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RnMonitor: a WebGIS-based platform for expedite in situ deployment of IoT edge devices and effective Radon Risk Management

机译:RnMonitor:基于WebGIS的平台,可加快IoT边缘设备的原位部署和有效的Radon风险管理

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IoT-based monitoring (i.e. smart monitoring) technologies have been recently used for on-line monitoring in many application fields, such as home, environmental and industrial process monitoring. People spend at least half of their life inside buildings, therefore, Indoor Air Quality (IAQ) plays an important role both on human health and on buildings’ sustainability. Radon gas is one of the most important parameters regarding IAQ assessment, being considered by the World Health Organization (WHO) as the second largest risk factor associated with lung cancer. This paper aims to present RnMonitor, a WebGIS-based platform developed for effective Radon Risk Management and expedite in situ deployment of IoT-based sensors. Given the fact that the spatial context is key for visual and data analytics, the proposed platform takes advantage of a hierarchy of spatially related entities (buildings/rooms/devices) that are natively georeferenced in the system, and thus providing spatial context to acquired data, and other relevant metrics, by means of a simple, responsive and intuitive web-based application.
机译:最近,基于物联网的监视(即智能监视)技术已用于许多应用领域的在线监视,例如家庭,环境和工业过程监视。人们至少将一生的时间都花在建筑物内,因此,室内空气质量(IAQ)对人类健康和建筑物的可持续性都起着重要作用。气是有关IAQ评估的最重要参数之一,被世界卫生组织(WHO)视为与肺癌相关的第二大危险因素。本文旨在介绍RnMonitor,这是一个基于WebGIS的平台,旨在有效地进行Radon风险管理并加快基于IoT的传感器的原位部署。考虑到空间上下文是视觉和数据分析的关键这一事实,建议的平台利用了空间相关实体(建筑物/房间/设备)的层次结构,这些实体在系统中被本地地理参考,从而为获取的数据提供了空间上下文以及其他相关指标,借助一个简单,响应迅速且直观的基于Web的应用程序。

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