solution paper

Turn Your UVM Program from a Cost Center into a Strategic Asset.

Vegetation management remains the leading cause of outages and a significant OpEx burden for modern utilities. Yet, most solutions rely on manual assessments or generic "distance-from-line" trimming, which lacks the precision needed to mitigate modern grid risks.
GridOS® Visual Intelligence changes the paradigm. By integrating LiDAR and imagery with species-specific predictive growth modeling, it helps utilities identify the highest-risk trees such as eucalyptus, poplar, and silver maple and prioritize trimming based on actual risks rather than arbitrary cycles.

Transform your vegetation strategy with AI-powered insights:
  • Minimize Wildfire Risk: Proactively identify combustible vegetation near critical infrastructure to prevent catastrophic ignition.
  • Optimize Budget Allocation: Move from flat-rate, cycle-based maintenance to risk-based, growth-projection-based contracts. Reduce repeat pruning and target for the highest return on spend.
  • Strategic Asset Planning: Use 3D modeling to determine the optimal locations for grid expansion and long-term capital investment.
Impact: A Major European Utility Case Study

Implementing Visual Intelligence enabled a major utility to move from reactive maintenance to a risk-based model. Their deployment across 300,000 kilometers of lines resulted in:
  • 38% reduction in outages, directly impacting grid reliability.
  • 85% increase in efficiency for inspection and diagnosis.
  • Over 100,000 tons of CO₂ equivalent emissions avoided through smarter vegetation and asset lifecycle management.
Enterprise-Grade Infrastructure and Scalability with AWS

Visual Intelligence leverages Amazon Simple Storage Service (Amazon S3) for secure, scalable data storage and utilizes elastic compute capabilities to run high-intensity computer vision models. This cloud foundation ensures utilities can process vast amounts of imagery and LiDAR data with the speed, security, and scalability required for enterprise-wide operations.

Ready to transition to predictive, risk-based maintenance and explore how GridOS® Visual Intelligence enables utilities to justify budgets, comply with regulations, and prevent outages.
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Solution Paper

Turn Your UVM Program from a Cost Center into a Strategic Asset.

Vegetation management remains the leading cause of outages and a significant OpEx burden for modern utilities. Yet, most solutions rely on manual assessments or generic "distance-from-line" trimming, which lacks the precision needed to mitigate modern grid risks.

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