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SkyFoundry SkySpark
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.
Last Edited on: 10/25/2023
Software Location
On-premise or Cloud-based
Software Configuration
Vendor or Certified System Integrator
Data sources
BAS real-time and historical data, Third-party cloud
Communications Protocols
IP-based. Interfaces with standard protocols such as Modbus TCP, Obix, Haystack, SNMP, Sedona, OPC, MQTT, SQL, CSV import (manual batch or automated), and a REST API.
Software Maintenance Model
Updates and support provided under yearly maintenance agreement
Intended Users
Site staff, FDD vendor, Third-party consultant
Data Ownership
End-customer
Computerized Maintenance Management Systems (CMMS)
Yes
Supervisory Control
Yes
Prioritization of Faults
Yes
Assessment of Fault Impacts
Energy and costs impacts
Interval Meter Data Analytics
Yes
Due to the nature of fault detection and diagnostic systems (highly customizable/key performance indicators dependent on building characteristics), the evaluation team did not conduct lab-based performance evaluations. The "test procedures" document below explains the data that were collected and results can be found in the technical specs and user experience sections.
