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.

该小企业创新研究 (SBIR) 项目的更广泛影响/商业潜力将为市场带来一种更快、更便宜的方式来收集高精度的当地空气质量。 这将通过使用无人机携带的小型化化学传感器来完成。 通过实施这种收集数据的方式不仅会克服技术障碍，而且以这种方式使用无人机也以前所未有的方式突破了其在城市地区的使用界限。 社会和商业影响将是减少在某个时间和空间点获取空气质量的成本和时间，从而减轻空气质量测量给政府、组织和企业带来的财务和技术负担。 这一进展将有助于确保社区能够通过收集的数据解决空气质量问题。 STTR 第一阶段项目建议实施一种新颖的方法，结合低成本技术来检测空气中的化学成分何时达到给定阈值，并使用无人机将传感器运送到指定位置。 该传感器技术利用化学物质的比色检测。 现成的比色传感器与独特的算法相结合，可以生成有毒工业化学品在允许暴露水平 (PEL) 浓度下的色差图。 该研究的目的是确定所提出的方法是否能够对精确位置进行准确的化学传感。 预计所使用的技术将能够准确捕获各种污染物和化合物以及浓度水平。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。