Warehouse Forgotten Lighting and Energy Waste Audit
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
Energy waste and carbon footprint caused by unnecessary lighting left on 24/7 in large warehouses.
Draft mission flow
- 1The robot roams empty warehouse corridors during night shift; measures lighting level in each corridor with lux meter.
- 2Checks human presence in the area with infrared motion sensor; detects lights left on without human presence.
- 3Unnecessary lighting shutdown command or warning sent to BMS; energy waste points mapped.
- 4Weekly energy savings report generated; data-driven optimization suggestions presented for lighting automation scenarios.
Proposed hardware
- Lux Meter Sensor
- HD Optical Camera
- Infrared Motion Sensor
- LiDAR L2
Proposed software
- Navigation
- Night shift autonomous energy audit patrol in warehouse corridors
- Model
- Area Occupancy Analysis and Unnecessary Lighting Detection (Lux/Human Correlation)
- Integration
- BMS Lighting Control and Energy Billing System
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.