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Research on the Application of Noise Monitoring System Along Railway Tracks Based on Real-Time Data Acquisition and Processing

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Communications, Signal Processing, and Systems (CSPS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1033))

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Abstract

In order to solve the problem of whether the environmental noise along the railway exceeds the standard, a noise monitoring system along the railway has been designed that can achieve the integration of noise data acquisition, A/D conversion, Ethernet transmission, algorithm processing, data storage, and interface monitoring. The system uses ADS1256, TMS320VC5509, and ADR4525 chips to complete system signal conditioning, signal conversion, and signal processing, and completes data network transmission to the OneNet cloud through the Ethernet module W5500. The upper computer of the system uses VS.NET and C# to achieve cloud data reading, and the lower computer implements DPS data processing through the CCS6 environment and C program. The system test shows that the data acquisition accuracy is 0.2 level, and the maximum frequency division vibration level and Z vibration level values are used as noise research and judgment indicators to meet the system monitoring purpose.

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Acknowledgements

This work was supported in part by Suzhou University Doctoral Research Initiation Fund Project 2023BSK023. Natural Research Science Institute of Anhui Provincial Department of Education 2022AH051379.

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Correspondence to Xiaomei Zhang .

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Du, Y., Liang, W., Zhang, X., Liu, W., Sun, H. (2024). Research on the Application of Noise Monitoring System Along Railway Tracks Based on Real-Time Data Acquisition and Processing. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_28

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  • DOI: https://doi.org/10.1007/978-981-99-7502-0_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7555-6

  • Online ISBN: 978-981-99-7502-0

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