首页|基于CIM-建筑三维热红外模型库的高热损失建筑感知方法

基于CIM-建筑三维热红外模型库的高热损失建筑感知方法

High Heat Loss Building Perception Method Based on CIM-building Three-dimensional Thermal Infrared Model Library

扫码查看
我国北方建筑采暖能耗在全国建筑运行总能耗中占比较大,在城市更新大背景下,既有建筑的节能改造势在必行,是实现"双碳"目标的关键环节.不同建筑的能耗和室内环境存在显著的差异,使用传统的围护结构热工性能检测方法很难对一定区域内的既有建筑群开展热工性能诊治工作,大规模开展既有建筑节能改造工作时,缺乏科学和量化的筛查方法以确定不同建筑进行节能改造的优先级及节能改造潜力.借助无人机红外热像技术,研究城市信息模型(CIM)-建筑三维热红外模型库的搭建方法,并基于此提出采暖建筑高热损失的快速筛查方法,为既有建筑节能改造项目的确定提供理论依据,有利于实现对既有采暖建筑运行热损失的精细化和动态化管理.
The heating energy consumption of buildings in northern China accounts for a relatively large proportion of the total energy consumption of building operation in the country,in the context of urban renewal,the energy-saving transformation of existing buildings is imperative and the key link to achieve the"Dual-Carbon Goals"(realizing carbon peak before 2030 and carbon neutrality before 2060)in China.There are significant differences in the energy consumption and indoor environment of different buildings,and it is difficult to carry out thermal performance diagnosis and treatment for existing building groups in a certain area by using traditional thermal performance detection methods of envelopes.Based on the help of UAV infrared thermal imaging technology,this paper studies the construction method of city information model(CIM)-building three-dimensional thermal infrared model library,and proposes a rapid screening method for high heat loss in heating buildings,which provides a theoretical basis for the determination of energy-saving retrofitting projects of existing buildings,which is conducive to realizing the refined and dynamic management of heat loss in the operation of existing heating buildings.

city information model(CIM)dronethermal infrared3D reconstruction3D thermal infrared model

李剑桥、段盛文、郑海超、赵立华

展开 >

山东电力工程咨询院有限公司,济南 250014

山东建筑大学 建筑城规学院,济南 250101

华南理工大学 亚热带建筑科学国家重点实验室,广州 510640

城市信息模型 无人机 热红外 三维重建 三维热红外模型

国家重点研发计划山东电力工程咨询院有限公司科技项目

2019YFE01245002022-042300007855

2024

建筑节能(中英文)
中国建筑东北设计研究院有限公司

建筑节能(中英文)

CSTPCD
影响因子:0.695
ISSN:2096-9422
年,卷(期):2024.52(4)
  • 20