Customer:
Santa Clara County
Locations:
200+
Square Ft.:
4.8 million
SCIwatch is a highly scalable, vendor-neutral energy analytics platform that interfaces with any building energy management system for automatic data collection, warehousing, diagnostics and work order issuance and tracking. It also serves as a centralized, non-invasive system that consolidates up-to-the-minute views into energy usage and system-wide performance levels with reporting parameters tailored for executive-level and operational staff.
At the core of the SCIwatch platform is a pattern recognition technology that distinguishes the solution in the energy management market. Because system degradation can be extremely hard to detect — especially if the tools being used are not sensitive enough to pick up the slightest of anomalies that impact energy efficiencies — SCIwatch employs neural networks, a commercially proven form of artificial intelligence. This form of advanced mathematics applies a scientific model that increases the accuracy and predictability of system faults that can cost organizations significant money in terms of unnecessary energy consumption and productivity erosion due to system downtime. By employing neural networks, the SCIwatch solution can accept a virtually unlimited number of independent variables and produce a very accurate pattern of the way energy is consumed, managed and wasted.
SCI has expertise with HVAC, refrigeration, automation, monitoring, energy efficiency, maintenance management and diagnostics systems. The SCIwatch solution at a glance: