基于LabVIEW的火灾智能报警系统构建
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摘要
为了切实降低火灾自动报警系统误报漏报率,基于LabVIEW虚拟仪器开发一套智能化火灾自动报警分析控制系统,重点介绍软硬件的功能及实现方法.其中硬件部分采用自主创建的二总线协议、结合ZigBee无线通讯技术,提高了系统信号传输的可靠性;软件部分加入火灾语音报警功能,数据文件自动保存功能以及火灾数据BP神经网络算法,提高了系统智能化水平.实验及调试结果表明,系统能有效地实现对监测区域的温度烟度采集、分析和计算,准确报警,软件设计符合人机工程学,功能齐全,具有广阔的应用前景.
In order to reduce the false and leakage alarm rate of automatic fire alarm system,a set of intelligent automatic fire alarm andanalysis control system was developed based on LabVIEW virtual instrument.In this paper,the function and realization method of hardware and software was mainly introduced.The hardware part which adopted the self-created two bus protocol and ZigBee wireless technology improved the reliability of signal transmission.The software part which added fire voice alarm functions,data files auto-save functions and BP neural network algorithm improved the system intelligent level.The experimental results show that,the system can effectively realize the monitoring regional temperature smoking collection,analysis and calculation,alarm accurately.The design of software with the advantage of friendly interface,complete functions has a broad application prospect.
In order to reduce the false and leakage alarm rate of automatic fire alarm system,a set of intelligent automatic fire alarm andanalysis control system was developed based on LabVIEW virtual instrument.In this paper,the function and realization method of hardware and software was mainly introduced.The hardware part which adopted the self-created two bus protocol and ZigBee wireless technology improved the reliability of signal transmission.The software part which added fire voice alarm functions,data files auto-save functions and BP neural network algorithm improved the system intelligent level.The experimental results show that,the system can effectively realize the monitoring regional temperature smoking collection,analysis and calculation,alarm accurately.The design of software with the advantage of friendly interface,complete functions has a broad application prospect.
引文
[1]厉剑.火灾探测信号处理算法及其性能评估方法研究[D].辽宁:大连理工大学,2005.
[2]Liu Jian-lin,Dai Yu-xing.Design of city fire alarm systembased on wireless sensor network[J].Journal of NaturalScience of Hunan Normal University,2011,34(1):43-46.
[3]Peck,Michael D.Structure fires,smoke production andsmoke alarms[J].Journal of Burn Care&Research,2011,32(5):511-518.
[4]张爱平.LabVIEW入门与虚拟仪器[M].北京:电子工业出版社,2004.
[5]李勇,王细洋,王学超.基于LabVIEW实现神经网络[J].南昌航空大学学报,2009,23(1):27-31.
[6]邱永华.基于LabVIEW的煤矿矿井瓦斯浓度实时监测报警系统[J].计算机与现代化,2010(8):117-123.
[7]赵英然,陈南.智能建筑火灾自动报警系统设计与实施[M].北京:知识产权出版社,2004.
[8]Xia Huan-xiong,Sun Shu-wen,Yao Yi-wu.Design andrealization of fire alarm by determining probability basedon Multi-sensor integrated[J].Computer Measurement&Control,2011,19(2):370-371.
[9]张嘉琪,刘阳,王晓丽,等.虚拟仪器技术在神经网络火灾识别模型中的应用研究[J].中国安全科学学报,2011,11:50-51.
[2]Liu Jian-lin,Dai Yu-xing.Design of city fire alarm systembased on wireless sensor network[J].Journal of NaturalScience of Hunan Normal University,2011,34(1):43-46.
[3]Peck,Michael D.Structure fires,smoke production andsmoke alarms[J].Journal of Burn Care&Research,2011,32(5):511-518.
[4]张爱平.LabVIEW入门与虚拟仪器[M].北京:电子工业出版社,2004.
[5]李勇,王细洋,王学超.基于LabVIEW实现神经网络[J].南昌航空大学学报,2009,23(1):27-31.
[6]邱永华.基于LabVIEW的煤矿矿井瓦斯浓度实时监测报警系统[J].计算机与现代化,2010(8):117-123.
[7]赵英然,陈南.智能建筑火灾自动报警系统设计与实施[M].北京:知识产权出版社,2004.
[8]Xia Huan-xiong,Sun Shu-wen,Yao Yi-wu.Design andrealization of fire alarm by determining probability basedon Multi-sensor integrated[J].Computer Measurement&Control,2011,19(2):370-371.
[9]张嘉琪,刘阳,王晓丽,等.虚拟仪器技术在神经网络火灾识别模型中的应用研究[J].中国安全科学学报,2011,11:50-51.