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Reducing the analytical burden

Data analysis software based on years of experience

Because of the large amount of labor and training required for aggregating and analyzing aircraft noise, the burden on those in charge of such tasks has become incredibly large in recent years.
Nihon Onkyo Engineering's analysis software included as standard with aggregation systems is based on an extensive history of performing aircraft noise data analysis. The information necessary for analysis is organized and laid out for easy viewing, allowing for intuitive and efficient, hassle-free system operation.

Nihon Onkyo Engineering's most basic aircraft noise aggregation system enabling tabulation and analysis can generally be used even on office PCs that only accept basic software.
The main features that can be used to improve operations are as follows.

  • Easy-to-use GUI for efficient selection of target aircraft noise data
  • Visualization of measurement data supporting sorting work
  • Listening function for actual sounds linked to the listed measurement data
  • Various forms (daily reports, monthly reports, annual reports, etc.) that can be output in file formats used by commercial spreadsheet software

Cost reductions through advanced efficiency

Automatic measurements and aggregation are performed daily, so the system is able to extract and present only data that require manual analysis from the analysis target data, which tends to be extensive. Using Nihon Onkyo Engineering's system to perform advanced analysis, any user--even those not familiar with aircraft noise analysis--is able to obtain analysis results with accuracy as high as those obtained by an experienced analyst. This makes it possible to both reduce costs and obtain highly accurate analysis results.

Prioritize data with greater impact

Rather than analyzing all data in order, users can analyze the data beginning with data that had the greatest noise impact on the measurement results. This efficiently prevents large errors from being incorporated in the aggregated results.

Efficiency improvements through statistical methods

This statistical method determines the probability of whether the data is aircraft noise or not, through statistical processing of aircraft noise data previously analyzed manually, and then by making predictive models of aircraft noise and comparing each data set with the prediction model.

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