Cognitive and Management Methods for Multi-level and Multi-modal Data of Residential Historic Areas in China
Proceedings of the 30th CAADRIA Conference, Tokyo, 2025:Vol.4 243-252
Citation
SONG Z, TANG P, JIN Y, ZHU X, SONG Y. Cognitive and Management Methods for Multi-level and Multi-modal Data of Residential Historic Areas in China[C].Architectural Informatics - Proceedings of the 30th CAADRIA Conference, Tokyo, 2025:Vol.4 243-252.
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Abstract
With the increasing attention to historical and cultural connotations in China’s urban renewal, the conservation and renewal of residential historic areas are gradually shifting towards refined operations based on micro-units, which brings a large amount of information processing and integration work. This study proposes a technical method that can recognise, integrate, and manage multi-level and multimodal information about historic areas. Firstly, relying on the hierarchy structure, the quantitative expression and linkage of complex information within historic areas were completed as the basic architecture of the database. Subsequently, the storage of historical location data was achieved by configuring the PostgreSQL database on online servers. A terminal platform has been developed for practical applications. Diverse users can use this platform to complete real-time data exchange with online databases, as well as multi-objective analysis and design decisions. This study provides a technical process centred around a database, which connects multi-source heterogeneous information at various levels and facilitates collaborative work among diverse populations. While improving the accuracy and efficiency of the design work, it also promotes a shift in work mode from relying on human experience speculation to relying on data analysis and deduction.
Keywords
Residential Historic Areas, Conservation and Renewal, Hierarchy structure, PostgreSQL database, Terminal platform
