This study aims to develop a flexible and reconfigurable intelligent production line unit consisting of three layers: the physical, digital twin, and data layers. The physical layer comprises equipment such as a five-axis articulated machining center and an industrial six-axis robot. The digital twin layer comprises virtual models established within the VE2 digital twin platform. The data layer collects motion data from the physical equipment through a supervisory control and data acquisition system. Taking the processing of the Hercules Cup as an example, the combination of robot teaching programs and UG software programming for the five-axis machine tool enables the entire process from raw material to finished product. Rapid changeover can be achieved by adjusting the robot program's positional information and reprogramming the machining process. Motion data is parsed using Python scripts, facilitating interaction between the virtual model and the actual equipment, thereby establishing a remote monitoring system.