The challenge

Wildfires spread rapidly and generate toxic smoke that travels hundreds of miles, affecting communities far beyond the fire perimeter. Standard air quality monitoring networks are too sparse and too slow to detect early ignition signatures or track smoke in real time. Without dense, continuous sensing across at-risk landscapes, emergency responders and public health teams are left reacting rather than anticipating.

The Persium approach

Persium deploys sensor networks across wildfire-prone areas, forest edges, and community boundaries — continuously monitoring the combustion gases, particulates, and atmospheric conditions associated with early fire activity. When readings cross configurable thresholds, automated alerts notify response teams immediately. All data streams live into MapView, giving authorities a real-time, geospatial picture of where smoke is building, how it is moving, and which communities are most at risk.

What organisations use it for

Early ignition detection:

Continuous monitoring of CO, VOCs, and particulate signatures that indicate fire activity before it becomes visible or reported.

Smoke plume tracking:

Real-time, wind-aware visualisation of how wildfire smoke disperses across landscapes and into populated areas.

Community air quality alerts:

Automated notifications when PM2.5 or CO levels approach health thresholds, enabling timely public health guidance.

Emergency response support:

Live environmental data to help incident commanders understand conditions on the ground and plan response accordingly.

Post-fire air quality monitoring:

Continued monitoring after containment to track lingering smoke, ash particulates, and recovery of air quality across affected areas.