Low-Carbon Compliant Design and Engineering Practice of Snowman Landscape in Jinlin District Based on AI+BIM

DOI

10.2991/978-94-6239-787-3_66How to use a DOI?

Keywords

AI+BIM; Ice and Snow Landscape; Policy Adaptation; Collaborative Verification; Generative AI; BIM Technology; Intelligent Design; Low-carbon Construction

Abstract

Against the policy background of national digital transformation, carbon peaking and neutrality goals, and the high-quality development of ice and snow economy, traditional ice and snow landscape design faces many industrial problems such as low design accuracy, high material loss, insufficient cultural integration and weak safety operation and maintenance. Taking the “Jinjin & Linlin” giant snowman project in Jinlin District, Yichun as an empirical case, it conducts a study on low-carbon compliant design of cold-region ice-snow landscapes through the collaboration of generative AI intelligent scheme generation and BIM full-lifecycle digital management. The research establishes a dual-database and dual-engine training system equipped with multi-dimensional optimization algorithms. Generative AI undertakes front-end creative design, generating multiple differentiated design schemes under the constraints of policies, cold-region materials, and forest area culture. Relying on BIM integrated with 3D laser scanning and digital twin technologies, a collaborative verification platform is built to run through the whole process of design, construction, and operation & maintenance, realizing dynamic iteration of policy compliance. Low-carbon goals such as intensive site utilization and lightweight material usage are achieved through algorithms, while a visual recognition model is embedded to deeply integrate local forest cultural symbols. Engineering practice demonstrates that the proposed AI+BIM collaborative system can improve design efficiency and site utilization, effectively reduce construction waste and carbon emissions, and form a replicable paradigm for digital low-carbon construction of cold-region ice-snow landscapes, providing standardized technical references and engineering demonstrations for intelligent and green construction of ice-snow landscapes in severe cold regions.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinghua Han
AU  - Zheng Yang
AU  - Zhenhua Han
AU  - Xiaoyu Huo
AU  - Zhijiang Wang
PY  - 2026
DA  - 2026/09/29
TI  - Low-Carbon Compliant Design and Engineering Practice of Snowman Landscape in Jinlin District Based on AI+BIM
BT  - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
PB  - Atlantis Press
SP  - 656
EP  - 669
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-787-3_66
DO  - 10.2991/978-94-6239-787-3_66
ID  - Han2026
ER  -