The digital twin represents a significant direction for the digital transformation of factories. Traditional process manufacturing is characterized by limited real-time interaction and insufficient transparency, hindering effective monitoring of production data and delaying the timely response to production incidents. These limitations make it increasingly unsuitable for the demands of the digital age. This paper proposes a digital twin system for process manufacturing, developed based on a five-dimensional model, and explains the interaction process of the digital twin system from the perspective of data circulation. The development methods and key enabling technologies of the digital twin system are summarized. Using the coding production line as the research object, the data space, virtual space, and user space were constructed based on the Blender platform. Experimental results indicate that this system possesses functions such as remote monitoring, data analysis, remote control, process tracing, and VR interaction. This research establishes the groundwork for advancing the remote and autonomous operation of process manufacturing.