用于COVID-19恢复的WiFi-based群组监控和工作空间规划
WiFi-based Crowd Monitoring and Workspace Planning for COVID-19 Recovery
摘要：
COVID-19疫情的恢复阶段需要仔细规划和监测，同时人们逐渐恢复工作。物联网（IoT）被广泛认为是帮助许多地区和社会抗击COVID-19大流行的重要工具。特别是，物联网解决方案捕获的异构数据可以为政策制定和对社区事件的快速响应提供信息。本文介绍了一种新的物联网人群监控解决方案，该解决方案使用软件定义网络（SDN）辅助的WiFi接入点作为24/7传感器来监控和分析物理空间的使用情况。原型和人群行为模型是使用在大学校园中捕获的超过5亿条记录开发的。除了支持机构一级的知情决定外，访问者个人还可以使用这些结果来计划或安排他们对设施的访问。
英文摘要：
The recovery phase of the COVID-19 pandemic requires careful planning and monitoring while people gradually return to work. Internet-of-Things (IoT) is widely regarded as a crucial tool to help combating COVID-19 pandemic in many areas and societies. In particular, the heterogeneous data captured by IoT solutions can inform policy making and quick responses to community events. This article introduces a novel IoT crowd monitoring solution which uses software defined networks (SDN) assisted WiFi access points as 24/7 sensors to monitor and analyze the use of physical space. Prototypes and crowd behavior models are developed using over 500 million records captured on a university campus. Besides supporting informed decision at institution level, the results can be used by individual visitors to plan or schedule their access to facilities.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
