Advanced Intelligent Systems launches UV light disinfection robot

先进智能系统推出紫外线消毒机器人

2021-07-27 03:00:25 Roboticstrends

本文共928个字,阅读需3分钟

Advanced Intelligent Systems (AIS), a Canadian custom robotics engineering firm, has launched an ultraviolet light robot to destroy harmful bacteria and viruses in healthcare facilities and combat the spread of infectious diseases in public spaces. The development was made possible by a grant from Next Generation Manufacturing Canada (NGen). Jayson Myers, CEO, NGen, says: “At the onset of the COVID-19 pandemic, NGen rallied industry leaders from across the country to help build a domestic supply of critical equipment. Support for organizations like AIS enabled the rapid development of viable disinfecting solutions and demonstrates the diverse manufacturing and technology capabilities that exist here in Canada.” Afshin Doust, CEO, AIS, says: “NGen’s support was instrumental: indeed, the future of our country’s economy relies on our capacity to be a world leader in developing and commercializing scientific and technological innovations. We must be innovators.” AIS received $975,000 in July 2020 from NGen, to develop the made-in-Canada mobile robot. The Grant represents 50 per cent of the total project cost which was $1.95 million. The pandemic required AIS to work quickly, and using its modular approach to robotics, AIS was able to repurpose its agriculture-focused robot and software products to create Orion, an autonomous UV robot for hands-free cleaning and disinfection using ultraviolet light, in less than two months. Orion eliminates harmful viruses and bacteria to reduce hospital acquired infections and healthcare associated infections in public spaces such as hotels, shopping malls and airports. The robot can map large-scale environments to navigate to interest points, and perform crucial disinfection tasks using ultraviolet light technology to reduce the spread of infectious diseases. Orion is currently being piloted at an international hotel chain with locations in Vancouver’s Lower Mainland, and at Vancouver International Airport. Soon to be deployed commercially, Orion will also help provide critical support to hospitals, senior care facilities and health care workers dealing with health, safety and resource issues during and after the COVID-19 pandemic. “We are very excited to have been able to so quickly develop an alternative to manual cleaning. Our hands-free mobile robot destroys harmful bacteria and viruses, which is so critical now as there is great need for hands-free disinfection to ensure customer safety and confidence, and to manage operational budgets,” says Doust. One of AIS’ advantages which allows the company to deploy its UV disinfection robot in numerous industries – is its modular design. AIS has a variety of modules that are interoperable and exchangeable, and enable greater flexibility for robotics consumers. This is especially key now that there are a number of industries that require a hands-free robotic solution for disinfection of patient rooms and public spaces, and to attract patrons back into hotel common areas and rooms.
加拿大定制机器人工程公司先进智能系统公司(AIS)推出了一种紫外光机器人,用于摧毁医疗保健设施中的有害细菌和病毒,并抗击传染病在公共场所的传播。 这项发展是由加拿大下一代制造公司(NGen)的一笔赠款促成的。 NGen首席执行官杰森·迈尔斯(Jayson Myers)表示:“在新冠肺炎疫情爆发时,NGen召集了全国各地的行业领袖,帮助建立国内关键设备的供应。对AIS等组织的支持使可行的消毒解决方案得以快速开发,并展示了加拿大存在的多样化制造和技术能力。“ AIS首席执行官阿夫辛·杜斯特(Afshin Doust)表示:“NGEN的支持非常重要:事实上,我国经济的未来取决于我们在开发和商业化科技创新方面成为世界领导者的能力。我们必须成为创新者。“ 2020年7月,AIS从NGen获得97.5万美元,用于开发加拿大制造的移动机器人。赠款占项目总费用195万美元的50%。 这场流行病要求AIS迅速工作,利用其机器人技术的模块化方法,AIS能够在不到两个月的时间内重新利用其农业机器人和软件产品,创建Orion,一种使用紫外光进行免提清洁和消毒的自主紫外线机器人。 猎户座消除有害病毒和细菌,以减少医院获得性感染和公共场所如酒店、购物中心和机场的医疗保健相关感染。 该机器人可以绘制大范围环境地图来导航到兴趣点,并使用紫外光技术执行至关重要的消毒任务,以减少传染病的传播。 猎户座目前正在温哥华低大陆和温哥华国际机场的一家国际连锁酒店进行试点。猎户座很快将投入商业部署,它还将帮助为医院、老年护理设施和卫生保健工作者提供关键支持,以处理新冠肺炎疫情期间和之后的健康、安全和资源问题。 “我们非常兴奋能够如此迅速地开发出人工清洁的替代方案。Doust说:“我们的免提移动机器人可以摧毁有害的细菌和病毒,这在现在非常重要,因为需要免提消毒来确保客户的安全和信心,并管理运营预算。” AIS的优势之一是其模块化设计,使该公司能够在众多行业部署其紫外线消毒机器人。AIS具有多种模块,可互操作和可交换,并为机器人消费者提供更大的灵活性。 这一点尤其关键,因为有许多行业需要免提机器人解决方案来消毒病人房间和公共场所,并吸引顾客回到酒店公共区域和房间。

以上中文文本为机器翻译,存在不同程度偏差和错误;偶尔因源网页结构局限,内容无法一次完整呈现。请理解并参考原站原文阅读。

阅读原文