Fusing physics-informed machine learning, multimodal acoustic intrusion understanding, optical fiber ground wire sensing (DAS), and graceful control degradation to protect critical substations and battery storage systems against sabotage and cyberattacks.
Real-time SCADA nodes, OPGW optical fiber sensing links, and BESS-PV point of interconnection (POI).
Synthesize high-frequency substation audio signatures and process raw PCM audio waves directly through Gemini 2.5 Flash. Differentiate sniper gunfire, core arcing, drone swarms, and wildlife movement before physical breakdown occurs.
Grounded in research on physics-informed AI, NERC CIP-014 compliance, IEC 62443 graceful degradation, and fiber optic acoustic sensing.
Conventional ML models suffer high false-positive rates during solar irradiance variations or grid transients. Our framework embeds physical equations (Kirchhoff's Laws, power balance $P=VI\cos\phi$, battery SOC bounds) into an Isolation Forest model.
When corrupted telemetry packets or frozen SCADA readings are identified, state estimations reconstruct true operating points using real-time physical equations rather than untrusted network data.
Simulate cyberattacks and physical breaches in real-time to observe autonomous physics-based mitigation algorithms.
Synthesize thermal infrared and optical sensor images to inspect critical substation transformers, BESS battery racks, and OPGW fiber joints using Gemini Multimodal Vision understanding.
Assess your power transmission substation readiness against NERC CIP-014 requirements R1 through R6.
Estimate threat detection improvement and outage reduction metrics tailored to your utility system capacity.