煤矿采空区CO传感器数据去噪方法研究

International Conference on Green Communication, Network, and Internet of Things Pub Date : 2023-03-08 DOI:10.1117/12.2667752

Zhen Xing

{"title":"煤矿采空区CO传感器数据去噪方法研究","authors":"Zhen Xing","doi":"10.1117/12.2667752","DOIUrl":null,"url":null,"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.","PeriodicalId":143377,"journal":{"name":"International Conference on Green Communication, Network, and Internet of Things","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on denoising method of CO sensor data in coal mine goaf\",\"authors\":\"Zhen Xing\",\"doi\":\"10.1117/12.2667752\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":143377,\"journal\":{\"name\":\"International Conference on Green Communication, Network, and Internet of Things\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Green Communication, Network, and Internet of Things\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2667752\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Green Communication, Network, and Internet of Things","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2667752","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

介绍了小波分析的基本知识和理论。阐述了连续小波变换和离散小波变换的定义和性质。简要说明了本文所使用的Sym8小波。然后，将小波分析应用于安全监测系统返回角CO浓度时间序列信号的预处理。结合返回角处CO浓度时间序列信号的特点，采用小波阈值去噪方法对CO浓度时间序列信号进行去噪，选择合适的阈值函数。数字、小波基函数和分解层次能有效去除噪声信号的干扰。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

International Conference on Green Communication, Network, and Internet of Things

自引率

0.00%

发文量