The Wildfire & Outage Prevention Commander
The agent mission
Prevent a catastrophic wildfire ignition or cascading outage. Correlate SCADA telemetry, PMU signals, weather, vegetation maps, satellite/drone imagery, inspection photos, and field work orders to predict which assets are about to fail—and dispatch crews to the exact feeders and poles that matter before conditions cross the point of no return.
The Challenge
IT/OT Fragmentation at Scale
Operational data lives in OT systems (SCADA, substation logs, protection relays, PMUs) while context lives in IT systems (asset registries, maintenance history, GIS layers, vegetation management, contractor notes). Identifiers and timestamps rarely align cleanly.
Multi-Modal Reality
The highest-signal evidence is often visual and unstructured: insulator cracks in photos, conductor sag in drone video, corrosion patterns in inspection notes, or smoke anomalies in satellite imagery. Traditional pipelines treat these as attachments, not searchable data.
Time-Critical Risk Windows
Wildfire and outage risk is driven by rapidly changing conditions (wind shifts, heat, load spikes). If analytics run overnight, the grid state has already changed—and decisions are made on stale snapshots.
Provenance and Accountability
Utilities must justify mitigation actions and operational changes. When teams stitch evidence across dozens of systems manually, it is hard to reproduce results, prove data lineage, or explain why a particular circuit was de-energized or prioritized.
How Volumez Agentic Data Platform solves this
Asset-Centric Digital DNA
Matrix links every asset (pole, transformer, breaker, feeder) to its full operational and maintenance history—telemetry, alarms, relay trips, inspection photos, work orders, and GIS layers—creating a unified, queryable lineage graph per asset and circuit.
In-Place, Time-Aligned Correlation
Matrix performs time-windowed joins across SCADA/PMU streams, weather feeds, and event logs close to the data, enabling agents to detect precursors (harmonics, temperature drift, repeated recloser activity) and correlate them to location and asset context without heavy ETL.
Semantic Search Across Imagery and Notes
Matrix vectorizes inspection imagery and text so agents can search for concepts like “hairline cracking,” “tracking,” “hotspot,” or “vegetation encroachment” across years of archives, surfacing similar failure signatures before they become incidents.
Operationally Explainable Mitigation
Matrix keeps the evidence trail intact—from raw sensor packets and images to derived features and risk scores—so the agent can recommend actions (crew dispatch, targeted maintenance, load shedding, preventive de-energization) with a defensible, auditable rationale.
Take agentic to a whole new level.
Infrastructure Ready for Anything Agents Demand to Deliver ROI.
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