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dc.contributor.advisorBrastein, Ole Magnus
dc.contributor.advisorViala, Pascal
dc.contributor.authorMoe, Ronnie Andre Horne
dc.date.accessioned2022-06-25T16:41:16Z
dc.date.available2022-06-25T16:41:16Z
dc.date.issued2022
dc.identifierno.usn:wiseflow:6583421:50226158
dc.identifier.urihttps://hdl.handle.net/11250/3000858
dc.description.abstractA Norwegian battery manufacturer with goals of becoming the most technological workplace globally, is working on developing 1D and 3D digital twin to model and optimize the battery production process. The objective of the thesis is to model parts of the battery production process, visualize the model using a virtual reality solution, and present a networking solution to facilitate fast and easily configured communications. The thesis presents a solution using discrete event simulations with SimPy in Python, a virtual reality environment developed in Unity and a communications platform using ØMQ. The selected technologies are found to be capable of handling the tasks, but some limiting factors of the solution are identified. Remaining work to make the solution a realistic representation and fully functional 3D digital twin is discussed.
dc.languageeng
dc.publisherUniversity of South-Eastern Norway
dc.titleDigital twin for monitoring, optimization and training in battery production
dc.typeMaster thesis


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