AssetHub: Enabling Hyperconnectivity in Industry 4.0 through Asset Model, Asset Management and Data Exchange Framework

 




 

Hang, Jen Hin (2024) AssetHub: Enabling Hyperconnectivity in Industry 4.0 through Asset Model, Asset Management and Data Exchange Framework. Masters thesis, Tunku Abdul Rahman University of Management and Technology.

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Abstract

With the global adoption of the industry 4.0 concept, various frameworks such as RAMI 4.0 (Reference Architectural Model Industrie 4.0) and IIRA (Industrial Internet Reference Architecture) have been developed to provide a structured approach for implementing Industry 4.0 technologies. However, these frameworks exhibit several shortcomings in key areas. The first concern is data modelling. The current standards for Assets in Industry 4.0 overemphasize Digital Twins and actual physical objects, lacking a model to structure data in the digital space to be compatible with other Assets. This research aims to propose an Asset Model that includes Asset and Instance Data to achieve data unification and ease interoperability between components of Industry 4.0. Another key area is Asset management. The absence of a proposed framework for managing Asset data in Industry 4.0 presents an opportunity for this research to propose an Asset Management system that can be seamlessly used across the supply chain. The final focus of this research is the hyperconnectivity aspect of the framework, which is crucial for systems and devices to be interoperable within the industry 4.0 ecosystem. This research introduces AssetHub, an Industry 4.0 framework that addresses these challenges with the design of Asset Modelling, Asset Management Architecture and a Hyperconnectivity Framework. This framework also serves as a foundation for several ongoing research efforts in the field of Industry 4.0. Keywords - Asset, Instance Data, AssetHub, Industry 4.0, Data Management, Data Exchange, Hyperconnectivity

Item Type: Thesis / Dissertation (Masters)
Subjects: Science > Computer Science > Computer networks
Technology > Technology (General) > Information technology. Information systems
Faculties: Faculty of Computing and Information Technology > Master of Computer Science
Depositing User: Library Staff
Date Deposited: 21 Aug 2025 06:25
Last Modified: 21 Aug 2025 06:25
URI: https://eprints.tarc.edu.my/id/eprint/33795