Design and Development of Autonomous Disinfecting Embedded Systems for COVID-19

COVID-19 自主消毒嵌入式系统的设计和开发

• 批准号: 554334-2020
• 负责人: Azim, Akramul
• 金额: $ 3.64万
• 依托单位: University of Ontario Institute of Technology
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=705343
• 关键词: Design; Development; Autonomous; Disinfecting; Embedded

One of the major challenges during the COVID-19 pandemic is frequent disinfecting. This is very critical for places like hospitals and long term care. In most places, human operators perform the cleaning but it may cause them infected with the virus because of the shortages of personal protective equipment (PPE) and many of the unknowns of COVID-19. Cyberworks Robotics has industry-grade autonomous cleaning machines that can be very useful to deal-with COVID-19. The goal of this project is to improve Cyberworks Robotics technology on existing (a) floor disinfection machines (e.g. wet floor scrubbers) of various types used in hospitals, (b) high-intensity UV disinfection machines, and (c) chemical mist disinfection machines. In this collaboration, we aim to investigate to (a) increase the number of models of disinfection systems to which our add-on technology is compatible, and (b) increase the performance specifications of the core add-on navigation technology itself. This improvement would allow hospitals to disinfect the hospital surfaces on a more frequent basis than is possible with human cleaners and also simultaneously to increase the quality of cleaning by ensuring that some surfaces are not missed due to human error and neglect.

新冠肺炎大流行期间的一大挑战是频繁消毒。这对医院和长期护理等场所非常关键。在大多数地方，清洁工作由操作员进行，但由于缺乏个人防护装备(PPE)和新冠肺炎的许多未知因素，这可能会导致他们感染病毒。CyberWorks Robotics拥有工业级自动清洗机，在与新冠肺炎打交道时非常有用。这个项目的目标是改进现有(A)医院使用的各种类型的地板消毒机(例如湿式地板擦洗机)、(B)高强度紫外线消毒机和(C)化学雾化消毒机的Cyberworks Robotics技术。在这次合作中，我们的目标是(A)增加与我们的附加技术兼容的消毒系统的型号数量，以及(B)提高核心附加导航技术本身的性能规格。这一改进将使医院能够比使用人类清洁工更频繁地对医院表面进行消毒，同时还可以通过确保某些表面不会因人为错误和疏忽而被遗漏，从而提高清洁质量。