Solutions · Solar Farms
Quantify mission margin across large repetitive surveys.
A utility-scale array creates long, repetitive routes where small per-leg effects can compound across the mission. RangeIQ+ models expected battery and reserve across the route, letting teams size sorties consistently under the actual aircraft, payload, and environmental assumptions.
The Challenge
Repeated passes, cumulative performance effects.
A large grid is not one uniform flight. Direction changes, wind, temperature, payload, and route length can create different performance demands across individual passes even when the overall pattern appears repetitive.
Vast Repetitive Grids
With hundreds of repeated passes in a large array, small per-leg differences can accumulate across the full sortie.
Long Lawnmower Passes
Back-and-forth routes can expose different legs to different wind components. A route-wide average can hide the pass that becomes limiting.
Heat & Thermal Loads
Open sites can operate in high temperatures, while thermal and RGB payloads change aircraft mass and mission demand. These inputs need to be part of the mission model itself, not handled separately.
How RangeIQ+ Helps
Mission performance for every pass.
Per-Pass Performance Modeling
Every pass in the grid is scored on its own direction, distance, environment, and aircraft setup, not lumped into one average for the whole array.
Expected Battery Across the Grid
Project battery at route turns and the modeled reserve, with the limiting portion of a long sortie visible before launch.
Heat & Environment
Temperature, wind, and altitude are part of the per-leg energy model itself, not just generic operating limits on a spec sheet.
Payload-Aware Thermal Rigs
Account for the actual thermal/RGB payload configuration used for the mission.
Drone Profiles Per Airframe
Airframe-specific profiles ground the analysis in the actual aircraft flying the grid, not a generic endurance number.
One Result Per Sortie
Each sortie comes back with expected margin and the limiting constraint called out, not just a pass or fail.
Outcomes
Size survey sorties with consistent mission-performance assumptions.
Outcome
Size Sorties Consistently
Use the modeled mission margin to define survey segments under the selected aircraft, payload, environmental, and reserve assumptions.
Outcome
Sequence Coverage With Expected Margin
Plan adjacent survey segments around the expected performance of the actual mission, not a generic endurance number.
Outcome
Identify Limiting Passes Before Launch
Surface the leg or pass that constrains the mission for review before the sortie begins.
Bring mission-performance analysis to large survey routes.
Request access to RangeIQ+ and evaluate mission-specific performance across repetitive survey patterns through the Noxdren API.
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