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Novel Spectral Imaging Instrumentation for Environmental Sensing in Extreme Environments.

用于极端环境中环境传感的新型光谱成像仪器。

基本信息

批准号：
2117397
负责人：
金额：
--
依托单位：
University of Sheffield
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2018
资助国家：
英国
起止时间：
2018 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2117397
关键词：
Novel Spectral Imaging Instrumentation Environmental

项目摘要

This project aims to develop novel optoelectronic instrumentation, with a focus on hyperspectral imaging, to enable data collection in extreme environmental settings, such as those found at glaciers and volcanoes. In recent years there has been a significant uptake of field deployable hyperspectral imaging within a number of environmental monitoring fields, however, there still remains a considerable lack of low-cost field deployable technologies across more extreme environmental settings. Existing hyperspectral cameras available today can cost anywhere between £30,000 and £150,000, which severely limits their user base. This lack of affordable instrumentation presents a significant problem for the continued advancement of environmental monitoring, leading to a lack of data to inform our understanding of underlying processes in these more extreme environmental settings. However, the recent increase in the availability of low-cost consumer market technologies provides an exciting opportunity to revolutionise data acquisition methods in these fields. This research, therefore, aims to provide a significant improvement to current sensing technologies in these environments by introducing accessible low-cost, miniaturised alternatives to the currently existing monitoring methods. This will be accomplished with the completion of the following objectives;Development and construction of a low-cost miniaturised hyperspectral imager from commercially available components that is capable of laboratory-based sensing applications. This will involve the development of novel software for imager operation, data analysis, and user input, as well as the appropriate selection of suitable commercial hardware components. Building on this, the hyperspectral imager design will be ruggedized and adapted to allow for field-based deployment, with a particular focus on its successful adaptation to more extreme environments to improve the accessibility of hyperspectral sensing techniques in these domains. To implement this, further software developments will be required to allow it to function as a stand-alone device, and physical alterations to the device housing, e.g. Weather-proofing, will be required to make the set-up suitable for prolonged exposed deployments.This ruggedized device will be deployed to a variety of extreme environment settings, such as southern Italy, and Iceland, for volcanic and glaciological settings respectively, allowing for the capture of valuable datasets, for example resolving key absorption features relevant to the interaction of radiation with snow/ice surfaces (mineral dust, black carbon etc.), which are highly relevant to melt and radiative transfer dynamics. The acquisition of these datasets provides an opportunity to demonstrate the abilities of these low-cost set-ups whilst also acquiring datasets that will yield novel process understanding in these environments.Investigate the potential for further miniaturisation and drone deployment with the inclusion of smartphone technologies. The processing power afforded by state-of-the-art smartphone technologies could provide further novel improvements to low-cost, miniaturised data acquisition and would, therefore, be of substantial benefit to a wide range of monitoring applications. This project aims to look into the potential for integration of these components within low-cost hyperspectral imaging set-ups.These low-cost hyperspectral imagers have considerable applicability to a variety of measurement applications, including extreme environment monitoring, point-of-care applications, and food quality inspection, therefore, there is considerable potential for future commercialisation. Furthermore, given the significant cost reductions associated with these technologies, these outputs are anticipated to be of significant impact in applied physics and/or metrology fields.

该项目旨在开发新型光电仪器，重点是高光谱成像，以便能够在极端环境中收集数据，例如在冰川和火山中发现的数据。近年来，在许多环境监测领域，可现场部署的高光谱成像技术得到了大量应用，但在更极端的环境条件下，仍相当缺乏低成本的可现场部署技术。目前现有的高光谱相机的价格在3万到15万英镑之间，这严重限制了它们的用户群。这种负担得起的仪器的缺乏对环境监测的持续发展提出了一个重大问题，导致缺乏数据来告知我们在这些更极端的环境设置中的基本过程的理解。然而，最近低成本消费市场技术的可用性增加，为这些领域的数据采集方法带来了令人兴奋的革命性机会。因此，这项研究的目的是通过引入可访问的低成本，简化的替代方案，以目前现有的监测方法，在这些环境中提供一个显着的改进，目前的传感技术。这将通过完成以下目标来实现：从能够进行实验室传感应用的商用组件开发和建造低成本的超光谱成像仪。这将涉及开发用于成像仪操作、数据分析和用户输入的新型软件，以及适当选择合适的商业硬件组件。在此基础上，将对高光谱成像仪设计进行加固和调整，以允许实地部署，特别注重其成功适应更极端的环境，以提高高光谱传感技术在这些领域的可及性。为了实现这一点，将需要进一步的软件开发，使其能够作为一个独立的设备运行，并需要对设备外壳进行物理改造，例如防风雨，以使其设置适合长期暴露的部署。这种坚固的设备将部署到各种极端环境中，例如意大利南部和冰岛，分别用于火山和冰川环境，允许捕获有价值的数据集，例如解析与辐射与雪/冰表面（矿物粉尘、黑碳等）的相互作用相关的关键吸收特征，这与熔化和辐射传递动力学高度相关。这些数据集的获取提供了一个机会来展示这些低成本设置的能力，同时也获得了将在这些环境中产生新的过程理解的数据集。研究包括智能手机技术在内的进一步智能化和无人机部署的潜力。最先进的智能手机技术所提供的处理能力可以为低成本、数字化数据采集提供进一步的新改进，因此，对广泛的监测应用具有重大益处。该项目旨在研究将这些组件集成到低成本高光谱成像装置中的潜力。这些低成本高光谱成像仪具有相当大的适用性，可用于各种测量应用，包括极端环境监测，护理点应用和食品质量检测，因此，未来商业化的潜力相当大。此外，鉴于这些技术可大幅降低成本，预计这些产出将对应用物理和/或计量领域产生重大影响。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Novel spectral imaging instrumentation for environmental sensing in extreme environments

用于极端环境下环境传感的新型光谱成像仪器

DOI：
发表时间：
2022
期刊：
影响因子：
0
作者：
Stuart Mary Barbara
通讯作者：
Stuart Mary Barbara

High-Resolution Hyperspectral Imaging Using Low-Cost Components: Application within Environmental Monitoring Scenarios.

使用低成本组件的高分辨率高光谱成像：在环境监测方案中的应用。

DOI：
10.3390/s22124652
发表时间：
2022-06-20
期刊：
SENSORS
影响因子：
3.9
作者：
Stuart, Mary B.;Davies, Matthew;Hobbs, Matthew J.;Pering, Tom D.;McGonigle, Andrew J. S.;Willmott, Jon R.
通讯作者：
Willmott, Jon R.

Low-Cost Hyperspectral Imaging with A Smartphone.

DOI：
10.3390/jimaging7080136
发表时间：
2021-08-05
期刊：
Journal of imaging
影响因子：
3.2
作者：
Stuart MB;McGonigle AJS;Davies M;Hobbs MJ;Boone NA;Stanger LR;Zhu C;Pering TD;Willmott JR
通讯作者：
Willmott JR

Image Correction and In Situ Spectral Calibration for Low-Cost, Smartphone Hyperspectral Imaging