Data management system and data management method based on cold data, temperature data and hot data

Abstract

The invention discloses a data management system and a data management method based on cold, temperature and hot data, the data management system comprises a computer, at least one first server and atleast one second server; the first server comprises a first database for storing hot data and a second database for storing temperature data; the second server comprises a third database for storingcold data; and the computer receives and displays the monitoring data of the tested equipment in real time, and stores the monitoring data into the first database, the second database and the third database respectively according to the data type of the monitoring data. According to the embodiment provided by the invention, a multi-level and three-dimensional data management mode is set, so that the data management efficiency, the storage efficiency and the query efficiency can be improved, and the software service capability and the data service capability are improved to the maximum extent.

Description

technical field [0001] The invention relates to the technical field of data management, in particular to a data management system and data management method based on cold, warm and hot data. Background technique [0002] With the development of electronic technology and information technology, the development and use of industrial equipment tends to be large-scale, complex and automated. The scale and performance of the equipment system are also increasing, the coupling between the subsystems in the equipment system is tighter, and the communication between the networks is also more intensive, which makes the equipment generate a large amount of data of various types during the use process. [0003] The traditional equipment data management has great defects. First, the real-time data status of the equipment is unstable, and the data is managed in the software memory. Once the software crashes, the memory will be released; Data management is expensive. The third is that eq...

AI Technical Summary

Problems solved by technology

[0003] The traditional equipment data management has great defects. First, the real-time data status of the equipment is unstable, and the data is managed in the software memory. Once the software crashes, the memory will be released; Data management costs are high

The third is that equipment data management is not classified and hierarchically managed according to data characteristics, which cannot meet the multi-level, diversified and flexible data management needs of contemporary equipment, especially high-end equipment

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