Virtual and augmented reality are currently enjoying a great deal of attention from the research community and the industry towards their adoption within industrial spaces and processes. However, the current design and implementation landscape is still very fluid, while the community as a whole has not yet consolidated into concrete design directions, other than basic patterns. Other open issues include the choice over a cloud or edge-based architecture when designing such systems. Within this work, we present our approach for a monitoring intervention inside a factory space utilizing both VR and AR, based primarily on edge computing, while also utilizing the cloud. We discuss its main design directions, as well as a basic ontology to aid in simple description of factory assets. In order to highlight the design aspects of our approach, we present a prototype implementation, based on a use case scenario in a factory site, within the context of the ENERMAN H2020 project.

翻译：虚拟现实与增强现实技术目前在学术界和工业界备受关注，正被逐步应用于工业空间与流程中。然而，当前的设计与实现领域仍处于高度动态阶段，除基础模式外，整个领域尚未形成明确的设计方向。其他未决问题包括设计此类系统时选择云端还是边缘端架构。本研究提出了一种基于边缘计算为主、云端为辅的工厂空间监控干预方法，该方法融合了VR与AR技术。我们论述了其主要设计方向，并建立了一种基础本体框架以辅助工厂资产的简化描述。为突出本方法的设计特性，我们以ENERMAN H2020项目中的工厂现场用例场景为基础，展示了原型系统的实现。