<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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IIoT ‐Driven Digitalization of Intangible Cultural Heritage: Mongolian Embroidery Generation Technology Based on Stable Diffusible LoRA Multi‐Level Tag Optimization

Xiao‐Hui Yang, Gaofeng Mi
Internet Technology Letters
Big Data and Digital Economy
article

IIoT ‐Driven Digitalization of Intangible Cultural Heritage: Mongolian Embroidery Generation Technology Based on Stable Diffusible LoRA Multi‐Level Tag Optimization

Xiao‐Hui Yang, Gaofeng Mi
article en

Abstract

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.

Internet Technology LettersVol. 9(1)
Xi'an University of Science and Technology (CN), Inner Mongolia University of Science and Technology (CN), Shaanxi University of Science and Technology (CN)
Openalex Percentile: Top 49%
Big Data and Digital Economy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.