Online mobile office system

Abstract

The invention relates to the technical field of mobile communication, in particular to an online mobile office system. The user management unit is based on an identity verification module and an authority control module, provides a multi-level account management system and is used for ensuring that each user can efficiently work within an authorization range; the communication and cooperation unit is based on a multi-level account management system of the user management unit, and uses instant messaging and file sharing technologies to realize seamless communication and cooperation among team members; the process management unit simplifies and accelerates the business process by using an automatic workflow engine based on the collaborative operation of the communication collaboration unit; and the data analysis unit is used for guiding the user to optimize the business process and improve the performance by comprehensively evaluating the potential influence of different business processes based on a normative analysis model. Through a multi-level account management system based on an identity verification module and an authority control module, it is ensured that only authorized users can access specific resources, sensitive information is protected, and unauthorized operation is prevented.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of mobile communication, in particular to an online mobile office system. BACKGROUND

[0002] An online mobile office system is an integrated software solution that provides users with a complete and accessible work environment through the Internet and cloud computing technology. This system allows users to work efficiently and collaborate on information management through mobile devices such as smartphones, tablets or laptops in any place with network connectivity. It not only contains traditional functions such as document editing, email sending and receiving, and scheduling, but also combines modern collaboration tools such as instant messaging, video conferencing, task allocation and tracking, and file sharing, greatly improving team communication efficiency and project advancement speed. In addition, in order to ensure data security and privacy protection, the system uses advanced encryption technology and strict identity verification mechanisms. At the same time, with its cross-platform compatibility and responsive design, users can enjoy consistent and smooth operation experience on both iOS and Android devices. More importantly, some high-end mobile office systems also integrate big data analysis and artificial intelligence algorithms to provide intelligent recommendations, automated workflow processing and deep business insights, helping enterprises optimize decision-making processes and improve overall operational efficiency. In short, the online mobile office system has become an indispensable tool for modern enterprises and remote workers, breaking down the barriers of time and space and making work more flexible, convenient and intelligent.

[0003] In an existing online mobile office system, due to the small screen size and limited input method of mobile devices, the processing of complex tasks and the editing of large amounts of data become inconvenient, affecting operation efficiency; in addition, mobile office is easy to blur the boundaries between work and private life, increasing the possibility of employees' invisible overtime, which may lead to job burnout. At the same time, relying on network connection means that it cannot work normally in no network or weak network environment, and information security problems are always potential risks, especially in data transmission and storage. Therefore, an online mobile office system is designed. SUMMARY

[0004] The present application aims to provide an online mobile office system to solve the problems in the prior art, i.e., in the prior online mobile office system, due to the small screen of the mobile device and the limited input method, the processing of complex tasks and the editing of large amounts of data become inconvenient, affecting the operation efficiency; in addition, mobile office easily leads to the blurring of the boundary between work and private life, increasing the possibility of employees' invisible overtime work, and thus may cause job burnout. At the same time, the dependence on network connection means that it cannot work normally in a network-free or weak network environment, and information security problems are always potential risks, especially in terms of data transmission and storage.

[0005] To achieve the above-mentioned purpose, the present application aims to provide an online mobile office system, comprising a user management unit, which provides a multi-level account management system based on an identity authentication module and a permission control module, for ensuring that each user can work efficiently within the authorized scope;

[0006] A communication and collaboration unit, which uses instant messaging and file sharing technology to realize seamless communication and collaborative work among team members based on the multi-level account management system of the user management unit;

[0007] A process management unit, which uses an automated workflow engine to simplify and accelerate business processes based on the collaborative work of the communication and collaboration unit;

[0008] A data analysis unit, which uses a standardized analysis model to guide users to optimize business processes and improve performance by comprehensively evaluating the potential impact of different business processes.

[0009] As a further improvement of the present technical solution, the user management unit comprises an identity authentication module and a permission control module;

[0010] The identity authentication module is used to confirm whether the user attempting to log in to the system is a legitimate user;

[0011] The permission control module is used to determine the resources that the legitimate user can access and the operations that the legitimate user can perform in the system.

[0012] As a further improvement of the present technical solution, the communication and collaboration unit uses instant messaging and file sharing technology to realize seamless communication and collaborative work among team members based on the multi-level account management system of the user management unit, and the specific steps for realizing seamless communication and collaborative work among team members using instant messaging and file sharing technology are as follows:

[0013] S3.1, the user searches and adds other users as team members within the authorized scope;

[0014] S3.2 Provide instant messaging tools to facilitate team communication;

[0015] S3.3. Through file sharing technology, users can upload, download, and collaboratively edit documents, and version control and change tracking are supported;

[0016] S3.4 Create a task list, set deadlines, assign tasks to team members, and track progress.

[0017] As a further improvement to this technical solution, in S3.3, the specific steps for enabling users to upload, download, and collaboratively edit documents through file sharing technology, and supporting version control and change tracking, are as follows:

[0018] S3.31 When a user uploads a document within the authorized scope, the system automatically creates an initial version and records the metadata;

[0019] S3.32 Team members can download documents, and all access and download operations are recorded by the system to ensure security and transparency;

[0020] S3.33. Through the real-time collaborative editing function, multiple users can edit the same document simultaneously, and the system automatically handles concurrent modifications and provides conflict resolution.

[0021] S3.34 The system supports version control, automatically generating a new version after each edit, and retaining change logs for users to view and roll back.

[0022] As a further improvement to this technical solution, the process management unit, based on the collaborative work of the communication and collaboration unit, uses an automated workflow engine to simplify and accelerate business processes. The specific steps for using an automated workflow engine to simplify and accelerate business processes are as follows:

[0023] S5.1 Select an automated workflow engine that supports complex business logic;

[0024] S5.2 Set automation rules and conditional judgments to enable workflows to intelligently handle different business scenarios;

[0025] S5.3 Verify the correctness and efficiency of the workflow through simulation and actual testing.

[0026] As a further improvement to this technical solution, the specific process of setting automated rules and conditional judgments in S5.2 is as follows:

[0027] S5.21. Collect and analyze business requirements;

[0028] S5.22. Define business rules through task allocation, approval hierarchy, and data validation;

[0029] S5.23. Transform the defined business rules into an executable logical structure using a state machine;

[0030] S5.24. Set trigger conditions and corresponding actions for each rule.

[0031] As a further improvement to this technical solution, the specific steps for verifying the correctness and efficiency of the workflow through simulation and actual testing in S5.3 are as follows:

[0032] S5.31, Create multiple test scenarios;

[0033] The test scenarios include normal operation, boundary conditions, and exception handling scenarios;

[0034] S5.32. Simulate and run the workflow in a controlled environment, and record the execution time and results;

[0035] S5.33. Analyze simulation data and evaluate performance metrics such as success rate and average execution time:

[0036] S5.34. Conduct small-scale real-world testing in a production environment;

[0037] S5.35. Based on the test results, evaluate the correctness and efficiency of the workflow.

[0038] As a further improvement to this technical solution, the data analysis unit, based on a normative analysis model, comprehensively assesses the potential impact of different business processes to guide users in optimizing business processes and improving performance. The specific steps for guiding users in optimizing business processes and improving performance based on the normative analysis model and by comprehensively assessing the potential impact of different business processes are as follows:

[0039] S8.1 Collect business process data from the user management unit, communication and collaboration unit, and process management unit;

[0040] S8.2 Clean and preprocess the collected business process data to remove invalid or redundant information;

[0041] S8.3. Construct a normative analysis model using the gradient decision tree algorithm;

[0042] S8.4 Use the established normative analysis model to comprehensively evaluate different business processes and identify potential influencing factors.

[0043] As a further improvement to this technical solution, the specific construction process of using the gradient decision tree algorithm to construct the normative analysis model in S 8.3 is as follows:

[0044] S8.31. Divide business process data into training set and test set;

[0045] S8.32. Initialize the normative analysis model;

[0046] The initial prediction is as follows:

[0047]

[0048] Where F0(x) represents the initial prediction; L(y) i (i, γ) represents the loss function; γ represents the constant predicted value; i represents the index variable; n represents the number of samples; x represents the input feature vector;

[0049] S8.33, Perform iterative training of the normative analysis model;

[0050] S8.34. Use cross-validation techniques to evaluate the generalization ability of the model.

[0051] As a further improvement to this technical solution, in S 8.4, the specific process of using the constructed normative analysis model to comprehensively evaluate different business processes and identify potential influencing factors is as follows:

[0052] The final prediction result is the weighted sum of all trees;

[0053]

[0054] Among them, F M (x) represents the final prescriptive analysis model's prediction of the input x; M represents the number of decision trees; η represents the learning rate; h m (x) represents the prediction of the m-th decision tree; m represents the nth decision tree;

[0055] Each decision tree divides the data into different subsets through recursive partitioning, and each leaf node ultimately corresponds to a prediction result.

[0056]

[0057] Where T(x) represents the decision tree's prediction of the input x; f(x) represents the feature function used for segmentation; t represents the threshold; T L (x) represents the prediction of the left child number; T R (x) represents the prediction of the right child number.

[0058] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0059] 1. This online mobile office system employs a multi-level account management system based on authentication and access control modules to ensure that only authorized users can access specific resources, protecting sensitive information and preventing unauthorized operations. Utilizing instant messaging and file-sharing technologies, it enables team members to communicate and collaborate in real time, regardless of their location.

[0060] 2. This online mobile office system uses an automated workflow engine to simplify and accelerate daily tasks, ensuring that each step is executed according to predefined rules, thereby reducing human error. It assesses the impact on business processes based on a prescriptive analysis model and provides data-driven recommendations to optimize processes and improve performance. Attached Figure Description

[0061] Figure 1 This is an overall flowchart of the present invention;

[0062] The meanings of the labels in the diagram are as follows:

[0063] 1. User Management Unit; 2. Communication and Collaboration Unit; 3. Process Management Unit; 4. Data Analysis Unit. Detailed Implementation

[0064] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0065] Example

[0066] Please see Figure 1 As shown, an online mobile office system is provided, including a user management unit 1. The user management unit 1 provides a multi-level account management system based on an authentication module and an access control module to ensure that each user can work efficiently within the authorized scope.

[0067] Specifically, a multi-level account management system is a hierarchical user access control architecture. By defining different levels of user roles and corresponding permissions, it ensures that each user can only access system resources and perform corresponding operations related to their responsibilities, thereby achieving fine-grained access control and improving system security and management efficiency. This system typically includes multiple levels such as super administrators, department administrators, and ordinary users. Each level of users has a different set of permissions to adapt to the diverse management and business needs within the organization.

[0068] In this example, user management unit 1 includes an authentication module and an access control module;

[0069] The authentication module is used to confirm whether a user attempting to log in to the system is a legitimate user.

[0070] The access control module is used to determine the resources that legitimate users can access and the operations they can perform in the system.

[0071] Specifically, the authentication module is a security component that verifies the authenticity of a user attempting to log in to the system by checking the credentials provided by the user (such as username and password, biometric information, or two-factor authentication code), ensuring that only legitimately registered users can obtain access.

[0072] The access control module is a system component used to manage authorization. Based on pre-defined rules and user roles, it precisely defines the scope of resources that each legitimate user can access in the system and the types of operations they can perform, thereby ensuring data security and operational compliance.

[0073] The online mobile office system also includes a communication and collaboration unit 2, which is based on the multi-level account management system of the user management unit 1 and uses instant messaging and file sharing technologies to achieve seamless communication and collaborative work among team members.

[0074] In this example, Communication and Collaboration Unit 2, based on the multi-level account management system of User Management Unit 1, uses instant messaging and file sharing technologies to achieve seamless communication and collaborative work among team members. The specific steps for achieving seamless communication and collaborative work among team members using instant messaging and file sharing technologies are as follows:

[0075] S3.1 Users can search for and add other users as team members within the authorized scope;

[0076] S3.2 Provide instant messaging tools to facilitate team communication;

[0077] Specifically, instant messaging tools are software applications that allow users to exchange text, voice, video, and files in real time. They provide a fast and direct way of communication via the Internet, supporting synchronous communication between individuals or groups and greatly improving the efficiency of remote collaboration and information sharing.

[0078] S3.3. Through file sharing technology, users can upload, download, and collaboratively edit documents, and version control and change tracking are supported;

[0079] Specifically, file-sharing technology is a mechanism that enables multiple users to access, upload, download, and collaboratively edit files over a network. It allows users to securely exchange documents, images, videos, and other materials between different locations and devices, while potentially providing version control, access management, and synchronization features to promote team collaboration and individual productivity.

[0080] In this example, the specific steps for enabling users to upload, download, and collaboratively edit documents using file-sharing technology, and supporting version control and change tracking, are as follows:

[0081] S3.31 When a user uploads a document within the authorized scope, the system automatically creates an initial version and records the metadata;

[0082] Specifically, when a user attempts to upload a document, the system first verifies the user's permissions to ensure they have the right to upload files within the current project or folder. Subsequently, the system performs compliance checks on the uploaded file, including verification of file type and size, and executes a virus scan to ensure security. After the upload is complete, the system creates an initial version number for the document (e.g., v1.0) and stores the file in a specified location, while also recording all metadata related to the upload, such as upload time, user ID, file name, file path, file size, and file type, for subsequent version management and auditing.

[0083] S3.32 Team members can download documents, and all access and download operations are recorded by the system to ensure security and transparency;

[0084] Specifically, when a team member requests to download a document, the system will re-verify the user's access rights to ensure that only authorized personnel can obtain the file. For authorized users, the system generates a secure download link or directly transfers the file to the user's device. Each download operation is recorded in detail by the system, including download time, user ID, and IP address. These records are used for auditing purposes to ensure system transparency and security and prevent unauthorized access.

[0085] S3.33. Through the real-time collaborative editing function, multiple users can edit the same document simultaneously, and the system automatically handles concurrent modifications and provides conflict resolution.

[0086] Specifically, users can initiate collaborative editing requests, inviting other team members with the appropriate permissions to join a real-time editing session. All participants can simultaneously view and edit the document in a browser or mobile application. The system saves each user's changes in real time, ensuring that user changes are not lost even if the network connection is interrupted. Simultaneously, the system marks the edited sections by different users, maintaining transparency in the editing process. If two or more users are editing the same section simultaneously, the system automatically detects conflicts and provides intelligent merging suggestions or prompts users to manually choose which version of changes to keep, ensuring smooth collaborative editing.

[0087] S3.34 The system supports version control, automatically generating a new version after each edit, and retaining change logs for users to view and roll back.

[0088] Specifically, whenever document content changes, the system automatically generates a new version number based on the new content (e.g., upgrading from v1.0 to v1.1), ensuring that each version is independent and complete. The new version includes a change summary, listing the main changes and the user information responsible for the version update, helping users quickly understand the differences between versions. All older versions are fully saved by the system, allowing users to view any historical version at any time and compare the differences between different versions. Furthermore, the system provides a rollback mechanism, allowing users to choose to roll back to any previous version, restoring the document to the selected version's state, ensuring document continuity and availability.

[0089] S3.4 Create a task list, set deadlines, assign tasks to team members, and track progress.

[0090] The online mobile office system also includes a process management unit 3, which uses an automated workflow engine to simplify and accelerate business processes based on the collaborative work of the communication and collaboration unit 2.

[0091] Specifically, an automated workflow engine is a software tool that automatically executes business tasks and operations based on predefined rules and process models, minimizing manual steps to improve efficiency, reduce errors, and accelerate process processing. Configured through a graphical interface or programmatically, a workflow engine can manage task assignment, approval processes, data flow, and more, supporting complex business logic and integrating with various applications and services to achieve end-to-end process automation.

[0092] In this example, process management unit 3, based on the collaborative work of communication and collaboration unit 2, uses an automated workflow engine to simplify and accelerate business processes. The specific steps for using the automated workflow engine to simplify and accelerate business processes are as follows:

[0093] S5.1 Select an automated workflow engine that supports complex business logic;

[0094] S5.2 Set automation rules and conditional judgments to enable workflows to intelligently handle different business scenarios;

[0095] In this example, the specific process of setting up automated rules and conditional judgments is as follows:

[0096] S5.21. Collect and analyze business requirements;

[0097] S5.22. Define business rules through task allocation, approval hierarchy, and data validation;

[0098] Specifically, business rules are defined through task allocation, approval levels, and data validation as follows:

[0099] Task allocation: Based on business needs, determine the types of tasks that need to be automated, such as purchase requests, expense reimbursements, project tasks, etc.; define specific allocation logic for each task type, including who is responsible for creating the task, who is responsible for executing the task, and the task priority.

[0100] Approval levels: Define multi-level approval processes based on the complexity and importance of tasks to ensure that each task has an appropriate approver at different stages; define specific approval conditions for each approval level to ensure that approvers can make decisions based on clear standards.

[0101] Data validation: Identify key data points that need to be validated to ensure that the input data is accurate, complete, and meets business requirements; define specific validation rules for each validation point to ensure the correctness and consistency of the data.

[0102] S5.23. Transform the defined business rules into an executable logical structure using a state machine;

[0103] Specifically, a state machine is a state- and event-based model used to represent the transitions between different states of a system. Each state represents a stage in the workflow, events trigger transitions between states, and actions are the operations performed during state transitions.

[0104] State machine example: Order processing

[0105] -Status: Create -> Review -> Approval -> Ship -> Complete;

[0106] -event:

[0107] - Create an order -> Enter "Review" status;

[0108] -Approved -> Enter "Approved" status;

[0109] -Approved -> Enter "Shipping" status;

[0110] - Shipment completed -> Enter "Completed" status;

[0111] -action:

[0112] -Approved -> Email notification sent to finance department;

[0113] -Approved -> Inventory Updated;

[0114] - Shipment completed -> Send confirmation email to customer.

[0115] S5.24. Set trigger conditions and corresponding actions for each rule.

[0116] S5.3 Verify the correctness and efficiency of the workflow through simulation and actual testing.

[0117] In this example, the specific steps to verify the correctness and efficiency of the workflow through simulation and actual testing are as follows:

[0118] S5.31, Create multiple test scenarios;

[0119] The test scenarios include normal operation, boundary conditions, and exception handling scenarios;

[0120] Normal procedure: A routine expense reimbursement application, with the amount within a reasonable range.

[0121] Boundary condition: The expense reimbursement amount is exactly equal to the upper or lower limit of the approval.

[0122] Error handling: The submitted expense report is missing necessary information or contains incorrect data.

[0123] S5.32. Simulate and run the workflow in a controlled environment, and record the execution time and results;

[0124] S5.33 Analyze simulation data and evaluate performance metrics such as success rate and average execution time;

[0125] S5.34. Conduct small-scale real-world testing in a production environment;

[0126] S5.35. Based on the test results, evaluate the correctness and efficiency of the workflow.

[0127] Specifically, by simulating and conducting real-world tests to verify the correctness and efficiency of workflows, it is possible to ensure that the automated processes of the online mobile office system can operate stably and efficiently under various circumstances, thereby improving work efficiency, reducing human error, and providing users with a smooth user experience. In other words, this process helps system developers and administrators identify and fix potential problems, optimize process design, and ensure that the system meets business needs and performs excellently in practical applications.

[0128] The online mobile office system also includes a data analysis unit 4, which is based on a normative analysis model and comprehensively evaluates the potential impact of different business processes to guide users in optimizing business processes and improving performance.

[0129] In this example, Data Analysis Unit 4, based on a prescriptive analysis model, comprehensively assesses the potential impact of different business processes to guide users in optimizing business processes and improving performance. The specific steps for using this prescriptive analysis model to comprehensively assess the potential impact of different business processes and guide users in optimizing business processes and improving performance are as follows:

[0130] S8.1 Collect business process data from User Management Unit 1, Communication and Collaboration Unit 2, and Process Management Unit 3;

[0131] S8.2 Clean and preprocess the collected business process data to remove invalid or redundant information;

[0132] S8.3. Construct a normative analysis model using the gradient decision tree algorithm;

[0133] In this example, the specific construction process of building a prescriptive analysis model using the gradient decision tree algorithm is as follows:

[0134] S8.31. Divide business process data into training set and test set;

[0135] S8.32. Initialize the normative analysis model;

[0136] The initial prediction is as follows:

[0137]

[0138] Where F0(x) represents the initial prediction; L(y) i (i, γ) represents the loss function; γ represents the constant predicted value; i represents the index variable; n represents the number of samples; x represents the input feature vector;

[0139] S8.33, Perform iterative training of the normative analysis model;

[0140] Specifically, the iterative training process of the prescriptive analysis model using Python and the scikit-learn library is as follows:

[0141]

[0142]

[0143]

[0144] S8.34. Use cross-validation techniques to evaluate the generalization ability of the model.

[0145] Specifically, the process of evaluating the model's generalization ability using cross-validation techniques with Python and the scikit-|earn library is as follows:

[0146]

[0147]

[0148]

[0149] S8.4 Use the established normative analysis model to comprehensively evaluate different business processes and identify potential influencing factors.

[0150] In this example, the specific process of using the constructed prescriptive analysis model to comprehensively evaluate different business processes and identify potential influencing factors is as follows:

[0151] The final prediction result is the weighted sum of all trees;

[0152]

[0153] Among them, F M (x) represents the final prescriptive analysis model's prediction of the input x; M represents the number of decision trees; η represents the learning rate; h m (x) represents the prediction of the m-th decision tree; m represents the nth decision tree;

[0154] Each decision tree divides the data into different subsets through recursive partitioning, and each leaf node ultimately corresponds to a prediction result.

[0155]

[0156] Where T(x) represents the decision tree's prediction of the input x; f(x) represents the feature function used for segmentation; t represents the threshold; T L (x) represents the prediction of the left child number; T R (x) represents the prediction of the right child number.

[0157] Specifically, by progressively adding new decision trees and correcting errors in existing models, the model effectively captures complex patterns in the data and provides a comprehensive assessment of different business processes. The final prediction is a weighted sum of all decision trees, ensuring that the model's predictive power continuously improves with each iteration. Each decision tree recursively partitions the data into different subsets, with each leaf node corresponding to a prediction result, thus achieving accurate classification or regression prediction of the input data. This structure enables the model not only to identify key factors affecting business processes but also to quantify the impact of these factors on business performance, helping users optimize business processes and improve overall performance.

[0158] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely preferred examples and are not intended to limit the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention.

Claims

1. An online mobile office system, characterized by: Comprise A user management unit (1) based on an identity verification module and a permission control module, providing a multi-level account management system to ensure that each user can work efficiently within the authorized scope; A communication and collaboration unit (2) based on the multi-level account management system of the user management unit (1), using instant messaging and file sharing technology to achieve seamless communication and collaborative work among team members; A process management unit (3) based on the collaborative work of the communication and collaboration unit (2), using an automated workflow engine to simplify and accelerate business processes; A data analysis unit (4) based on a normative analysis model, which evaluates the potential impact of different business processes to guide users to optimize business processes and improve performance.

2. The online mobile office system of claim 1, wherein: The user management unit (1) includes an identity verification module and a permission control module; The identity verification module is used to confirm whether the user attempting to log in to the system is a legitimate user; The permission control module is used to determine the resources and operations that legitimate users can access in the system.

3. The online mobile office system of claim 1, wherein: The communication and collaboration unit (2) based on the multi-level account management system of the user management unit (1) uses instant messaging and file sharing technology to achieve seamless communication and collaborative work among team members, and the specific steps for using instant messaging and file sharing technology to achieve seamless communication and collaborative work among team members are as follows: S3.1, the user searches and adds other users as team members within the authorized scope; S3.2, provide instant messaging tools to facilitate team communication; S3.3, through file sharing technology, users can upload, download and collaboratively edit documents, and support version control and change tracking; S3.4, create a task list, set a deadline, assign tasks to team members, and track progress.

4. The online mobile office system of claim 3, wherein: In S3.3, through file sharing technology, users can upload, download and collaboratively edit documents, and support version control and change tracking, and the specific steps are as follows: S3.31, the user uploads the document within the authorized scope, and the system automatically creates an initial version and records the metadata; S3.32, team members can download the document, and all access and download operations are recorded by the system to ensure security and transparency; S3.33, through real-time collaborative editing, multiple users can edit the same document simultaneously, and the system automatically handles concurrent modifications and provides conflict resolution; S3.34, the system supports version control, automatically generates a new version after each edit, and keeps a change log for users to view and roll back.

5. The online mobile office system of claim 1, wherein: The process management unit (3) based on the collaborative work of the communication and collaboration unit (2) uses an automated workflow engine to simplify and accelerate business processes, and the specific steps for using an automated workflow engine to simplify and accelerate business processes are as follows: S5.1, select an automated workflow engine to support complex business logic; S5.2, set up automated rules and condition judgments to enable the workflow to intelligently handle different business scenarios; S5.3, verify the correctness and efficiency of the workflow through simulation and actual testing.

6. The online mobile office system of claim 5, wherein: The specific process of setting automation rules and condition judgments in S5.2 is as follows: S5.21, collect and analyze business requirements; S5.22, define business rules through task allocation, approval hierarchy, and data verification; S5.23, convert the defined business rules into executable logic structures through state machines; S5.24, set trigger conditions and corresponding actions for each rule.

7. The online mobile office system of claim 6, wherein: The specific steps for verifying the correctness and efficiency of the workflow through simulation and actual testing in S5.3 are as follows: S5.31, create multiple test scenarios; The test scenarios include normal operation, boundary condition, and exception handling scenarios; S5.32, simulate running the workflow in a controlled environment, record execution time and results; S5.33, analyze simulation data, evaluate success rate and average execution time performance indicators; S5.34, conduct small-scale actual testing in a production environment; S5.35, evaluate the correctness and efficiency of the workflow based on the test results.

8. The online mobile office system of claim 1, wherein: The specific steps for the data analysis unit (4) to guide users to optimize business processes and improve performance based on the normative analysis model by comprehensively evaluating the potential impact of different business processes are as follows: S8.1, collect business process data from the user management unit (1), communication and collaboration unit (2), and process management unit (3); S8.2, clean and preprocess the collected business process data to remove invalid or redundant information; S8.3, use gradient decision tree algorithm to build normative analysis model; S8.4, use the built normative analysis model to comprehensively evaluate different business processes and identify potential influencing factors.

9. The online mobile office system of claim 8, wherein: The specific construction process of using gradient decision tree algorithm to build normative analysis model in S8.3 is as follows: S8.31, divide business process data into training set and test set; S8.32, initialize normative analysis model; The initial prediction is: where F0(x) represents the initial prediction; L(y i , γ) represents the loss function; γ represents the constant prediction value; i represents the index variable; n represents the sample number; x represents the input feature vector; S8.33, iterative training of normative analysis model; S8.34, use cross-validation technique to evaluate the generalization ability of the model.

10. The online mobile office system of claim 8, wherein: The specific process of using the built normative analysis model to comprehensively evaluate different business processes and identify potential influencing factors in S8.4 is as follows: The final prediction result is the weighted sum of all trees; where F M (x) represents the prediction of the final normative analysis model for input x; M represents the number of decision trees; η represents the learning rate; h m (x) represents the prediction of the mth decision tree; m represents the mth decision tree; Each decision tree divides the data into different subsets through recursive division, and finally each leaf node corresponds to a prediction result; where T(x) represents the prediction of the decision tree for input x; f(x) represents a feature function used for splitting; t represents a threshold; T L (x) represents the prediction of the left child; T R (x) represents the prediction of the right child.

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