Study on denoising method of CO sensor data in coal mine goaf

Zhen Xing

doi:10.1117/12.2667752

8 March 2023 Study on denoising method of CO sensor data in coal mine goaf

Zhen Xing

Proceedings Volume 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022); 1258608 (2023) https://doi.org/10.1117/12.2667752
Event: Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 2022, Xiangtan, China

Abstract

The basic knowledge and theory of wavelet analysis are introduced. The definitions and properties of continuous wavelet transform and discrete wavelet transform are expounded. The Sym8 wavelet used in this paper is briefly explained. Then, the wavelet analysis is applied to the pretreatment of CO concentration time series signal in the return corner of the safety monitoring system. Combining with the characteristics of CO concentration time series signal in the return corner, the wavelet threshold denoising method is used to denoise the CO concentration time series signal, and the appropriate threshold function is selected. Number, wavelet basis function and decomposition level can effectively remove the interference of noise signal.

Citation Download Citation

Zhen Xing "Study on denoising method of CO sensor data in coal mine goaf", Proc. SPIE 12586, Second International Conference on Green Communication, Network, and Internet of Things (CNIoT 2022), 1258608 (8 March 2023); https://doi.org/10.1117/12.2667752

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