Near Real-Time Access Monitoring Based on IoT Dynamic Measurements of Indoor Air Pollutant
Łukasz Ścisło, Nina Szczepanik-Ścisło
Abstract
The proposed paper focuses on the development of a distributed, cloud-connected, measurement system for air contaminant migration monitoring using an Internet of Things sensor grid, for households with multiple heating systems (dual-heating systems). The continuous monitoring system with data transfer to the cloud and the possibility of near real-time detection of not only danger from contaminant accumulations but also from unscheduled or not allowed access to the given area. Moreover, due to cloud components, the data analysis of multiple measurements can be evaluated over longer periods to predict occupant behaviour or the need to ventilate specific rooms or areas. The novelty of the paper is associated with the concept of Industry 4.0 where large quantities of data allow us to search for new ways for the data to be used or to find new information in the data. In this case, the dynamic measurement system of contaminant detection is evaluated for use as the access control system with near real-time information to the user.