Information synchronization method, device and equipment

Abstract

The invention provides an information synchronization method, device and equipment, and relates to the technical field of information processing. The information synchronization method comprises the following steps: data acquisition: acquiring data or information from source equipment or a system; data conversion: converting and processing the acquired data so as to meet the requirements of target equipment or a system; data transmission: transmitting the data from the source end to the target end; data storage: the received data is stored at the target end, and a database or file storage mode is usually adopted; and data updating: ensuring that the data of the target end is consistent with the data of the source end, which may include incremental updating and full-amount updating modes. According to the invention, data between different systems or devices can be always kept consistent, and through an effective synchronization mechanism, repeated storage or transmission of the same data can be avoided, data redundancy and storage overhead can be reduced, data updating can be reflected to a target system in the shortest time, and the real-time performance and response speed of the system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of information processing, and particularly to an information synchronization method, apparatus and device. Background Art

[0002] In today's digital environment, there are various systems within enterprises and organizations. For example, a large e-commerce enterprise may have an e-commerce platform system for users to place orders, as well as an inventory management system, a logistics distribution system, etc. These systems are often developed and maintained independently, and the data between them needs to be kept consistent. Taking inventory management as an example, when a commodity on the e-commerce platform is purchased by a user, the inventory quantity of the commodity in the e-commerce platform system needs to be updated in a timely manner, and this updated inventory information needs to be synchronized to the inventory management system. If the information cannot be synchronized in a timely manner, it may occur that the e-commerce platform shows that the commodity is in stock, but in fact the commodity is out of stock in the actual inventory management system, which will lead to a decline in user experience and may even cause transaction disputes.

[0003] With the development of information technology, distributed systems are becoming more and more common. In a distributed system, data is stored on multiple nodes, and these nodes may be distributed in different geographical locations. For example, the user data of a multinational company may be distributed in data centers in various countries. In this case, it is more complicated to ensure information synchronization. There may be problems such as network latency and bandwidth limitation between different nodes, which will affect the efficiency and accuracy of information synchronization.

[0004] Moreover, nodes in a distributed system may fail. After a certain node fails and recovers, how to quickly and accurately synchronize its data with other nodes is also an urgent problem to be solved.

[0005] Therefore, those skilled in the art have provided an information synchronization method, apparatus and device to solve the problems raised in the above background art. Summary of the Invention

[0006] (1) Technical Problems to be Solved

[0007] Aiming at the deficiencies of the prior art, the present invention provides an information synchronization method, apparatus and device, and solves the problem that nodes in a distributed system may fail. After a certain node fails and recovers, how to quickly and accurately synchronize its data with other nodes is also an urgent problem to be solved.

[0008] (2) Technical Solutions

[0009] To achieve the above object, the present invention is realized through the following technical solutions:

[0010] An information synchronization method, comprising:

[0011] Data acquisition, obtaining data or information from a source device or system;

[0012] Data conversion, converting and processing the acquired data to meet the requirements of the target device or system;

[0013] Data transmission, transmitting data from the source end to the target end;

[0014] Data storage, storing the received data at the target end, usually in the form of database or file storage;

[0015] Data update, ensuring that the data at the target end is consistent with the source end, which may include incremental updates and full updates.

[0016] Furthermore, the methods of data acquisition are as follows:

[0017] File synchronization, obtaining data through file system interfaces (such as FTP, SFTP, rsync, etc.). Data can be read from local or remote servers through these interfaces, and then synchronized. The content of the file is obtained through the file system API, network protocol, or synchronization tool, and copied or updated to the target location;

[0018] Database synchronization, obtaining data through the replication function of the database. During the database synchronization process, data changes are obtained by querying the database and using incremental logs, triggers, or database replication mechanisms, and then synchronized;

[0019] Real-time data synchronization, obtaining data through message queues or real-time stream processing technologies. Newly generated data is obtained from the queue by the consumers of the message queue, or real-time event stream data is obtained through a real-time stream platform;

[0020] API synchronization, obtaining data through RESTful API or SOAP API interfaces. The target system requests the API to obtain the latest data status and synchronizes it to the local or other systems as needed. Data is obtained from the remote system through API requests, which may involve data exchange in JSON or XML formats;

[0021] Data warehouse synchronization, usually obtaining data from various source systems through ETL (Extract, Transform, Load) tools, and then extracting, transforming, and loading the data into the data warehouse. Data is extracted from various data sources regularly or in real-time through ETL tools, and then transformed and loaded into the target data warehouse;

[0022] Cloud synchronization, involving synchronizing data through the APIs and services provided by cloud service providers (such as AWS, Google Cloud, Azure, etc.). Data in the cloud is obtained through the API interfaces provided by the cloud platform and then synchronized.

[0023] Furthermore, the data conversion is used to convert data in terms of format, structure, content, semantics, etc. during the process of synchronizing data from the source system to the target system, so as to ensure that the data can correctly meet the requirements of the target system. Specifically, it includes:

[0024] Format conversion, which changes the storage format of data to conform to the requirements of the target system. For example, converting a CSV file to JSON or XML, or converting XML to CSV;

[0025] Data cleaning, which processes dirty data (such as missing values, duplicate data, inconsistent data, etc.) in the original data to ensure data quality. For example, cleaning data from multiple sources to make it meet the consistency requirements;

[0026] Data summarization and aggregation, which summarizes, combines, or aggregates data as needed to transfer the data to the target system in a more concise or structured form. For example, summarizing sales data for multiple time periods into a monthly total, or combining multiple rows of data into one record;

[0027] Data splitting and distribution, which splits one record into multiple records, or combines multiple records into one record. For example, splitting the address in one record into street, city, and postal code, or splitting multiple items in a transaction into multiple records;

[0028] Data mapping and calculation, which calculates based on the values of the source data to generate new data fields or perform data conversion. For example, calculating the age range of a user based on the age field, or calculating the discounted price based on the product price;

[0029] Data deduplication, which removes duplicate records or data during the synchronization process. For example, when synchronizing multiple data sources to a database, ensuring that there is no duplicate user or order data;

[0030] Data incremental synchronization, which only synchronizes the incremental part of the data, that is, the data that has changed since the last synchronization, avoiding full synchronization and saving resources. For example, only synchronizing newly added or updated data every day instead of resynchronizing all data.

[0031] Furthermore, the methods of data transmission include:

[0032] Bulk transmission, which can transfer a large amount of data from the source system to the target system at one time, usually at a predetermined time interval, and is suitable for scenarios with large amounts of data and low real-time requirements;

[0033] Real-time transmission, where data is transmitted to the target system in real time as it is generated in the source system, usually used for scenarios that require immediate response;

[0034] Incremental transfer only transfers the newly added or changed data in the source system to the target system, avoiding the repeated transfer of all data. It is usually carried out by identifying the changed data, only transferring the changed data, which reduces the amount of transferred data and bandwidth consumption.

[0035] Point-to-point transfer means that data is directly transferred between two systems without going through intermediate links or third-party services. The transfer is simple and efficient, but the integration requirements between systems are relatively high. It is suitable for simple scenarios, such as one-time data synchronization between systems.

[0036] Synchronous transfer requires waiting for the confirmation response from the target system when data is transferred from the source system to the target system, usually ensuring the reliability and consistency of the data.

[0037] Furthermore, the data storage method includes:

[0038] Database storage is the most commonly used data storage method in information synchronization. Data is managed and stored through relational databases or non-relational databases.

[0039] Distributed storage disperses data storage across multiple physical or virtual nodes to improve data redundancy, reliability, and scalability, providing high availability and fault tolerance. Data can be stored across multiple servers.

[0040] Cache storage stores frequently accessed data in a cache to improve data reading speed and reduce the access pressure on the database.

[0041] Object storage stores data as objects rather than traditional files or blocks, which is suitable for storing large-scale unstructured data.

[0042] Furthermore, the data update methods include:

[0043] Full update copies all the data in the source system to the target system again, replacing the original data in the target system.

[0044] Incremental update updates the data that has changed since the last synchronization (such as newly added, modified, or deleted data) to the target system.

[0045] Regular update performs data synchronization and update according to a predetermined time interval. The update period can be flexibly set according to actual needs. It is applicable to applications that do not require real-time synchronization and is usually used for batch processing.

[0046] Batch update packs a group of data together for update to the target system, usually completed within a specified time interval, and usually carried out in the background. It is suitable for scenarios where there is a large amount of data change but real-time synchronization is not required.

[0047] Asynchronous update means that the synchronization operation of data is carried out in the background, and the system continues to execute other tasks without waiting for the update to complete, improving the response speed of the system and not affecting the real-time operation of the system due to the synchronization process.

[0048] Furthermore, an information synchronization device includes:

[0049] A network switch for transmitting data from a source device to a target device;

[0050] A storage server for storing and managing synchronization data to ensure data backup and recovery;

[0051] A gateway device, a device connecting different networks, capable of performing data synchronization between different communication protocols and network environments;

[0052] A first synchronization module for receiving first synchronization information corresponding to data, status, or information;

[0053] A first display module for displaying at least one operation entry according to the first synchronization information;

[0054] A first request module for sending a request to the server whether to continue synchronizing data based on a triggering operation of the user on the at least one operation entry;

[0055] A second synchronization module for receiving second synchronization information, where the second synchronization information is synchronously generated based on a request message sent by the user terminal to the server whether to continue synchronizing data;

[0056] A second display module for displaying the second synchronization information.

[0057] Furthermore, an electronic device includes:

[0058] A processor;

[0059] A memory for storing executable instructions of the processor;

[0060] The processor is used to perform operations corresponding to the information synchronization method according to any one of claims 1-6 above.

[0061] Furthermore, an information synchronization device includes:

[0062] A synchronization processor responsible for processing data conversion and management during the synchronization process to ensure compatibility of data formats and structures;

[0063] A communication interface for data transmission with other devices, and common interfaces include Ethernet, Wi-Fi, and Bluetooth;

[0064] A storage medium for storing data during the synchronization process, which may include hard disks, solid-state drives, and cloud storage;

[0065] Control software, responsible for scheduling synchronization tasks, monitoring synchronization status, and handling exceptions, usually a centralized management platform or a local application.

[0066] (III) Beneficial effects

[0067] The present invention provides an information synchronization method, device, and equipment. The following beneficial effects are achieved:

[0068] 1. The present invention provides an information synchronization method, device, and equipment. The information synchronization method can ensure that the data between different systems or devices is always consistent, and through an effective synchronization mechanism, it is possible to avoid duplicate storage or transmission of the same data, reduce data redundancy and storage overhead, and enable the update of data to be reflected in the target system in the shortest time, improving the real-time performance and response speed of the system.

[0069] 2. The present invention provides an information synchronization method, device, and equipment. The information synchronization device and equipment can perform data synchronization between multiple geographical locations and different platforms, enhancing the scalability and flexibility of the system, enabling users to seamlessly switch between different terminals or devices while maintaining data updates and consistency.

[0070] 3. The present invention provides an information synchronization method, device, and equipment. Through a reasonably designed information synchronization method and equipment, it is possible to achieve optimal allocation of resources, reduce unnecessary data transmission and storage costs, further improve the real-time performance, consistency, reliability, and efficiency of the system, promote the efficient utilization of resources, and enhance the user experience and data security. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 It is a flowchart of the information synchronization method of the present invention;

[0072] Figure 2 It is a schematic diagram of the structural composition of the information synchronization device of the present invention;

[0073] Figure 3 It is a schematic diagram of the structural composition of the electronic device of the present invention;

[0074] Figure 4 It is a schematic diagram of the structural composition of the information synchronization equipment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0075] Next, in combination with the accompanying drawings in the specific embodiments of the present invention, the technical solutions in the specific embodiments of the present invention will be clearly and completely described. Obviously, the described specific embodiments are only a part of the specific embodiments of the present invention, rather than all of the specific embodiments. Based on the specific embodiments of the present invention, all other specific embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention. Specific Embodiments:

[0077] As Figures 1-4 shown, the specific embodiments of the present invention provide an information synchronization method, including:

[0078] Data acquisition, obtaining data or information from a source device or system;

[0079] The ways of data acquisition are as follows:

[0080] File synchronization, obtaining data through a file system interface (such as FTP, SFTP, rsync, etc.). Data can be read from a local or remote server through these interfaces, and then synchronized. The file content is obtained through a file system API, network protocol, or synchronization tool, and copied or updated to the target location;

[0081] Database synchronization, obtaining data through the replication function of the database. During the database synchronization process, data changes are obtained by querying the database and using incremental logs, triggers, or database replication mechanisms, and then synchronized;

[0082] Real-time data synchronization, obtaining data through a message queue or real-time stream processing technology. Newly generated data is obtained from the queue by a consumer of the message queue, or real-time generated event stream data is obtained through a real-time stream platform;

[0083] API synchronization, obtaining data through RESTful API or SOAP API interfaces. The target system requests the API to obtain the latest data status and synchronizes it to the local or other systems as needed. Data is obtained from a remote system through an API request, which may involve data exchange in JSON or XML formats;

[0084] Data warehouse synchronization, usually obtaining data from various source systems through ETL (Extract, Transform, Load) tools, and performing data extraction, transformation, and then loading into the data warehouse. Data is extracted from various data sources regularly or in real-time by ETL tools, and transformed and loaded into the target data warehouse;

[0085] Cloud synchronization involves synchronizing data through APIs and services provided by cloud service providers (such as AWS, Google Cloud, Azure, etc.), obtaining data from the cloud through the API interfaces provided by the cloud platform, and performing synchronization.

[0086] Data transformation involves transforming and processing the obtained data to meet the requirements of the target device or system.

[0087] Data transformation is used to transform data in terms of format, structure, content, semantics, etc. during the process of synchronizing data from the source system to the target system to ensure that the data can correctly adapt to the requirements of the target system. Specifically, it includes:

[0088] Format conversion, which changes the storage format of the data to meet the requirements of the target system. For example, converting a CSV file to JSON or XML, or converting XML to CSV.

[0089] Data cleaning, which processes the dirty data (such as missing values, duplicate data, inconsistent data, etc.) in the original data to ensure data quality. For example, cleaning data from multiple sources to meet the consistency requirements.

[0090] Data summarization and aggregation, which summarizes, combines, or aggregates data as needed to pass the data to the target system in a more concise or structured form. For example, summarizing sales data for multiple time periods into a monthly total, or combining multiple rows of data into one record.

[0091] Data splitting and distribution, which splits a record into multiple records, or combines multiple records into one record. For example, splitting the address in a record into street, city, and postal code, or splitting multiple items in a transaction into multiple records.

[0092] Data mapping and calculation, which calculates based on the values of the source data to generate new data fields or perform data transformation. For example, calculating the age group based on the user's age field, or calculating the discounted price based on the product price.

[0093] Data deduplication, which removes duplicate records or data during the synchronization process. For example, when synchronizing multiple data sources to a database, ensuring that there are no duplicate user or order data.

[0094] Data incremental synchronization, which only synchronizes the incremental part of the data, that is, the data that has changed since the last synchronization, avoiding full synchronization and saving resources. For example, only synchronizing the newly added or updated data every day instead of resynchronizing all the data.

[0095] Data transmission involves transmitting data from the source end to the target end.

[0096] The ways of data transmission include:

[0097] Bulk transfer can transfer a large amount of data from the source system to the target system at one time, usually at a pre-determined time interval, and is suitable for scenarios with large amounts of data and low real-time requirements;

[0098] Real-time transfer, data is transferred to the target system in real-time while it is generated in the source system, and is usually used for scenarios that require immediate response;

[0099] Incremental transfer only transfers the newly added or changed data in the source system to the target system, avoiding the repeated transfer of all data. It is usually carried out by identifying the changed data, only transferring the changed data, reducing the amount of data transferred and bandwidth consumption;

[0100] Point-to-point transfer, data is directly transferred between two systems without going through intermediate links or third-party services. The transfer is simple and efficient, but the integration requirements between systems are relatively high, and it is suitable for simple scenarios such as one-time data synchronization between systems;

[0101] Synchronous transfer, when data is transferred from the source system to the target system, it needs to wait for the confirmation response from the target system, usually ensuring the reliability and consistency of the data.

[0102] Data storage, the received data is stored at the target end, usually using database or file storage methods;

[0103] Data storage methods include:

[0104] Database storage, database storage is the most commonly used data storage method in information synchronization, and data is managed and stored through relational databases or non-relational databases;

[0105] Distributed storage, distributes data across multiple physical or virtual nodes to improve data redundancy, reliability, and scalability, providing high availability and fault tolerance. Data can be stored across multiple servers;

[0106] Cache storage, cache storage stores frequently accessed data in a cache to improve data reading speed and reduce the access pressure on the database;

[0107] Object storage, object storage stores data as objects rather than traditional files or blocks, and is suitable for storing large-scale unstructured data.

[0108] Data update, ensures that the data at the target end is consistent with the source end, and may include incremental updates and full updates;

[0109] Data update methods include:

[0110] Full update: All data in the source system is copied again to the target system, replacing the original data in the target system.

[0111] Incremental update: The data that has changed since the last synchronization (such as newly added, modified, or deleted data) is updated to the target system.

[0112] Regular update: Data synchronization and update are performed according to a predetermined time interval. The update period can be flexibly set according to actual needs, which is applicable to applications that do not require real-time synchronization and is usually used for batch processing.

[0113] Batch update: A group of data is packaged and updated to the target system together, usually completed within a specified time interval and usually performed in the background, which is applicable to scenarios where there is a large amount of data change but real-time synchronization is not required.

[0114] Asynchronous update: It means that the data synchronization operation is performed in the background, and the system continues to execute other tasks without waiting for the update to complete, improving the system's response speed and not affecting the real-time operation of the system due to the synchronization process.

[0115] The information synchronization device includes:

[0116] A network switch, used to transfer data from the source device to the target device.

[0117] A storage server, used to store and manage the synchronized data to ensure data backup and recovery.

[0118] A gateway device, a device that connects different networks and can perform data synchronization between different communication protocols and network environments.

[0119] The first synchronization module, used to receive the first synchronization information corresponding to data, status, or information.

[0120] The first display module, used to display at least one operation entry according to the first synchronization information.

[0121] The first request module, used to send a request to the server to determine whether to continue synchronizing data based on the user's trigger operation on at least one operation entry.

[0122] The second synchronization module, used to receive the second synchronization information, which is synchronously generated based on the request message sent by the user terminal to the server to determine whether to continue synchronizing data.

[0123] The second display module, used to display the second synchronization information.

[0124] The electronic device includes:

[0125] A processor;

[0126] A memory for storing processor-executable instructions;

[0127] A processor for performing operations corresponding to the information synchronization method of any one of the above claims 1-6.

[0128] The information synchronization device includes:

[0129] A synchronization processor responsible for processing data conversion and management during the synchronization process to ensure compatibility of data formats and structures;

[0130] A communication interface for data transmission with other devices. Common interfaces include Ethernet, Wi-Fi, and Bluetooth;

[0131] A storage medium for storing data during the synchronization process, which may include hard disks, solid-state drives, and cloud storage;

[0132] Control software responsible for scheduling synchronization tasks, monitoring synchronization status, and handling exceptions, usually a centralized management platform or a local application.

[0133] In the present invention, the information synchronization method can ensure that data between different systems or devices always remains consistent, and through an effective synchronization mechanism, duplicate storage or transmission of the same data can be avoided, reducing data redundancy and storage overhead, enabling data updates to be reflected in the target system in the shortest time, and improving the real-time performance and response speed of the system.

[0134] In the present invention, the information synchronization device and equipment can perform data synchronization between multiple geographical locations and different platforms, enhancing the scalability and flexibility of the system, enabling users to seamlessly switch between different terminals or devices while maintaining data updates and consistency.

[0135] In the present invention, through a reasonably designed information synchronization method and device, optimal allocation of resources can be achieved, unnecessary data transmission and storage costs can be reduced, the real-time performance, consistency, reliability, and efficiency of the system can be further improved, efficient utilization of resources can be promoted, and the user experience and data security can be enhanced.

[0136] Although specific embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions, and variations can be made to these specific embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An information synchronization method, characterized in that: include: Data acquisition, obtaining data or information from source devices or systems; Data conversion: converting and processing the acquired data to meet the requirements of the target device or system; Data transfer, transferring data from the source to the destination; Data storage: storing the received data on the target end, usually in the form of database or file storage; Data update ensures that the data on the target end is consistent with the data on the source end, which may include incremental update or full update.

2. The information synchronization method according to claim 1, characterized in that: The data acquisition method is as follows: File synchronization, which obtains data through file system interfaces. Files can be read from local or remote servers through these interfaces, and then synchronized. File contents are obtained through file system APIs, network protocols, or synchronization tools, and copied or updated to the target location; Database synchronization, which obtains data through the database replication function. During the database synchronization process, the data changes are obtained and synchronized by querying the database and using incremental logs, triggers or database replication mechanisms; Real-time data synchronization, obtaining data through message queues or real-time stream processing technology, obtaining newly generated data from the queue through message queue consumers, or obtaining real-time generated event stream data through real-time streaming platforms; API synchronization, obtaining data through RESTful API and SOAP API interfaces. The target system obtains the latest data status by requesting the API and synchronizes it to the local or other systems as needed. It obtains data from the remote system through API requests, which may involve data exchange in JSON and XML formats; Data warehouse synchronization usually uses ETL tools to obtain data from various source systems, extract and transform data, and then load it into the data warehouse. ETL tools are used to extract data from various data sources regularly or in real time, and then transform and load it into the target data warehouse; Cloud synchronization involves synchronizing data through APIs and services provided by cloud service providers, obtaining cloud data through API interfaces provided by the cloud platform, and synchronizing them.

3. The information synchronization method according to claim 1, characterized in that: The data conversion is used to convert the format, structure, content or semantics of the data during the synchronization process from the source system to the target system to ensure that the data can correctly adapt to the requirements of the target system, including: Format conversion, changing the storage format of data to meet the requirements of the target system, for example, converting CSV files to JSON, XML, or converting XML to CSV; Data cleaning, processing dirty data in raw data and ensuring data quality, for example, cleaning data from multiple sources to make it meet consistency requirements; Data aggregation and summarization: Summarize, merge or aggregate data as needed to deliver it to the target system in a more concise or structured form, for example, summarizing sales data for multiple time periods into a monthly total or merging multiple rows of data into a single record; Data splitting and allocation, splitting a record into multiple records, or merging multiple records into one record, for example, splitting an address in a record into street, city, and zip code, or splitting multiple items in a transaction into multiple records; Data mapping and calculation: Calculate based on the value of source data to generate new data fields or perform data transformation. For example, calculate the age group of the user based on the user's age field, or calculate the discounted price based on the product price. Data deduplication: removing duplicate records or data during the synchronization process. For example, when synchronizing multiple data sources into one database, ensuring that there is no duplicate user or order data. Incremental data synchronization only synchronizes the incremental part of the data, that is, the data that has changed since the last synchronization, avoiding full synchronization and saving resources. For example, only the newly added or updated data is synchronized every day instead of resynchronizing all the data.

4. The information synchronization method according to claim 1, characterized in that: The data transmission method includes: Batch transfer can transfer a large amount of data from the source system to the target system at one time, usually at a predetermined time interval. It is suitable for scenarios with large data volumes and low real-time requirements. Real-time transmission: data is transmitted to the target system in real time as it is generated in the source system. It is usually used in scenarios that require immediate response. Incremental transmission only transfers the newly added or changed data in the source system to the target system, avoiding repeated transmission of the full amount of data. This is usually done by marking the changed data and only transmitting the changed data, thus reducing the amount of data transmitted and bandwidth consumption. Point-to-point transmission: data is directly transmitted between two systems without going through any intermediate links or third-party services. The transmission is simple and efficient, but the integration requirements between systems are high. It is suitable for simple scenarios, such as one-time data synchronization between systems. Synchronous transmission: When data is transmitted from the source system to the target system, it is necessary to wait for the confirmation response from the target system, which usually ensures the reliability and consistency of the data.

5. The information synchronization method according to claim 1, characterized in that: The data storage method comprises: Database storage: Database storage is the most commonly used data storage method in information synchronization. It manages and stores data through relational databases or non-relational databases. Distributed storage: Distributed storage stores data in multiple physical or virtual nodes to improve data redundancy, reliability, and scalability, provide high availability and fault tolerance, and data can be stored across multiple servers; Cache storage: Cache storage is to store frequently accessed data in a high-speed cache to increase data reading speed and reduce access pressure on the database; Object storage stores data as objects rather than traditional files or blocks, and is suitable for storing large-scale unstructured data.

6. The information synchronization method according to claim 1, characterized in that: The data updating methods include: Full update: copy all data in the source system to the target system and replace the original data in the target system. Incremental update, which updates the target system with data that has changed since the last synchronization; Periodic update: data synchronization is performed according to a predetermined time interval. The update cycle can be flexibly set according to actual needs. It is suitable for applications that do not require real-time synchronization and is usually used for batch processing. Batch update: a group of data is packaged and updated to the target system. It is usually completed within a specified time interval and is usually performed in the background. It is suitable for scenarios where the amount of data changes is large but real-time synchronization is not required. Asynchronous update means that the data synchronization operation is performed in the background. The system continues to perform other tasks without waiting for the update to be completed, which improves the system's response speed and does not affect the real-time operation of the system due to the synchronization process.

7. An information synchronization device, characterized in that: include: Network switches, used to transfer data from source devices to destination devices; Storage server, used to store and manage synchronization data and ensure data backup and recovery; Gateway devices, devices that connect different networks and can synchronize data between different communication protocols and network environments; A first synchronization module, used for receiving first synchronization information corresponding to data, status or information; A first display module, configured to display at least one operation entry according to the first synchronization information; A first request module, configured to send a request to the server whether to continue synchronizing data based on a trigger operation of the at least one operation entry by the user; A second synchronization module, configured to receive second synchronization information, wherein the second synchronization information is synchronously generated based on a request message sent by the user end to the server end for whether to continue synchronizing data; The second display module is used to display the second synchronization information.

8. An electronic device, characterized in that: The electronic device comprises: processor; a memory for storing instructions executable by the processor; The processor is used to execute operations corresponding to the information synchronization method described in any one of claims 1-6 above.

9. An information synchronization device, characterized in that: include: The synchronization processor is responsible for handling data conversion and management during the synchronization process to ensure the compatibility of data formats and structures; Communication interface, used for data transmission with other devices. Common interfaces include Ethernet, Wi-Fi, and Bluetooth. Storage media, used to store data during synchronization, which may include hard disks, solid-state drives, and cloud storage; Control software is responsible for scheduling synchronization tasks, monitoring synchronization status, and handling exceptions. It is usually a centralized management platform or a local application.

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