有风情况下气体源的加权质心定位算法研究
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摘要
近年来在实现气体泄漏源的快速定位研究中,加权质心定位算法占居了重要的意义。之前研究的气体源加权质心定位算法,只适合在无风环境下使用,没有考虑有风时的气体扩散影响。所以文中根据有风时的气体扩散模型,利用风速对气体浓度的影响将风速加入权值因子中,改进后的加权质心定位算法可以适用于不同风速和风向下气体泄漏源定位。最后通过MATLAB仿真实验,与改进前的算法结果比较,证明了本算法在有风条件下定位结果的有效性。
In recent years,in the research of rapid location of gas leakage sources,the weighted centroid localization algorithm plays a very important significance. The weighted centroid localization algorithm previously studied is only suitable for without wind,and do not consider the effect of gas diffusion when there is wind. Therefore,based on the air diffusion model in the wind,the wind speed is added to the weight factor by the influence of wind speed on the gas concentration. The improved weighted centroid positioning algorithm can be applied to the location of the gas leakage source under different wind speed and wind direction. Finally,through MATLAB simulation experiment,compared with the results of the improved algorithm,it proves the effectiveness of the algorithm in the windy condition.
In recent years,in the research of rapid location of gas leakage sources,the weighted centroid localization algorithm plays a very important significance. The weighted centroid localization algorithm previously studied is only suitable for without wind,and do not consider the effect of gas diffusion when there is wind. Therefore,based on the air diffusion model in the wind,the wind speed is added to the weight factor by the influence of wind speed on the gas concentration. The improved weighted centroid positioning algorithm can be applied to the location of the gas leakage source under different wind speed and wind direction. Finally,through MATLAB simulation experiment,compared with the results of the improved algorithm,it proves the effectiveness of the algorithm in the windy condition.
引文
[1]孙燕君.基于不确定性分析的有毒有害气体泄漏事故风险研究[D].南京:南京大学,2011.
[2]刘佳,王立新.基于ZigBee的无线气体监测系统的设计[J].自动化与仪器仪表,2011(2):44-45.
[3]庄哲民,廖海龙,黄胜强,等.斜风场中基于加权距离差法的早期火灾源点定位研究[J].安全与环境学报,2011,11(3):177-181.
[4]韩金.基于WSN的气体源点定位技术研究[D].新乡:河南师范大学,2017.
[5]刘全义,苏伯尼,王晟,等.基于无线传感器网络的气体泄漏源快速定位方法研究[J].中国安全科62学学报,2013,23(1):142-147.
[6]赵丽娜.无线传感器网络中基于三边算法的气体源定位研究[D].哈尔滨:黑龙江大学,2010.
[7]庄哲民,廖海龙,黄胜强,等.斜风场中基于加权距离差法的早期火灾源点定位研究[J].安全与环境学报,安全与环境学报,2011,11(3):177-181.
[8]王华.基于无线传感器网络的结构化环境下氨气泄漏定位方法研究[D].杭州:浙江大学,2011.
[9]LIU Quan-yi,SU Bo-ni,WANG Sheng,et al Study on fast gas source identification based on wireless sensor network[J].China SafetyScience Journal,2013,23(1):143-147.
[10]王华,杨祥龙,李琦,等.冷库氨气无线监测系统与泄漏点定位方法[J].传感器与微系统,2012,31(3):25-28.
[11]邹一风,丁喜波,胡逸.氨气泄漏源定位方法研究与监测系统研制[J].中国安全科学学报,2016,26(8):163-168.
[12]潘新平,郑艳华,林荣列,等.基于气体扩散模型的气体源定位系统[J].国外电子测量技术,2017,36(9):72-76.
[13]特纳尔D B.中国科学院大气物理研究所四室[译].大气扩散估算手册[M].北京:科学技术文献出版社,1978.
[14]Crank J,The Mathematics of Diffusion[M].Oxford,UK:Oxford University Press,1956.
[15]陈璇董,仕鹏.基于修正RSSI值的加权质心定位算法[J].电子科技,2017,30(4):92-94.
[16]肖贤达.基于无线传感器网络的气体源定位算法研究[D].沈阳:东北大学,2013.
[17]黄维.基于J2EE的网络信息安全监测系统设计与实现[J].自动化与仪器仪表,2018(5):145-147.
[18]何军伟,陈夏.高维半参数变系数部分线性测量误差模型的经验似然校正[J].纺织高校基础科学学报,2018(2):191-196.
[19]高林,赵建辉.基于小波变换的图像融合增强算法[J].火箭推进,2017(4):57-62.
[2]刘佳,王立新.基于ZigBee的无线气体监测系统的设计[J].自动化与仪器仪表,2011(2):44-45.
[3]庄哲民,廖海龙,黄胜强,等.斜风场中基于加权距离差法的早期火灾源点定位研究[J].安全与环境学报,2011,11(3):177-181.
[4]韩金.基于WSN的气体源点定位技术研究[D].新乡:河南师范大学,2017.
[5]刘全义,苏伯尼,王晟,等.基于无线传感器网络的气体泄漏源快速定位方法研究[J].中国安全科62学学报,2013,23(1):142-147.
[6]赵丽娜.无线传感器网络中基于三边算法的气体源定位研究[D].哈尔滨:黑龙江大学,2010.
[7]庄哲民,廖海龙,黄胜强,等.斜风场中基于加权距离差法的早期火灾源点定位研究[J].安全与环境学报,安全与环境学报,2011,11(3):177-181.
[8]王华.基于无线传感器网络的结构化环境下氨气泄漏定位方法研究[D].杭州:浙江大学,2011.
[9]LIU Quan-yi,SU Bo-ni,WANG Sheng,et al Study on fast gas source identification based on wireless sensor network[J].China SafetyScience Journal,2013,23(1):143-147.
[10]王华,杨祥龙,李琦,等.冷库氨气无线监测系统与泄漏点定位方法[J].传感器与微系统,2012,31(3):25-28.
[11]邹一风,丁喜波,胡逸.氨气泄漏源定位方法研究与监测系统研制[J].中国安全科学学报,2016,26(8):163-168.
[12]潘新平,郑艳华,林荣列,等.基于气体扩散模型的气体源定位系统[J].国外电子测量技术,2017,36(9):72-76.
[13]特纳尔D B.中国科学院大气物理研究所四室[译].大气扩散估算手册[M].北京:科学技术文献出版社,1978.
[14]Crank J,The Mathematics of Diffusion[M].Oxford,UK:Oxford University Press,1956.
[15]陈璇董,仕鹏.基于修正RSSI值的加权质心定位算法[J].电子科技,2017,30(4):92-94.
[16]肖贤达.基于无线传感器网络的气体源定位算法研究[D].沈阳:东北大学,2013.
[17]黄维.基于J2EE的网络信息安全监测系统设计与实现[J].自动化与仪器仪表,2018(5):145-147.
[18]何军伟,陈夏.高维半参数变系数部分线性测量误差模型的经验似然校正[J].纺织高校基础科学学报,2018(2):191-196.
[19]高林,赵建辉.基于小波变换的图像融合增强算法[J].火箭推进,2017(4):57-62.