计算机技术与发展

为解决地质数据库变更更新时需修改软件功能代码以维持数据管理与分析功能的问题，该文提出了一种基于双字典驱动的方法，旨在支持系统的双扩展性，确保在不修改核心代码的前提下原有数据入库、管理和分析功能对数据库变化的适应能力。通过分析不同专业的地质数据库的数据管理模式与业务功能需求，对不同地质数据库的数据语义进行高度概括，在数据入库阶段形成用于地质数据管理与分析所需的地质数据结构字典总集合，并对其抽稀形成地质业务模型字典总集合。在数据分析阶段根据不同地质业务模型字典子集或地质数据结构字典子集来满足不同的业务需求所需的数据。最后实现了多个项目中的地质数据的自动化入库和数据功能服务的自动生成。表明采用双字典驱动的方法能有效提高管理分析地质数据的效率，可以更好地发挥地质数据的价值。

In order to address the issue of having to modify software functional code when updating geological databases in order to maintain data management and analysis capabilities, we propose a dual-dictionary-driven method, aiming to support the dual scalability of the system and ensure the adaptability of the original data entry, management, and analysis functions to database changes without modifying the core code. We analyze the data management mode and business function requirements of geological databases of different specialties, highly generalize the data semantics of different geological databases, and form the total set of structural dictionaries for geological data management and analysis at the data entry stage, and abstract them to form the total set of geological business model data dictionary. Data required to meet different business needs based on different subsets of structural dictionaries and business dictionaries during the data analysis phase. We finally realize the automated warehousing of geological data and the automatic generation of data function services in several projects. It is showed that the dual-dictionary-driven approach can effectively improve the efficiency of managing and analyzing geological data, and can better utilize the value of geological data.