Picture this: A tired power line snaps in a lodgepole pine stand on your grid. Even though your vegetation management team just completed scheduled understory mowing and pruned nearby branches last month, it’s high summer and drought has gripped your province. It’s a ticking tinderbox — and the understory bursts into flames the moment your line grazes the grass.
Maybe you knew the line seemed stressed, but you hoped it would hold another year. Or your maintenance crew wasn’t scheduled to visit that site until next week. Or despite your team’s best efforts, everyone overestimated its condition during their last field visit.
Either way, a wildfire’s burning, you’re forced to shut off power to customers, your utility company is getting blamed and the public’s memory of the Tweedsmuir Complex fire and the Donnie Creek blaze are still hot.
Now imagine another version of the story: one in which that line was fixed at the perfect time.
With predictive AI, you don’t have to depend on “if onlys.” You have the certainty of a physics-backed, engineering-grade 3D digital model to find and resolve:
- Encroaching vegetation that poses a risk to every utility asset in your network
- High-risk infrastructure whose failure may ignite surface fuels and trigger wildfires
- The best, most efficient grid-hardening solutions to strengthen your network’s resiliency
This three-prong playbook explains how to integrate this technology into your current wildfire emergency response plan. Neara uses your LiDAR, GIS and real-world weather data to help you run scenario-based simulations of current and future risks across your entire network, giving you the data needed for confident decision-making under fire.