Streamlining Data Infrastructure for Power Generation Operations
BKOAI modernized power-generation data systems to improve real-time visibility and operational efficiency
Goals
- Modernize legacy power generation data systems to support real-time operational insights.
- Establish unified data accessibility across multiple generation sites and platforms.
- Transition historical data storage to modern time-series databases for long-term analysis.
- Enable advanced analytics and decision support capabilities across the organization.
Challenges
- Relying on legacy eDNA data systems limited real-time operational visibility.
- Fragmented SCADA historian platforms prevented efficient cross-site data analysis.
- Operating with siloed systems restricted integration with external business tools.
- Managing outdated visualization screens delayed decision-making processes for operators.
Solutions
- Migrated critical calculations from legacy eDNA to PI Asset Framework.
- Rebuilt visualization screens in PI Vision and configured new PI interfaces.
- Deployed MQTT and DNP interfaces on-site to stream data to central Ignition servers.
- Integrated InfluxDB via Kymera adaptors to enable long-term time-series historization.
Results
- Created a unified data platform supporting both real-time and historical analysis.
- Improved operational visualization and data accessibility across the power generation fleet.
- Enhanced integration with external applications like Power BI and energy management systems.
- Established a robust foundation for future advanced analytics and operational decision-making.
.svg){kind=small}
.svg){kind=small}
.svg){kind=small}
