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

Abstract

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.