基于大数据的工业遗产旅游地意象感知与转译设计研究

黄笛; 徐彬; 龚诗尧

doi:10.19554/j.cnki.1001-3563.2026.10.033

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (10) : 367-380. DOI: 10.19554/j.cnki.1001-3563.2026.10.033

设计研讨

基于大数据的工业遗产旅游地意象感知与转译设计研究

黄笛, 徐彬, 龚诗尧

作者信息 +

Image Perception and Translation Design of Industrial Heritage Tourist Destinations Based on Big Data

HUANG Di, XU Bin, GONG Shiyao

Author information +

文章历史 +

摘要

目的探究工业遗产更新发展过程中的文旅意象特征与转译设计路径,以推动工业遗产的创新活化与旅游体验升级。方法以北京798艺术区为研究案例,构建多模态数据采集、意象感知分析、转译创新设计的一体化研究框架。通过ResNet50深度学习模型识别图像视觉,结合词频分析、LDA主题建模及BERT情感分析挖掘热点语义与情感倾向,运用空间句法与POI数据分析探究意象空间分布与可达性特征,对核心意象进行符号化转译设计。结果 “艺术”是798艺术区的核心感知意象,艺术元素与工业遗存融合的场景构成园区核心打卡空间。POI热点分布与空间整合度高的区域高度耦合,呈现由核心到边缘的意象格局。基于多模态数据提炼的核心意象元素,完成了从视觉符号提炼、风格化抽象转译到实践场景适配的转译设计。结论该研究框架实现了社交媒体数据驱动下意象感知与转译设计的深度融合,为工业遗产旅游地的文化传承、设计创新与可持续发展提供实践参考。

Abstract

The work aims to explore the cultural tourism image characteristics and translation design paths in the renewal and development of industrial heritages, so as to promote the innovative activation of industrial heritages and the upgrading of tourism experience. With Beijing 798 Art Zone as the research case, an integrated research framework consisting of multi-modal data collection, image perception analysis, and translation innovation design was constructed. Specifically, the ResNet50 deep learning model was adopted to identify the visual features of images. Word frequency analysis, LDA topic modeling and BERT sentiment analysis were combined to explore semantic hotspots and emotional tendencies. Space syntax and POI data analysis were applied to investigate the spatial distribution and accessibility characteristics of images. Symbolic translation design was carried out for the core images. "Art" was the core perceived image of Beijing 798 Art Zone, and the scenes where core images such as graffiti and sculptures, landmark buildings, and streetscapes integrated with industrial heritage constituted the core check-in spaces of the zone. The distribution of POI hotspots was highly coupled with areas of high spatial integration, presenting an image pattern from core to edge. Based on the core image elements extracted from multi-modal data, a full-chain translation design was completed, including visual symbol extraction, stylized abstract translation and practical scenario adaptation. This research framework realizes the deep integration of image perception and translation design driven by social media data, providing practical references for the cultural inheritance, design innovation and sustainable development of industrial heritage tourist destinations.

导出引用1

黄笛, 徐彬, 龚诗尧. 基于大数据的工业遗产旅游地意象感知与转译设计研究[J]. 包装工程. 2026, 47(10): 367-380 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.033

HUANG Di, XU Bin, GONG Shiyao. Image Perception and Translation Design of Industrial Heritage Tourist Destinations Based on Big Data[J]. Packaging Engineering. 2026, 47(10): 367-380 https://doi.org/10.19554/j.cnki.1001-3563.2026.10.033

中图分类号： TB472

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