Klaus Schlender

Fachhochschule Bielefeld

This article provides information about a currently developed measurement and analysis system 'Smart Monitor-ing' , which is used on scientific project in terms of healthy indoor air coefficients, as well as the processing of the collected data for machine learning algorithms. The target is to reduce CO2 emissions caused by wrong ventilation habits...

In this joint project the development of a robust low-cost monitoring system of air quality and wall humidity values is presented. Using open source software on a RaspberryPi 3 with some plug-in sensors for temperature, pressure, CO2 and humidity data sets every minute are stored in an universal data base. Data analysis gives good results in recogn...