Environmental noise collection and analysis test system

Abstract

The invention discloses an environmental noise collection and analysis test system, which comprises a plurality of distributed noise collection modules and a central analysis module, and is characterized in that a signal directional collection sub-module, a preprocessing sub-module and a network communication sub-module are arranged in each distributed noise collection module, the signal directional collection sub-module converts analog signals of audio signals into digital signals and sends the digital signals to the preprocessing sub-module, and the preprocessing sub-module classifies frequency spectrum and phase characteristics in the digital signals so as to output a classification structure, then searches unequal data labels of adjacent distributed noise collection modules and adds the data labels into the classification structure to form an exchange structure, and sends the exchange structure and the audio signals to the central analysis module for analysis through the network communication sub-module. According to the invention, the signal is preprocessed while the noise signal is collected, so that the central analysis module can obtain comprehensive signal data input with less interference and difference.

Description

technical field [0001] The invention belongs to the field of testing, and specifically relates to an environmental noise collection and analysis test system. Firstly, the distributed noise collection module collects noise in the cabin environment and preliminarily processes the noise signal, and then the central analysis module performs visual analysis and output of the noise data. . Background technique [0002] There are a variety of noises in the cabin environment of civil aircraft, such as a variety of audible noise signals generated by external pneumatics, power systems, and air valve adjustments. In order to test whether the airborne intercom system can meet the specified sound quality, volume and other design requirements in a noisy environment, it is necessary to collect and analyze the noise in the noise environment simulated on the ground, so as to better guide the design of the intercom system . [0003] In the propagation of sound waves in the cabin, many facto...

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Problems solved by technology

Such a difference may be small, but in a system using machine learning, the feature representation of the input data is strictly required, because a large amount of input data needs to be used to train and verify the algorithm model, so small errors will be effective for the training of the algorithm through accumulation sex has an impact

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