SBIR Phase I: Air Quality Analysis by Unmanned Aerial Vehicles

SBIR 第一阶段：无人机空气质量分析

• 批准号: 1842686
• 负责人: Usman Hafeez
• 金额: $ 22.47万
• 依托单位: Kaizen Technologies, Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-02-01 至 2021-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1842686&HistoricalAwards=false
• 关键词: SBIR; Phase; Air; Quality; Analysis

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project will be to bring to the market a faster and cheaper means of gathering highly accurate local air quality. This will be done through the use of miniaturization of chemical sensors that are carried by UAVs. Not only will there be technical hurdles that will be overcome through the implementation of this means of gathering data, the use of UAVs in this manner pushes the boundaries of their use in urban areas in a way that has not been done before. The societal and commercial impact will be to reduce cost and time in obtaining air quality at a point in time and space, thereby making air quality measurements less of a financial and technical burden to governments, organizations and corporations. This progress will help ensure that communities can address air quality concerns through the data gathered.This STTR Phase I project proposes to implement a novel means to couple a low-cost technology to detect when chemical components reach a given threshold in the air with the use of Unmanned Aerial Vehicles as a means of delivering the sensors to a specified location. The sensor technology utilizes colorimetric detection of chemicals. Off-the-shelf colorimetric sensors, combined with a unique algorithm, produce color difference maps for toxic industrial chemicals at their permissible exposure level (PEL) concentrations. The objective of the research is to determine if the proposed approach will allow for accurate chemical sensing for a precise location. It is anticipated that the technology to be utilized will allow for an accurate capture of a broad range of pollutants and chemical compounds along with concentration levels.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.

这项小型企业创新研究（SBIR）项目的更广泛的影响/商业潜力将是为市场带来更快，更便宜的方法，以收集高度准确的当地空气质量。 这将通过使用无人机携带的化学传感器的微型化来完成。 不仅会通过实施这种收集数据的方法来克服技术障碍，以这种方式使用无人机会以以前从未做过的方式来推动其在城市地区使用的边界。 社会和商业影响将是减少在时间和空间获得空气质量的成本和时间，从而使空气质量测量减少给政府，组织和公司的财务和技术负担。 这一进展将有助于确保社区可以通过收集的数据解决空气质量的问题。该STTR I阶段项目提议实施一种新颖的手段，以将低成本的技术融合到何时化学成分何时使用无人驾驶飞机作为将传感器提供给特定位置的手段的手段。 传感器技术利用化学物质的比色检测。 现成的比色法传感器与独特的算法相结合，在其允许的暴露水平（PEL）浓度下为有毒工业化学物质产生色差图。 该研究的目的是确定所提出的方法是否允许精确位置进行准确的化学感测。 预计要使用的技术将允许准确捕获广泛的污染物和化合物以及集中度。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的智力优点和更广泛的影响来通过评估来支持的。