NSF Convergence Accelerator Track L: UAV-assisted dual-comb spectroscopic detection, localization, and quantification of multiple atmospheric trace-gas emissions
NSF 收敛加速器轨道 L:无人机辅助的双梳光谱检测、定位和多种大气痕量气体排放的量化
基本信息
- 批准号:2344395
- 负责人:
- 金额:$ 65万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2024
- 资助国家:美国
- 起止时间:2024-01-15 至 2024-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Detecting chemical gas plumes is important for monitoring air quality. This project addresses the challenging problem of detecting, localizing and quantifying gas emissions and detecting sources. The novel chemical sensing technology developed under this research project will provide a three-dimensional (3D) localization of airborne chemicals, creating maps to address a broad variety of trace-gas sensing applications of high societal importance. Applications include the monitoring of greenhouse gas (e.g. from landfills, wastewater treatment plants, agriculture, or other industries), monitoring of farming environments to enrich yield, measuring exposure to toxic air pollution in communities located near industrial zones, or real-time assessment of disaster zones to provide actionable information to first responders. In addition to the technological and commercial impact, the project represents a unique mixture of fundamental physics, engineering, applied mathematics and optics, and will provide training for students at every level of educational ladder, thus contributing strongly to the development of a diverse and globally competitive STEM workforce in the US.To address the challenging problem of detecting, localizing and quantifying gas plumes of multiple volatile chemicals, an innovative laser sensing technology platform that offers 3D spatial concentration mapping is proposed. This technology will employ a novel dual-comb spectroscopic (DCS) sensor system based on chip-scale semiconductor quantum cascade laser frequency combs (QCL-FCs) operating in the mid-infrared molecular fingerprint spectral region. These new lasers sources provide both broadband mid-infrared coverage required for multi-species detection, and ultra‐high spectral resolution the enables high chemical selectivity. The QCL-DCS system will be configured into a retroreflector-based optical remote sensing system integrated with novel robotic capabilities provided by lightweight unmanned aerial vehicles (UAVs), and coupled with advanced atmospheric fluid dynamics models to synergistically provide a powerful sensing platform that enables 3D tomographic localization of multiple chemical sources over large areas. Ultimately, the proposed UAV-assisted QCL-DCS sensing platform will be optimized for rapid deployments and will achieve cost-efficiency via scalable semiconductor manufacturing and large deployment footprints, offering qualities that are highly desired in both commercial and government sectors.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
检测化学气羽对于监测空气质量很重要。该项目解决了检测,本地化和量化气体排放和检测来源的挑战问题。在该研究项目下开发的新型化学敏感性技术将提供空中化学物质的三维(3D)定位,从而创建地图来解决广泛的社会重要性的痕量气体传感应用。应用包括监测温室气(例如,从垃圾填埋场,废水处理厂,商定或其他行业进行监测),监测农业环境以丰富产量,衡量位于工业区附近社区的有毒空气污染的暴露,或者对灾难区域的实时评估,以向急救人员提供可行的信息。除了技术和商业影响外,该项目还代表着基本物理,工程,应用数学和光学的独特混合,并将为每个级别的教育阶梯的学生提供培训,从而有助于多样性和全球竞争性的STEM劳动力在美国的发展,以解决跨度的质量工艺,量身定量的质量,量身定量,量化了多数VOL的质量,可以实现多样化的化学效果,量身定量的质量综合型,综合元素,综合元素,综合元素,构成了众多的元素,这些问题是众多的,这些劳动力是众多的,这些劳动力是众多的,综合化学量,构成了多种多样的工具,众所周知的综合型劳动力均可解决多样性的劳动力。提出了提供3D空间浓度映射的。该技术将采用基于Chip尺度的半导体量子级联激光频率梳(QCL-FC)采用新型的双弯曲光谱(DCS)传感器系统。这些新的激光器源既提供了多物种检测所需的宽带中印境覆盖范围,又提供了超高光谱分辨率,可以使高化学选择性。 QCL-DCS系统将被配置为基于反向反射器的光学遥感系统,该系统与轻型无人驾驶汽车(UAVS)提供的新型机器人功能集成在一起,并与先进的大气流体动力学模型相结合,同步提供强大的灵敏度平台,可提供强大的敏感性平台,使3D Tomographic Enagrography aftery tomographic of Movery Ancore Incors and activences of Byter actives of Brote accoprication。最终,拟议的无人机QCL-DCS感应平台将用于快速部署,并通过可扩展的半导体制造和大型部署足迹来实现成本效益,提供在商业和政府部门中高度渴望的质量。这一奖项反映了NSF的法定任务和审查的良好的构成诚实的构成诚实的构成,并构成了稳定的构成。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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数据更新时间:2024-06-01
Gerard Wysocki其他文献
Kinetics and Mechanism of the Singlet Oxygen Atom Reaction with Dimethyl Ether.
单线态氧原子与二甲醚反应的动力学和机理。
- DOI:10.1021/acs.jpclett.4c0090710.1021/acs.jpclett.4c00907
- 发表时间:20242024
- 期刊:
- 影响因子:0
- 作者:Hongtao Zhong;Qinghui Meng;Bowen Mei;A. Thawko;Chao Yan;Ning Liu;Xingqian Mao;Ziyu Wang;Gerard Wysocki;D. Truhlar;Yiguang JuHongtao Zhong;Qinghui Meng;Bowen Mei;A. Thawko;Chao Yan;Ning Liu;Xingqian Mao;Ziyu Wang;Gerard Wysocki;D. Truhlar;Yiguang Ju
- 通讯作者:Yiguang JuYiguang Ju
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Gerard Wysocki的其他基金
ERC - Small Business: Remote chemical sensing instrumentation based on chirped laser dispersion spectroscopy
ERC - 小型企业:基于啁啾激光色散光谱的远程化学传感仪器
- 批准号:11282821128282
- 财政年份:2011
- 资助金额:$ 65万$ 65万
- 项目类别:Standard GrantStandard Grant
CAREER: Coherent Mid-Infrared Molecular Dispersion Spectroscopy for Ultra-Sensitive Chemical Detection
职业:用于超灵敏化学检测的相干中红外分子色散光谱
- 批准号:09548970954897
- 财政年份:2010
- 资助金额:$ 65万$ 65万
- 项目类别:Standard GrantStandard Grant
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Landau方程和Vlasov-Poisson-Boltzmann方程组解的适定性和收敛率的研究
- 批准号:12301284
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
Hamilton-Jacobi方程粘性解在扰动下的收敛性
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面向无线联邦学习的三层规划异步优化算法及收敛率研究
- 批准号:12371519
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- 资助金额:44.00 万元
- 项目类别:面上项目
深度神经网络的收敛性理论
- 批准号:12371103
- 批准年份:2023
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