[1]梅敏杰,沈苏彬.ZigBee 生活辅助系统中的一种数据处理方法[J].计算机技术与发展,2020,30(05):137-142.[doi:10. 3969 / j. issn. 1673-629X. 2020. 05. 026]
　MEI Min-jie,SHEN Su-bin.A Data Processing Method in ZigBee Ambient Assisted Living[J].COMPUTER TECHNOLOGY AND DEVELOPMENT,2020,30(05):137-142.[doi:10. 3969 / j. issn. 1673-629X. 2020. 05. 026]
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ZigBee 生活辅助系统中的一种数据处理方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
30
期数:
2020年05期
页码:
137-142
栏目:
应用开发研究
出版日期:
2020-05-10

文章信息/Info

Title:
A Data Processing Method in ZigBee Ambient Assisted Living
文章编号:
1673-629X(2020)05-0137-06
作者:
梅敏杰; 沈苏彬
南京邮电大学 物联网学院,江苏 南京 210003
Author(s):
MEI Min-jie; SHEN Su-bin
School of Computer,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
关键词:
智能家居; ZigBee; 生活环境辅助系统; 数据处理; 简化变邻域搜索的变体算法
Keywords:
smart home; ZigBee; ambient assisted living; data processing; VAR
分类号:
TP391
DOI:
10. 3969 / j. issn. 1673-629X. 2020. 05. 026
摘要:
ZigBee 是一种短距离、低速率、低功率的无线传感技术,在智能家居中具有较为广泛的应用。 其中,老人生活辅助系统通过采集环境中的传感数据或者老人体征参数,然后经过一系列的数据分析, 向看护者提供健康监护功能。 在ZigBee 生活辅助系统中,一个通常需要考虑的技术问题就是如何利用传感器采集到的数据,来准确判断老年的生活状态。文中采用 Zigbee 技术,基于 Z-Stack2007 和智能网关实现网络互联,并在本地服务器上构建数据处理架构,对这些信息进行分析。 在这三层架构中,最新收集的大量数据会被数据存储层有序存储;在数据过滤层,将验证数据的有效性并通过分类器存入数据库,以及对数据流进行等级划分,方便在数据分析层划分邻域;在数据分析层,数据以邻域的形式重新组织,并被一个简化变邻域搜索的变体算法调用,进行快速分析。 通过与传统算法的比较,提出的基于 RVNS 算法划分邻域的VAR 简化变邻域算法能有效地提高传感数据的处理效率。
Abstract:
ZigBee is a short-distance,low-speed,low-power wireless sensing technology,which is widely used in smart home. Among them,ambient assisted living system provides health monitoring to caregivers by collecting sensing data in the environment or physical parameters      of the elderly. In ZigBee ambient assisted living system,one problem that needs to be considered is how to use sensors to gather data in order to evaluate the living status of the old. Based on the study of ZigBee Technology,Z-Stack 2007 and intelligent gateway,we propose    a local data processing architecture to process sensors data. In this three-layer architecture,data received recently will be stored orderly in the data gathering layer. Then,in the data filtering layer,data will be checked if they are valid. For valid data,they are directly stored in a database. The data stream is divided into different levels in order to partite neighborhood. In the data analyzing layer,data is called by VAR (variant algorithms for simplified reduced variable neighborhood search) in the form of neighborhood and rapid analysis. Compared with the traditional FIFO algorithm, the VAR simplified variable neighborhood algorithm based on RVNS algorithm can effectively improve the processing efficiency of sensing data.

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更新日期/Last Update: 2020-05-10