Airport & Aircraft Noise Monitoring

Construction not only promotes urban development but also brings about noise pollution issues, especially in noise-sensitive areas such as communities, schools, and hospitals, where the impact of these issues is more pronounced. CRYSOUND.
Noise level monitoring

Noise level monitoring

The sound level meter monitors airport noise indicators, including LAmax, Td, LAE, LAS, and more. The data is transmitted via wireless or wired networks to data centers for statistical analysis, which facilitates the assessment of airport noise levels.

Optional Configuration: The sound level meter can be used with an outdoor microphone and shield for additional measurement capabilities.

Data recording and analysis:The monitoring data are recorded in detail and statistical analysis is performed to assess the trend and scope of the noise level.

Noise level monitoring
Automatic Flight Event Identification

Automatic Flight Event Identification

The device integrates with radar data and flight information, using noise data from monitoring points to automatically and accurately identify flight events.

Pattern Recognition:Using machine learning or deep learning algorithms, the collected data is analyzed to identify and classify flight noise events.

Message Feedback:The identification results can be fed back to airport operations management in real -time for noise management and decision support.

Automatic Flight Event Identification
Noise Level Exceedance Identification

Noise Level Exceedance Identification

The device intelligently recognizes a range of sound sources, including aircraft noise, traffic noise, and natural environmental sounds. When used in conjunction with a sound source tracker, it accurately determines the direction of these sound sources, offering robust data support for addressing resident complaints, collecting evidence, and enforcing regulations.

Accurate measurement:A high-precision sound level meter or other noise monitoring device is used to ensure the accuracy of measurement results.

Data analysis:The collected noise data is analyzed to identify noise patterns, peaks, and durations.

Noise Level Exceedance Identification
Noise Monitoring: Early Warning Functionality

Noise Monitoring: Early Warning Functionality

A sound level meter can issue early warnings for noise complaints or special events, identify the primary causes through noise monitoring data and flight track analysis. It also can recommend targeted noise reduction measures and solutions.

Default threshold:The system sets allowable thresholds for noise levels based on local noise control standards or regulations.

Alarm system:When the noise exceeds the standard, the system will automatically trigger the alarm, notify the relevant personnel, or automatically start the corresponding countermeasures.

Noise Monitoring: Early Warning Functionality

System Devices

Explore More Cases

Construction not only promotes urban development but also brings about noise pollution issues, especially in noise-sensitive areas such as communities, schools, and hospitals, where the impact of these issues is more pronounced. CRYSOUND.
Industrial noise generated by various utilities will affect the quality of life of surrounding communities. Monitoring the noise sources and the time periods of noise occurrence, and reasonably controlling noise pollution can promote the friendly coexistence of industry and community. CRYSOUND.
Long-term exposure to excessive noise can lead to hearing damage in workers. Measuring the noise levels and distribution in the workplace helps to understand the real noise exposure levels of workers, protecting their health. CRYSOUND.
Traffic noise affects everyone’s daily work and life. Measuring and recording traffic noise data can help assess the noise status and design noise control strategies.‍ CRYSOUND.

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If you are interested or have questions about our products, book a demo and we will be glad to show how it works, which solutions it can take part of and discuss how it might fit your needs and organization.

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