| dc.description.abstract | EFD Induction want to look at the possibility of developing a digital twin for their induction heating equipment. A digital twin has a variety of usages, such as monitoring, predictive maintenance, and testing what-if scenarios. This thesis will study how a digital twin can be developed for the benefit of the customers of EFD Induction regarding testing of their induction heating application and compare with existing testing methods.
A digital twin has been developed, consisting of an Application Model, Converter Model, Set Point Controller, Data Storage and Converter Interface. The focus has been on a connection between the programs through a central hub, called Data Exchange, with the implementation of an IoT messaging protocol.
A connection between the models has been established, and a base for the digital twin for induction heating equipment has been developed. Testing of the real application and the digital twin have been executed to compare the temperature development in the application. The usage for the digital twin for customers at this stage, is monitoring the induction heating process when testing. For future work, a Model Parameter Tuner can be included as an additional building block in the digital twin for optimizing the parameters in the Application Model. | |
