Monitoring these and other similar forms of pollution makes it possible to control them more effectively to reduce their impact on local communities and the wider environment.
Environmental monitoring also has a role to play in protecting biodiversity.
Construction worksites are noisy places and controlling the impact of this on the surrounding environment is critical for compliance.
Noise sensors can detect whether acoustic levels exceed acceptable limits. This extends to monitoring vibrations caused by worksite employees and machinery.
They also play an important role to protect sensitive infrastructure or buildings such as hospitals, manufacturing plants and rail traffic control centres from excess vibrations. Noise sensors can even detect the presence of land or aquatic animals, making them a useful tool for protecting wildlife.
In urban environments, sensors help to control dust levels and improve air quality when installed as part of complete weather stations. Sensors that monitor water and soil pollution are essential to any environment where there is human activity, either current or – in many cases – past.
Noise measurement spans the measurement of class I or II noise, dB(A), frequencies, trends over time, audio recordings and noise source identification.
Vibration measurement methods are: PPV (Peak Particle Velocity) or single axis / 3-axis displacement and acceleration. Change over time, frequency analysis and modal analysis are also possible.
Dust measurements are used to identify the concentrations of TSP, PM10, PM2.5 and PM1 particulates. Optical laser measurement is another possibility.
Meteorological measurements include conventional and ultrasonic measurements, wind speed and direction, temperature, atmospheric pressure and humidity.
developed from 20 years of experience and in-house development
as a result of our extensive network throughout France
from installation to provision of pre-processed data in an accessible webspace
committed to continual development of solutions more closely aligned with the practical challenges of our clients
built around data quality control and monitoring