Cristin-resultat-ID: 2160179
Sist endret: 17. oktober 2023, 09:11
Resultat
Mastergradsoppgave
2023

Implementing an AAS for a Siemens motor control system

Bidragsytere:
  • Alexey Siverskiy

Utgiver/serie

Utgiver

Norwegian University of Science and Technology

Om resultatet

Mastergradsoppgave
Publiseringsår: 2023
Antall sider: 88

Klassifisering

Fagfelt (NPI)

Fagfelt: IKT
- Fagområde: Realfag og teknologi

Beskrivelse Beskrivelse

Tittel

Implementing an AAS for a Siemens motor control system

Sammendrag

This master thesis covers the implementation of an Asset Administration Shell (AAS) for a Siemens Motor Control System (SMCS). The implementation consists of creating the AAS, then establishing a real time communication between the AAS and SMCS. The AAS is the digital twin for Industry 4.0 systems, and structures related data elements into sets called submodels. This thesis will provide an overview of the establishing of basic monitoring and control of a set of Siemens hardware using the TIA Portal, which was installed on a local PC, that was connected to the hardware by a PROFINET protocol. A larger focus will be on the creation of the AAS for the hardware, as well as establishing communication between the AAS and SMCS. The relevant hardware is a Siemens motor, a Siemens inverter and a Siemens PLC. The creation of AAS was done with the AAS Package Explorer and AAS server from the admin-shell-io github. Basic control of the hardware was created with the TIA Portal. Communication between the TIA Portal and the AAS was facilitated with the open source tool NodeRED. The work covered by this thesis has deployed the AAS as a fog-based, centralized AAS. This thesis discusses these, and other deployment options, and weighs up these options in regards to the scale of the system. The result entailed being able to monitor and control the hardware by using the AAS Package Explorer and Blazor interface.

Bidragsytere

Alexey Siverskiy

  • Tilknyttet:
    Forfatter

Mary Ann Lundteigen

  • Tilknyttet:
    Veileder
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
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