[1]刘鸿飞,杨建栋,方丽英,等.加权数据融合算法在液化气监测中的应用[J].南京理工大学学报(自然科学版),2016,40(02):250.[doi:10.14177/j.cnki.32-1397n.2016.40.02.019]
　Liu Hongfei,Yang Jiandong,Fang Liying,et al.Application of weighted data fusion in liquefied gas monitoring[J].Journal of Nanjing University of Science and Technology,2016,40(02):250.[doi:10.14177/j.cnki.32-1397n.2016.40.02.019]
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加权数据融合算法在液化气监测中的应用
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《南京理工大学学报》（自然科学版）[ISSN:1005-9830/CN:32-1397/N]

卷:
40卷
期数:
2016年02期
页码:
250
栏目:
出版日期:
2016-04-30

文章信息/Info

Title:
Application of weighted data fusion in liquefied gas monitoring
文章编号:
1005-9830(2016)02-0250-05
作者:
刘鸿飞1; 2; 杨建栋1; 2; 方丽英1; 3; 王 普1
1.北京工业大学 电子信息与控制工程学院,国家教育部数字社区工程研究中心,北京 100124; 2.首都信息发展股份有限公司,北京 100080; 3.城市轨道交通北京实验室,北京 100124
Author(s):
Liu Hongfei1; 2; Yang Jiandong1; 2; Fang Liying1; 3; Wang Pu1
1.Electronic Information and Control Engineering College,Digital Community Engineering Research Center of the State Education Ministry,Beijing University of Technology,Beijing 100124,China; 2.CapInfo Company Limited,Beijing 100080,China; 3.Beijing Labor
关键词:
液化气监测;  加权数据融合;  爆炸上下限
Keywords:
liquefied gas monitoring;  weighted fusion;  explosion limits
分类号:
TP399
DOI:
10.14177/j.cnki.32-1397n.2016.40.02.019
摘要:
针对液化气监测系统具有实时性和突发性等特点,提出了一种应用在液化气监测中的动态预警方法,解决了在监控系统中需要手动调节阈值的问题。首先通过多传感器网络对被测环境中的数据进行采集,并利用贝塞尔公式对数据进行清理。采用加权数据融合算法对同类型传感器数据进行处理,根据二氧化碳浓度与爆炸上下限关系动态调整报警阈值。通过实地采集的数据计算,证明了该方法在不需要先验知识的情况下,可以有效减小系统误差,准确预警。
Abstract:
Considering the real-time and emergency of the liquefied gas monitor system,a dynamic warning method for the monitoring of the liquefied gas system is proposed here to solve the problem that people need to adjust the threshold by themselves.Firstly,the multi-sensor and the Bézier curve are used to collect and clean the data,then the weighted fusion is used to solve the data coming from the same type sensors and adjust the warning threshold based on the relationship between CO2 and the explosion limit of the liquefied gas.The calculating results prove that the method can reduce the error of the system and warn the problem without future knowledge.

参考文献/References:

[1] 李建平.液化气的安全管理分析[J].化工管理,2014,17:81.
Li Jianping.Analysis of the safety management of liquefied gas[J].Chemical Enterprise Management,2014,17:81.
[2]李战明,陈若珠,张保梅.同类多传感器自适应加权估计的数据级融合算法研究[J].兰州理工大学学报,2006,4:78-82.
Li Zhanming,Chen Ruozhu,Zhang Baomei.Study of adaptive weighted estimate algorithm of congeneric muti-sensor data fusion[J].Journal of Lanzhou University of Technology,2006,4:78-82.
[3]张保梅.数据级与特征级上的数据融合方法研究[D].兰州:兰州理工大学电气工程与信息工程学院,2005.
[4]温卫敏.室内有毒气体监测系统研制[D].西安:西安科技大学电气与控制工程学院,2008.
[5]谢丽明,赵凯,鲁书喜.基于时序加权数据融合的瓦斯预警系统研究[J].煤炭技术,2012,10:192-194.
Xie Liming,Zhao Kai,Lu Shuxi.Research on gas early warning system based on sequence weighted data fusion[J].Coal Technology,2012,10:192-194.
[6]Liao Yi-hung,Chou Jung-chuan.Weighted data fusion use for ruthenium dioxide thin film pH array electrodes[J].IEEE Sensors Journal,2009:842-848.
[7]翟翌立,戴逸松.多传感器数据自适应加权融合估计算法的研究[J].计量学报,1998(1):70-76.
Zhai Yuli,Dai Yisong.Research on adaptive weighted fusion estimation algorithm ofmulti-sensor data[J].Acta Metrologica Sinica,1998(1):70-76.
[8]刘先省,胡振涛.测量方差自学习加权下的多传感器数据融合算法[J].现代雷达,2005(4):28-31.
Liu Xianxing,Hu Zhentao.Multi-sensor filter fusion algorithm based on measured variance self-learning weighting[J].Modern Radar,2005(4):28-31.
[9]仲崇权,张立勇,杨素英,等.基于最小二乘原理的多传感器加权融合算法[J].仪器仪表学报,2003(4):427-430.
Zhong Chongquan,Zhang Liyong,Yang Suying,et al.A weighted fusion algorithm of multi-sensor based on the principle of least squares[J].Chinese Journal of Scientific Instrument,2003(4):427-430.
[10]张应安,刘振翼,王峰,等.含CO2液化气燃烧爆炸特性实验研究[J].天然气工业,2009(6):110-112.
Zhang Ying'an,Liu Zhenyi,Wang Feng,et al.Experimental study on combustion characteristics of liquefied gas with CO2[J].Natural Gas Industry,2009(6):110-112.
[11]钱樨成.纺织材料静电现象的解决途径[J].棉纺织技术,1981(4):7-11.
Qian Xicheng.Solution of the phenomenon of electrostatic in textile materials[J].Cotton Textile Technology,1981(4):7-11

备注/Memo

备注/Memo:
收稿日期:2015-09-07 修回日期:2015-11-25
基金项目:北京市物联网应用支撑平台研发和示范应用项目(2012BAH26B01)
作者简介:刘鸿飞(1991-),男,硕士生,主要研究方向:控制工程,E-mail:liuhongfei0411@126.com; 通讯作者:方丽英(1977-),女,博士,主要研究方向:信息集成,E-mail:fangliying@bjut.edu.cn。
引文格式:刘鸿飞,杨建栋,方丽英,等.加权数据融合算法在液化气监测中的应用[J].南京理工大学学报,2016,40(2):250-254.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2016-04-30