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作 者:胡慧慧 练毅 葛郢汉 HU Hui-hui;LIAN Yi;GE Ying-han(Jiangsu Shipping College,Nantong 226001,China)
出 处:《舰船科学技术》2023年第18期182-185,共4页Ship Science and Technology
基 金:江苏省南通市科技计划项目(MSZ21007);江苏省南通市科技计划项目(JCZ21072)。
摘 要:为了提高放射性识别效果,保证集装箱运输的安全性与平稳性,研究物联网下船舶运输集装箱放射性监测技术。构建物联网下船舶运输集装箱放射性监测框架,无线终端采集模块通过NaI(T1)γ能谱仪、GPS/AIS接收模块采集存放于货舱的各集装箱放射性能谱数据等,利用Zigbee通信模块将各采集数据上传到船舶监控后台,采用三点重心平滑方法处理放射性能谱数据,获得1 024个道址数据,再以32道址为一个数据采样间隔,将其划分为32组时间序列,作为LSMT网络的输入,实现船舶运输集装箱放射性监测。监测结果通过4G移动网络传输给岸基监控中心,结果表明,学习率为10-3时,LSTM网络性能最佳。通过放射性能谱数据可实现集装箱放射性监测,监测结果与实际相符,监测性能突出。Research on radioactive monitoring technology for ship transport containers under the Internet of Things,im-prove the recognition effect of radioactive nuclides,and ensure the safety and stability of container transportation.Construct a radioactive monitoring framework for ship transport containers under the internet of things,with wireless terminal acquisi-tion modules using Nal(T1)The energy spectrometer and GPS/AIS receiving module collect the radioactive energy spec-trum data of each container stored in the ship's cargo hold,and use the Zigbee communication module to upload the collec-ted data to the ship's monitoring background.After processing the radioactive energy spectrum data using the three-point center of gravity smoothing method,1024 channel data are obtained.Then,with 32 channel addresses as a data sampling in-terval,they are divided into 32 sets of time series,which are used as inputs to the LSMT network,Realize radioactive monit-oring of shipping containers,and the monitoring results are transmited to the shore based monitoring center through a 4G mobile network.The experimental results show that when the learning rate is 10^(-3),the LSTM network has the best perform-ance.Through radioactive spectrum data,container radioactivity monitoring can be achieved,and the monitoring results are consistent with the actual situation,with outstanding monitoring performance.
关 键 词:物联网 放射性监测 NaI(T1)γ能谱仪 Zigbee通信模块 三点重心平滑 LSTM网络
分 类 号:U662.9[交通运输工程—船舶及航道工程]
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