Mobile collaboration platform data synchronization method

Abstract

The invention relates to the technical field of data synchronization, and discloses a mobile collaboration platform data synchronization method, which comprises the following steps of: 1, establishing a data category set, and distinguishing categories of data through the data category set; 2, classifying and concluding the original data according to the data category set, and forming an arrangement data set; step 3, carrying out data category grade division on the data category set; step 4, setting ports for the data category set after category grade division; and step 5, storing the synchronized data. The data are classified and sorted, the data structure is optimized, so that the data are more reasonable and orderly, the possibility of data damage is reduced, the data are divided into general, important and core levels, the highest-level security measures are implemented on the core data, the risk that the core data are leaked and tampered can be greatly reduced, the confidentiality of the data is enhanced from the source, and the security of the data is improved. The defects of a traditional synchronization mode in safety protection are overcome, and the storage and retrieval efficiency is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data synchronization, and specifically provides a method for synchronizing data in a mobile collaboration platform. Background Art

[0002] In the current era of rapid digital development, the enterprise operation environment has become increasingly complex and changeable, which constitutes the background for the emergence of data synchronization in mobile collaboration platforms.

[0003] On the one hand, with the acceleration of globalization, enterprise organizational structures have become more decentralized, and cross-regional and cross-departmental teamwork has become the norm. Employees are no longer restricted to a fixed office location and may be in a mobile working state at any time, such as visiting customers outside the office or remotely handling affairs at home. Team members in different regions need to share data such as project materials, customer information, and business progress in real time to ensure smooth work connection and avoid duplicate labor or decision-making mistakes caused by information gaps. This urgently requires the mobile collaboration platform to achieve data synchronization, enabling scattered individuals to collaborate as if they were in the same office.

[0004] On the other hand, the widespread popularity of smart mobile devices provides the hardware foundation for mobile work. People are accustomed to using mobile phones and tablets to handle work, and various office APPs emerge in an endless stream. However, if the data on different devices cannot be updated synchronously, it will greatly reduce work efficiency. For example, if a salesperson updates the customer order status on the mobile phone but cannot see the latest information on the computer when returning to the office, it will seriously hinder the progress of the business process.

[0005] Furthermore, in the big data era, the amount of data has grown explosively, and data is updated frequently. Each business system within the enterprise, such as ERP and CRM, continuously generates new data. If the mobile collaboration platform cannot synchronize the information of these data sources in a timely manner, employees will obtain stale data and be unable to make accurate judgments based on the latest situation, affecting the overall competitiveness of the enterprise. Therefore, data synchronization has become a key requirement for the development of mobile collaboration platforms.

[0006] During the data synchronization process of the mobile collaboration platform, due to the lack of reasonable data classification management, the data is messy, and there may be problems such as damage, tampering of insecure data, and inability to quickly and effectively search, adding complexity to the use of data. Summary of the Invention

[0007] (1) Technical Problems to be Solved

[0008] In view of the deficiencies of the prior art, the present invention provides a method for data synchronization of a mobile collaboration platform, which has the advantages of classifying and sorting data, optimizing the data structure to make it more reasonable and orderly, reducing the possibility of data corruption, classifying data into general, important, core levels, implementing the highest level of security measures for core data, greatly reducing the risk of core data being leaked or tampered with, strengthening the confidentiality of data from the source, making up for the deficiencies of traditional synchronization methods in security protection, making data orderly by classifying and sorting data, and greatly improving the storage and retrieval efficiency.

[0009] (II) Technical Solution

[0010] To achieve the above object, the present invention provides the following technical solution: A method for data synchronization of a mobile collaboration platform, comprising the following steps:

[0011] Step 1: Establish a data category set, and classify data through the data category set;

[0012] Step 2: Classify and summarize the original data according to the data category set, and form a sorted data set;

[0013] Step 3: Divide the data category levels for the data category set;

[0014] Step 4: Open ports for the data category set after the category level division;

[0015] Step 5: Store the synchronized data.

[0016] Preferably, in the above Step 1, the expression of the data category set is:

[0017] SJlb = FL1, FL2, FL3,..., FL n

[0018] In the expression, SJlb represents the data category set, FL1 represents the first data category in the data category set, FL n represents the last data category in the data category set, and n represents that there are n data categories in the data category set.

[0019] Preferably, in the above Step 2, the expression of the sorted data set is:

[0020]

[0021] In the expression, FL i represents the i-th sorted data set, ZLsj1 represents the first data in the sorted data set, ZLsj m represents the last data in the sorted data set, m represents that there are m data in the sorted data set, FL i∈SJlb represents that the sorted data set belongs to the data category set.

[0022] Preferably, in the third step, the data category level is specifically divided into a first level, a second level, and a third level. The data category of the first level is determined as general data, the data category of the second level is determined as important data, and the data category of the third level is determined as core data.

[0023] Preferably, the representative formula of the data category set after the level division is:

[0024]

[0025] In the representative formula, DJlb represents the data category set after the level division, YBsj represents the general data category, Dyfl1 represents the first data category within the general data category, and Dyfl x represents the last data category within the general data, ZYsJ represents the important data category, Defl1 represents the first data category within the important data category, and Defl x represents the last data category within the important data category, HXsj represents the core data category, Dsfl1 represents the first data category within the core data category, and Dsfl x represents the last data category within the core data category, x represents the number of data categories, and DJlb∈SJlb represents that the data category set after the level division belongs to the data category set.

[0026] Preferably, in the fourth step, ports are opened for the data category set after the category level division. The general data category opens a data query port and a data synchronization port. The data query port is used to view the data, and the data synchronization port is used to correct and synchronize the data.

[0027] Preferably, in the fourth step, ports are opened for the data category set after the category level division. The important data opens a data query port, a data transmission port, a data confirmation port, and a data synchronization port. The data query port is used to view the data, the data transmission port is used to correct the data, the data confirmation port is used to review and confirm the corrected data, and the data synchronization port is used to correct and synchronize the confirmed transmitted data.

[0028] Preferably, in the step four, ports are opened for the data category set after category level division, and the core data opens a data query port, a data transmission port, a data confirmation port and a data synchronization port. The data query port is used to view the data, the data transmission port is used to correct the data, the data confirmation port is used to review and confirm the corrected data, and the data synchronization port is used to correct and synchronize the confirmed transmission data.

[0029] Preferably, the modified synchronization data expression is:

[0030] TBSj k =YSSj+(g*XZSj)

[0031] In the expression, fBsj k represents the kth synchronization data, g is the number of times the data is modified, and XZsj represents the corresponding modified value of the data.

[0032] Preferably, the modified synchronization data is stored in a hierarchically divided data category set.

[0033] Compared with the existing technology, the present invention provides a method for synchronizing data on a mobile collaborative platform, which has the following beneficial effects:

[0034] 1. The present invention first distinguishes data through a data category set to reduce the risk of data leakage or damage, and then makes the data orderly through classification and organization, greatly improving storage and retrieval efficiency, which helps to better understand the value and importance of data. At the same time, it can help optimize the structure of data, make the data present a more reasonable and easy-to-understand structure, and improve the readability and operability of the data. Finally, the data is divided into general data, important data and core data to make the data orderly. The highest level of security measures can be implemented on the core data, greatly reducing the risk of core data being leaked or tampered with, and protecting the core confidentiality and key business information of the enterprise.

[0035] 2. The present invention opens different windows for data of different levels to facilitate the use of data of different levels. At the same time, an audit mechanism is set up for important data and core data to ensure the correctness of the data. Network bandwidth can also be allocated according to the importance and frequency of use of the data. For example, the window for core data can be allocated a higher priority and a larger bandwidth to ensure that it can be transmitted quickly and stably when needed, reducing data transmission delays or failures caused by network congestion. The window for general data can be transmitted when network resources are relatively idle, which can avoid a large amount of non-critical data occupying network resources, thereby optimizing the performance of the entire network and improving the overall efficiency of data synchronization. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 This is the process step diagram of the present invention. Detailed implementation manners

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0038] Please refer to Figure 1 , a method for data synchronization of a mobile collaboration platform, including the following steps:

[0039] Step 1: Establish a data category set, and classify data through the data category set;

[0040] The expression of the data category set is:

[0041] SJlb = FL1, FL2, FL3,..., FL n

[0042] In the expression, SJlb represents the data category set, FL1 represents the first data category in the data category set, FL n represents the last data category in the data category set, and n represents that there are n data categories in the data category set;

[0043] Classifying data through the data category set can reduce the risk of data leakage or damage. By implementing different security policies and control measures for different types of data, the overall data security can be enhanced. At the same time, data classification helps to better understand the value and importance of data, thus supporting more informed decision-making;

[0044] Step 2: Classify and summarize the original data according to the data category set, and form an organized data set;

[0045] The expression of the organized data set is:

[0046]

[0047] In the expression, FL i represents the i-th organized data set, ZLsj1 represents the first data in the organized data set, ZLsj m represents the last data in the organized data set, m represents that there are m data in the organized data set, and FL i ∈SJlb represents that this organized data set belongs to the data category set;

[0048] Through classification and collation, the data becomes orderly, significantly improving the efficiency of storage and retrieval, helping to better understand the value and importance of the data. At the same time, it can help optimize the data structure, making the data present a more reasonable and understandable structure, improving the readability and operability of the data. It can also quickly discover and eliminate redundant data, thereby improving the quality and usability of the data, providing strong support for subsequent data analysis and decision-making;

[0049] Step 3: Perform data category level division on the data category set;

[0050] The data category level division is specifically divided into the first level, the second level, and the third level. The data categories at the first level are determined as general data, the data categories at the second level are determined as important data, and the data categories at the third level are determined as core data;

[0051] The representative formula of the data category set after level division is:

[0052]

[0053] In the representative formula, DJlb represents the data category set after level division, YBsj represents the general data category, Dyfl1 represents the first data category within the general data category, Dyfl x represents the last data category within the general data, ZYsJ represents the important data category, Defl1 represents the first data category within the important data category, Defl x represents the last data category within the important data category, HXsj represents the core data category, Dsfl1 represents the first data category within the core data category, Dsfl x represents the last data category within the core data category, x represents the number of data categories, and DJlb ∈ SJlb represents that the data category set after level division belongs to the data category set;

[0054] Dividing the data into general data, important data, and core data makes the data orderly. After grading the data, the highest level of security measures can be implemented for the core data, greatly reducing the risk of the core data being leaked or tampered with, protecting the core secrets and key business information of the enterprise. For important data, relatively strong security protection means can also be taken, which helps to meet the normal usage requirements of important data for the daily business operations of the enterprise while ensuring data security. Although the value of general data is relatively low, it may still contain some sensitive information, and basic security protection can be carried out on it, while avoiding excessive investment in security protection resources to achieve effective allocation of security costs;

[0055] Step 4: Open ports for the data category set after category level division;

[0056] General data categories have data query ports and data synchronization ports. The data query port is used for viewing data, and the data synchronization port is used for correcting and synchronizing data;

[0057] Important data has data query ports, data transmission ports, data confirmation ports, and data synchronization ports. The data query port is used for viewing data, the data transmission port is used for correcting data, the data confirmation port is used for reviewing and confirming the corrected data, and the data synchronization port is used for correcting and synchronizing the confirmed transmitted data;

[0058] Core data has data query ports, data transmission ports, data confirmation ports, and data synchronization ports. The data query port is used for viewing data, the data transmission port is used for correcting data, the data confirmation port is used for reviewing and confirming the corrected data, and the data synchronization port is used for correcting and synchronizing the confirmed transmitted data;

[0059] The expression for the synchronized data after correction is:

[0060] TBSj k = YSsj+(g*XZsj)

[0061] In the expression, TBSj k represents the k-th synchronized data, g is the number of times the data is modified, and XZsj represents the corresponding modification value of the data;

[0062] For data divided into different levels, different windows are opened to facilitate the use of data at different levels. At the same time, an audit mechanism is set for important data and core data to ensure the correctness of the data. The network bandwidth can also be allocated according to the importance and usage frequency of the data. For example, the window of core data can be allocated a higher priority and a larger bandwidth to ensure that it can be transmitted quickly and stably when needed, reducing data transmission delays or failures caused by network congestion. The window of general data can be transmitted when the network resources are relatively idle, which can avoid a large number of non-critical data occupying network resources, thereby optimizing the performance of the entire network and improving the overall efficiency of data synchronization;

[0063] Step Five: Store the synchronized data.

[0064] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these 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. A method for data synchronization of a mobile collaboration platform, characterized in that, It includes the following steps: Step 1: Establish a data category set to classify data by the data category set; Step 2: Classify and summarize the original data according to the data category set to form an organized data set; Step 3: Divide the data category levels for the data category set; Step 4: Open ports for the data category set after the category level division; Step 5: Store the synchronized data.

2. The data synchronization method of a mobile collaboration platform according to claim 1, wherein: In the above Step 1, the expression of the data category set is: SJlb = FL1, FL2, FL3, …, FL n In the expression, SJlb represents the set of data categories, FL1 represents the first data category in the set of data categories, and FL n represents the last data category in the set of data categories, and n represents that there are n data categories in the set of data categories.

3. A method for mobile collaborative platform data synchronization according to claim 2, characterized in that: In the above Step 2, the expression of the organized data set is: In the expression, FL i represents the i-th sorted data set, ZLsj1 represents the first data in the sorted data set, and ZLsj m represents the last data in the sorted data set, m represents that there are m data in the sorted data set, and FL i ∈SJlb means that this sorted data set belongs to the data category set.

4. A method for mobile collaborative platform data synchronization according to claim 3, characterized in that: In the above Step 3, the data category level division is specifically divided into the first level, the second level, and the third level. The data category of the first level is determined as general data, the data category of the second level is determined as important data, and the data category of the third level is determined as core data.

5. A method for synchronizing data of a mobile collaboration platform according to claim 4, characterized in that: The representative expression of the data category set after the level division is: In the representative formula, DJlb represents the set of data categories after grade division, YBsj represents the general data category, Dyfl1 represents the first data category within the general data category, and Dyfl x represents the last data category within the general data, ZYsJ represents the important data category, Defl1 represents the first data category within the important data category, and Defl x represents the last data category within the important data category, HXsj represents the core data category, Dsfl1 represents the first data category in the core data category, and Dsfl x represents the last data category in the core data category, x represents the number of data categories, and DJlb ∈ SJlb means that the set of data categories after grade division belongs to the set of data categories.

6. A method for synchronizing data of a mobile collaboration platform according to claim 5, characterized in that: In the above Step 4, for the data category set after the category level division, open ports. For the general data category, open a data query port and a data synchronization port. The data query port is used to view the data, and the data synchronization port is used to correct and synchronize the data.

7. A method for mobile collaborative platform data synchronization according to claim 6, characterized in that: In the above Step 4, for the data category set after the category level division, open ports. For the important data, open a data query port, a data transmission port, a data confirmation port, and a data synchronization port. The data query port is used to view the data, the data transmission port is used to correct the data, the data confirmation port is used to review and confirm the corrected data, and the data synchronization port is used to correct and synchronize the confirmed transmitted data.

8. A method for mobile collaborative platform data synchronization according to claim 7, characterized in that: In the above Step 4, for the data category set after the category level division, open ports. For the core data, open a data query port, a data transmission port, a data confirmation port, and a data synchronization port. The data query port is used to view the data, the data transmission port is used to correct the data, the data confirmation port is used to review and confirm the corrected data, and the data synchronization port is used to correct and synchronize the confirmed transmitted data.

9. A method for mobile collaborative platform data synchronization according to claim 8, characterized in that: The expression of the corrected synchronized data is: TBsj k = YSsj + (g * XZsj) In the expression, TBsj k represents the k-th synchronization data, g is the number of modification times of this data, and XZsj represents the corresponding modification value of the data.

10. A method for mobile collaborative platform data synchronization according to claim 9, characterized in that: The corrected synchronized data is stored according to the data category set after the level division.

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