FLOW
Noedra Flow — line & asset monitoring
FLOW
- Dynamic line rating — real-time ampacity from line-mounted sensors (conductor temperature, current, wind speed/direction, humidity, ambient conditions) instead of static limits, unlocking hidden capacity and deferring reinforcements
- Situational awareness — icing detection with weather-model quantification, high-frequency vibration monitoring (galloping, aeolian vibration), and extreme-weather transparency for wildfires, hurricanes, and heatwaves
- Advanced inspection — helicopter, drone, and ground missions with co-mounted Ultra-HD RGB, 3D LiDAR, thermal, and UV/corona sensors, processed by AI for inventory, defect detection, and vegetation management
- Predictive maintenance — continuous trending of sag, tension, galloping, ageing, and ice formation with early warnings and data-driven planning
- Supports FERC 881 compliance via ambient-adjusted ratings based on real-time temperature data
- Dashboards, alerts, and what-if scenario analysis; encrypted data to web dashboards with API integration into SCADA and asset-management systems
Overhead line capacity upratingIcing and vibration risk monitoringAI-based line inspectionVegetation managementFERC 881 ambient-adjusted ratings compliance
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Specifications
Suite
| Portfolio | Noedra — Siemens Energy's grid digital framework ("the Mind of the Grid") |
| Suite role | Flow — line digitalization; intelligence from above the grid |
| Scope | Condition and performance of transmission assets — overhead lines and cable |
| Sibling suites | Node (substation digitalization) · Shield (grid cybersecurity) · Atlas (energy advisory & grid consulting) |
| Delivery model | Line-mounted sensor systems + analytics platform with web dashboards; inspection campaigns delivered as flight/ground missions |
Capabilities
| Dynamic line rating (DLR/AAR) | Continuous real-time ampacity calculation from sensor networks; safe capacity based on actual conditions, not static assumptions |
| Monitored quantities (line sensors) | Current, conductor temperature, ambient temperature, humidity, wind speed/direction, conductor inclination, gyroscope; optional camera for visual inspection |
| Predictive maintenance | Trending of conductor condition, sag, tension, galloping, ageing, and ice formation; diagnostics, prognostics, and overload guidance |
| Icing detection | Sensor data combined with weather models to detect and quantify ice build-up on lines |
| Vibration monitoring | High-frequency sensors identify galloping and aeolian vibration early, avoiding conductor damage |
| Extreme weather transparency | Rapid-response visibility during wildfires, hurricanes, and heatwaves; AI-powered vegetation management and wildfire detection |
| Advanced inspection — acquisition | Helicopter, drone, and ground missions; co-mounted Ultra-HD RGB cameras, 3D LiDAR, infrared (thermal), UV/corona sensors, weather data |
| Advanced inspection — AI analytics | Automated asset inventory (insulators, ID plates, joints, tension clamps, marker balls), defect detection, thermal hotspot and corona detection, tree-fall simulation, LiDAR point-cloud classification |
| Surveying / right of way | Orthophotos up to 4 cm GSD, digital terrain/surface models, centimetric X/Y/Z accuracy |
| Decision support | Dashboards, alerts, and "what-if" simulations for bottleneck identification and proactive capacity decisions |
Integration
| Grid systems | API integration with SCADA and asset-management systems; integration-ready with grid control and maintenance systems |
| Protocols | Supports standard protocols for seamless integration (per suite brochure) |
| Data security | Encrypted data transfer to web dashboards |
| Regulatory | Supports compliance with regulations such as FERC 881 (ambient-adjusted ratings) |
| Outputs & deliverables | Interactive web interface: line documentation, defect findings, clearance maps, orthophotos, terrain/surface models; annotation and maintenance planning in-platform |
Deployment
| Field layer | Self-powered sensors mounted directly on the conductor; next-generation DLR sensor with drone mounting/dismounting on >200 kV OHL |
| Inspection missions | Co-mounted multi-sensor systems on helicopter, drone, or ground vehicles; synchronized capture for accurate 3D localization |
| Data volumes | Typical inspection flights generate up to 100 GB per km (~160 GB per mile) |
| Records & trending | Consistent digital records with year-over-year mission comparison for condition trending |
Options & variants
Solution lines within the Noedra Flow suite.
| Solution line | Focus | Key functions |
|---|---|---|
| Dynamic line rating (DLR) / AAR | Real-time capacity | Ampacity from live conductor and weather data; regulatory compliance (FERC 881); scenario analysis |
| Situational awareness & weather resilience | Risk detection & alerts | Icing detection, vibration monitoring, extreme-weather transparency |
| Advanced inspection | Digital asset intelligence | AI-based inventory, defect detection, vegetation management, surveying / right of way (4-in-1 camera sensor: visual, LiDAR, UV, thermal) |
Documents & downloads
Brochure Noedra Flow — Dynamic line rating & situational awareness / weather resilience for OHL
Brochure Noedra Flow — Advanced inspection
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SHIELD