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.

在Covid-19大流行期间的主要挑战之一是经常进行消毒。对于医院和长期护理等地，这是至关重要的。在大多数地方，人类操作员进行清洁，但由于个人保护设备（PPE）和Covid-19的许多未知数，可能会导致他们感染该病毒。 Cyber​​works Robotics拥有行业级的自动清洁机，对于与Covid-19的交易非常有用。 该项目的目的是在医院使用的各种类型的现有（例如湿地板洗涤器）上改善（a）地板消毒机（例如湿地板洗涤器），（b）高强度紫外线消毒机和（c）化学雾雾消毒机。在这项合作中，我们旨在调查（a）增加与我们的附加技术兼容的消毒系统模型的数量，以及（b）增加核心附加导航技术本身的性能规范。这种改进将使医院能够比人类清洁剂更频繁地对医院表面进行消毒，并同时通过确保由于人为错误和忽视而不会错过某些表面，从而提高清洁质量。