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Mar, 2024
基于边缘的参数化数字孪生技术在智能建筑室内气候模拟中的应用
Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling
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Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong
TL;DR
利用边缘计算、数字模型和深度学习实现建筑环境数字化转型,提升对室内气候的理解,通过边缘部署的数据预测模型能够有效预测室内温度和湿度的变化趋势。
Abstract
digital transformation
in the
built environment
generates vast data for developing data-driven models to optimize building operations. This study presents an integrated solution utilizing
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