Design of home fire detection system based on wireless multi-sensor data fusion

Wenbin CHENG; Lei DU; Yiyi LIU

doi:10.11959/j.issn.1000-0801.2017231

您当前的位置：

首页 >

文章列表页 >

Design of home fire detection system based on wireless multi-sensor data fusion

Operation technology wide Angle | 更新时间：2024-06-05

- Design of home fire detection system based on wireless multi-sensor data fusion
- Telecommunications Science Vol. 33, Issue 9, Pages: 174-181(2017)
- 作者机构：
  
  1. 电子科技大学中山学院机械电子工程学院，广东中山 528400
  2. 电子科技大学机械电子工程学院，四川成都 611731
  3. 东莞理工学院城市学院，广东东莞 523419
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2017231
  CLC： TP393
- Published Online：2017-09，
  
  Published：20 September 2017
- 稿件说明：
移动端阅览
Wenbin CHENG, Lei DU, Yiyi LIU. Design of home fire detection system based on wireless multi-sensor data fusion[J]. Telecommunications science, 2017, 33(9): 174-181.
DOI：

Wenbin CHENG, Lei DU, Yiyi LIU. Design of home fire detection system based on wireless multi-sensor data fusion[J]. Telecommunications science, 2017, 33(9): 174-181. DOI： 10.11959/j.issn.1000-0801.2017231.

摘要

针对现有火灾检测系统常出现的误报警和漏报警情况以及传统的有线火灾检测系统布线复杂、成本高、灵活性差等缺点，设计了一套基于无线多传感器数据融合的家庭火灾检测系统，检测厨房设备、电器线路或电器设备老化等造成的火灾安全隐患。详细介绍了多传感器融合算法的设计、火灾检测系统硬件框架和软件实现等。仿真结果表明，该方案具有准确度高、灵活性强的特点。

Abstract

Aiming at the shortcomings of false alarm and leakage alarm in the existing fire detection system and the complicated wiring

high cost and poor flexibility of the traditional wired fire detection system

a set of home fire detection system based on wireless multi-sensor data fusion was designed

to detect the fire safety hazards caused by kitchen equipment aging

electrical wiring aging or electrical equipment aging.The design of multi-sensor data fusion algorithm

fire detection system hardware framework and software implementation were described in detail.The simulation results show that the scheme has the characteristics of high accuracy and flexibility.

关键词

Keywords

references

JIANG L , JIN J X , WANG Y X . Multi-sensor fireproof alarm system [C ] // International Conference on Applied Superconductivity and Electromagnetic Devices,Dec 14-16,2011,Sydney,NSW,Australia . New Jersey:IEEE Press , 2011 : 248 - 251 .

葛阳 , 李大刚 . 智能家居433 MHz射频通信协议栈设计与网关实现 [J ] . 电信科学 , 2015 , 31 ( 9 ): 130 - 136 .

GE Y , LI D G . Design of 433 MHz communication protocol and implementation of gateway in intelligence home [J ] . Telecom-munications Science , 2015 , 31 ( 9 ): 130 - 136 .

LIANG Y H , TIAN W M . Multi-sensor fusion approach for fire alarm using BP neural network [C ] // International Conference on Intelligent Networking and Collaborative Systems,Sept 7-9,2016,Ostrawva,Czech Republic . New Jersey:IEEE Press , 2016 : 7 - 9 .

谷建荣 , 杜成宝 . 模糊控制技术在模拟量火灾报警系统中的应用 [J ] . 原子能科学技术 , 2000 , 34 ( 5 ): 439 - 444 .

GU J R , DU C B . Application of control in the analogue fire alarm system [J ] . Atomic Energy Science and Technology , 2000 , 34 ( 5 ): 439 - 444 .

赵庶旭 , 党建武 , 张振海 , 等 . 神经网络—理论、技术、方法及应用 [M ] . 北京 : 中国铁道出版社 , 2013 .

ZHAO S X , DANG J W , ZHANG Z H , et al . Neural net-work-theory,technology,method and application [M ] . Beijing : China Railway PressPress , 2013 .

朱凯 , 王正林 . 精通 MATLAB 神经网络 [M ] . 北京 : 电子工业出版社 , 2010 .

ZHU K , WANG Z L . Proficient in MATLAB neural net-works [M ] . Beijing : Electronics Industry PressPress , 2010 .

龚利英 . 基于模糊神经网络的智能家居防火系统研究 [D ] . 广州:华南理工大学 , 2012 .

GONG L Y . Study on the smart household fire prevention sys-tem based on fuzzy-neural network [D ] . Guangzhou:South China University of Technology , 2012 .

吴龙标 , 方俊 , 谢启源 . 火灾探测与信息处理 [M ] . 北京 : 化学工业出版社 , 2006 .

WU L B , FANG J , XIE Q Y . Fire detection and information processing [M ] . Beijing : Chemical Industry PressPress , 2006 .

Views

886

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Design of 433 MHz Communication Protocol and Implementation of Gateway in Intelligence Home

Influence maximization algorithm of social networks based on Transformer model

Application on text classification of telecom user complaints based on GRW and FastText model

Antenna azimuth diagnosis based on multi-layer perceptron model

Optical fiber eavesdropping detection method based on machine learning

Related Author

Dagang Li

Yang Ge

YAN Chenxue

YAO Yao

YU Shuke

Xiaojun YANG

Jin ZHAO

Xiangrong CHEN

Related Institution

School of Computer,University of Electronic Science and Technology of China,Zhongshan Institute

School of Electronics and Information, Jiangsu Vocational College of Business

Wuxi Power Supply Company,State Grid JiangSu Electric Power Co.,Ltd.

State Key Laboratory of Information Photonics and Optical Communications,Beijing University of Posts and Telecommunications

Power Information Technology Co., Ltd., Beijing , China

⁰