Internet of Things enabled real-time visibility in Industry 4.0

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dc.contributor.advisor Xu, X en Vengayil, Hrishikesh en 2018-07-19T23:21:39Z en 2018 en
dc.identifier.uri en
dc.description Full text is available to authenticated members of The University of Auckland only. en
dc.description.abstract Internet of Things (IoT), Industry 4.0 and Machine Tool 4.0 enable our capacity to interact with smarter, self-x and autonomous machine tools known as Cyber-Physical Machine Tools (CPMT). CPMT is the Cyber-Physical System (CPS) form of machine tools. Recent advancements in Information and Communication Technology (ICT) have enabled the development of such systems more easily, which can be integrated across and along various hierarchy in an enterprise thus bringing the managerial levels closer to the production level helping to make better and faster decisions ultimately. CPMT also provides us with a better visualization capability, for which the integration of Augmented Reality (AR) and Virtual Reality (VR) provides the support. Although this may be easily integrated onto current systems as they are more interoperable themselves, this is not the case when it comes to a legacy system. This thesis proposes an AR-based monitoring and a VR-based remote-monitoring capability integrated onto the CPMT for a legacy system for better real-time visibility of the machining process. The proposed method allows the legacy machine tool, machining processes, real-time machining data, and machining simulation to be integrated thoroughly via networks. The development methodology of Machine Tool Cyber-Twin (MTCT) which is the core of a CPMT based on various industry standards for communication like Open Platform Communication-Unified Architecture (OPC UA) and Machine Tool-Connect (MTConnect) is also studied. An OPC UA and OPC UA & MTConnect companion based CPMT prototype is developed to validate the proposed system. The case studies show the potential in assisting the user or the operator. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof Masters Thesis - University of Auckland en
dc.relation.isreferencedby UoA99265070411202091 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights Restricted Item. Available to authenticated members of The University of Auckland. en
dc.rights.uri en
dc.rights.uri en
dc.title Internet of Things enabled real-time visibility in Industry 4.0 en
dc.type Thesis en Mechanical Engineering en The University of Auckland en Masters en
dc.rights.holder Copyright: The author en
pubs.elements-id 748084 en Academic Services en Examinations en
pubs.record-created-at-source-date 2018-07-20 en

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