Local real-time transition storage cloud data synchronization system and synchronization method thereof

Abstract

The invention discloses a local real-time transition storage cloud data synchronization system and a synchronization method thereof. The system comprises a local data storage library, an independent computer mainboard, editing software and a cloud database, the local data storage library is loaded on the independent computer mainboard, and the editing software is provided with a double-click starting module; the local data storage library comprises a data access port I, a starting module, a synchronization module, a reading module, an independent power supply module, an independent closing module and a selector. When a user edits related character and pattern data in the editing software, the reading module transmits a change data content edited in real time in the editing software to the local data storage library to be stored, local temporary backup is achieved, and a network is not needed; meanwhile, due to the fact that the independent computer mainboard depends on the independent power module to supply power, data loss is avoided. And the data uploading module transmits the new data into the cloud database under the condition that the network state is normal, so that synchronous storage of the data is realized.

Description

technical field [0001] The invention relates to the technical field of cloud data synchronization, in particular to a cloud data synchronization system for local real-time transitional storage and a synchronization method thereof. Background technique [0002] With the development of computers, computer-related system functions are also developing rapidly. The common function related to computers is data storage. Generally, computers are equipped with hard disks or other storage devices for storing data produced during computer operation. However, the storage space of the general hard disk is relatively limited, and the location is fixed at the same time, which is inconvenient for users to extract and use data on different computers. Therefore, cloud data synchronization systems have emerged. The more common ones are virtual storage spaces such as cloud disks. When using some document editing software, etc., the real-time data content edited by the user will be converted int...

AI Technical Summary

Problems solved by technology

[0002] With the development of computers, computer-related system functions are also developing rapidly. The common function related to computers is data storage. Generally, computers are equipped with hard disks or other storage devices for storing data produced during computer operation. However, the storage space of the general hard disk is relatively limited, and the location is fixed at the same time, which is inconvenient for users to extract and use data on different computers. Therefore, cloud data synchronization systems have emerged. The more common ones are virtual storage spaces such as cloud disks. When using some document editing software, etc., the real-time data content edited by the user will be converted into cloud data and stored in the cloud virtual space synchronously to prevent users from forgetting to save

[0003] The disadvantage of the general cloud data synchronization system is that when a general user edits a document, the real-time data needs to pass through the network to be stored in the cloud as cloud data. Once the network is disconnected, the data edited by the user cannot be automatically synchronized and saved to the cloud. In this way, once the computer is shut down unexpectedly, or the software is terminated unexpectedly, the data will be lost and it is difficult to retrieve. At the same time, the data stored in the cloud generally only saves the last stored version, such as a document. There will be multiple different versions of content modification, and the synchronized cloud data is only the version that the user operated last time, so after the user closes the editing software, if he wants to view a certain version in the middle, he cannot query and synchronize to The data in the cloud is messy and disorderly, which brings inconvenience to users

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