Driven by Artificial Intelligence and guided by humans, VIP creates a 3D visualization of the utility’s territory data, factoring in legacy statistics, growth rates, and weather patterns to predict problem areas six months or more in advance.
The risk analysis is then translated into a 2D map pinpointing locations for trimming and asset inspection crews to prioritize, delivering the actionable insights needed to make data-driven decisions. Visual Intelligence eliminates “human-bottlenecks” in the data evaluation process, enabling asset risk calculations in a fraction of the time. That’s why many utilities are moving away from an annual “blind” rotational trimming and asset inspection strategy to a purely outcome-based one. After all, for many utilities, asset inspection and vegetation management are among the largest OPEX budget line items.
The statistics speak for themselves:
- 30% reduction of actual trimming work
- 30% reduction in tree-caused outages
- 90% gain in data productivity
The data is clear. The Platform’s automated identification of encroachment areas and asset defects reduces outages, increases compliance, improves safety, and reduces the probability of catastrophic events such as wildfires or major regional outages like the Northeast Blackout.
If you’d like to learn more about GE Digital Grid’s Visual Intelligence solution and the future of preventive vegetation management and asset inspection, read the eBook now: Top 3 Benefits of an AI-Driven Visual Intelligence Solution.