全息空气质量监测仪(HAM)

IF 4.3 2区 环境科学与生态学 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Indoor air Pub Date : 2024-10-23 DOI:10.1155/2024/2210837
Nicholas Bravo-Frank, Lei Feng, Jiarong Hong
{"title":"全息空气质量监测仪(HAM)","authors":"Nicholas Bravo-Frank,&nbsp;Lei Feng,&nbsp;Jiarong Hong","doi":"10.1155/2024/2210837","DOIUrl":null,"url":null,"abstract":"<p>We introduce the holographic air-quality monitor (HAM) system, uniquely tailored for monitoring large particulate matter (PM) over 10 <i>μ</i>m in diameter—particles critical for disease transmission and public health but overlooked by most commercial PM sensors. The HAM system utilizes a lensless digital inline holography (DIH) sensor combined with a deep learning model, enabling real-time detection of PMs with greater than 97% true positive rate at less than 0.6% false positive rate and analysis of PMs by size and morphology at a sampling rate of 26 L/min for a wide range of particle concentrations up to 4000 particles/L. Such throughput not only significantly outperforms traditional imaging-based sensors but also rivals some lower-fidelity, nonimaging sensors. Additionally, the HAM system is equipped with additional sensors for smaller PMs and various air quality conditions, ensuring a comprehensive assessment of indoor air quality. The performance of the DIH sensor within the HAM system was evaluated through comparison with brightfield microscopy, showing high concordance in size and morphology measurements. The efficacy of the DIH sensor was also demonstrated in two 2-h experiments under different environments simulating practical conditions, with one involving distinct PM-generating events. These tests highlighted the HAM system’s advanced capability to differentiate PM events from background noise and its exceptional sensitivity to irregular, large-sized PMs of low concentration.</p>","PeriodicalId":13529,"journal":{"name":"Indoor air","volume":"2024 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2210837","citationCount":"0","resultStr":"{\"title\":\"Holographic Air-Quality Monitor (HAM)\",\"authors\":\"Nicholas Bravo-Frank,&nbsp;Lei Feng,&nbsp;Jiarong Hong\",\"doi\":\"10.1155/2024/2210837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We introduce the holographic air-quality monitor (HAM) system, uniquely tailored for monitoring large particulate matter (PM) over 10 <i>μ</i>m in diameter—particles critical for disease transmission and public health but overlooked by most commercial PM sensors. The HAM system utilizes a lensless digital inline holography (DIH) sensor combined with a deep learning model, enabling real-time detection of PMs with greater than 97% true positive rate at less than 0.6% false positive rate and analysis of PMs by size and morphology at a sampling rate of 26 L/min for a wide range of particle concentrations up to 4000 particles/L. Such throughput not only significantly outperforms traditional imaging-based sensors but also rivals some lower-fidelity, nonimaging sensors. Additionally, the HAM system is equipped with additional sensors for smaller PMs and various air quality conditions, ensuring a comprehensive assessment of indoor air quality. The performance of the DIH sensor within the HAM system was evaluated through comparison with brightfield microscopy, showing high concordance in size and morphology measurements. The efficacy of the DIH sensor was also demonstrated in two 2-h experiments under different environments simulating practical conditions, with one involving distinct PM-generating events. These tests highlighted the HAM system’s advanced capability to differentiate PM events from background noise and its exceptional sensitivity to irregular, large-sized PMs of low concentration.</p>\",\"PeriodicalId\":13529,\"journal\":{\"name\":\"Indoor air\",\"volume\":\"2024 1\",\"pages\":\"\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2024/2210837\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indoor air\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1155/2024/2210837\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indoor air","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2024/2210837","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

我们推出了全息空气质量监测器(HAM)系统,该系统是为监测直径超过 10 μm 的大颗粒物(PM)量身定制的,这些颗粒物对疾病传播和公共卫生至关重要,但却被大多数商用 PM 传感器所忽视。HAM 系统采用了无镜头数字在线全息(DIH)传感器,并结合了深度学习模型,能够以低于 0.6% 的假阳性率和高于 97% 的真阳性率对可吸入颗粒物进行实时检测,并以 26 升/分钟的采样率在高达 4000 颗粒/升的颗粒浓度范围内按颗粒大小和形态对可吸入颗粒物进行分析。这样的吞吐量不仅大大超过了传统的成像传感器,还可与一些保真度较低的非成像传感器相媲美。此外,HAM 系统还配备了额外的传感器,用于检测更小的可吸入颗粒物和各种空气质量条件,确保对室内空气质量进行全面评估。通过与明视野显微镜的比较,对 HAM 系统中 DIH 传感器的性能进行了评估,结果显示尺寸和形态测量结果高度一致。DIH 传感器的功效还在模拟实际条件的不同环境下进行的两次 2 小时实验中得到了证明,其中一次实验涉及不同的 PM 生成事件。这些测试凸显了 HAM 系统从背景噪声中区分可吸入颗粒物事件的先进能力,以及对不规则、大尺寸、低浓度可吸入颗粒物的超强灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Holographic Air-Quality Monitor (HAM)

Holographic Air-Quality Monitor (HAM)

We introduce the holographic air-quality monitor (HAM) system, uniquely tailored for monitoring large particulate matter (PM) over 10 μm in diameter—particles critical for disease transmission and public health but overlooked by most commercial PM sensors. The HAM system utilizes a lensless digital inline holography (DIH) sensor combined with a deep learning model, enabling real-time detection of PMs with greater than 97% true positive rate at less than 0.6% false positive rate and analysis of PMs by size and morphology at a sampling rate of 26 L/min for a wide range of particle concentrations up to 4000 particles/L. Such throughput not only significantly outperforms traditional imaging-based sensors but also rivals some lower-fidelity, nonimaging sensors. Additionally, the HAM system is equipped with additional sensors for smaller PMs and various air quality conditions, ensuring a comprehensive assessment of indoor air quality. The performance of the DIH sensor within the HAM system was evaluated through comparison with brightfield microscopy, showing high concordance in size and morphology measurements. The efficacy of the DIH sensor was also demonstrated in two 2-h experiments under different environments simulating practical conditions, with one involving distinct PM-generating events. These tests highlighted the HAM system’s advanced capability to differentiate PM events from background noise and its exceptional sensitivity to irregular, large-sized PMs of low concentration.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Indoor air
Indoor air 环境科学-工程:环境
CiteScore
10.80
自引率
10.30%
发文量
175
审稿时长
3 months
期刊介绍: The quality of the environment within buildings is a topic of major importance for public health. Indoor Air provides a location for reporting original research results in the broad area defined by the indoor environment of non-industrial buildings. An international journal with multidisciplinary content, Indoor Air publishes papers reflecting the broad categories of interest in this field: health effects; thermal comfort; monitoring and modelling; source characterization; ventilation and other environmental control techniques. The research results present the basic information to allow designers, building owners, and operators to provide a healthy and comfortable environment for building occupants, as well as giving medical practitioners information on how to deal with illnesses related to the indoor environment.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信