棉铃虫监测和预警网络数据库的设计与数据建设

害虫数据库是害虫信息收集、预测和综合治理的核心,同时是害虫信息化预警、管理的基础和关键。依据棉铃虫测报的国家行业标准(GB/T158000-1995)及其生物生态学特性,以分布式数据库Microsoft SQL Server管理工具,构建棉铃虫预警网络数据库。在此基础上,将监测和预警数据分为人工采集数据、自动化采集数据和模型参数数据3大类,针对不同数据来源,提出了异构数据库批处理、PC版棉铃虫数据库软件处理(CBWMIS,CB management information system)、Web方式录入和基于GPRS或电话调制解调器自动化录入的4种数据建设方式,以中国新疆地区为例,实现了棉铃虫预警网络数据库设计和数据建设,为害虫网络信息化管理提供重要的信息平台。

The Design and Building of Network Data Base for Monitoring and Early-Predicting of Cotton Bollworm

Pest data base is the core for collecting information, predicting and integrating management of pest, and is the base and key for early-prediction and management by information technology also. According to the national industry forecasting criterion of Helicoverpa armigera Hübner and characteristics of it's biology and ecology,the distribution data base of cotton bollworm(CB) is developed by Microsoft SQL server. Data of monitoring and forecasting is divided into artificial acquisition data, automatic acquisition data and model parameters. Four kinds of input-data ways are put forward which is based on processing for batch data from the heterogeneous database, the table form of homepage from Microsoft Web ,CBWMIS(PC vision, CB management information system) and GPRS(General Packet Radio Service) or telephone modem in automatic mode.The design and building-data of data base system for monitoring and early-predicting of cotton bollworm are achieved in Xinjiang, China.