Digital Line Rating
Right-size your network capacity with certainty, not assumptions
Get the most out of your existing assets by shedding the constraints of blanket assumptions. Digitally re-rate every span in your network based on automatically calculated, granular criteria, including physical asset characteristics, clearance thresholds, and weather stimuli, to determine with certainty what you can achieve using your existing assets, without setting foot in the field. Your AI-assisted digital network model is your roadmap for safely expanding network capacity, improving SAIDI/SAIFI, and showing that you've left no stone unturned to improve reliability.
- Automatically score every pole and conductor in your network based on its ability to help or hinder network throughput. Identify limiting elements across your physical assets and prioritize bottleneck remediation to get the most out of your assets.
- Simulate a range of wind speeds and ambient temperatures across your entire territory to see how much more you can stretch your network in any conditions. Your network model enforces safe clearance thresholds with hard span-by-span rules that act as safety guardrails so you don't have to.
- Zoom out and build a holistic checklist for safely unlocking every extra mWh of available headroom so you can power through your next peak demand record with certainty.
Make conventional blockers work for you, not against you.
Maximize gains with granular adjustments that add up
Optimize carrying capacity span-by-span in a digital environment, because not all spans are created equal.
- Get what you need from every line in your network with the right tools.
- See what weather and equipment characteristics reach your target line ratings.
- Evaluate how span-by-span tweaks build up to network-wide capacity expansion.
- Set realistic goals faster than in the field or with first-generation tools.
Achieve precision beyond weather-adjusted line ratings
Go beyond streaming weather data and sensor inputs, because conditions aren't the only thing driving carrying capacity.
- Simulate actual line temperature using variables like conductor type, even without sensors.
- Paint the full picture of what's possible and pursue capacity expansion with certainty.
- Test-drive tweaks from reconductoring to enhanced vegetation management.
- Evaluate impact before you invest and bring your team's best ideas to the field.
Diagnose physical carrying capacity bottlenecks across every span
Target the root physical causes of carrying capacity limitations across every span.
- Find the lesser assets that compromise capacity, from overloaded poles to ill-suited conductors.
- Make the most of headroom tailwinds from cooler temperatures and breezes.
- Assess every pole and wire's impact on network productivity.
- Evaluate asset upgrades by how much incremental throughput they unlock.
Pinpoint the right levers to pull
Understand and rank order all the levers you can pull to increase network capacity using existing assets.
- Simulate upgrades like pole replacements, reconductoring, and vegetation management.
- Model them against heat waves, cold snaps, and more for cost-effective expansion.
- Explore every possibility in a flexible digital environment to surface winning options.
- Invest in the right upgrades to meet the demands of today and tomorrow.
