Aircraft Noise Calculator

The noise measurement data of the single fly-over aircraft noise levels are fundamental noise events information to understand the existing situation of noise from aircraft operations under the major flight path near the airport. As a background study of the Thai version of the community's aircraft noise measurement guidelines, the standardized noise measurement method is explained under ISO 20906 as well. The noise situation at the receiver sites in communities may need to be gathered under the major flight route in order to provide the noise data to the noise effect assessment study, the social survey, the noise-dose relationship study, and other purposes. The post-processing algorithm that uses a two-step clustering approach to determine the individual fly-over aircraft noise events in sound exposure levels from the time series of the 100 milliseconds A-weighted sound pressure levels by sound level meter in compliance with ISO/IEC 61672 class 1 is illustrated in Figure 1. It will be useful for post-assessing the cumulative aircraft noise events in other sound descriptors as stated in ISO 1996 for environmental noise purposes. The research study is still in progress, and an algorithm that can more accurately determine the noise level from airplanes is now being developed. New datasets from various brands of sound level meters at various measurement places are used to evaluate the suggested algorithms. This allows the model to learn from the new datasets with their unique differences, resulting in future models that are more accurate and efficient.

Contributions :

• Development of an analytical model for aircraft noise detection and calculation using a machine learning algorithm, including K-means clustering, DBSCAN clustering, and the IQR outlier method.
• Programming language: Python programming on time series data in development of aircraft noise calculator
• Pollution control and management: aircraft noise datasets from noise measurement devices, so-called the sound level meter (SLM), using the standard method on ISO 20906 are analyzed.

This research project has papers presented at international conferences. This lab member's publications are available for viewing if you're interested. (Reference: https://www.ica2022korea.org/sub_proceedings.php)