全国矿产资源潜力评价成果数据智能检索方法研究

摘要

针对矿产资源潜力评价成果数据,提出使用Hadoop平台下的HDFS对海量数据进行存储,构造地质矿产资源数据存储模型.使用支持单条记录快速查询的HBase数据库管理其元数据,并进行矿产资源潜力评价成果数据的快速检索,同时,在HBase上设计多级索引目录支持非主键查询,解决了HBase只支持简单的基于主键索引的缺点,实现了对矿产资源潜力评价成果数据的智能检索,并通过实验进一步验证该方法的正确性和可行性.%Based on the national mineral resource's potential evaluation achievement data,this paper puts forward that the HDFS of Hadoop platform can be used to store and construct the data storage model of geological minerals.We Uses the HBase which supports fast query of individual records to manage its metadata and realize the rapid retrieval of mineral resources potential evaluation achievement data.At the same time,we designs multi-level index catalog in HBase to achieve the non-primary key query.We correct the defect of the HBase which only support primary key index and achieve the goal of the intelligent retrieval base on mineral resources potential evaluation result data.Then we verified the correctness and feasibility of this method by the contrast experiment.