Method and system of data automatic conversion and storage

Abstract

The invention discloses a system of data automatic conversion and storage. The system comprises a data extractor, a data converter, a data register and a data storage unit. The data extractor is used for extracting original data from different data sources and transmitting the original data to the data converter; the data converter is used for converting the original data from different data sources to specific data formats; the data register is connected with the data converter and is used for organizing the obtained data results from the data converter to uniform data structures; and the data storage unit is used for storing the data from the data register to a target database. According to a method and the system of the data automatic conversion and storage, different system information configuration is opened, conducting of system customization according to field needs is supported, the purpose of heterogeneous data integration of existing different business systems of enterprises is achieved, and data are integrated effectively.

Description

technical field [0001] The invention relates to the field of industrial informatization, in particular to a method and system for automatic data conversion and storage. Background technique [0002] At present, industrial enterprises generally implement multiple sets of computer systems, including real-time database systems for production monitoring, energy metering systems, business system software for specific functions, office automation systems, financial systems, ERP, etc. These systems are usually Invested in different periods, completed by different construction units, using different technologies, there are differences in the data storage forms and data organizational structures, and the data interfaces that are opened are also different, so it is impossible to achieve barrier-free exchange of data. It has gradually caused problems such as difficult operation and maintenance, difficult information communication, and large investment in transformation and upgrading. ...

AI Technical Summary

Problems solved by technology

[0002] At present, industrial enterprises generally implement multiple sets of computer systems, including real-time database systems for production monitoring, energy metering systems, business system software for specific functions, office automation systems, financial systems, ERP, etc. These systems are usually Invested in different periods, completed by different construction units, using different technologies, there are differences in the data storage forms and data organizational structures, and the data interfaces that are opened are also different, so it is impossible to achieve barrier-free exchange of data. It has gradually caused problems such as difficult operation and maintenance, difficult information communication, and large investment in transformation and upgrading.

[0003] At the same time, a large number of precious production data formed by these systems are stored independently in various systems in various structures, which is difficult to analyze in a unified manner, and it is difficult to form auxiliary information that is effective for the production decision-making of enterprises. , and the data is too much and too scattered to conduct unified and effective analysis

Images