Concept scenario
Ship Engine Room Autonomous Inspection Tour
Scenario record: it defines the environment, the mission flow and a proposed hardware and software configuration. The list below is a configuration proposal, not an installation inventory. Field projects lists deployed systems and their measurements.
- Environment
- Outdoor field
- Operating mode
- Supervised autonomy
- Proposed robot
- Unitree A2
The problem addressed
Ship engine room 24/7 inspection need and fault oversight from personnel fatigue.
Draft mission flow
- 1The robot patrols autonomously in the ship engine room; scans thermal profiles of main engine, generators, pumps, and compressors.
- 2Listens for bearing wear, cavitation, and out-of-spec vibration anomalies with acoustic sensor.
- 3Detects fuel leaks and exhaust gas leaks with gas detector; reports to bridge alarm system.
- 4Maintenance prediction transmitted to PMS; maintenance plan for next port optimized.
Proposed hardware
- Radiometric Thermal Camera
- Acoustic Sensor
- Multi-Gas Detector
- IP67 Marine Protection
Proposed software
- Navigation
- Balanced SLAM adapting to ship oscillation in engine room narrow passages
- Model
- Engine/Pump Thermal Profile and Acoustic Vibration Anomaly Detection
- Integration
- Ship Bridge Alarm System and Planned Maintenance System (PMS)
The robot's real operating limits
Unitree A2
Industrial Class Legged Robot
Product page- Ingress rating
- IP56-IP67
- Runtime
- >5 hours (No load) / >3 hours (25kg Load)
- Operating temperature
- -20°C to 55°C
- Payload
- 100 kg
- Max speed
- 5 m/s
- Climb
- 45°
Values are manufacturer data. Scenario fit is determined by comparing these limits with site conditions.
From scenario to installation
Feasibility is determined by the site survey: floor and route, network coverage, the charging point, intervention responsibilities and the conditions under which the robot must stop. The survey report defines the scope, the constraints and the commissioning steps.