The adoption of digital technologies in manufacturing enables intelligent dynamic control approaches, at the cost of increased design complexity. In this paper, ontologies and delta-lenses are exploited to enable multi-scale models of a manufacturing system to map digital models at different scales and let data flow according to the level of fidelity. A workflow is designed to assess the capability of models with a lower level of details to approximate the behaviour of the original system, through the application of a hybrid delta-lens. The approach is illustrated with a user case and applied to an industrial case, aiming at deciding the positions of sensors in an assembly line.

在制造中采用数字技术可以实现智能动态控制方法，但代价是设计复杂性增加。在本文中，本体和 delta-lens 被利用来使制造系统的多尺度模型能够映射不同尺度的数字模型，并根据保真度水平让数据流动。工作流旨在通过应用混合增量透镜来评估具有较低细节级别的模型的能力，以近似原始系统的行为。该方法通过一个用户案例进行说明，并应用于工业案例，旨在确定传感器在装配线上的位置。