Real-time detection method of smoke based on Wi-Fi

Zhefu WU; Wanli TANG; Cheng CHEN; Luping FANG

doi:10.11959/j.issn.1000-0801.2019150

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Real-time detection method of smoke based on Wi-Fi

research and development | 更新时间：2024-06-05

- Real-time detection method of smoke based on Wi-Fi
- Telecommunications Science Vol. 35, Issue 6, Pages: 70-77(2019)
- 作者机构：
  
  1. 浙江工业大学信息学院，浙江杭州 310023
  2. 华信咨询设计研究院有限公司，浙江杭州 310052
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2019150
  CLC： TN929
- Published Online：2019-06，
  
  Published：20 June 2019
- 稿件说明：
移动端阅览
Zhefu WU, Wanli TANG, Cheng CHEN, et al. Real-time detection method of smoke based on Wi-Fi[J]. Telecommunications science, 2019, 35(6): 70-77.
DOI：

Zhefu WU, Wanli TANG, Cheng CHEN, et al. Real-time detection method of smoke based on Wi-Fi[J]. Telecommunications science, 2019, 35(6): 70-77. DOI： 10.11959/j.issn.1000-0801.2019150.

摘要

与火灾相关的烟雾实时检测方法是保障公共安全的重要手段之一。针对现有火灾传感器系统的高成本和视频探测的拍摄盲区等问题，提出了一种基于 Wi-Fi 网络信道状态信息的火灾烟雾检测方法。该方法无需专用的火灾烟雾监测设备，通过研究火灾烟雾对无线传输信号的影响，提取信道状态信息中的烟雾特征参数并应用机器学习进行分类，从而实现环境火灾实时监测的目的。实验结果表明，基于 Wi-Fi 信道状态信息的环境烟雾检测准确率可达98.06%。

Abstract

Fire-related smoke real-time detection method is one of the important means to ensure public safety.A fire smoke detection method based on channel state information of Wi-Fi network was proposed to avoid the high cost of existing fire sensor system or the blind spot of video detection.The method need not require a dedicated fire smoke monitoring device.By studying the influence of fire smoke on wireless transmission signals

the smoke characteristic parameters in the channel state information were extracted and classified by machine learning

thereby realizing the real-time monitoring of environmental fire.The experimental results show that the accuracy of environmental smoke detection based on Wi-Fi channel status information can reach 98.06%.

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references

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