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基于多维感知数据融合的工业遗存开发时序研究

陈相如,  陈婕文,  范高林,  蒲文娟,  鲁子良

陈相如, 陈婕文, 范高林, 蒲文娟, 鲁子良. 基于多维感知数据融合的工业遗存开发时序研究[J]. 工业建筑, 2026, 56(9): 120-131. doi: 10.3724/j.gyjzG25072301
引用本文: 陈相如, 陈婕文, 范高林, 蒲文娟, 鲁子良. 基于多维感知数据融合的工业遗存开发时序研究[J]. 工业建筑, 2026, 56(9): 120-131. doi: 10.3724/j.gyjzG25072301
CHEN Xiangru, CHEN Jiewen, FAN Gaolin, PU Wenjuan, LU Ziliang. Research on the Development Sequence of Industrial Heritage Based on Multi-Dimensional Perception Data Fusion: a Case Study of Xi’an Baqiao Thermal Power Plant[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(9): 120-131. doi: 10.3724/j.gyjzG25072301
Citation: CHEN Xiangru, CHEN Jiewen, FAN Gaolin, PU Wenjuan, LU Ziliang. Research on the Development Sequence of Industrial Heritage Based on Multi-Dimensional Perception Data Fusion: a Case Study of Xi’an Baqiao Thermal Power Plant[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(9): 120-131. doi: 10.3724/j.gyjzG25072301

基于多维感知数据融合的工业遗存开发时序研究

doi: 10.3724/j.gyjzG25072301
基金项目: 

西安市社会科学规划基金项目(24QL46);中央高校基本科研业务费项目(300102410101)。

详细信息
    作者简介:

    陈相如,主要从事空间感知与行为设计方向研究,2021905921@chd.edu.cn。

    通讯作者:

    蒲文娟,博士,主要从事城乡遗产保护、遗产数字化方向研究,pwj1130@chd.edu.cn。

Research on the Development Sequence of Industrial Heritage Based on Multi-Dimensional Perception Data Fusion: a Case Study of Xi’an Baqiao Thermal Power Plant

  • 摘要: 在城市更新持续深化的背景下,西安作为典型老工业城市,面临大量工业遗存活化利用的现实需求。受更新资源有限、改造周期较长等因素制约,全面改造难以同步推进,因而需要识别具有较高公共关注度和空间带动潜力的关键节点,形成分阶段、渐进式的开发时序。以西安灞桥热电厂为例,面向工业遗存向文化展览类公共空间转型,构建融合语义认知、视觉关注与主观偏好的多维感知数据分析框架。首先,基于用户生成内容(User-Generated Content,UGC)提取公众讨论中的空间节点、行为特征与情绪体验,识别具有代表性的高关注对象;其次,通过虚拟现实眼动追踪试验记录注视初始时间、首次注视持续时间、总注视持续时间、平均注视持续时间和注视次数,检验不同建筑节点的视觉吸引力与注意分配特征;最后,结合试验后问卷与现场调研问卷,从空间吸引力、历史记忆、情感记忆、外观美感、游客识别度和再利用价值等方面确认公众偏好。研究表明:锅炉房a段在语义热度、视觉关注和主观评价中均表现突出,可作为优先活化的核心节点;烟囱等要素具有较强的场所识别性和情感联结,可作为后续协同提升对象。基于三类感知数据的交叉验证,形成由“公众认知聚焦—视觉注意验证—主观偏好确认”逐层推进的开发时序识别方法。
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  • 收稿日期:  2025-07-23
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