湖北农业科学 ›› 2022, Vol. 61 ›› Issue (11): 133-138.doi: 10.14088/j.cnki.issn0439-8114.2022.11.027

• 信息工程 • 上一篇    下一篇

基于云平台的灌溉决策专家系统研究

何绯红1, 赵磊2   

  1. 1.甘肃省特种设备检验检测研究院,兰州 730050;
    2.兰州理工大学电气工程与信息工程学院,兰州 730050
  • 收稿日期:2020-01-08 出版日期:2022-06-10 发布日期:2022-07-06
  • 通讯作者: 赵 磊(1995-),男,安徽芜湖人,硕士,研究方向为物联网与计算机控制系统,(电子信箱)171226124@qq.com。
  • 作者简介:何绯红(1973-),女,陕西富平人,高级经济师,主要从事特种设备检验技术研究及管理,(电话)13919811175(电子信箱)331781912@qq.com;

Research on irrigation decision expert system based on cloud platform

HE Fei-hong1, ZHAO Lei2   

  1. 1. Gansu Province Special Equipment Inspection and Testing Institute,Lanzhou 730050, China;
    2. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
  • Received:2020-01-08 Online:2022-06-10 Published:2022-07-06

摘要: 针对农业水资源灌溉效率低和农业信息管理混乱的问题,以农田采集信息、气象信息和基本信息为基础,开发B/S结构的灌溉决策和信息管理的专家系统,从而提高农业现代化水平。以专家系统结构和灌溉决策理论为基础,将专家系统结构与集成应用服务器和数据库服务的云平台相结合,以微软.NET Framework框架的ASP.NET技术和SQL Server 2014数据库管理系统为实际开发手段,实现专家系统应用程序开发。结果表明,基于云平台的灌溉决策专家系统通过现有的主流浏览器对应用程序进行访问性测试,能够实现农田实时数据监测、历史数据查询与分析、短信报警、数据信息管理和灌溉决策等功能,访问性良好且数据管理方便,通过与几位专家评估对比发现灌溉决策量偏差在±10%左右,符合灌溉要求。

关键词: 节水灌溉, 信息管理, 云平台, 专家系统

Abstract: Aiming at the problems of low irrigation efficiency of agricultural water resources and confusion of agricultural information management, the expert system of irrigation decision-making and information management with B/S structure was developed on the basis of farmland collection information, meteorological information and basic information, so as to improve the level of agricultural modernization. Based on the structure of the expert system and the irrigation decision of theory, the structure of the expert system was combined with the cloud platform integrating application server and database service, ASP.NET technology of Microsoft .NET Framework and SQL Server 2014 database management system were practical development means to realize the development of expert system application. The results showed that the expert system of irrigation decision-making based on the cloud platform could realize the functions of farmland real-time data monitoring, historical data query and analysis, SMS alarm, data information management and irrigation decision-making, etc. The application program could be accessed well and the data management was convenient. Compared with several experts, it was found that the deviation of the irrigation decision was about ±10%, which met the irrigation requirements.

Key words: water saving irrigation, information management, cloud platform, expert system

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