首页|New Findings on Machine Learning Described by Investigators at University of Mal aga (Integrating Fmi and Ml/ai Models On the Open-source Digital Twin Framework Opentwins)
New Findings on Machine Learning Described by Investigators at University of Mal aga (Integrating Fmi and Ml/ai Models On the Open-source Digital Twin Framework Opentwins)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting originating in Malaga,Spain,by N ewsRx journalists,research stated,"The realm of digital twins is experiencing rapid growth and presents a wealth of opportunities for Industry 4.0. In conjunc tion with traditional simulation methods,digital twins offer a diverse range of possibilities." Financial support for this research came from Ministerio de Ciencias y Universid ades ,Spain. The news reporters obtained a quote from the research from the University of Mal aga,"However,many existing tools in the domain of open-source digital twins co ncentrate on specific use cases and do not provide a versatile framework. In con trast,the open-source digital twin framework,OpenTwins,aims to provide a vers atile framework that can be applied to a wide range of digital twin applications . In this article,we introduce a re-definition of the original OpenTwins platfo rm that enables the management of custom simulation services and the management of FMI simulation services,which is one of the most widely used simulation stan dards in the industry and its coexistence with machine learning models,which en ables the definition of the next-gen digital twins. Thanks to this integration,digital twins that reflect reality better can be developed,through hybrid model s,where simulation data can feed the scarcity of machine learning data and so f orth. As part of this project,a simulation model developed through the hydrauli c software Epanet was validated in OpenTwins,in addition to an FMI simulation s ervice. The hydraulic model was implemented and tested in an agricultural use ca se in collaboration with the University of Cordoba,Spain."
MalagaSpainEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Malaga
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