 This paper proposes a novel approach to digital twin modeling for discrete manufacturing lines. It integrates the information control dimension into existing digital twin modeling methods, allowing for more accurate representation of the physical entity's behavior and control logic. Additionally, the proposed methodology enables the virtual real intelligent mutual control of discrete manufacturing lines, providing valuable insight into their operation and maintenance. This article was authored by Jey Ussia and Jaffu Wan.