Abstract
A digital twin system refers to a large complex software application with a purpose of monitoring and/or simulating a complex physical system, possibly with some help from sensors and actuators in the physical world. Twin system can be used in a variety of fields, with great potential, such as smart city, factory optimization, architecture, and manufacturing, to name a few. However, despite academic and industry interest, the development of digital twin systems is still at the initial stage. In addition, although various studies have introduced the concepts and roles of the digital twin system and the digital things, more research is still needed on the specific concept on how to efficiently operate/manage them. In this paper, we propose an abstract digital thing class with a concept of self-evolution to efficiently operate/manage digital things in the digital twin system. The abstract digital thing class can efficiently operate the system with digital things through abstraction, inheritance, and upcasting of the classes.
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