✣AERO / INDUSTRIAL DRONE
SIMULATION ENVIRONMENT | FACILITY 01
AUTONOMOUS AERIAL INSPECTION

Mission control.

Plan. Inspect. Detect. Return.

Factory digital environment

READY TO LAUNCH
X 10.0 m / Y 58.0 m
10 METERS
Planned routeFlight trailInspection point
BATTERY100%
ALTITUDE0.0mAssumed flight height
DISTANCE0mSimulated travel
MISSION TIME00:00Simulation clock · 2×

Mission events

0 ROUTE REPLANS

Autonomy pipeline

LIVE STATE
Plan→Navigate→Inspect→Return

A* plans a route around the facility’s occupied cells.

0 of 6 assets inspected2 m / grid cell
SOFTWARE SIMULATION RESULTS

Compare mission decisions

Three deterministic runs of the same model. Results use synthetic sensor data and an illustrative battery model.

Swipe the table sideways to see all three scenarios.

Simulated mission outcomes
MetricRoutineObstacleLow battery

Each run uses six fixed checkpoints, 4.4 m/s nominal speed, 8 m assumed flight height, a 55 °C alert threshold, and a 25% battery reserve. Times are simulated seconds. These results do not establish real flight endurance, sensor accuracy, or inspection performance.
DESIGN & CONCEPTUAL DEVELOPMENT

Automated Industrial Drone

An autonomous aerial robotic system for industrial inspection and monitoring.

Implemented in this prototype

A* route planning on a 48 × 36 occupancy grid; kinematic waypoint movement; hover-and-scan inspection; thermal threshold alerts; simulated proximity hold and replanning; battery reserve return; simulated docking; scenario comparison; guided presentation pauses; report export.

Proposed physical system

A quadcopter with a Pixhawk-class flight controller, GPS/IMU, visual camera, rangefinder, telemetry radio, and manual override. Thermal imaging and a companion computer are future upgrades. Hardware integration remains future work.

How to describe the demo

“This software simulation demonstrates our mission workflow and navigation logic. Readings are synthetic. It does not validate real flight dynamics, SLAM, sensor accuracy, precision landing, or machine-learning defect detection.”

Model assumptions

2 meters per cell · 8 m assumed cruise altitude · 4.4 m/s nominal speed · 2.8 s scan dwell · 55 °C demonstration alert threshold · 25% battery reserve · 4 m obstacle hold threshold · 1.5 s safety hover. These are classroom model parameters, not calibrated equipment limits.

Keyboard: Space continue / launch / pause · O obstacle · R return · F fullscreen
MECHATRONICS / PROPOSED PHYSICAL DESIGN

Hardware architecture.

How a quadcopter's power, sensors, controller, and actuators would support the inspection mission.

GROUND / OPERATOR Ground control station Mission planning · telemetry display · manual RC control
↕Telemetry radio / RC command links
NAVIGATION INPUT → GPS + IMU + barometer Position, acceleration, rotation, altitude estimate
CONTROL CORE Pixhawk-class flight controller Autopilot · stabilization · waypoint following · safety logic
← OBSTACLE INPUT Distance sensor Ultrasonic or LiDAR · nearby obstacle awareness
↓Motor commands from flight controller
ACTUATION 4 × ESCs Electronic speed controllers
→3-phase motor drive
FLIGHT HARDWARE 4 × BLDC motors + propellers Thrust · roll · pitch · yaw
POWER DISTRIBUTION
ENERGY SOURCE LiPo battery Electrical energy
→
POWER ROUTING Distribution + regulators High-current supply and regulated electronics power
→
ELECTRICAL LOADS ESCs, controller, sensors Plus camera and communication equipment
INSPECTION & DATA
PROPOSED PAYLOAD RGB inspection camera Captures inspection images or video
→
DATA DESTINATION Onboard storage / video link Operator reviews images and mission findings

Signal flow is conceptual, not a complete wiring diagram. The autopilot interface, voltage rails, motor ratings, airframe, and payload must be selected and validated before hardware construction.

How the hardware maps to this demo

Waypoint routeGround station + GPS/IMU + flight controller
Drone movementFlight controller → ESCs → motors + propellers
Obstacle holdDistance sensing + autopilot safety logic
InspectionCamera + recording/communication payload
Battery returnPower monitoring + configured safety response
Presentation scope · proposed hardware, simulated mission

No physical drone is connected. The software uses a predefined map, synthetic distance readings, an illustrative battery model, and synthetic thermal values. Thermal imaging and AI defect recognition are future upgrades, not implemented hardware. This view does not claim validated flight dynamics, sensor accuracy, or real-world failsafe behavior.