Products.
SCIwatch is a highly scalable, vendor-neutral energy analytics platform that interfaces remotely (without the need for additional hardware installed on-site) with practically all direct digital control (DDC) building energy management systems for automatic data collection, warehousing, diagnostics and work order issuance and tracking.
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, complexity which is at the heart of unnecessary energy consumption, maintenance costs, 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’s expertise with HVAC, refrigeration, automation, monitoring, energy efficiency, maintenance management and diagnostics systems is embedded into this automated solution, and its experienced team continues to identify new ways to improve it.
The SCIwatch solution at a glance:
SCIwatch changes the facility operation paradigm, moving from reactive to proactive, from preventive to predictive, and ultimately optimizing complex energy systems to enable persistent savings. Green buildings stay green each day, and energy efficiency programs can be measured and verified based on consistent, controlled system performance.
