中国安全科学学报 ›› 2021, Vol. 31 ›› Issue (7): 143-150.doi: 10.16265/j.cnki.issn 1003-3033.2021.07.020

• 公共安全 • 上一篇    下一篇

室外消火栓状态综合特征提取模型*

陈石灵1 高级工程师, 熊勇2,3 研究员, 朱磊基**2,3 副研究员   

  1. 1 上海市安全生产科学研究所 办公室, 上海 200233;
    2 中国科学院上海微系统与信息技术研究所 宽带无线通信技术实验室, 上海 200050;
    3 中国科学院 无线传感网与通信重点实验室, 上海 200050
  • 收稿日期:2021-04-06 修回日期:2021-06-10 出版日期:2021-07-28 发布日期:2022-01-28
  • 通讯作者: ** 朱磊基(1984—),男,江苏宿迁人,博士,副研究员,主要从事物联网、通信与信息系统等方面的研究。E-mail: zhuleiji@mail.sim.ac.cn。
  • 作者简介:陈石灵 (1975—),男,福建古田人,博士,高级工程师,主要从事安全生产信息化、应急管理等方面的工作。E-mail: 13816033983@139.com。
  • 基金资助:
    上海市科技创新行动计划项目(19DZ1202000,19DZ1202002)。

Comprehensive feature extraction model of outdoor fire hydrant state

CHEN Shiling1, XIONG Yong2,3, ZHU Leiji2,3   

  1. 1 Office of Shanghai Institute of Work Safety Science,Shanghai 200233, China;
    2 Broadband Wireless Communication Technology Laboratory, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences,Shanghai 200050, China;
    3 Key Laboratory of Wireless Sensor Network and Communication, Chinese Academy of Sciences,Shanghai 200050, China
  • Received:2021-04-06 Revised:2021-06-10 Online:2021-07-28 Published:2022-01-28

摘要: 室外消火栓放水、低压、超压等会影响救援取水功能,为监测其非安全状态,采用数据滤波处理技术,基于一维压力数据,实现压力均值、压力差值、压力方差、压力方差增长率等高阶多维扩展,提出一种室外消火栓状态综合特征提取模型;通过采样频率、滑动滤波窗口宽度等条件组合优化,采集不同条件下压力数据,训练拟合模型参数;将模型应用到综合信息采集智能终端装置并安装在室外消火栓动态信息化监测系统中运行测试。结果表明:该模型能够准确判断室外消火栓放水、低压、超压状态,提升室外消火栓动态信息化安全管理水平。

关键词: 室外消火栓, 压力数据, 特征提取, 多维扩展, 动态信息化监测

Abstract: In order to monitor non-safety status of outdoor fire hydrant, such as water discharge, low pressure, overpressure, etc., which affect normal use of rescue water intake function, data filtering processing technology was adopted,based on one-dimensional pressure data, high-order multidimensional expansion of pressure mean value, pressure difference, pressure variance and pressure variance growth rate were carried out, and a comprehensive feature extraction model of outdoor fire hydrant status was proposed. Through combination optimization of sampling frequency and sliding filter window width, pressure data under different conditions were collected, and fitting model parameters were trained. Model was applied to integrated information acquisition intelligent terminal device and installed in outdoor fire hydrant dynamic information monitoring system. The results show that model can accurately judge status of water discharge, low pressure and overpressure, and improve dynamic information safety management level of outdoor fire hydrant.

Key words: outdoor fire hydrant, pressure data, feature extraction, multidimensional extension, dynamic information monitoring

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