基于双字典驱动的地质数据管理与分析方法OA

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.