A Digital Twin and AIGC Dual-Driven Enterprise Information System for Cultural and Creative Design Innovation in Jun Porcelain

The traditional Jun porcelain industry has long suffered from a systemic disconnect among design, craftsmanship, and market feedback, which hinders its digital and intelligent transformation. This study proposes an enterprise information system innovation framework driven by digital twin and artificial intelligence-generated content. The system constructs a multi-scale digital twin spanning the kiln, form, and glaze, enabling predictable and interactive control of the kiln transformation process. The firing success probability is embedded as a soft prompt into a low-rank adaptation-fine-tuned Stable Diffusion model, integrating creativity with process constraints. A crowdsourced evaluation and reinforcement learning mechanism enables a “perception-generation-feedback” closed loop. Field tests in Yuzhou enterprises show the system significantly enhances process transparency, design freedom, and market agility. It offers a scalable information system paradigm for the digital transformation of intangible cultural heritage enterprises.