Project manager Michael Schöny and his colleagues from the Sustainable Thermal Energy Systems Competence Unit at the AIT Centre for Energy asked themselves this question two years ago and launched the "mAIntenance" project.
In cooperation with the Centre for Vision, Automation & Control, relevant IoT sensors were installed in selected office spaces, which enabled the thermal room air conditions to be monitored. These recordings were supplemented by thermal comfort measurements and questionnaires, which the employees of the Centre for Vision, Automation & Control were asked to complete twice a day.
The aim is to use the measurement data to create data-driven models for time series forecasts in order to provide operators with a predictive timetable for thermal room behaviour in a predefined zoning. Early intervention in component-activated delivery systems, for example, can also help to increase energy efficiency.
An information event was held at the VAC to present the analyses of the comfort measurements for the zoning of the north and south sides and to explain the next steps to the colleagues.