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计算机工程 ›› 2011, Vol. 37 ›› Issue (7): 31-34. doi: 10.3969/j.issn.1000-3428.2011.07.011

• 软件技术与数据库 • 上一篇    下一篇

农业气象应用软件适应性模型设计

卫建国1,庄立伟2,张晓煜1,王建林2,钟海云3   

  1. (1. 宁夏气象防灾减灾重点实验室,银川 750002;2. 国家气象中心,北京 100081;3. 宁夏气象信息中心,银川 750002)
  • 出版日期:2011-04-05 发布日期:2011-03-31
  • 作者简介:卫建国(1973-),男,工程师,主研方向:农业气象遥感应用,图形图像,GIS;庄立伟,高级工程师;张晓煜、王建林, 正研级高级工程师;钟海云,工程师
  • 基金资助:
    “十一五”国家科技支撑课题基金资助项目“农业重大气象灾害综合服务技术集成系统研究”(2006BAD04B10);科技部社会公益研究专项基金资助项目“气候变化背景下宁夏干旱监测预警系统研究”(2005DIB3J103);科技部公益性行业(气象)科研专项基金资助项目“农业气象观测自动化系统研发”(GYHY200906033-04)

Adaptive Model Design of Agro-meteorological Applications Software

WEI Jian-guo 1, ZHUANG Li-wei 2, ZHANG Xiao-yu 1, WANG Jian-lin 2, ZHONG Hai-yun 3   

  1. (1. Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China; 2. National Meteorological Centre, Beijing 100081, China; 3. Ningxia Meteorological Information Center, Yinchuan 750002, China)
  • Online:2011-04-05 Published:2011-03-31

摘要: 针对农业气象应用软件适应性的不足,总结农业气象软件中可变因素和变化特点,应用参数适应法和组合适应法对农业气象应用软件进行适应性模型设计,从操作系统层、数据层、系统组件层、高级功能层讨论平台选择和适应性建模。结合业务实践应用情况,实现功能组合与系统框架的分离、数据变化到参数变化的转化,使业务变化转变为参数和组合变化,减少软件变更成本和变化范围,增强农业气象应用软件对环境的适应性。

关键词: 农业气象, 可变因素, 适应性方法, 模型设计

Abstract: Aiming at the characteristics and the lack of agro-meteorological applications software adaptability, this paper sums up variables and the change features of agro-meteorological software. It applies parameter adapttive method and combination adaptive method to agro-meteorological applications designed adaptive model. From the operating system layer, data layer, the system component level, advanced function layer model discussion platform choice and adaptive model and gives practical ideas and methods to solve. Combined with the application of business practices to achieve the separation of aggregate function and system framework, to achieve the data changes to the parameters of the transformation. Business changes into changes in parameter variations and combinations to reduce costs and change the software to change the scope of agro-meteorological applications enhanced adaptability to the environment.

Key words: agro-meteorological, variables, adaptive method, model design

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