Energy Saving Arrangements TRIZ Cases

See how a robot uses critical-point signal detection and mid-point calculation to align precise

A hub vehicle relays location, task, and energy data to coordinate fleet geofences and keep remote vehicles within return power limits.

Simulation of warehouse workflows and vehicle kinematics compares ideal and actual use data to time maintenance with less downtime.

Simulated workflow and kinematic models with cutback curves predict warehouse vehicle performance more realistically for fleet selection and route planning.

Dynamic in-flight speed profile switching balances fuel-efficient guidance with time-reliable RTA compliance under changing conditions.

An unconstrained reference path and a waypoint-limited optimization region cut flight planning iterations while improving fuel and time efficiency.

By facing into the wind and deploying adjustable lift planes, this multirotor UAV cuts energy use and extends inspection flight autonomy.

Historical flight clustering predicts descent routes and runway choice, helping set top of descent more accurately and cut fuel waste.

Historical delivery data guides a UAV to an intermediate staging point, cutting wasted flights when recipients move or revoke requests.

Quantifies CO2 tradeoffs between fastest, lowest-emission, and candidate flight paths to cut mission planning iterations and fuel use.

Incentive-based data collection from operating work machines improves user participation, data quality, and collection efficiency.

Vertical airflow sensors guide flight-state switching to suppress UAV battery drain and extend flight distance without a heavier battery.

Historical delivery data guides a UAV to an optimal staging point, cutting wasted travel when recipient locations or requests change.

A trained ML model predicts UAV formation changes from real-time status data to cut total energy use and extend operational radius.

Candidate ground vehicles carry the UAV along its route, cutting onboard power use and extending delivery range beyond battery limits.

When battery output drops under load, the controller scales each propulsor's power to preserve thrust symmetry and maintain attitude control.

Dynamic cruise profile recalculation uses updated weight, wind, and temperature data to find cost- or fuel-optimal step climbs and descents.

A trajectory planning algorithm computes a minimum-energy VTOL transition path and control schedule within flight constraints.

Generates multiple conflict-free flight paths from ADS-B traffic data to cut ATC interventions, fuel burn, emissions, and controller workload.

By summing section energy from vehicle speed and road undulations, this case helps compare routes by actual energy use.

Flight paths are segmented by sensor range, fuel distance, and communication limits to capture route environment data reliably.

Real-time sensor and controller inputs adapt electric aircraft routes to cut energy use and improve flight plan efficiency.