Sören Dittmann , Marc-Philipp Mathieu , Pengxiang Zhang , Arne Glodde , Franz Dietrich
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Device recognition assistants as additional data management method for Digital Twins
Reusing shopfloor data within Digital Twins offers the potential to optimize manufacturing-, production planning-, and engineering processes. Reusing data is only possible if the data is structured independently of the involved project teams. Current approaches focus on valuable, but complex standardization initiatives. This paper introduces device recognition assistants as a new, flexible data management method for Digital Twins. These assistants are based on time series classifiers to structure the communicated raw data. The assistants are experimentally evaluated. The results show the large potential for semantic annotations via time series classifications to assist the reuse of data within Digital Twins.
期刊介绍：
The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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