• Intelligent Buildings


  • Modern buildings are full of data collection systems, from building management systems -BEMs- which captures temperature and humidity levels, to access controllers, which collect occupancy statistics, to other measurements too.
  • Big data describes large, complex sets of data that if interpreted properly, can provide insight into how a building is performing from an energy standpoint. Building owners are realizing that the metrics they use to evaluate the assets in their portfolios are changing.
  • Shifting customer demands, climate change mitigation and sustainability goals, power reliability and resiliency concerns, and budget constraints are driving demand for intelligent building solutions.
  • Therefore, there is an important need to create a structured way to collect, process, and analyze a set of data to make better performance and increase functional capabilities of the facility.


Anomaly Detection



At Eris Innovation, we are developing Big Data analytical solutions to the numerous problems for the buildings. Decision making becomes easier if we have a set of data collected through surveys, smart meters, IT networks, and occupant behavior.

The main emerging added value solutions for smart buildings are included in our solution:

  • Anomaly Detection: Supervised or even non-supervised learning approaches can provide a model of a building in a usual and standard situation, using a huge amount of its historical data. This model then could be employed to monitor constantly the whole condition of the building and certainly detect any deviation from normal circumstances.
  • Predictive Maintenance: All types of faults and malfunctions which could lead to a complete failure can be detected in advance to make replacements early enough or to solve the technical problems before getting run into serious troubles or costly damages to the whole infrastructure and its equipment.
  • Smart Dashboards & Intelligent Alarms: Big Data Analytics provides extremely valuable information and significant insights into a building's state and performance which can be visualized using our dynamic dashboards and advanced data visualization tools. Furthermore, the developed predictive models would open up the possibilities of raising alarms intelligently according to the type and importance of detected anomalies or probable failures in the entire system or its appliances.