Abstract
Traffic sound barrier is an effective measure for suppressing road or railway traffic noise. The data measured from the inner acceleration sensor of sound barrier, is used for detecting the sound barrier’s working state. But the data usually exists error, and will cause difficulties for maintaining the sound barriers specifically. Based on simulation and numerical integration on existing acceleration data, this paper get the sound barrier movement characteristic curve. And as integrated use of iterations average filter model, high pass filter model, delay correction model and amplitude correction model, a data calibration model is constructed to calibrate the data error. Finally, the model test experiments are implemented on the experimental data of traffic sound barrier state, and achieved good effects.
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Acknowledgements
This article is supported by “the Fundamental Research Funds for the Central Universities (WUT: 2014-IV-094)” and “China Western Project (NO. 108-45120691)”. We thank for the supports.
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He, Q., He, Z., He, D., Hu, C., Wu, B. (2016). Research on Data Calibration Model for the Working State Detection About Traffic Sound Barrier. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_51
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DOI: https://doi.org/10.1007/978-3-662-49155-3_51
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