Application system generation method, device, equipment and storage medium

Abstract

The invention discloses an application system generation method, device, equipment and storage medium. The method includes: obtaining the business analysis, business model, logical model, physical model stored in the metadata database and the association relationship between the business analysis, business model, logical model and physical model; according to the business analysis, business model, logical model , physical model and business analysis, business model, logical model and physical model to generate at least one of business component, business unit component, class library interface and data operation interface; according to the business component, business unit component The application system for generating at least one of the class library interface and the data operation interface, through the technical solution of the present invention, can provide technical support for the construction of the data management and service system, and further solve the shortcomings of the existing platform.

Description

technical field [0001] The embodiments of the present invention relate to computer technology, and in particular to a method, device, equipment and storage medium for generating an application system. Background technique [0002] The oilfield enterprise is a complex business and technology-intensive enterprise. After years of informatization construction, numerous information systems have been formed. However, the traditional "chimney" construction mode has objectively formed many isolated islands of information, and it is difficult to share data between systems. , business collaborative applications are difficult to achieve. In order to change this situation, domestic and foreign oilfield companies have successively carried out data center construction work, and the key tasks include data resource integration and data service platform construction. [0003] As the core of data integration and application integration, the data service platform needs to solve the following ...

AI Technical Summary

Problems solved by technology

[0014] 2) It only supports project library data integration of several types of mainstream foreign software (Finder, LogDB, GeoFrame, OpenWorks, etc.), and does not currently support domestic exploration and development database systems;

[0015] 3) Lack of data collection and integrated storage solutions;

[0016] 4) Lack of integrated data cataloging for exploration and development;

[0017] 5) Lack of unified full-text search for structured and unstructured data

[0019] 1) The data standard is not subject to version control and hierarchical management, and the smooth upgrade of the data standard cannot be realized;

[0020] 2) The data standard has not been implemented in the data collection system, the essence is that the data standard has not been fully implemented;

[0021] 3) The model-driven architecture is not fully realized, zero code maintenance cannot be achieved, and the cost of model upgrade is high;

[0022] 4) The efficiency of the data resource scanning algorithm is not high, and the complete rate calculation method cannot objectively reflect the data resource situation;

[0023] 5) There is no closed-loop management for continuous improvement of data quality

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