<scp>IIoT</scp> ‐Driven Digitalization of Intangible Cultural Heritage: Mongolian Embroidery Generation Technology Based on Stable Diffusible <scp>LoRA</scp> Multi‐Level Tag Optimization
ABSTRACT This study, under the background of the Industrial Internet of Things (IIoT) promoting the digitalization of intangible cultural heritage, proposes an improved solution based on Stable Diffusion and LoRA fine‐tuning. By constructing a three‐level label system of “pattern type‐color combination‐cultural connotation,” the generation effect of Mongolian embroidery is optimized. The experiment adopts a three‐group control design and verifies it with indicators such as PSNR and cultural compliance. The results show that the three‐level label model is significantly superior to other groups in terms of pattern restoration and cultural authenticity. This study provides a lightweight solution of “cloud‐edge‐device” collaboration for the digital inheritance of ethnic culture in the IIoT environment and points out the direction for the generation of automated labels and the optimization of distributed computing.
Authors
- Xiao‐Hui Yang (ORCID: https://orcid.org/0000-0003-1672-0523)
- Gaofeng Mi (ORCID: https://orcid.org/0009-0004-9716-7129)
Institutions
- Xi'an University of Science and Technology (CN)
- Inner Mongolia University of Science and Technology (CN)
- Shaanxi University of Science and Technology (CN)
Publication Details
- Journal
- Internet Technology Letters
- Published
- 2025-12-02
- DOI
- https://doi.org/10.1002/itl2.70197
- Primary Topic
- Big Data and Digital Economy
- Type
- article
- Field-Weighted Citation Impact
- 0.00