Industrial environments are considered to be severe from the point of view of electromagnetic (EM) wave propagation. When dealing with a wide range of industrial environments and deployment setups, ray-tracing channel emulation can capture many distinctive characteristics of a propagation scenario. Ray-tracing tools often require a detailed and accurate description of the propagation scenario. Consequently, industrial environments composed of complex objects can limit the effectiveness of a ray-tracing tool and lead to computationally intensive simulations. This study analyzes the impact of using different propagation models by evaluating the number of allowed ray path interactions and digital scenario representation for an industrial environment. This study is realized using the Volcano ray-tracing tool at frequencies relevant to 5G industrial networks: 2 GHz (mid-band) and 28 GHz (high-band). This analysis can help in enhancing a ray-tracing tool that relies on a digital representation of the propagation environment to produce deterministic channel models for Indoor Factory (InF) scenarios, which can subsequently be used for industrial network design.

翻译：从电磁波传播的角度来看，工业环境被认为是严峻的。当处理多种工业环境和部署配置时，射线追踪信道模拟能够捕捉传播场景的许多独特特征。射线追踪工具通常需要对传播场景进行详细且准确的描述。因此，由复杂物体构成的工业环境可能会限制射线追踪工具的有效性，并导致计算密集型的模拟。本研究通过评估工业环境中允许的射线路径交互次数和数字场景表示，分析了使用不同传播模型的影响。本研究利用Volcano射线追踪工具在5G工业网络相关频率（2 GHz中频段和28 GHz高频段）下进行。该分析有助于增强依赖传播环境数字表示的射线追踪工具，为室内工厂（InF）场景生成确定性信道模型，进而可用于工业网络设计。