为了提高农产品质量安全检测数据的利用率,挖掘农产品质量安全检测管理潜力,运用数学建模技术,构建了具有较强科学性和通用性的农产品质量安全检测分析模型.根据信息管理系统的发展趋势及农产品检测数据的特点,设计了基于B/S的具有"三库"数据库结构的4层系统结构框架.在此基础上,应用基于数据挖掘技术和模型组件技术,建立了网络化和数字化的农产品质量安全检测管理决策支持系统.经过近两年的试运行,应用结果表明,该系统表现出较好的可靠性和普适性,方便了检测及管理人员的检测和监管.%To enhance the efficiency of the agricultural products quality safety (APQS) detection data, and to mine the detecting potential of APQS, a reasonable and generous model for APQS analysis is designed using mathematical modeling techniques. According to the trend of the information management system developing and the characteristic of APQS data, 4 layers systematic flame with B/S configuration and "Thrree Bases" database structure is designed. And furthermore, by applying data mining techniques combined with software component techniques, an APQS management decision-support digital system is proposed based on network. The results, from two years operation of a testing system, show that the management decision-support system is reliable and widely applicable, which to a great extent makes the APQS detection and management more convenient for the APQS operators and managers.
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