SBIR Phase II: High Resolution Environmental Sensing Using Nanodrones

SBIR 第二阶段：使用纳米无人机进行高分辨率环境传感

• 批准号: 2233583
• 负责人: James Peverill
• 金额: $ 94.07万
• 依托单位: GREENSIGHT AGRONOMICS, INC.
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2233583&HistoricalAwards=false
• 关键词: SBIR; Phase; II; Resolution; Environmental

The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is enabling enhanced prediction of severe weather formation to a timing resolution of hours instead of days. Improved weather predictions have a significant impact on people’s lives, allowing for better planning, proactive evacuations, and reducing deaths, injuries and property damage, especially in vulnerable populations. With climatologists predicting dramatic increases in damaging and dangerous severe weather over the next decades, accurate prediction of severe weather is even more critical. This project will launch a robotics-as-a-service business around the technology which can rapidly reach sustainability, generating economic impacts while providing significant environmental, scientific, and societal benefits. As the technology matures and becomes more widespread, entirely novel analysis and predictive models will be developed around the data being produced, unlocking even higher value economic insights for insurance, energy, financial, and transportation industries.The part of the atmosphere from the ground up to about 3,000 feet is called the atmospheric boundary layer. This area is difficult to monitor but has a huge impact on gas, heat, and energy exchange between the earth and the atmosphere. This project enables better monitoring and understanding of this area, unlocking scientific, logistical, and policy advancements that will drive new innovations in climate, environmental, and weather science with high impact on humanity. The proposed technology enables gathering high spatial and temporal resolution atmospheric data with a swarm of synchronized sampling aircrafts. The swarm system will use lightweight design approaches and proprietary optimization techniques for portability, swarm capability, flight endurance, and low cost. Using automation and robotics, including remote operational support, this project will enable data that can potentially be deployed globally to be gathered in a scalable and low-cost manner.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.

该项目的更广泛/商业化的影响使人们对天气的预测能够提高时间，而不是天气改善的天气预测会对人们的生活产生重大影响，从而使人们的生活有重大影响，尤其是在弱势群体中，在接下来的几十年中，Ramatic会增加危险和危险的严重性 - 随着该技术的重要性，随着技术的增长，该技术围绕该技术的服务越来越多。广泛的，完全新颖的分析和预测的围绕您的数据产生，为保险，能源，财务和运输行业提供了更高的价值见解区域是监测的，但对大气之间的气体，热量和能量交换产生了巨大影响。对人类的影响很高，提议的技术会以同步的放大飞机来收集高空间和时间分辨率。该项目包含远程操作支持，将启用可能部署Glolly的数据，以可扩展和低成本的方式成为面包。该奖项反映了NSF的NSF'SF'STUTUTORY MISSION基金会的智力优点和更广泛的影响评论标准。