• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 20 Issue 4
Aug.  2007
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Article Contents
JIA Nian, LUO Xiaohui, CHENG Huayou. Intelligent Fire Alarm System Based on MSA System[J]. Journal of Southwest Jiaotong University, 2007, 20(4): 452-455.
Citation: JIA Nian, LUO Xiaohui, CHENG Huayou. Intelligent Fire Alarm System Based on MSA System[J]. Journal of Southwest Jiaotong University, 2007, 20(4): 452-455.

Intelligent Fire Alarm System Based on MSA System

  • Received Date: 23 Mar 2007
  • Publish Date: 25 Aug 2007
  • An automatic fire alarm system based on MSA(multi-step-alarm) was proposed to overcome the shortcomings of a conventional fire alarm system composed of single type sensors.The proposed system integrates the signals from all fire alarm sensor by a multi-sensor data fusion system that is based on an BP neural network to reduce the possibility of failure for correct alarming.Criteria were presented to further confirm the alarm signals and to overcome the local optimum and oscillation in output of the BP neural network based solely on training.Experimental results show that,compared with the averaged results of 3 single type fire alarm sensors,the proposed system reduces false alarm by 80%,failure for alarming by 92%,and alarm time by 50%.

     

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  • 吴爱国.大空间图像型火灾探测算法的研究[J].计算机测量与控制,2006,14(7):69-71.WU Aiguo.Research for image fire detection technology in large space[J].Computer Measurement Control,2006,14(7):69-71.[2] ALAHAKOON L D.Dynamic self-organizing maps with controlled growth for knowledge discovery[J].IEEE Trans on Neural Networks,2000,11(3):601-614.[3] 张乃尧.神经网络与模糊控制[M].北京:清华大学出版社,1998:75-79.[4] NEUBAUER A.Genetic algorithms in automatic fire detection technology[J].Genetic Algorithms in Engineering Systems:Innovations and Application,2002,4 (2):180-184.[5] 姚畅.基于神经网络的多传感器火灾预测数据处理[J].传感器技术,2005,24(11):68-70.YAO Chang.Data processing from multi-sensors to predict fire disaster based on neural network[J].Journal of Transducer Technology,2005,24(11):68-70.[6] 全国消防标准化技术委员会.GB 4715-93点型感烟火灾探测器技术要求和试验方法[S].北京:中国标准出版社,1993.[7] 全国消防标准化技术委员会.GB 4716-93点型感温火灾探测器技术要求和试验方法[S].北京:中国标准出版社,1993.[8] 全国消防标准化技术委员会.GB 15631-95点型红外火焰探测器性能要求和试验方法[S].北京:中国标准出版社,1995.
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