BAS historical data

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Cimetrics’ Analytika Pro modeling and fault detection engine combines big data machine analysis with engineering expertise to perform fault detection and diagnostics (FDD) on real-time and historical data, uncovering issues and opportunities that were previously undetectable.

Hub Highlights:
  • The system contains over 900 proprietary algorithms that have been developed and tested over many years.
  • The algorithms apply weather information and static data (such as equipment specs and system topography) to operational data from a facility's entire mechanical system, including each piece of HVAC equipment. Real-time fault detection allows users to monitor system for performance anomalies to ensure you are aware of them before they result in potentially costly failures.
  • The root-cause analysis engine combines information from historical system data, a three-dimensional topological model of the system and fault detection algorithms to generate accurate, comprehensive root-cause analysis of system faults.

CopperTree’s Kaizen fault detection and diagnostics platform is capable of rule-based algorithms and pattern recognition techniques, with portfolio views, building and system-level interactive views, system performance auditing and an actionable insight management portal.

Hub Highlights:
  • Allows users to prioritize building operations through interactive dashboards and performance metrics with multiple prioritization categories, including potential savings, urgency, and energy and comfort impacts.
  • Provides system-centric reporting with fault prioritization, outcome-based system performance metrics (KPIs), and an actionable Insight management portal with historical activity tracking.
  • Combination of faulting engine combined and user-friendly block-programming logic rules enables data-driven decision-making process and allows facilities personnel to continuously analyze their building’s systems. Pre-built logic rules, including the NIST APAR set, are available for use from CopperTree’s community library

SkySpark Analytics automatically analyzes data from smart devices and equipment systems to identify issues, faults, deviations, and anomalies enabling improved performance, reduced downtime, and operational savings.

Hub Highlights:
  • Includes over 500 built-in analytic functions to help find equipment and system issues.
  • Includes a rich set of applications to visualize data and analytic results that can be displayed in standard web browsers without plug-ins. SkySpark can also output analytic results to third party applications via open APIs.
  • Bundled with Arc, a workflow engine for creating customized workflows to track work orders.