A MODULAR, SCALABLE AND GENERALIZABLE METHOD FOR CREATING DIGITAL TWINS OF INDUSTRIAL PROCESSES
Digital twins. Creation method. Industrial processes. Multi-agent systems. Essential oils.
Digital twins are commonly referred as virtual copies of a physical asset. However, there is no common definition for this term that is widely adopted. Along with other terms in the context of Industry 4.0, digital twins are increasingly being discussed. It is noteworthy that the creation and development of a digital twin is dependent on the physical counterpart being mirrored. Products, services, industrial processes and physical phenomena are some of the instances that can be digitized for various purposes such as optimization, lifecycle management and performance analysis. The need to develop generalizable and scalable solutions for digital twins is increasing. Therefore, this work proposes a modular, scalable and generalizable framework for digital twin creation based on the concept of multi-agent systems to support processes with various specificities of different industries in a configurable constructive structure. Five classes of containers were used in this work: sensor, actuator, conveyor, operator and storage modules. These modules were designed to cover all kinds of entities present in an industrial process. The digital twin of an essential oil steam distillation plant was created to demonstrate the proposed methodology as an instance of validation of the proposed creation method. Distillation is carried out in batches with discrete batches of plant material. As it is a batch process, it presents both continuous and discrete dynamics. So, this process is a good demonstration of a generic digital twin. The proposed digital twin concept can be the basis for the creation of several others due to its modular, scalable and generalizable characteristics.