Skyrail noise processing method and device, apparatus and storage medium

Abstract

The invention provides a skyrail noise processing method and device, an apparatus and a storage medium. The noise processing method comprises: acquiring a noise signal of a skyrail and a place where the skyrail operates, and analyzing the noise signal to obtain the frequency of the noise signal; when it is detected that the skyrail is in an inter-station operation process and the noise signal includes a high-frequency noise signal having a frequency greater than a first preset frequency, generating and outputting a sub-harmonic sound signal according to the frequency of the high-frequency noise signal; and when it is detected that the skyrail is in an arrival process or a departure process, outputting a corresponding masking sound signal. The method uses different noise elimination modes according to the different locations of the skyrail, thereby creating a good sound environment and further improving passenger comfort.

Description

technical field [0001] The present invention relates to the technical field of noise reduction, in particular to a noise processing method, device, equipment and storage medium for cloud rails. Background technique [0002] As a new type of public transportation, cloud rail provides an effective solution to the problem of urban congestion. Skyrail is known as the "magic tool for traffic congestion control". Compared with the previous rail transit, Skyrail has many advantages, such as low cost, short construction period, less space occupation and less noise pollution. [0003] For the noise treatment methods of traditional rail vehicles in the past, the structure optimization in the early stage of design and the acoustic packaging treatment in the later stage are generally used. Conduct sound absorption treatment, etc. [0004] The existing technology has achieved good results in noise treatment, but the effect is not ideal for the special noise generated by the motor in th...

AI Technical Summary

Problems solved by technology

However, physical noise reduction is restricted by the heat dissipation index of the motor, so it can only be used to a limited extent, and the high-frequency noise of the motor still cannot meet the ideal requirements

On the other hand, since the frequency of the motor noise is very high and the wavelength is very short, it is difficult to capture its phase to generate an anti-phase sound wave to actively cancel it. There are a lot of calculations, and the algorithm is difficult to implement. Even if the algorithm can be implemented, the hardware requirements will be high and the cost will be high.

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