Tackling the Traditional Expense of Vegetation Programs
Vegetation management is a major OPEX budget line item that is intended to reduce outages, increase compliance, improve safety and reduce the probability of catastrophic events like wildfires. Those are all important objectives, but the price tag need not be so hefty.
AI and ML innovations for visual intelligence improves existing capabilities by improving proper data management pipelines and providing expedited and advanced processing capabilities.
For one, with rapid processing of field crew images, a tree trimming crew can submit work done images and get immediate feedback to move the bucket truck and cut clearance back further. The changes are made all in one trip, without having to send out crews again, for a major cost savings.
Secondly, visual inspections generate large amounts of data. But collected inputs from land-based line patrols can have integrity issues due to inconsistent perspectives, focal accuracies, and distance from the target objects. Using LiDAR to measure electrical corridors, trees, incursions and clearances has become standard industry practice. Yet reviewing these inputs manually is labor and time intensive. It can take weeks or months to correct data integrity issues and cleanse data for legitimate vegetation risk calculation. Digital visual intelligence powered by AI takes on these challenges head-on.
Updating traditional approaches to asset inspection and vegetation management with visual intelligence and asset and vegetation managers’ own experience, utilities can realize benefits including:
- 21.7% cost savings on an annual basis vs. current costs
- 74.1% return on investment
- 30% reduction in outages