| 基于云计算技术的农业信息化管理平台设计 |
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| 引用本文： | 郭文浩.基于云计算技术的农业信息化管理平台设计[J].农业工程,2022,12(8):30-35. |
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| 作者姓名： | 郭文浩 |
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| 作者单位： | 新疆农业大学管理学院，新疆 乌鲁木齐 830052 |
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| 摘 要： | 构建基于云计算技术的农业信息化管理平台，可以提高农业信息化管理水平，解决农业资源管理中的资源分配不均衡、共享程度低等问题。该管理平台由基础设施层、数据层、应用服务层、管理层和用户访问层构成。基础设施层通过主机服务器和虚拟机构建网络农业资源数据中心。数据层利用云计算技术集中管理基础设施层农业数据，并将其存储于数据库中。应用服务层的农业信息化管理端通过云计算技术实现数据库农业资源调度，并通过离散Kalman滤波算法实时更新处理农业数据。管理层通过农业权限、质量、安全等信息的管理全面协调平台管理的各个阶段，并可通过用户访问层为用户提供访问界面。测试结果表明:该平台数据采集、融合效果好，资源分配均匀合理，而且不同任务数量下均具备较好的负载均衡度，可实现较好的农业信息化管理。
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| 关 键 词： | 云计算技术 农业资源 信息化管理 资源调度 离散Kalman滤波 信息融合 |
| 收稿时间： | 2021/10/25 0:00:00 |
| 修稿时间： | 2022/1/18 0:00:00 |
Design of agricultural information management platform based on cloud computing technology |
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| guowenhao.Design of agricultural information management platform based on cloud computing technology[J].Agricultural Engineering,2022,12(8):30-35. |
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| Authors: | guowenhao |
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| Institution: | School of Management，Xinjiang Agricultural University，Urumqi Xinjiang 830052，China |
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| Abstract: | Abstract: The lack of agricultural resource allocation and management means leads to the problems of unbalanced resource allocation and low sharing degree in agricultural resource management. Therefore, an agricultural information management platform based on cloud computing technology is constructed to improve the level of agricultural information management. The infrastructure layer builds a network agricultural resource data center through the host server and virtual machine. The data layer uses cloud computing technology to centrally manage the agricultural data of the infrastructure layer and store it in the database. The agricultural information management end of the application service layer realizes the agricultural resource scheduling of the database through cloud computing technology, The discrete Kalman filtering algorithm is used to update and process agricultural data in real time. The management layer comprehensively coordinates all stages of platform management through the management of Agricultural Authority, quality, safety and other information, and can provide access interface for users through the user access layer. The test results show that the platform has good data collection and fusion effect, uniform and reasonable resource allocation, and has good load balance under different task quantities, which can realize better agricultural information management. |
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| Keywords: | Cloud computing technology Agricultural resource Information management Resource scheduling Discrete Kalman filtering Information fusion |
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