A Mixed Reality application for studying the improvement of HVAC systems in learning factories

作者: Marvin Czarski , Yen Ting Ng , Marcus Vogt , Max Juraschek , Bastian Thiede

DOI: 10.1016/J.PROMFG.2020.04.039

关键词:

摘要: Abstract Heating, ventilation and air conditioning (HVAC) systems in factories provide controlled conditions for workers production equipment. At the same time, these are responsible a significant share of industrial energy consumption. Commonly, HVAC treated separately from systems. However, numerous interactions cross-influences occur affecting overall efficiency quality. With analyzing understanding indoor goal is to enable future engineers experts design set them up way that improves human comfort, while reducing To achieve this, cyber-physical system approach learning factory presented. Based on data provided by infrastructure, building performance simulation with an integrated computational fluid dynamics composed. implementation factory, different operation scenarios can be examined trainings convey competencies about general influences connection A mixed reality application provides three-dimensional visualization cyber-model computed results learners.

参考文章(1)
Volkan Gunes, Steffen Peter, Tony Givargis, Improving Energy Efficiency and Thermal Comfort of Smart Buildings with HVAC Systems in the Presence of Sensor Faults high performance computing and communications. pp. 945- 950 ,(2015) , 10.1109/HPCC-CSS-ICESS.2015.154