Predictive Maintenance of heating systems
Predictive Maintenance is the next future step in our work with helping property owners to gain digital control of heating systems.
By gathering a vast amount of data from the heating station it’s soon possible to use Machine Learning and Data Analytics methods to predict property maintenance. By doing so it’s possible to find patterns and identify both deviations and equipment errors that need to be taken care of at an early stage, or to plan maintenance in your property portfolio by analyzing the efficiency of your equipment.
Both aspects are examples of how property owners can use data and analytics to become data-driven and predictive in their maintenance work.
In the long run, this will help property owners become more successful by connecting, digitizing, and optimizing buildings with Egain Edge.
Watch Mitra Hajigholi – Data Scientist and Machine Learning Engineer at Egain presenting Predictive Maintenance of Central Heating Systems at this recorded webinar from RE Connect.