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RAPID: Effective mass spray disinfection using Unmanned Aerial Vehicles (UAVs)

RAPID: Effective mass spray disinfection using Unmanned Aerial Vehicles (UAVs)
RAPID:使用无人机(UAV)进行有效的大规模喷雾消毒
批准号:
2030390
负责人:
Sindy KY Tang
金额:
$20.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-05-15 至 2021-07-31

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中文摘要
翻译
SARS-CoV-2在被污染的物体或表面(称为污染物)上持续很长时间,这可能促进病毒传播。 公共场所表面的有效和高效消毒将在恢复商业、教育、商业和其他重要活动的计划中发挥重要作用。 大规模喷雾消毒目前在多个国家使用无人驾驶飞行器(UAV)。虽然这一策略具有潜在的好处,例如最大限度地减少了对执行消毒的人员的健康风险,以及大规模和快速部署的可能性,但大规模喷雾消毒的有效性,特别是对新冠肺炎的有效性,尚未得到系统的研究。 这个快速项目的目标是确定有效的大规模喷雾消毒策略,并采用无人机来实施这些策略。该项目的成果将提供有效手段,以减缓新冠肺炎以及其他传染病(如,流感),通过拦截经由病原体的病毒传播。该方法有可能被用作医院、学校和其他易受病毒暴露和接触大量人群的公共设施的一般和可扩展的消毒策略。为了确保研究的更广泛的影响和可访问性,所有结果都将在开源档案中提供,以及在专门用于该项目的社交媒体上提供(例如,Facebook、Twitter)。研究人员之间的独特合作为多相流物理、无人机工程和传染病领域的培训和劳动力发展提供了绝佳的机会。污染物是可能被病原体污染的物体或表面。研究指出,污染物是包括医院、学校和办公室在内的一系列环境中病毒传播的重要媒介。SARS-CoV-2已被证明会污染各种多孔和无孔污染物,并可在许多表面上持续数小时至数天。持续时间长表明需要有效的表面消毒来阻断病毒传播和疾病传播。无人机大规模喷雾消毒具有许多优点,包括对大面积和难以到达的区域的高节奏覆盖,以及将执行消毒的人员的健康风险降至最低。然而,这种大规模喷洒战略的有效性所依据的基础科学尚未得到研究。相反,大多数关于表面消毒的先前工作是高度经验性的。本项目将发展对经验结果背后的物理化学理解。该项目旨在解决这些差距,并将确定喷雾参数和基础物理学,以在不同条件下进行有效消毒,设计感知和决策该奖项反映了美国国家科学基金会的法定使命,并通过利用基金会的知识价值和更广泛的知识价值进行评估,被认为值得支持。影响审查标准。
英文摘要
The SARS-CoV-2 persists on contaminated objects or surfaces, referred to as fomites, for long times, which may promote virus spread. Effective and efficient disinfection of surfaces in public spaces will play an important role in plans to resume business, education, commerce, and other important activities. Mass spray disinfection is currently used in multiple countries by employing Unmanned Aerial Vehicles (UAVs). While this strategy has potential benefits, such as the minimization of health risk to personnel performing the disinfection and the potential for large-scale and quick deployments, the effectiveness of mass spray disinfection, especially for Covid-19, has not been systematically examined. The goal of this RAPID project is to identify effective mass spray disinfection strategies for Covid-19, and employ UAVs to implement those strategies. The results of this project will provide effective means to mitigate the spread of Covid-19, as well as other infectious diseases (e.g., influenza), by intercepting virus transmission via fomites. The approach has the potential to be adopted as a general and scalable strategy for sanitization in hospitals, schools, and other public facilities that are susceptible to virus exposure and contact with a large number of people. To ensure the broader impact and accessibility of the research, all results will be available in open-source archives, as well as on social media dedicated to this project (e.g., Facebook, Twitter). The unique collaboration among the researchers provides an excellent opportunity for training and workforce development at the interface of multiphase flow physics, UAV engineering, and infectious diseases.Fomites are objects or surfaces that can become contaminated with a pathogen. Studies have cited fomites as significant vectors for virus transmission in a range of environments including hospitals, schools, and offices. SARS-CoV-2 has been shown to contaminate a wide range of porous and nonporous fomites, and can persist on many surfaces for extended periods of time from a few hours to days. The long persistence time indicates the need for effective surface disinfections to intercept virus transmission and the spread of the disease. Mass spray disinfection from Unmanned Aerial Vehicles (UAVs) has many advantages including the high-tempo coverage of large and difficult-to-reach areas, and the minimization of health risks to personnel performing the disinfection. Nevertheless, the basic science that underlies the effectiveness of such mass spray strategies has not been examined. Instead, most prior work on surface disinfection is highly empirical. This project will develop a physicochemical understanding behind the empirical results. The project aims to address these gaps, and will determine the spray parameters and the underlying physics for effective disinfection under different conditions, and devise perception and decision-making algorithms that allow a UAV equipped with programmable sprayers to implement the spray strategies identified.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.
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