火灾和烟雾数字孪生系统--火灾事故结果建模的计算框架

IF 7.1 1区 地球科学 Q1 ENVIRONMENTAL STUDIES Computers Environment and Urban Systems Pub Date : 2024-04-03 DOI:10.1016/j.compenvurbsys.2024.102093
Ryan Hardesty Lewis , Junfeng Jiao , Kijin Seong , Arya Farahi , Paul Navrátil , Nate Casebeer , Dev Niyogi
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引用次数: 0

摘要

火灾和燃烧是造成颗粒物(PM2.5)的主要原因,而颗粒物是衡量全球社区和城市空气质量的关键指标。这项工作开发了一个实时火灾跟踪平台,以显示美国二十多个城市报告的活跃火灾,并预测其烟雾路径及其对范围内地区空气质量的影响。具体来说,我们的近实时跟踪和预测最终形成了一个数字双胞胎,以保护公众健康,并向公众通报火灾和空气质量风险。该工具可实时跟踪火灾事故,利用奥斯汀的三维建筑足迹模拟烟雾输出,并预测复杂城市环境中的火灾事故烟雾衰减情况。这项研究的成果包括一个完整的奥斯汀火灾和烟雾数字孪生模型。我们与奥斯汀市消防局合作,以确保预测的准确性,同时也表明城市中的空气质量传感器密度无法验证城市火灾的存在。此外,我们还发布了代码和方法,以便在全球任何城市复制这些结果。这项工作为开发和部署类似的数字孪生模型铺平了道路,以更好地保护市民的健康和安全。CCS概念计算机系统组织→嵌入式系统;实时系统;-计算方法→建模和模拟;-应用计算→物理科学和工程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Fire and smoke digital twin – A computational framework for modeling fire incident outcomes

Fires and burning are the chief causes of particulate matter (PM2.5), a key measurement of air quality in communities and cities worldwide. This work develops a live fire tracking platform to show active reported fires from over twenty cities in the U.S., as well as predict their smoke paths and impacts on the air quality of regions within their range. Specifically, our close to real-time tracking and predictions culminates in a digital twin to protect public health and inform the public of fire and air quality risk. This tool tracks fire incidents in real-time, utilizes the 3D building footprints of Austin to simulate smoke outputs, and predicts fire incident smoke falloffs within the complex city environment. Results from this study include a complete fire and smoke digital twin model for Austin. We work in cooperation with the City of Austin Fire Department to ensure the accuracy of our forecast and also show that air quality sensor density within our cities cannot validate urban fire presence. We additionally release code and methodology to replicate these results for any city in the world. This work paves the path for similar digital twin models to be developed and deployed to better protect the health and safety of citizens.

CCS concepts

Computer systems organization → Embedded systems; Real- time systems; • Computing methodologies → Modeling and simu- lation; • Applied computing → Physical sciences and engineering.

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来源期刊
CiteScore
13.30
自引率
7.40%
发文量
111
审稿时长
32 days
期刊介绍: Computers, Environment and Urban Systemsis an interdisciplinary journal publishing cutting-edge and innovative computer-based research on environmental and urban systems, that privileges the geospatial perspective. The journal welcomes original high quality scholarship of a theoretical, applied or technological nature, and provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations. Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of environmental and urban systems, their spatial scope and their dynamics.
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