Handheld traffic noise analysis and measurement equipment with artificial intelligence driven non-traffic noise elimination function

Abstract

The invention relates to the field of noise measurement and analysis, in particular to a handheld device for measuring and analyzing traffic noise and eliminating the influence of non-traffic noise. A handheld traffic noise analysis and measurement device with an artificial intelligence driven non-traffic noise elimination function comprises a microphone array used for collecting traffic noise and non-traffic noise; the data acquisition and storage system is used for storing the acquired noise data; the artificial intelligence processing unit is used for analyzing and processing the noise data and identifying non-traffic noise; and the display unit is used for displaying analysis results of the traffic noise and the non-traffic noise. According to the device, the non-traffic noise can be effectively eliminated by adopting an artificial intelligence driven non-traffic noise elimination method, so that the accuracy of traffic noise analysis and measurement is improved. The device adopts a handheld design, and is convenient to carry and use. The equipment adopts an artificial intelligence technology, automatic analysis can be realized, and the working efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of noise measurement and analysis, and in particular to a handheld device for measuring and analyzing traffic noise and eliminating the influence of non-traffic noise. Background Art

[0002] Traffic noise is one of the main sources of urban environmental noise, which has a serious impact on people's lives and health. Therefore, effective analysis and measurement of traffic noise are of great significance for formulating traffic noise control measures. At present, the commonly used methods for traffic noise analysis and measurement mainly include: the sound level meter method and the spectrum analysis method. The sound level meter method is simple and easy to implement, but it is greatly affected by the measurement environment and the accuracy is not high. The spectrum analysis method can more accurately reflect the characteristics of traffic noise, but it requires complex instrument equipment and the operation is also relatively complex. Summary of the Invention

[0003] The object of the present invention is to provide a handheld traffic noise analysis and measurement device with an artificial intelligence-driven non-traffic noise elimination function, which can effectively eliminate non-traffic noise, thereby improving the accuracy of traffic noise analysis and measurement. The specific technical solutions of the present invention are as follows: The microphone array is used to collect traffic noise and non-traffic noise. The microphone array can be composed of multiple microphones to improve the accuracy of noise collection. The data acquisition and storage system is used to store the collected noise data. The data acquisition and storage system can adopt methods such as memory cards and cloud storage. The artificial intelligence processing unit is used to analyze and process the noise data and identify non-traffic noise. The artificial intelligence processing unit can adopt technologies such as deep learning to extract features and classify the noise data. The display unit is used to display the analysis results of traffic noise and non-traffic noise. The display unit can adopt methods such as liquid crystal displays and touch screens. Embodiment

[0004] The following are the specific embodiments of the present invention: The microphone array is composed of 6 microphones, and the array spacing of the microphone array is 0.5 meters. The data acquisition and storage system uses a memory card for storage, and the capacity of the memory card is 128 GB. The artificial intelligence processing unit adopts a convolutional neural network, the size of the convolutional kernel is 3*3, and the number of convolutional layers is 10 layers. The display unit adopts a liquid crystal display, and the size of the display screen is 5 inches. Advantages

[0005] The present invention has the following advantages: By adopting the method of artificial intelligence-driven non-traffic noise elimination, non-traffic noise can be effectively eliminated, thereby improving the accuracy of traffic noise analysis and measurement. By adopting a handheld design, it is convenient to carry and use. By adopting artificial intelligence technology, automated analysis can be realized, improving work efficiency. Conclusion

[0006] The present invention provides a handheld traffic noise analysis and measurement device with an artificial intelligence-driven non-traffic noise cancellation function. This device has the following advantages: it can effectively cancel non-traffic noise, improve the accuracy of traffic noise analysis and measurement, is convenient to carry and use, can achieve automated analysis, and improve work efficiency. This device has broad application prospects and can be used in fields such as traffic noise monitoring and traffic noise control.

Claims

1. A handheld traffic noise analysis and measurement device with artificial intelligence-driven non-traffic noise cancellation function, Characterized in that, Comprising: A microphone array for collecting traffic noise and non-traffic noise; A data acquisition and storage system for storing the collected noise data; An artificial intelligence processing unit for analyzing and processing the noise data and identifying non-traffic noise; A display unit for displaying the analysis results of traffic noise and non-traffic noise.

2. The device according to claim 1, Characterized in that, The microphone array is composed of multiple microphones, and the array pitch of the microphone array is [0.5 - 1] meters.

3. The device according to claim 1, Characterized in that, The data acquisition and storage system uses [memory card, cloud storage] for storage.

4. The device according to claim 1, Characterized in that, The artificial intelligence processing unit uses technologies such as [deep learning, machine learning] to extract features and classify the noise data.

5. The device according to claim 1, Characterized in that, The display unit uses methods such as [liquid crystal display screen, touch screen].

6. The device according to claim 1, Characterized in that, The artificial intelligence processing unit uses a convolutional neural network, and the size of the convolutional kernel is [3 3-5 5], and the number of convolutional layers is [10 - 20] layers.

7. The device according to claim 1, Characterized in that, The artificial intelligence processing unit is trained using methods such as [manual annotation, unsupervised learning].

8. The device according to claim 1, Characterized in that, The artificial intelligence processing unit can also identify different sources of traffic noise, such as vehicle driving noise, mechanical equipment noise, etc.