Noise Pollution Monitoring & Acoustic Engineering Mapping
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
Stores playing excessively loud music and construction noise disrupting customer comfort.
Draft mission flow
- 1Robot scans mall in grid pattern, taking decibel measurements at each point; 3D noise map created.
- 2Noise source localized via microphone array; classified as music/construction/mechanical sound.
- 3Automatic volume reduction warning sent to stores exceeding legal limit (85dB+) or comfort threshold.
- 4Weekly acoustic comfort report identifies noisiest zones and hours; tenant policies updated.
Proposed hardware
- Omnidirectional Microphone Array
- Decibel Meter
- HD Camera
- Vibration Sensor
- WiFi 6 Module
Proposed software
- Navigation
- Grid-based route covering sound measurement points across all mall floors
- Model
- Sound Source Localization, Noise Classification (Music/Construction/Mechanical), and Comfort Index
- Integration
- Mall Operations Center and Tenant Notification System
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.