Industry
Wind · Solar
Unified monitoring and predictive maintenance for distributed renewables
Turbines offshore and in the mountains, solar plants scattered across sites — monitored on one platform. Predictive maintenance and generation-anomaly detection raise availability and yield together. Includes Doosan wind digital-twin build experience.
Renewable assets are scattered; the people who run them are central. Collect remote signals without gaps and catch failure and degradation signs early — the approach proven in Doosan's ICT-converged wind operations system, now running wind and solar on one screen.
A Challenges
Hard-to-see status of remote, distributed assets
Slow root-cause identification for sudden failures and yield drops
Unstable connectivity and data loss at offshore, mountain, and unmanned sites
Optimizing maintenance crews and timing
B How PlantPulse helps
Map-based unified monitoring
A global site map monitors every farm and plant on one screen, with drill-down into problem sites.
Predictive maintenance
MTBF, MTTR, reliability R(t), and AI anomaly detection catch rotating-part degradation early to optimize maintenance timing.
Generation-anomaly detection
AI learns the irradiance-to-output baseline to find degraded strings and inverter faults early, comparing site → inverter → string layers to expose hidden losses.
Collection that survives outages
Up to 500K points buffer locally during a link outage and retransmit automatically on recovery, with 30-second reconnects.
Power-industry protocols
42 drivers including DNP3, IEC 61850, and Modbus connect heterogeneous turbines, inverters, and meters.
Alarm & maintenance workflow
Detection → acknowledgment → action reports tracked end to end, delivered by email, SMS, and push.
24/7
remote asset monitoring
500K
outage buffer points
30–50%
fewer unplanned stops (estimate)
8ms
edge collection latency
C Where it applies
Edge keeps collecting standalone through unstable links, retransmitting buffered data automatically on recovery.
Turbine history with no data gaps
Unmanned sites run on standalone edge collection, with inverter and string output compared hierarchically to pinpoint degraded strings.
Unmanned operations · hidden yield losses exposed
Baselines learned on vibration, temperature, and output series catch degradation early and set maintenance priorities with data.
Doosan ICT-converged wind operations build-out
C Outcomes
- Higher availability and yield
- Failures and degradation caught early
- Unmanned, remote operations established
D Related products
D FAQ
Our turbines and inverters come from different vendors — can you connect them?
Standard protocols (OPC-UA, Modbus, DNP3, IEC 61850) plus 42 drivers collect heterogeneous turbines, inverters, and meters, and collected tags are re-served over OPC-UA.
Links drop often on site. Do we lose data?
The edge keeps collecting and storing on its own, buffering up to 500K points during outages and resynchronizing automatically on recovery.
We already run SCADA or a monitoring system.
PlantPulse collects in parallel over standard protocols and leaves your system in place, adding multi-site monitoring, predictive maintenance, and anomaly detection on top.