Using Intelligent Energy Management
Control mechanisms have been in place in buildings for many years. EOS brings intelligence to those control mechanisms so they can do a better, leaner job of managing buildings within the pre-defined space requirements. EOS is designed to integrate seamlessly with one or more existing Building Automation Systems. It does not write directly to equipment parameters, but rather to the setpoints already configured in the existing controls.
The User Interface allows building operators and executives to view EOS’s optimization plan and activities, track energy performance and troubleshoot highlighted equipment performance concerns. It can be accessed using any web browser with the proper credentials.
BIG Data Computing
A large building generates about 5,000,000 data values each day. These data values can come from controls, meters, sensors, scheduling systems, weather, occupancy, utility pricing, production and many other business process inputs. This rich dataset is valuable in enabling a full-spectrum, building optimization
To handle this high volume of data in real-time, EOS employs a sophisticated database running in centralized server farms. The database is used as a memory bank for the EOS engines and grows the intelligence repository as the system ‘learns’ how to optimize each unique building better over time.
The ‘brain’ behind EOS’s net new savings opportunity is its optimization engine. This engine applies a collection of intelligent algorithms, fuzzy logic, workflow rules, targeting and engineering strategies toward the single goal of driving optimal energy savings at the building level. Each minute, the engine weighs the predicted energy savings associated with each of thousands of possible plans and selects the plan with the best possible results – all while maintaining pre-defined building space conditions.
Our automated engineering strategies are the technical embodiment of the energy saving techniques our engineers have honed over the years in partnership with researchers, R&D partners, subject matter experts and our customers.
EOS uses an agent running on a standard gateway to enable machine to machine (M2M) communication with the various controls networks and our cloud-based data center, thereby allowing us to take advantage of data coming from heterogeneous equipment and systems, and control them using an open control protocol. The Agent does not interfere with manual control and priority/ emergency overrides.