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AQFM Mission Lab · Advanced Air Mobility

Advanced Air MobilityDubai ↔ Abu Dhabi

MissionHealth changeReplan / recover
Dubai ↔ Abu Dhabi · illustrative mission

Six aircraft. One coordinated operation.

Coordinate flights, charging and recovery across Dubai and Abu Dhabi. This illustrative AQFM workflow combines mission reasoning and fleet coordination with AstraSense health context. Real geography; synthetic operations and telemetry. Not for flight operations.

Ground control station

AQFM Mission Lab

Simulated mission over real terrain

← Dashboard
Mission stable
T+ 0:00
Energy
92 / 100
Nominal
Inverter
18%
Advancing
Margin
36%
Normal link
Ready
5 / 5
Online
Simulated mission decision
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AQFM answer

◆ LOCAL INTELLIGENCE ACTIVE

Detect → Diagnose → Predict → Recommend

One aircraft’s condition changes the fleet plan

AQ-01 · Selected aircraft

Select any of six aircraft. Review its evidence and remaining capability, authorize a response, then follow the effect on passengers, resources and subsequent missions.

01 · Condition & evidence

Maintenance & evidence controls

02 · Capability & mission

AstraSense advises. Buttons represent an authorized operator’s decision within this illustration, not flight clearance.

03 · Fleet & next assignment

Fleet schedule & shared resources

Departures retain their original due times when delayed or reassigned. A healthy aircraft in the wrong location cannot silently take over a mission.

Real geography. Illustrative mission and aircraft telemetry. Not for flight operations. No live AQFM inference, validated aircraft performance, regulatory clearance or guaranteed recovery is represented.

Sources, aircraft assumptions & model limits

Six aircraft share one generic eVTOL profile; 300 kg payload, 240 kWh capacity, 85–220 kWh initial energy across six aircraft, protected 40 kWh reserve. Cruise 180 kW at 200 km/h airspeed; recovery 110 kW at 160 km/h. No manufacturer specification is implied.

Phases: takeoff 90 s / 380 kW; climb 120 s / 220 kW / 100 km/h; cruise until approach; approach 90 s / 180 kW / 80 km/h; landing 60 s / 260 kW. Ground speeds subtract the modeled headwind. Recovery options include approach and landing energy. Flight-phase distances consume the same route distance.

Inverter temperature uses dT/dt = 0.0015 × power(kW) − k × (T − ambient), in °C/s. Nominal k = 0.008/s; the default fault reduces cooling by 50%. A 30-s observed temperature/power window estimates cooling; at least 12 samples are required before a cooling hypothesis. Prediction uses a conservative 92% of the observed estimate. Limits: 105°C in flight, 80°C for dispatch. These are uncalibrated assumptions, not aircraft limits.

Each site has one illustrative movement pad and one compatible 90 kW charger at 92% efficiency, with multiple parking positions. Landing/takeoff windows have a 120-second scheduling buffer; this is resource sequencing, not validated air-traffic separation. Chargers are exclusive and queue aircraft; input tapers above 80% state of charge to a 25% floor. Charging targets next-leg energy plus reserve and a 10 kWh planning buffer. The inverter cools on the ground; cell temperature, battery ageing and detailed electrochemistry are not modeled. Inspection precedes charging. A modeled fault requires 20 minutes of repair, five minutes of fresh powered verification, and an explicit release action; cooling or a timer alone cannot clear it. Passenger transfer takes five minutes before a full onward flight.

Scenario clock starts at 12:30 GST (UTC+4). AQ-03 has flown ten modeled minutes before the clock starts; its initial position, energy and temperature are integrated from that flight. AQ-01 awaits Dubai–Al Bateen dispatch; AQ-02 holds Al Maktoum recovery standby; AQ-04 charges at Dubai; AQ-05 is held at Al Bateen; AQ-06 is scheduled for Al Maktoum–Dubai at T+12 min. The fleet board shows all 12 assignments. Future departures need schedule authorization and fresh readiness checks. A recovery can replace AQ-02’s standby leg; existing commitments are protected. Following-leg allowance is provisional because charging queues and taper can add delay.

Route lines join real airport reference points by a great-circle path. They are illustrative, not approved corridors or VFR procedures. Airport reference points are not exact vertiport positions; their offset from any eVTOL pad is unknown. Terrain, obstacles, full controlled/restricted airspace, NOTAMs and separation are not resolved. Site and weather evidence does not establish operational clearance.

Public AIP review identifies controlled Dubai/Abu Dhabi airspace, prior permission/slot requirements and listed temporary restrictions; these are reasons this illustration cannot authorize flight. Airport reference coordinates were cross-checked against GCAA AD 2.2 on 16 October 2026. The linked eAIP snapshot is a source for coordinates only; complete current AIP/NOTAM applicability and any future-dated amendments remain unverified. GCAA SUP 01/2026 documents eVTOL procedures at Al Bateen; this is not permission for the illustrated intercity service.

Dubai reference coordinates · Al Bateen reference coordinates · Al Maktoum reference coordinates

The supplied Kentucky partnership deck supports the product framing and identifies its interface/test examples as illustrative. No time-series dataset, equipment calibration, real inference endpoint or independently validated remaining-life output was supplied. This website demonstrates a scenario model; it does not reclassify demonstrated product capabilities as future work.

Inject event Explore simulated responses
Illustrative scenario response
Start with “Inject developing damage” in the AstraSense panel above to follow condition → capability → mission action. Optional mission events below compare scripted responses; no product benchmarks are shown.
01

Coordinated mission workflow

Same state, fault and limits; modeled comparison
Baseline threshold workflow
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AstraSense-supported workflow
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02

Mission Scenario Guide

Answers drawn only from current scenario state
03

Mission timeline

Latest decisions first

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