主管：中华人民共和国应急管理部
主办：应急管理部天津消防研究所
ISSN 1009-0029  CN 12-1311/TU
消防科学与技术

消防科学与技术 ›› 2021, Vol. 40 ›› Issue (4): 544-547.

• • 上一篇    下一篇

主动式火灾光电探测信号基线漂移滤除和去噪方法研究

刘欣1，刘建翔1，张国维2，李绍鹏1，薛莹1   

  1. 1. 齐鲁工业大学（山东省科学院），山东省科学院自动化研究所，山东济南250014；2. 中国矿业大学安全工程学院，江苏徐州221116
  • 出版日期:2021-04-15 发布日期:2021-04-15
  • 作者简介:刘欣（1988-），女，山东济南人，山东省 科学院自动化研究所助理研究员，硕士，主要从事火灾自 动灭火、气体检测、激光光谱等研究，山东省济南市历下区 科院路19 号，250014。
  • 基金资助:
    山东省科学院-威海市产学研协同创新项目（2020-CXY03）;山东省科学院-东营区产学研协同创新项目（2020-CXY27）

Research on the baseline drift filtering and denoising methods for active fire photoelectric detection signal

LIU Xin1, LIU Jian-xiang1, ZHANG Guo-wei2, LI Shao-peng1, XUE Ying1   

  1. 1. Institute of Automation, Qilu University of Technology (Shandong Academy of Sciences), Shandong Jinan 250014, China; 2. School of Safety Engineering, China University of Mining and Technology, Jiangsu Xuzhou 221116, China
  • Online:2021-04-15 Published:2021-04-15

摘要： 针对数据中心机柜的主动式火灾光电探测报警系统降低误报率和提高检测精度的需求，设计极早期火灾探测腔体结构，完成光电检测数字电路硬件，采集光电信号，分别采用集合经验模态分解（EEMD）算法和小波分析算法来滤除低频基线漂移和降低背景白噪声。经过对比计算处理后信号的相关性和信噪比，结果表明，在本文所述数据采集密度下，EEMD 方法的性能明显优于小波分析方法，可有效地降低误报率和提高检测精度，实现对火灾的“极早期”探测和预警。

关键词: 火灾探测, 基线漂移, 数据中心机柜, 光电信号

Abstract:  In order to reduce the false alarm rate and improve the detection accuracy, aiming at the suction smoke sensor system of data center cabinet, a very early fire detection cavity structure was designed. The photoelectric detection digital circuit hardware was completed, and the photoelectric signal was collected. The ensemble empirical mode decomposition (EEMD) algorithm and wavelet analysis algorithm were used respectively to filter the baseline shift and reduce the background noise.After comparing and calculating the correlation and signalto- noise ratio, the results show that the performance of the EEMD method is significantly better than the wavelet analysis method, which can effectively reduce the false alarm rate and improve the detection accuracy, and realize the "very early" detection and warning of fire. 

Key words:  , fire detection, baseline drift, data center cabinet, photoelectric signal