journal6 ›› 2014, Vol. 35 ›› Issue (3): 54-58.DOI: 10.3969/j.issn.1007-2985.2014.03.012

• 物理与信息 • 上一篇    下一篇

基于SOA的农作物病虫害监测预警系统设计

王庆人,彭琼琼,吴云志,辜丽川,刘萍,乐毅,张友华   

  1. (安徽农业大学信息与计算机学院,安徽 合肥 230036)
  • 出版日期:2014-05-25 发布日期:2014-07-05
  • 通讯作者: 张友华(1966-),男,安徽合肥人,安徽农业大学信息与计算机学院教授,博士,主要从事农业信息化研究.
  • 作者简介:王庆人(1986-),安徽合肥人,安徽农业大学信息与计算机学院硕士生,主研从事数据库技术研究
  • 基金资助:

    国家自然科学基金资助项目(31371533);安徽省自然科学基金资助项目(1308085MF89);安徽省“十二五”科技攻关资助项目(12010302079,1301032169)

Crop Pest Monitoring and Warning System Based on SOA

WANG  Qing-Ren, PENG  Qiong-Qiong, WU  Yun-Zhi, GU  Li-Chuan, LIU  Ping, LE  Yi, ZHANG  You-Hua   

  1. (School of Information & Computer,Anhui Agricultural University,Hefei 230036,China)
  • Online:2014-05-25 Published:2014-07-05

摘要:农作物病虫害监测预警是农业防灾减灾、确保主要农产品有效供给的重要组成部分和关键环节.中国病虫害监测预警工作的准确性和时效性因“信息孤岛”而受制约.提出了“基于AHP的CBR的预警决策”模型,采用Web Service技术,设计了基于SOA架构的安徽农作物病虫害监测预警系统.该系统实现了安徽省农作物病虫数据的采集标化、传输网络化、分析规范化、处理图形化、发布可视化、汇报制度化、管理自动化、决策智能化.该预警系统实现了安徽省6年实践运行结果表明,安徽省各级植保站的工作效率及预警决策准确度和时效性均有显著提高.

关键词: WebService, 农业病虫害, AHP, CBR, 预警系统

Abstract: Crop pests and diseases monitoring and forecasting is an important part of the key to agricultural disaster prevention and mitigation,and to ensure that effective supply of major agricultural products.At present,it is widespread phenomenon that the accuracy and timeliness of work pest monitoring and early warning is greatly restricted because of “Information isolated island”.“AHP-based CBR Warning Decision” model was proposed,which using Web Service technology,designed and developed a monitoring and warning system based on SOA structure in Anhui Crop pests and diseases,and put it into application.This early warning system has achieved collecting standardized,transmission networking,analysis standardized,graphical processing,publishing visualization,reporting institutionalized,management automation,intelligent decision-making of Anhui crop pest data work.The practical result of six years showed significant efficiency at all levels of Anhui plant protection stations,in terms of accuracy and timeliness of decision-making in early warning.

Key words: Web Service, Crop pests and diseases AHP, CBR, Early warning system

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