航空弹药贮存环境温湿度远程智能监测仿真
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摘要
航空弹药在贮存环境中易受温度和湿度变化影响,会使弹药出现裂解、脱粘等,极大地影响了航空弹药爆破性能的有效发挥。现有温湿度监测方法主要以温湿度测量仪为主,通常存在测量误差较大、响应时间长等问题。针对以上问题,提出基于数据分簇融合的温湿度远程智能监测方法。采用疏失误差对采集的温湿度感知数据进行预处理;当簇头节点接收到融合数据后,利用自适应加权算法对融合结果进一步融合。对融合后的温湿度感知数据分别构建支持向量数据描述模型,以上述模型构造统计量并确定其控制限。依据测试样本对各类温湿度感知数据的局部离群概率选取合适的模型进行远程监控。实验结果表明,所提方法响应时间快,有效降低了冗余和可信度较低的温湿度数据对测量精度的影响,提高了航空弹药贮存环境温湿度远程智能监测信息化程度。
In this paper,we focus on a method of remote intelligent monitoring for temperature and humidity based on data clustering fusion. Firstly,we used blunder error to preprocess the collected sensing data of temperature and humidity. After the cluster head node received the fusion data,we used the adaptive weighting algorithm to further fuse the fusion result. Then,we built support vector data description model for the fused temperature and humidity sensing data. Moreover,we constructed statistical quantity and determined the control limits based on above model.Finally,we selected appropriate models for local outlier probability of various temperature and humidity sensing data based on test samples and thus to conduct the remote monitoring. Simulation results show that the proposed method has fast response time,which effectively reduces the influence of temperature and humidity data with redundance and low confidence on the measurement accuracy and improves the informationization degree of remote intelligent monitoring of temperature and humidity in aeronautical ammunition storage environment.
In this paper,we focus on a method of remote intelligent monitoring for temperature and humidity based on data clustering fusion. Firstly,we used blunder error to preprocess the collected sensing data of temperature and humidity. After the cluster head node received the fusion data,we used the adaptive weighting algorithm to further fuse the fusion result. Then,we built support vector data description model for the fused temperature and humidity sensing data. Moreover,we constructed statistical quantity and determined the control limits based on above model.Finally,we selected appropriate models for local outlier probability of various temperature and humidity sensing data based on test samples and thus to conduct the remote monitoring. Simulation results show that the proposed method has fast response time,which effectively reduces the influence of temperature and humidity data with redundance and low confidence on the measurement accuracy and improves the informationization degree of remote intelligent monitoring of temperature and humidity in aeronautical ammunition storage environment.
引文
[1]钱虹,等.基于环境温度在线监测的I/O卡件故障率的研究[J].电测与仪表,2017,54(19):113-116.
[2]许富景,马铁华,李新娥.基于μcosⅡ的贮运温湿度监测系统设计与研究[J].电子技术应用,2016,42(2):61-63.
[3]包建华,等.基于MCGS和CAN总线的粮库温湿度监测系统[J].江苏农业科学,2016,44(9):394-397.
[4]赵学敏,等.火焰温度场测试中的传感器动态响应研究[J].传感技术学报,2016,29(3):368-372.
[5]薛福亮,张慧颖.一种基于自组织映射与径向基函数预测补值的协同过滤推荐方法[J].现代图书情报技术,2014,30(Z1):56-63.
[6]杨瑞峰,等.基于Zig Bee无线传感网络环境监测系统设计与应用[J].电子器件,2017,40(3):760-765.
[7]朱光耀,董龙明.无线传感网和神经网络的民用火药贮存在线监测系统[J].火力与指挥控制,2016,41(12):155-157.
[8]李宏升.基于活性因子激励的仓储系统温湿度监测方法[J].微电子学与计算机,2016,33(5):157-160.
[9]王维刚,等.轨道炮发射过程中弹药制导组件强磁环境控制技术[J].火炮发射与控制学报,2016,37(4):68-72.
[10]李连鹏,苏中.制导弹药用姿态测量装置结构设计[J].计算机仿真,2017,34(10):64-68.
[2]许富景,马铁华,李新娥.基于μcosⅡ的贮运温湿度监测系统设计与研究[J].电子技术应用,2016,42(2):61-63.
[3]包建华,等.基于MCGS和CAN总线的粮库温湿度监测系统[J].江苏农业科学,2016,44(9):394-397.
[4]赵学敏,等.火焰温度场测试中的传感器动态响应研究[J].传感技术学报,2016,29(3):368-372.
[5]薛福亮,张慧颖.一种基于自组织映射与径向基函数预测补值的协同过滤推荐方法[J].现代图书情报技术,2014,30(Z1):56-63.
[6]杨瑞峰,等.基于Zig Bee无线传感网络环境监测系统设计与应用[J].电子器件,2017,40(3):760-765.
[7]朱光耀,董龙明.无线传感网和神经网络的民用火药贮存在线监测系统[J].火力与指挥控制,2016,41(12):155-157.
[8]李宏升.基于活性因子激励的仓储系统温湿度监测方法[J].微电子学与计算机,2016,33(5):157-160.
[9]王维刚,等.轨道炮发射过程中弹药制导组件强磁环境控制技术[J].火炮发射与控制学报,2016,37(4):68-72.
[10]李连鹏,苏中.制导弹药用姿态测量装置结构设计[J].计算机仿真,2017,34(10):64-68.