I4.0 characterizes a digital transformation process. For this process to occur, the assets need to be digitized; that is, their data must be taken to the virtual world [32,33]. To perform this mapping in a way that ensures interoperability between systems and components [33], the AAS was created.…”

Section: Asset Administration Shellmentioning

confidence: 99%

“…For this process to occur, the assets need to be digitized; that is, their data must be taken to the virtual world [32,33]. To perform this mapping in a way that ensures interoperability between systems and components [33], the AAS was created. It corresponds to a standardized digital representation of the asset containing all its technical information and functionalities.…”

Section: Asset Administration Shellmentioning

confidence: 99%

SQL and NoSQL Databases in the Context of Industry 4.0

Vf¹,

Pessoa²,

Junqueira³

2021

Preprint

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The data-oriented paradigm has proven to be fundamental for the technological transformation process that characterizes Industry 4.0 (I4.0) so that Big Data & Analytics is considered a technological pillar of this process. The literature reports a series of system architecture proposals that seek to implement the so-called Smart Factory, which is primarily data-driven. Many of these proposals treat data storage solutions as mere entities that support the architecture's functionalities. However, choosing which logical data model to use can significantly affect the performance of the architecture. This work identifies the advantages and disadvantages of relational (SQL) and non-relational (NoSQL) data models for I4.0, taking into account the nature of the data in this process. The characterization of data in the context of I4.0 is based on the five dimensions of Big Data and a standardized format for representing information of assets in the virtual world, the Asset Administration Shell. This work allows identifying appropriate transactional properties and logical data models according to the volume, variety, velocity, veracity, and value of the data. In this way, it is possible to describe the suitability of SQL and NoSQL databases for different scenarios within I4.0.

show abstract

Towards an Asset Administration Shell scenario: a use case for interoperability and standardization in Industry 4.0

Cited by 23 publications

References 8 publications

SQL and NoSQL Databases in the Context of Industry 4.0

SQL and NoSQL Databases in the Context of Industry 4.0

Automated Design and Integration of Asset Administration Shells in Components of Industry 4.0

SQL and NoSQL Databases in the Context of Industry 4.0

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