大规模激光光谱数据库的构建和优化研究

Construction and optimization of large-scale laser spectroscopy database

数据库构建和优化结果好坏直接影响激光光谱数据库管理系统的性能,针对当前方法激光光谱数据库的数据冗余度高、查询效率低等问题,设计了一种大规模激光光谱数据库的构建和优化方法。首先分析国内外当前激光光谱数据库构建和优化研究现状,找到当前激光光谱数据库构建和优化方法存在的局限性,然后引入分布式处理技术对激光光谱数据库进行构建,并聚类分析算法和重复记录检测、删除机制对激光光谱数据库进行优化,最后与其它法进行了激光光谱数据库构建和优化对比实验,结果表明,本文方法可以快速构建激光光谱数据库,对激光光谱数据库进行了有效优化,激光光谱数据库查询的精度增加,是一种性能优异的激光光谱数据库构建和优化方法。

The results of database construction and optimization directly affect the performance of laser spectral database management system.Aiming at the problems of high data redundancy and low query efficiency of laser spectral database,a large-scale laser spectral database construction and optimization method is designed.Firstly,the current research status quo of laser spectroscopy database construction and optimization at home and abroad is analyzed,and the limitations of current laser spectroscopy database construction and optimization methods are found.Then,the laser spectroscopy database is constructed by introducing distributed processing technology.Cluster analysis algorithm and repeated record detection and deletion mechanism of laser spectroscopy database are used to optimize the laser spectroscopy database.Laser spectrum database construction and optimization experiments with other methods are carried out.The results show that this method can quickly construct laser spectrum database,effectively optimize the laser spectrum database,and increase the precision of laser spectrum database query.It is an excellent laser spectrum database construction and optimization methods.