MRI: Development of an Integrated Gas Monitoring and Source Identification Unmanned Aircraft System for Exploration, Compliance and Assessment
MRI: Development of an Integrated Gas Monitoring and Source Identification Unmanned Aircraft System for Exploration, Compliance and Assessment
批准号:
1532007
负责人:
Ahmed Mahdy
金额:
$54.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2021-08-31
中文摘要
该项目旨在开发一种集成的气体监测和来源识别无人机系统(UAS),旨在探索、检查环境合规性,并评估关键活动,从而在UAS和传感器技术的新兴发展中实现广泛的适当的多学科和跨学科活动。这些活动满足了区域和国家石油和天然气行业的需求。天然气勘探、环境合规和评估是能源行业的关键活动。用于探测陆地和水体排放的新型传感器技术提高了探测气体和通量(如氦、甲烷、二氧化碳和石油)的能力。不幸的是,由于操作、部署和有效性问题,能源行业和监管机构对这些技术在天然气勘探和来源识别中的应用有限。提出的仪器通过在无人机上集成先进的气体传感和成像(SAR和EO-IR)技术来解决这些问题。该仪器具有灵活的操作和配置,可以在空中平台上快速部署,可以轻松地测量大面积和偏远地区。基于无人机的仪器能够实现预定的测量任务,并基于组合的地理编码成像嗅探数据提供更有效的检测,这些数据以用户友好的格式呈现,包括覆盖地图。该仪器将使能源行业能够为高效和具有成本效益的勘探、环境合规和评估做出明智的决策,并为研究和学术界提供一个新颖有效的传感平台。该机构位于社会经济和教育孤立的地区,拥有美国联邦航空管理局(FAA)六个测试点之一,即Lone Star UAS卓越与创新中心(LSUASC)。此外,该机构致力于通过加强基础设施、师资和奖学金,在这些关键领域扩大hsi的研究和学术。该仪器促进了该地区的社会和经济发展,使研究人员能够充分利用该中心、RCN CE3SAR和海湾地区工业提供的更多机会。该项目扩大了参与范围,并为大量代表性不足的学生提供了研究和培训机会)。
英文摘要
This project, developing an integrated gas monitoring and source identification unmanned aircraft system (UAS), aims to explore, check environmental compliance, and assess critical activities to enable a wide range of appropriate multi- and inter-disciplinary activities with emerging developments in UAS and sensor technologies. These activities address regional and national oil and gas industry needs. Gas exploration and environmental compliance and assessment are critical activities for the energy industry. New sensor technologies for detecting emissions from land and water have improved the ability to detect gases and flux (such as helium, methane, carbon dioxide, and oil). Unfortunately, use of these technologies in gas exploration and source identification by the energy industry and regulatory agencies is limited (due to operation, deployment and effectiveness issues). The proposed instrument addresses these issues by integrating advanced gas sensing and imagery (SAR and EO-IR) technologies on a UAS. The instrument features flexible operation and configuration on an aerial platform that can be rapidly deployed and can easily survey large and remote areas. The UAS-based instrument enables predetermined surveying missions and provides a more effective detection based on a combined geocoded imaging-sniffing data that is presented in a user friendly format including overlay maps. The instrument will enable the - Energy industry to make well-informed decisions for efficient and cost-effective exploration, environmental compliance and assessment, and - Research and academic community with a novel and effective sensing platformThe institution, located in a socio-economically and educationally isolated region, has one of the six Federal Aviation Administration (FAA) test sites in the nation, the Lone Star UAS Center of Excellence and Innovation (LSUASC). Moreover, the institution is committed to expanding research and academics among HSIs in these critical fields by enhancing infrastructure, faculty, and scholarship. This instrumentation promotes the social and economic development for the region enabling researchers to capitalize in the expanded opportunities offered by the center, RCN CE3SAR and industries in the Gulf. The project broadens the participation of and provides research and training opportunities for a large number of underrepresented students).
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会议论文
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
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批准号:32070202
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项目类别:面上项目
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资助金额:58.0万元
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批准年份:2020
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负责人:汪泉
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依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位: