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作 者:戴飞 程颖 焦攀科 DAI Fei;CHENG Ying;JIAO Pan-ke(Statistical information center of Hebei Health Committee,Shijiazhuang 050000 China)
机构地区:[1]河北省卫生健康委员会统计信息中心,河北石家庄050000
出 处:《自动化技术与应用》2022年第9期128-131,共4页Techniques of Automation and Applications
摘 要:目前方法对网络远程会诊信息进行存储时,出现无线传感器存储空间标准差高等问题,提出基于无线传感器网络远程会诊系统信息自动存储方法。首先将远程会诊数据进行规范化处理,利用GSA算法对其进行清洗,再通过模糊支持向量机进行计算,获取系统内两类数据之间的中心点距离、数据向量的模糊隶属度以及会诊系统数据信息的近邻样本密度,最后训练支持向量机完成自动存储。实验结果表明,该方法进行自动存储时,无线传感器的存储空间标准差低、平均剩余能量高、存储数量大。At present, when the information of remote consultation is stored, there are some problems such as high standard deviation of storage space, low average residual energy et al. This paper puts forward the research on the automatic storage method based on wireless sensor network remote consultation system information. Firstly, the information data of the remote consultation system is standardized, cleaned by the GSA algorithm, and then calculated by the fuzzy support vector machine to obtain the center point distance between the two kinds of data in the system. The fuzzy membership degree of the data vector and the nearest neighbor sample density of the consultation system data information. Finally, the support vector machine is trained to complete automatic storage. The experimental results show that the standard deviation of storage space is low, the average residual energy is high, and the number of storage is large.
关 键 词:远程会诊系统 无线传感器 自动存储 GSA算法 数据清洗
分 类 号:TP292[自动化与计算机技术—检测技术与自动化装置]
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