煤矿瓦斯传感信号误报识别方法研究
Research on the method of identifying false alarms in coal mine gas sensing signals
杨泽全1
作者信息
- 1. 淮北矿业(集团)有限责任公司朱仙庄煤矿,安徽淮北 235000
- 折叠
摘要
对煤矿井下安全监控传感器误报的规律和识别方法进行了研究,形成一套误报信号的智能识别理论与处置方法,对提高煤矿安全生产监控系统的稳定性、可靠性,确保煤矿生产的连续性具有非常重要的理论与实践意义.提出了基于小波降噪-DFT谱变换的传感器误报识别方法,利用自行搭建的安全监控系统模拟平台进行数据采集和有效性验证,并对常见的脉冲型、恒偏差型以及跃变型3种常见的误报信号进行了识别和信号重构.研究发现,所提出的基于小波降噪-DFT谱变换的传感器误报识别方法实现了误报信号的智能高效识别,为煤矿安全生产提供了必要的基础性保障.
Abstract
Studying the laws and diagnostic methods of false alarms in coal mine safety monitoring sen-sors,forming a set of intelligent recognition theory and disposal methods for false alarm signals,is of great theoretical and practical significance for improving the stability and reliability of coal mine safety production monitoring systems and ensuring the continuity of coal mine production.This article pro-poses a sensor false alarm recognition method based on wavelet denoising and DFT spectral transfor-mation.Data collection and effectiveness verification are conducted on a self built safety monitoring system simulation platform,and three common false alarm signals,namely pulse type,constant devi-ation type,and jump type,are diagnosed and reconstructed.Research has found that:the sensor false alarm recognition method based on wavelet denoising and DFT spectral transformation proposed in this article achieves intelligent and efficient recognition of false alarm signals,providing necessary bas-ic guarantees for coal mine safety production.
关键词
小波降噪/DFT/误报/识别/传感器Key words
wavelet denoising/DFT/misreporting/recognition/sensor引用本文复制引用
出版年
2024
NETL
NSTL
万方数据