Our simulation models are already being used and applied in many companies and universities for research as well as education and training. Here, some customers provide insights into their work with fischertechnik simulation models.
Creating factory digital twins with MongoDB Atlas and fischertechnik Training Factory
The digitalization of the manufacturing industry has given rise to the development of smart factories. These advanced factories incorporate IoT sensors into their machinery and equipment, allowing workers to gather data-driven insights on their manufacturing processes. However, the evolution does not stop at smart factories automating and optimizing physical production.
The emergence of virtual factories introduces simulation capabilities and remote monitoring, leading to the creation of factory digital twins. By bridging the concepts of smart and virtual factories, manufacturers can unlock greater levels of efficiency, productivity, flexibility, and innovation. However, setting up a virtual factory for complex manufacturing is difficult. Challenges include managing system overload, handling vast amounts of data from physical factories, and creating accurate visualizations.
The virtual factory must also adapt to changes in the physical factory over time. Given these challenges, having a data platform that can contextualize all the data coming in from the physical factory and then feed that to the virtual factory and vice versa is crucial. And this is what MongoDB Atlas enables.
MongoDB Atlas is the leading multi-cloud developer data platform for building modern applications. It can provide synchronization capabilities between physical and virtual worlds, enabling flexible data modeling and providing access to the data via a unified query interface. Please see the video below to understand how the MongoDB team leverages the Fischertechnik training factory to build a real time virtual factory/digital twin.
„The interaction of software and haptics creates understanding for machine vision“ - Prof. Dr. Carsten Müller