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近年来,煤炭物流行业的快速崛起,该行业用于物流管理的信息检索系统也在煤炭物流业普遍使用。然而,出于信息查询机制的影响,信息检索引擎在进行关键字检索时需要花费的时间比较长,占用服务器资源较多。因此,本文在现有查询信息管理系统上,提出了一种基于数据前端分析的信息检索模型。数据测试表明,相对于传统中使用的信息检索机制,该模型查询速度快,占用服务器资源相对变少,值得在煤炭物流等多行业中推广使用。
In recent years, the rapid rise of coal logistics industry, the industry for the logistics management information retrieval system is also commonly used in the coal logistics industry. However, due to the impact of the information query mechanism, it takes a long time for the information retrieval engine to carry out the keyword retrieval and consumes more server resources. Therefore, this paper proposes an information retrieval model based on data front-end analysis on the existing query information management system. Data testing shows that compared with the traditional information retrieval mechanism, this model can query quickly and occupy less server resources, so it is worth to be promoted in many industries such as coal logistics.