摘要
船舶大规模数据库优化管理中,由于对数据处理不充足,导致优化后数据查询精度较低。因此,提出A/D转换器的船舶大规模数据库优化管理方法。以A/D转换器为基础,进行船舶大规模数据库优化管理的设计。首先,基于A/D转换器对于船舶数据进行处理,删除冗余数据。其次,通过转换的数据构建船舶数据库优化模型,寻找最佳的数据库优化管理方案。最后,对存储结构以及SQL语句算法进行调整,实现船舶大规模数据库优化管理。仿真实验结果表明:通过与2种传统的船舶数据库优化管理方法对比,文中设计优化的结果更具优越性。在相同的实验条件下,文中设计数据库优化方法使用后数据查询响应延迟时间较低。
In the optimization management of large-scale ship database, due to insufficient data processing, the query accuracy of optimized data is low. Therefore, the application of A/D converter in ship large-scale database optimization management is proposed. Based on the A/D converter, the optimization management of large-scale ship database is designed.Firstly, the ship data is processed based on A/D converter to delete redundant data. Secondly, the ship database optimization model is built through the converted data to find the best database optimization management scheme. Finally, the storage structure and SQL statement algorithm are adjusted to optimize the management of large-scale ship database. The simulation results show that: compared with two traditional ship database optimization management methods, the design optimization results in this paper are more superior. Under the same time condition, in this paper, the design of database optimization method, the use of data query response delay time is low.
作者
刘丽
LIU Li(Chongqing Vocational College of Applied Technology,Chongqing 401520,China)
出处
《舰船科学技术》
北大核心
2021年第10期136-138,共3页
Ship Science and Technology
基金
重庆市自然科学基金资助项目(51805061)
