棉铃虫监测和预警网络数据库的设计与数据建设

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

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。

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 Hiibner 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 hornepage 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 bollwrm are achieved in Xinjiang, China.