Developed by Landun Enterprise, the LGH-11 Automatic Environmental Noise Monitoring System is a high-performance integrated monitoring solution built for continuous real-time ambient noise surveillance. Equipped with IoT sensing and wireless communication technologies, it unifies noise detection, data collection and remote data transmission within a single compact cabinet unit.
· Real-time full-index noise measurement, supporting concurrent A/B/C/Z frequency weighting and Fast/Slow/Impulse time weighting
· Captures comprehensive acoustic indicators: SPL, LEQ, Max, Min, Peak, SD, SEL, E and LN statistical percentile values
· Standard Class 1 high-precision noise measurement unit; interchangeable Class 2 sensor unit available as an option
· Expandable spectrum analysis function for over-limit noise incidents, compatible with octave band and 1/3 octave band analysis
· Auto audio recording & cloud upload triggered by noise threshold violations; built-in electrostatic excitation self-test and automatic calibration functions
· Large-capacity built-in lithium backup battery that sustains stable instrument operation for over 24 hours during power cuts
· Customizable optional modules to match diverse project demands: traffic flow monitoring, meteorological parameter acquisition, outdoor LED display, GPS/Beidou positioning, sound source identification, video surveillance, dust monitoring and sound source localization
· Dual remote data transmission modes: 4G cellular network and Ethernet
· Cloud monitoring platform supports data presentation via GIS map or table view; features massive local storage, historical data export and on-site audio playback
· Supports remote firmware upgrades and remote parameter tuning for core critical operating settings
Urban Functional Zone Ambient Noise Monitoring |
Industrial Enterprise Boundary Noise Emission Supervision |
Road Traffic Noise Detection |
Perimeter Noise Monitoring For Airports |
Construction Site Noise Control |
Community Living Noise Surveillance |
All Other Environmental Noise Research & Assessment Scenarios |