[1]张江南,王 海.基于数据中心的农业物联网系统的设计[J].计算机技术与发展,2019,29(09):179-182.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 034]
 ZHANG Jiang-nan,WANG Hai.Design of Agricultural IoT System Based on Data Center[J].,2019,29(09):179-182.[doi:10. 3969 / j. issn. 1673-629X. 2019. 09. 034]
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基于数据中心的农业物联网系统的设计()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年09期
页码:
179-182
栏目:
应用开发研究
出版日期:
2019-09-10

文章信息/Info

Title:
Design of Agricultural IoT System Based on Data Center
文章编号:
1673-629X(2019)09-0179-04
作者:
张江南王 海
青岛农业大学 网络管理中心,山东 青岛 266109
Author(s):
ZHANG Jiang-nanWANG Hai
Network Management Center,Qingdao Agricultural University,Qingdao 266109,China
关键词:
农业物联网数据集中存储树莓派 3数据中心
Keywords:
agricultural IoTdata centralized storageRaspberrypi 3data center
分类号:
TP31
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 09. 034
摘要:
随着农业物联网技术的迅速发展,物联网技术被广泛应用在农业的各个领域,通过应用各种类型的传感器和控制器设备对作物的生长进行监控。 如今的农业物联网系统大都相对独立,位置处于偏远的不发达地区,农业数据采用单台PC 机进行数据存储,数据不流通,没有进行数据的集中存储和管理。 由于农业物联网系统获取有价值的数据是一个长期、漫长的过程,所以需要保证农业数据的安全、稳定和可靠。 根据上述存在问题,结合大数据的发展方向,根据高校现状,文中设计了一种基于数据中心的农业物联网系统。 该系统通过远端监控设备对实验大田进行数据采集,数据中心将数据进行统一的集中存储管理,为后续的农业大数据分析提供了极大的便利。
Abstract:
With the rapid development of the agricultural IoTs,the IoTs is widely used in various fields of agriculture. Crop growth is monitored by applying various types of sensors and controllers. Nowadays,most of the agricultural IoT systems are relatively independent and located in remote and underdeveloped areas. Agricultural data are stored by a single PC and not circulated without centralizing data storage and management. Since the valuable data that the agricultural IoT system wants to acquire is a long-term and long process,it is necessary to ensure the safety,stability and reliability of agricultural data. According to the above problems,combining the development direction of the big data and the status of universities,we design an agricultural IoT system based on data center. The system collects experimental field data through remote equipment and centralizes storage and management of data,which provides great convenience for follow-up agricultural big data analysis.

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[1]倪芳[][][],曾辉[][],卓辉[][],等. Web服务在多源异构农业数据融合上的应用研究[J].计算机技术与发展,2016,26(08):129.
 NI Fang[][][],ZENG Hui[][],ZHUO Hui[][],et al. Research on Application of Web Services in Multi-source Heterogeneous Data Integration on Agriculture[J].,2016,26(09):129.
[2]张江南,王 海,赵树林.Kaa 技术在农业物联网中应用的研究[J].计算机技术与发展,2019,29(10):111.[doi:10. 3969 / j. issn. 1673-629X. 2019. 10. 023]
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更新日期/Last Update: 2019-09-10