Suspended Ceiling Panel Loosening & Fall Risk Detection
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
- Indoor, public area
- Operating mode
- Supervised autonomy
- Proposed robot
- Unitree AS2
The problem addressed
Risk of suspended ceiling panels falling on customers: rare but high-impact safety hazard.
Draft mission flow
- 1Robot scans suspended ceiling panels with upward camera and 3D LiDAR; tilted, shifted, or sagging panels detected.
- 2T-bar (support profile) deformations and overloaded points identified via thermal and geometric analysis.
- 3High fall-risk panels reported as red alerts; security cordon recommended for area below.
- 4Panels moving due to seasonal thermal expansion monitored via trend analysis.
Proposed hardware
- 3D LiDAR
- HD Upward Camera
- Ultrasonic Sensor
- Thermal Camera
- Vibration Sensor
Proposed software
- Navigation
- Upward scanning navigation covering suspended ceiling surface across all mall floors
- Model
- Panel Tilt/Slip Anomaly Detection, T-Bar Deformation Analysis, and Weight Imbalance Estimation
- Integration
- Mall Structural Safety System and Ceiling Maintenance Work Order Platform
The robot's real operating limits
Unitree AS2
Industrial Capacity in a Compact Chassis
Product page- Ingress rating
- IP54
- Runtime
- >4 hours (No load)
- Operating temperature
- -20°C to 50°C
- Payload
- Up to 65 kg
- Max speed
- >5 m/s
- Climb
- 40°
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.