A visual particle system based on mechanism model data in digital twin

Abstract

Digital twin has developed rapidly during the last two years, which provides a digital transformation from physical space to virtual space for real-time prediction, monitoring, control and optimization in industry. The visualization particle system based on mechanism model data can expand the digital twin to more fields since it is hard to directly observe the data in the production process, such as fluid, gas, and high-temperature raw materials. Although mechanism model is good at resolving the production data, the visualization mode is so simple so that users can only read the operation status in the form of numerical charts. In this paper, a visual particle system based on mechanism model data is achieved with Unity SRP for digital twin. The dedicated data conversion and visualization methods are proposed and an interactive editor is developed. Through a demo application in the iron and steel smelting scenario, mechanism model the system is proved to present a satisfactory visualization effect.