分布式多数据库信息资源联动更新方法研究

Research on Distributed Multi-database Information Resource Linkage Updating Method

针对传统的分布式多数据库信息资源联动更新方法效率低的问题,提出了分布式多数据库信息资源联动更新方法设计。通过变更行为的语义匹配、标识码匹配和几何匹配三个方面对空间要素匹配,并对空间要素增量进行提取,在此基础上,利用模糊理论将空间中的数据进行处理,提取传感器采集的信息特征,构建了分布式多数据库信息资源联动更新模型,以此实现了分布式多数据库信息资源联动更新。为了证明此次设计的方法的有效性,设置实验,实验对比证明,此次设计的分布式多数据库信息资源联动更新方法比传统的联动更新方法效率高,具有一定的实际应用意义。

Aiming at the low efficiency of the traditional distributed multi-database information resource linkage update method,a distributed multi-database information resource linkage update method design is proposed.By matching the semantic matching,identification code matching and geometric matching of the change behavior,the spatial elements are matched and the spatial feature increments are extracted.On this basis,the fuzzy theory is used to process the data in the space and extract the sensor acquisition.Based on the information characteristics,a distributed multi-database information resource linkage update model is constructed,which realizes the linkage update of distributed multi-database information resources.In order to prove the effectiveness of the design method,the experiment is set up,and the experimental comparison proves that the distributed multi-database information resource linkage update method of this design is more efficient than the traditional linkage update method,and has certain practical application significance.