Automatic relative humidity optimization in underground heritage sites through ventilation system based on digital twins

通风(建筑) 航程(航空) 相对湿度 工程类 建筑工程 土木工程 采矿工程 海洋工程 气象学 机械工程 航空航天工程 地理
作者
Jiaying Zhang,Helen H.L. Kwok,Han Luo,Jimmy C.K. Tong,Jackie Cheng
出处
期刊:Building and Environment [Elsevier BV]
卷期号:216: 108999-108999 被引量:18
标识
DOI:10.1016/j.buildenv.2022.108999
摘要

Underground heritage sites generally experience significant humidity, which results in the destruction of the surfaces and structures. This study establishes an underground heritage site preservation mechanism through a dynamic ventilation system based on digital twin technology. The aim is to control the relative humidity (RH) gradually on the air region near the walls of sites within the standard range and reduce adverse physical equipment effects and energy consumption of the system. Underground heritage site projects have more complex shapes with irregular and nonlinear arcs and height difference distributions. It is challenging to regenerate them. To achieve this objective, a model simplification rule for irregular heritage building information modeling (HBIM) technology was first established via computational fluid dynamics (CFD) simulation. Second, a methodology was developed to design a reliable and effective ventilation equipment and its layout based on CFD for irregular heritage sites. Compared with the scheme based on the optimal geometric rule arrangement, the number of pipes can be reduced by up to 25%. Third, a web-based digital twin platform combined with Internet of Things (IoTs) technology was established for achieving real-time control of the overall RH level of underground heritage sites within the standard range. The results present new solutions to control the RH of underground heritage sites for preservation. The proposed methodology can be used in typical underground heritage sites and illustrated by a real case. The validation encompassed development of digital environment for the real case and development of the ventilation system for its RH optimization.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
betty2009发布了新的文献求助10
刚刚
刚刚
刚刚
士丁完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
俞秋烟发布了新的文献求助10
2秒前
sally发布了新的文献求助10
2秒前
2秒前
2秒前
3秒前
守一完成签到,获得积分10
4秒前
4秒前
5秒前
saber完成签到 ,获得积分10
5秒前
香蕉觅云应助YYD123采纳,获得10
5秒前
5秒前
7秒前
Dawn发布了新的文献求助10
7秒前
乐无忧完成签到,获得积分20
7秒前
额额发布了新的文献求助30
8秒前
南宫发布了新的文献求助10
8秒前
在水一方应助冷却水采纳,获得10
8秒前
8秒前
8秒前
lili发布了新的文献求助10
8秒前
玉沐沐发布了新的文献求助10
8秒前
9秒前
9秒前
柴米油盐发布了新的文献求助10
9秒前
CodeCraft应助lzh采纳,获得10
9秒前
Jasper应助刘fgg2121采纳,获得10
10秒前
10秒前
迷糊完成签到,获得积分10
10秒前
fanny完成签到 ,获得积分10
10秒前
义薄云天wym关注了科研通微信公众号
10秒前
可爱的函函应助李翔采纳,获得10
10秒前
10秒前
lyl发布了新的文献求助10
11秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
GMP in Practice: Regulatory Expectations for the Pharmaceutical Industry 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6296180
求助须知:如何正确求助?哪些是违规求助? 8113662
关于积分的说明 16982478
捐赠科研通 5358357
什么是DOI,文献DOI怎么找? 2846809
邀请新用户注册赠送积分活动 1824096
关于科研通互助平台的介绍 1678998