Digital Twin of a diagnostic system : A proposal of a Digital Twin framework for the Transportable Culture Cabinet, with levels of application possibilities and its challenges

University essay from Uppsala universitet/Institutionen för biologisk grundutbildning

Abstract: The Digital Twin (DT) is a concept that is gaining more and more attention. A DT is a virtualversion of a physical product, which can be used in monitoring and developing said physical product.In this report we have discussed how a DT of a Transportable Culture Cabinet (TCC) could beimplemented, and its framework. The TCC is being developed at Q-linea and will be used for culturingblood samples for faster diagnosis of sepsis. A DT of a TCC could be used to monitor the statusof the sample and the physical product itself. Data from the TCC could also be used by the DTto detect and predict failures of the TCC such as malfunctioning batteries. The TCC can also bereferred to as a physical twin and will exist in the physical space, while the DT will exist in thevirtual space. An information processing layer (IPL) will connect the physical space and the virtualspace. A Digital Twin can either be a Digital Twin Prototype (DTP), a Digital Twin Environment(DTE), a Digital Twin Instance (DTI), or a Digital Twin Aggregate (DTA), which is an aggregationof all the DTIs. In this paper, we have solely focused on DTIs and DTAs. The Digital Twin ofthe Transportable culture cabinet will be a DTI, and by aggregating all the existing DTIs, or allDTIs belonging to the same hospital, a DTA will be created. Both DTIs and DTAs can be appliedwith different levels of complexity. Hence, we have proposed three levels of complexity of DTIs and DTAs. There are challenges of using a DT for a TCC. The user interface have to be user friendly forstaff that have little IT knowledge. Another challenge is the synchronisation between the TCC and DT.Since the TCC is mobile, a stable internet connection cannot be guaranteed. The TCC should thereforebe able to store the most important data.

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