基于达梦数据库的水电厂智能数据存储策略

The Intelligent Data Storage Strategy of Hydropower PlantsBased on the Damon Database

随着业务需求和存储技术的不断变化,如何对数据进行科学储存、处理、应用成为了当下各行各业面临的重大问题。针对水电厂数据存储面临的查询速率慢、安全性低、存储数据成本增加迅速等现状和问题,引入达梦数据库系统,采取分布式实时数据库、关系数据库相结合的策略存储与管理数据;从实时和历史数据存储、数据存储加密等方面开展水电厂智能数据存储策略研究,为水电厂智能数据存储提供创新、科学、有效的策略。

With continuous changesin business demands and storage technologies, how to store, process and apply data scientifically has become a major problem facing all walks of life. In view of the current situation and problems of hydropower plant data storage, such as slow query rate, low security, and rapid increase in the cost of data storage, this paper introduces Dameng Database System, and comprehensively uses distributed real-time database and relational database to store and manage data. Research on intelligent data storage strategies of hydropower plants from real-time data storage, historical data storage, data storage encryption and others provides innovative, scientific and effective strategies for the intelligent data storage of hydropower plants.