Environmental conditions and comfort parameters in complex buildings are managed digitally by a Building Management System (BMS). BMS are very efficient at regulating environmental parameters but cannot however cross check data from different sources across the building.
Based on the principles of cloud technology and machine learning, we will be able to retrieve real time information from a building’s BMS, analyse it to yield valuable insights about building operations and, ultimately develop effective strategies to reduce energy use and enable smart facility management.
Revolve is going allow users to track the performance of power, lighting, ventilation and air-conditioning systems by collecting data such as operating hours, idle times, and maintenance cycles, in real time! This data will be the basis to fully automate building maintenance.
Our platform helps gain a deep understanding of buildings, so we can provide support to building management teams, pursuing the best possible cost performance in their buildings. We estimate that Revolve will be able to save (minimum) 10% of energy usage in buildings!