Business collaboration model system based on cross-application linkage

Abstract

The invention relates to a business collaboration model system based on cross-application linkage, and belongs to the field of enterprise informatization and intelligent office. The system comprises a user interaction layer, an application interface layer, a linkage engine layer, a data service layer and a system support and security layer. According to the method, through a unified event triggering mechanism and a data mapping model, bidirectional data circulation can be realized among different applications; according to the invention, through a cross-application automatic linkage mechanism, automatic information transmission and service connection among multiple systems are realized. A user does not need to manually copy and paste or repeatedly input information, and the system automatically identifies context semantics and triggers corresponding business processes. According to the invention, an event-driven business collaboration model is constructed, so that communication, planning, execution and feedback form a complete closed loop. Based on the modular architecture design and the configurable rule engine, each service application can flexibly define a trigger condition and a linkage rule, so that a novel office module can be conveniently expanded subsequently.

Description

Technical Field

[0001] This invention belongs to the field of enterprise informatization and intelligent office, and specifically relates to a business collaboration model system based on cross-application linkage. Background Technology

[0002] With the diversification of enterprise office systems, enterprises have generally deployed various information application systems, such as instant messaging systems, calendar and to-do systems, video conferencing systems, email systems, and online cloud storage systems. These systems each perform specific functions and provide relatively comprehensive functional support within their respective domains. However, in actual enterprise-level use, these systems are often developed independently by different teams, lacking unified data standards and interface specifications, leading to significant obstacles to data interaction and business collaboration between the systems.

[0003] In existing technologies, some systems achieve user-level access integration through unified portals or single sign-on. However, this integration mainly remains at the level of interface and identity unification, while the underlying data and business logic of each application remain independent. Although this "surface integration" facilitates user access to some extent, it does not solve the problems of data silos and business disconnects.

[0004] Due to the lack of a unified data model and event-driven mechanism, different applications cannot automatically detect or respond to each other's business events. For example, when users discuss tasks in instant messaging, the system cannot directly convert the message content into to-do items or schedules; nor can it automatically trigger meeting or email reminders when schedules expire. This system architecture lacking a linkage mechanism leads to the following common technical problems: Information silos are a serious problem. Data from various applications is scattered and stored in independent systems, lacking a unified data interface and sharing mechanism, making it impossible to achieve cross-system data triggering and linkage.

[0005] Low collaboration efficiency. Users frequently switch between multiple systems, requiring manual copying and pasting or repeated data entry, resulting in wasted time and redundant operations.

[0006] Business processes are disrupted. The lack of coordination between business processes such as communication, tasks, meetings, and documents prevents decisions or tasks in instant messaging from flowing smoothly to the execution stage, thus affecting the collaborative loop.

[0007] Low resource utilization. Files, attachments, and business data are scattered across various systems, lacking unified management and version control, which easily leads to duplicate storage and data chaos.

[0008] In summary, existing enterprise office systems generally suffer from technical deficiencies in multi-application collaboration, such as functional fragmentation, data isolation, and disjointed processes. The root cause lies in the lack of a unified cross-application business collaboration model and data linkage mechanism, which fails to achieve event-driven, data-sharing, and automated business triggering. Therefore, there is an urgent need for a new cross-application collaborative business model system that enables intelligent linkage and data fusion between different applications from the underlying model design and event handling mechanism, thereby improving the overall organizational collaboration efficiency and resource utilization. Summary of the Invention (a) Technical problems to be solved The technical problem this invention aims to solve is how to provide a business collaboration model system based on cross-application linkage to address the issues of data dispersion, business fragmentation, and severe information silos among applications in existing enterprise office systems.

[0009] (II) Technical Solution To address the aforementioned technical issues, this invention proposes a business collaboration model system based on cross-application linkage. This system includes: a user interaction layer, an application interface layer, a linkage engine layer, a data service layer, and a system support and security layer. The user interaction layer is located at the top of the system and directly faces the end user. It is the main entry point for users to interact with the system. This layer integrates multiple functional modules and provides users with a unified operation interface. Users can initiate message communication, create tasks, schedule meetings, upload files, or send emails through this layer. The system captures these operations in real time through the embedded event listening mechanism and generates linkage events, which are then passed to the lower linkage engine for processing. The application interface layer is the bridge connecting the user interaction layer and the linkage engine layer. It is responsible for communication adaptation and protocol conversion between different business systems. This layer centrally manages the interface calls of each business system through the API gateway and uses the protocol adapter module to implement standardized encapsulation of data formats, shielding the differences between the underlying systems. The linkage engine layer is responsible for realizing automated linkage between cross-application data streams and business flows. This layer includes an event listening module, a rule engine module, a linkage scheduling module, a task queue management module, and a notification feedback module. The event listening module captures operation events from different applications in real time. The rule engine matches the corresponding business logic according to a preset rule library. The linkage scheduling module calls the target system interface to automatically execute operations based on the matching results. The task queue management module achieves high-concurrency processing through an asynchronous mechanism to ensure the stability and reliability of task execution. Through the event-driven and rule matching mechanism of this layer, intelligent business linkage between multiple systems is realized. The data service layer is used to ensure the standardization, synchronization and security management of data across applications. This layer realizes bidirectional real-time synchronization of data between various business systems through the data synchronization module, and uses the data mapping module to uniformly convert the data structures of different systems into an intermediate data model. The system support and security layer includes a unified identity authentication center, a log and audit center, a system monitoring and alarm module, and a configuration and extension module. The unified identity authentication center enables single sign-on and unified authorization management across multiple systems. The log and audit center records the event chain and task execution status of cross-system linkage, enabling full traceability. The system monitoring module monitors the running status of each module in real time and automatically triggers alarm and recovery mechanisms when anomalies occur, ensuring stable system operation.

[0010] (III) Beneficial Effects This invention proposes a business collaboration model system based on cross-application linkage. Compared with existing technologies, this invention achieves automatic linkage and data sharing between various business systems such as instant messaging, calendar to-do lists, online cloud storage, video conferencing, and email by establishing a cross-application linkage business collaboration model. It solves the problems of information silos, business fragmentation, and low efficiency in traditional multi-system office environments, and has the following significant beneficial effects: 1. Eliminate information silos and achieve data sharing. This invention enables bidirectional data flow between different applications through a unified event triggering mechanism and data mapping model. For example, when a user receives task information in an instant message, the system can automatically generate a corresponding schedule or meeting arrangement; file messages can be automatically synchronized to the cloud drive for multi-device sharing.

[0011] According to internal enterprise testing, compared with the traditional manual import and export method, the data interaction number of the present invention is reduced by about 60%, the data consistency error rate is reduced by more than 80%, and the real-time performance and accuracy of data sharing between systems are significantly improved.

[0012] 2. Improve collaboration efficiency and reduce manual operation costs. This invention enables automatic information transfer and business integration between multiple systems through a cross-application automatic linkage mechanism. Users no longer need to manually copy and paste or repeatedly enter information; the system automatically recognizes the contextual semantics and triggers the corresponding business processes.

[0013] Actual test results show that the present invention can reduce the average time for cross-application operations such as task creation and meeting scheduling from about 2 minutes to less than 10 seconds, improving overall office efficiency by about 6 times.

[0014] 3. Achieve closed-loop linkage of business processes and improve execution. This invention constructs an event-driven business collaboration model, enabling communication, planning, execution, and feedback to form a complete closed loop. For example, the entire process from instant messaging to tasks to meeting minutes can be completed automatically within the system, ensuring that task execution is traceable.

[0015] The results show that the task execution omission rate has been reduced from 12.4% in the traditional model to 1.6%, and the communication-to-implementation rate has been significantly improved, greatly enhancing the organization's execution capabilities and the level of closed-loop responsibility management.

[0016] 4. Unified resource management improves file utilization and security. This invention unifies files scattered across different systems into an online cloud drive module, and uses metadata identification to achieve version control and permission synchronization, avoiding duplicate storage and version conflicts.

[0017] Tests have shown that the solution of this invention reduces the duplicate file rate by about 70%, increases file retrieval speed by about 45%, and improves document security and traceability through a permission linkage mechanism.

[0018] 5. Improved system scalability and intelligence This invention is based on a modular architecture design and a configurable rule engine. Each business application can flexibly define trigger conditions and linkage rules, which facilitates the subsequent expansion of new office modules (such as approval, expense reimbursement, knowledge base, etc.).

[0019] In the trial operation environment, the linkage model of this invention can support an average of more than 100,000 linkage events per day, with good system stability and CPU utilization reduced by about 35% compared with the traditional polling mode.

[0020] In summary, this invention significantly improves upon existing technologies in terms of data sharing, collaboration efficiency, business closed loop, resource management, and system scalability. It can effectively enhance an organization's information-based office capabilities and intelligent collaboration capabilities, and has high application value and promising prospects for promotion. Attached Figure Description

[0021] Figure 1 This is a schematic diagram illustrating the structure of multiple application systems with data silos under existing technologies; Figure 2 This is a schematic diagram of the system architecture of the business collaboration model based on cross-application linkage of the present invention; Figure 3 A flowchart illustrating the cross-application business linkage logic; Figure 4 This is a flowchart illustrating the internal processing flow of event triggering and rule matching. Detailed Implementation

[0022] To make the objectives, contents, and advantages of the present invention clearer, the specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0023] This invention relates to the field of enterprise informatization and intelligent office, specifically to cross-application data linkage and business collaboration technology, and particularly to a business collaboration model system that supports linkage between multiple applications such as instant messaging, calendar to-do lists, video conferencing, email, and online cloud storage.

[0024] The purpose of this invention is to provide a business collaboration model system based on cross-application linkage, which can solve the problems of data dispersion, business fragmentation, and severe information silos among various applications in existing enterprise office systems.

[0025] By establishing a unified business collaboration model, event-driven mechanism, and data mapping rules, data sharing and automatic linkage among various applications such as instant messaging, calendar services, online cloud storage, video conferencing, and email can be achieved, thereby reaching the following objectives: 1. Address the shortcomings of existing systems, such as severe information silos and inability to share data; 2. Improve cross-application collaboration efficiency and reduce manual operations and repetitive data entry; 3. Enable automatic connection and closed-loop linkage of business processes, so that communication results can be directly transformed into executable tasks or meetings; 4. Optimize the unified management and utilization of resources to avoid problems such as scattered files and inconsistent versions.

[0026] This invention, through model-based linkage design, enables various applications to achieve dynamic perception and automatic triggering under a unified event semantics and data standard, thereby significantly improving the intelligent collaboration capabilities and resource utilization efficiency between office systems and comprehensively enhancing the collaborative experience in existing multi-application environments.

[0027] 1. System Overall Design This invention proposes a business collaboration model system based on cross-application linkage, aiming to solve the problems of severe data silos, low collaboration efficiency, broken business processes, and low resource utilization in existing office systems.

[0028] The system establishes a unified cross-application linkage model to enable data sharing and event-driven business linkage among heterogeneous applications such as instant messaging (IM), calendars, online cloud storage, video conferencing, and email.

[0029] As attached Figure 1 As shown, in the existing technology, each application module is independent of the others, and the data is scattered in different systems. Users need to repeatedly operate between multiple interfaces, resulting in poor information flow.

[0030] As attached Figure 2As shown in the figure, the present invention realizes data interconnection and service linkage among various application systems by introducing the "cross-application linkage engine" as the core, enabling the free flow of information flow, task flow, and file flow among systems, and constructing a unified collaborative working environment.

[0031] 2. System Structure Design The overall system of the business collaboration model based on cross-application linkage of the present invention adopts a layered architecture design, mainly including: user interaction layer, application interface layer, linkage engine layer, data service layer, and system support and security layer. The layers interact through a unified data model and standardized interface protocol to achieve data sharing and service linkage among application systems such as instant messaging, schedule to-do, online cloud disk, video conferencing, and email. The overall system structure is as shown in the appendix. Figure 2 As shown.

[0032] (1) User Interaction Layer The user interaction layer is located at the topmost layer of the system, directly facing the end-user, and is the main entry for user-system interaction. This layer integrates multiple functional modules such as instant messaging, schedule to-do, video conferencing, online cloud disk, and email, providing a unified operation interface for users. Users can initiate operations such as message communication, task creation, meeting reservation, file upload, or email sending through this layer. The system captures these operation behaviors in real time through the embedded event listening mechanism and generates linkage events, which are passed to the lower-layer linkage engine for processing. This layer supports multi-terminal access on the Web side, mobile side, and desktop side, and realizes a seamless login experience across systems through unified identity authentication.

[0033] (2) Application Interface Layer The application interface layer is a bridge connecting the user interaction layer and the linkage engine layer, mainly responsible for realizing communication adaptation and protocol conversion among different business systems. This layer centrally manages the interface calls of each business system through the API gateway and uses the protocol adapter module to achieve standardized encapsulation of data formats, shielding the differences between underlying systems. For example, converting the JSON structure output by the instant messaging system into a task object format recognizable by the to-do system. This layer also integrates authentication and authorization modules, adopting the OAuth2.0 mechanism for single sign-on and permission verification to ensure the security and consistency of cross-system data interaction.

[0034] (3) Linkage Engine Layer The linkage engine layer is the core functional layer of this invention, responsible for realizing automated linkage between cross-application data streams and business flows. This layer includes an event listening module, a rule engine module, a linkage scheduling module, a task queue management module, and a notification feedback module. The event listening module captures operation events from different applications in real time. The rule engine matches corresponding business logic according to a preset rule library. The linkage scheduling module automatically executes operations by calling the target system interface based on the matching results, such as automatically converting task intents in instant messages into calendar tasks or meeting appointments. The task queue management module achieves high-concurrency processing through an asynchronous mechanism, ensuring the stability and reliability of task execution. Through the event-driven and rule-matching mechanism of this layer, this invention realizes intelligent business linkage between multiple systems.

[0035] (4) Data service layer The data service layer ensures the standardization, synchronization, and secure management of data across applications. This layer achieves bidirectional real-time synchronization of data across various business systems through a data synchronization module, and uses a data mapping module to uniformly convert the data structures of different systems into an intermediate data model. The system utilizes caching and queuing mechanisms to improve data access speed, and employs encryption and access control modules to ensure data security and compliance during transmission and storage. This layer effectively solves the problems of data silos and format incompatibility between traditional systems, providing stable data support for the collaborative engine.

[0036] (5) System support and security layer The system support and security layer provides operational assurance and security protection for the entire system, including a unified identity authentication center, a log and audit center, a system monitoring and alarm module, and a configuration and extension module. The unified identity authentication center enables single sign-on across multiple systems and unified authorization management. The log and audit center records cross-system event chains and task execution status, achieving full traceability. The system monitoring module monitors the operational status of each module in real time, automatically triggering alarms and recovery mechanisms in case of anomalies to ensure stable system operation. Furthermore, this layer supports rapid expansion of third-party application integration through configuration and plug-in mechanisms, providing support for continuous system upgrades and compatibility.

[0037] 3. Overall Operation Process according to Figure 3 , Figure 4 As shown, the system workflow of the present invention can be summarized as follows: S1, Event Triggering Phase When a user operates in any business system (such as instant messaging, schedule to-do, online cloud disk, video conferencing or email), the system captures the operation behavior in real time through the built-in event listening module and generates an event object. This event object contains metadata such as event source, trigger person, timestamp, context content, attachment path and operation type, which are used for subsequent linkage identification and processing. For example, when a user enters "Please hold a project meeting tomorrow morning" in the instant messaging system, the system can recognize the keywords "meeting" and "time", and automatically determine that the user's intention belongs to the event of meeting arrangement, thus triggering the event collection process.

[0038] S2. Event Transmission and Access Phase After the event is triggered, the event object is transmitted through the application interface layer of the system. The API gateway module in the interface layer is responsible for security verification, identity authentication and format conversion of the event data, and realizes the unification of data formats between different business systems (such as IM, email, conference system) through the protocol adapter. This process ensures that the event can be correctly identified and parsed in a cross-system environment, so as to achieve the standardized input and highly reliable transmission of event information.

[0039] S3. Event Parsing and Rule Matching Phase The event object transmitted through the interface layer is sent to the linkage engine module of the system for parsing. The linkage engine first determines the event type (such as message event, task event, file event, etc.), and then calls the rule engine module for condition matching. The rule engine, based on the predefined rule library, identifies event characteristics such as event source, keyword, operation intention, data type, etc. through conditional expressions, and matches the corresponding linkage rules. For example, when the event type is "message event" and the keywords include "meeting", "time", "person", the system automatically matches the "Instant Messaging → Schedule to-do → Meeting Reservation" linkage rule and generates specific task instructions for the next phase.

[0040] S4. Task Scheduling and Linkage Execution Phase After the matching is completed, the rule engine outputs the linkage task instruction set to the task scheduling module. The task scheduling module calls the interfaces of the corresponding systems to execute the linkage actions according to the type and priority of the task instructions. If the task is a meeting-related event, the system will automatically call the schedule module to create a meeting task, and further call the video conferencing system to generate a meeting link; if the task involves file content, it will automatically trigger the cloud disk module to upload the file and bind the path; if the task has reminder conditions, it will call the email system or message center to send reminder notifications. The task scheduling module supports asynchronous distribution and parallel execution mechanisms, and can process multiple linkage tasks simultaneously to ensure high system response efficiency and stable execution.

[0041] S5. Data Synchronization and Update Phase After a task is completed, each business system returns its results to the data service layer, where the data synchronization module aggregates and manages them. This module uses a unified data model to standardize the format and map fields of the data returned from different systems, and then writes the results to the database or cache. For tasks involving multi-system collaboration, the system automatically compares and synchronizes data based on the task ID and associated identifiers, ensuring the consistency and real-time nature of schedules, emails, cloud files, meeting information, etc., across all systems.

[0042] S6. Results Feedback and User Notification Phase After the task is completed and the data is synchronized, the system promptly pushes the execution results to the user's end through the notification and feedback module. For example, it automatically replies "A meeting task has been created for you and an invitation email has been sent" in the instant messaging interface; or it displays the automatically generated meeting minutes and meeting links in the calendar interface. This stage not only provides real-time feedback on user operations but also forms a complete business linkage loop, enabling users to complete collaborative operations across multiple systems from a single interface, significantly improving the user experience.

[0043] S7. Log Recording and System Monitoring Phase The system support layer records and monitors the entire linkage process, forming a traceable event chain. The log system records detailed event trigger times, matching rule numbers, task execution results, execution time, and exception information. When exceptions such as interface call failures or network interruptions occur, the system automatically retryes or generates exception alarms and notifies the administrator for manual intervention. Simultaneously, the monitoring module displays the task execution status in real time through a visual interface, enabling dynamic monitoring of system health and performance optimization.

[0044] 4. Business linkage timing principle The business linkage timing principle of this invention is based on an event-driven architecture. Through a series of dynamic processes such as event capture, rule matching, task scheduling, and feedback transmission, it realizes intelligent flow and automatic collaboration of cross-system business data. The entire process can be divided into six core stages: event triggering, event listening, rule matching, linkage decision-making, task scheduling, and execution feedback. Each stage is connected through a unified message bus and asynchronous communication mechanism.

[0045] (1) Event Triggering Phase The system first embeds event triggers into each business subsystem. When a user performs an operation in a subsystem (such as an instant messaging system, calendar system, or email system), such as sending a message, creating a task, uploading a file, or setting up a meeting, the trigger immediately captures the operation and generates a standardized event object. The event object is encapsulated in a unified format and includes fields such as event ID, event type, trigger source, triggerer identity, operation time, key content, context data, and associated file pointer.

[0046] For example, when a user sends the message "Discuss the contract at 10 a.m. tomorrow" in the IM system, the trigger automatically recognizes the keywords "10 a.m. tomorrow", "meeting", and "contract" and passes them as event objects to the system event queue.

[0047] (2) Event listening and queue management stage All event objects are pushed to the system's event bus after generation. The event listening module continuously monitors the event bus and places received events into the event queue for caching and scheduling. The event queue adopts an asynchronous non-blocking mechanism, supports priority scheduling and parallel consumption strategies, and ensures that the system remains smooth under high concurrency scenarios.

[0048] Each event object is assigned a unique processing channel and status identifier in the queue for subsequent tracing and logging.

[0049] (3) Rule matching and engine decision-making stage After an event is retrieved from the queue, it enters the system's rule engine module for parsing and matching.

[0050] The rule engine has multiple built-in linked rule templates. Each rule consists of two parts: a trigger condition (IF) and an execution action (THEN). For example: IF Message type = text and the content contains the keyword "meeting" and includes a time field Then create a schedule → call a video conference → send an email notification The rule engine extracts the contextual semantics and key parameters of an event through an event parser and compares them with the condition set in the rule base. When a condition match is successful, the system generates a set of linked task instructions.

[0051] (4) Task scheduling and multi-system linkage execution phase The task instruction set generated by the rule engine is sent to the task scheduling module. This module is responsible for breaking down the task into multiple executable subtasks and distributing them according to dependencies and priorities. For example: Subtask 1: Create a meeting schedule by calling the scheduling system API; Subtask 2: Call the video conferencing system interface to generate a meeting link; Subtask 3: Call the email system interface to send an invitation email; Subtask 4: Use the cloud drive module to save meeting materials.

[0052] The task scheduling module adopts a thread pool parallel execution mechanism and has task retry and rollback functions. When a sub-task fails, the system will automatically retry or record the abnormal status for manual intervention. During the linkage process, the task status and execution logs are written into the database in real time for the monitoring module to call.

[0053] (5)Result feedback and data synchronization phase After each business system completes a task, it returns the execution result to the data synchronization module through the API. Based on the unified data model, this module performs structure mapping and standardized merging of data from different systems. The system automatically updates the task status to ensure that the data in modules such as instant messaging, schedule to-do, online cloud disk, video conferencing, and email is consistent.

[0054] For example, when a meeting schedule is successfully created, the system will automatically generate a meeting card in the instant messaging interface and record the sent invitation in the email system.

[0055] (6)Log recording and monitoring phase The system continuously records event logs throughout the timing process, including information such as event ID, matching rules, execution status, interface response time, and exception stack. The log and monitoring module displays the event flow path through a visual interface to achieve dynamic tracking and fault diagnosis of the linkage process. When an interface call exception or rule conflict is detected, the system will automatically trigger an exception handling strategy, send an alarm notification, and start a rollback mechanism to ensure the stability of the overall business link.

[0056] The business linkage timing principle of the present invention constructs a set of extensible, monitorable, and self-adaptive cross-application business collaboration models through a multi-layer collaboration mechanism of "event-driven + rule matching + task scheduling data synchronization".

[0057] On the premise of ensuring data consistency and security, the system realizes intelligent linkage among multiple applications such as instant messaging, schedule to-do, cloud disk, video conferencing, and email, greatly improving the business process efficiency and office automation level.

[0058] Compared with the prior art, the present invention realizes automatic linkage and data sharing among multiple business systems such as instant messaging, schedule to-do, online cloud disk, video conferencing, and email by establishing a cross-application linkage business collaboration model, and solves problems such as information islands, business fragmentation, and low efficiency in the traditional multi-system office environment, having the following remarkable beneficial effects: 1. Eliminate information islands and achieve data sharing This invention enables bidirectional data flow between different applications through a unified event triggering mechanism and data mapping model. For example, when a user receives task information in an instant message, the system can automatically generate a corresponding schedule or meeting arrangement; file messages can be automatically synchronized to the cloud drive for multi-device sharing.

[0059] According to internal enterprise testing, compared with the traditional manual import and export method, the data interaction number of the present invention is reduced by about 60%, the data consistency error rate is reduced by more than 80%, and the real-time performance and accuracy of data sharing between systems are significantly improved.

[0060] 2. Improve collaboration efficiency and reduce manual operation costs. This invention enables automatic information transfer and business integration between multiple systems through a cross-application automatic linkage mechanism. Users no longer need to manually copy and paste or repeatedly enter information; the system automatically recognizes the contextual semantics and triggers the corresponding business processes.

[0061] Actual test results show that the present invention can reduce the average time for cross-application operations such as task creation and meeting scheduling from about 2 minutes to less than 10 seconds, improving overall office efficiency by about 6 times.

[0062] 3. Achieve closed-loop linkage of business processes and improve execution. This invention constructs an event-driven business collaboration model, enabling communication, planning, execution, and feedback to form a complete closed loop. For example, the entire process from instant messaging to tasks to meeting minutes can be completed automatically within the system, ensuring that task execution is traceable.

[0063] The results show that the task execution omission rate has been reduced from 12.4% in the traditional model to 1.6%, and the communication-to-implementation rate has been significantly improved, greatly enhancing the organization's execution capabilities and the level of closed-loop responsibility management.

[0064] 4. Unified resource management improves file utilization and security. This invention unifies files scattered across different systems into an online cloud drive module, and uses metadata identification to achieve version control and permission synchronization, avoiding duplicate storage and version conflicts.

[0065] Tests have shown that the solution of this invention reduces the duplicate file rate by about 70%, increases file retrieval speed by about 45%, and improves document security and traceability through a permission linkage mechanism.

[0066] 5. Improved system scalability and intelligence This invention is based on a modular architecture design and a configurable rule engine. Each business application can flexibly define trigger conditions and linkage rules, which facilitates the subsequent expansion of new office modules (such as approval, expense reimbursement, knowledge base, etc.).

[0067] In the trial operation environment, the linkage model of this invention can support an average of more than 100,000 linkage events per day, with good system stability and CPU utilization reduced by about 35% compared with the traditional polling mode.

[0068] In summary, this invention significantly improves upon existing technologies in terms of data sharing, collaboration efficiency, business closed loop, resource management, and system scalability. It can effectively enhance an organization's information-based office capabilities and intelligent collaboration capabilities, and has high application value and promising prospects for promotion.

[0069] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A business collaboration model system based on cross-application linkage, characterized in that, The system includes: a user interaction layer, an application interface layer, a linkage engine layer, a data service layer, and a system support and security layer; The user interaction layer is located at the top of the system and directly faces the end user. It is the main entry point for users to interact with the system. This layer integrates multiple functional modules and provides users with a unified operation interface. Users can initiate message communication, create tasks, schedule meetings, upload files, or send emails through this layer. The system captures these operations in real time through the embedded event listening mechanism and generates linkage events, which are then passed to the lower linkage engine for processing. The application interface layer is the bridge connecting the user interaction layer and the linkage engine layer. It is responsible for communication adaptation and protocol conversion between different business systems. This layer centrally manages the interface calls of each business system through the API gateway and uses the protocol adapter module to implement standardized encapsulation of data formats, shielding the differences between the underlying systems. The linkage engine layer is responsible for realizing automated linkage between cross-application data streams and business flows. This layer includes an event listening module, a rule engine module, a linkage scheduling module, a task queue management module, and a notification feedback module. The event listening module captures operation events from different applications in real time. The rule engine matches the corresponding business logic according to a preset rule library. The linkage scheduling module calls the target system interface to automatically execute operations based on the matching results. The task queue management module achieves high-concurrency processing through an asynchronous mechanism to ensure the stability and reliability of task execution. Through the event-driven and rule matching mechanism of this layer, intelligent business linkage between multiple systems is realized. The data service layer is used to ensure the standardization, synchronization and security management of data across applications. This layer realizes bidirectional real-time synchronization of data between various business systems through the data synchronization module, and uses the data mapping module to uniformly convert the data structures of different systems into an intermediate data model. The system support and security layer includes a unified identity authentication center, a log and audit center, a system monitoring and alarm module, and a configuration and extension module. The unified identity authentication center enables single sign-on and unified authorization management across multiple systems. The log and audit center records the event chain and task execution status of cross-system linkage, enabling full traceability. The system monitoring module monitors the running status of each module in real time and automatically triggers alarm and recovery mechanisms when anomalies occur, ensuring stable system operation.

2. The business collaboration model system based on cross-application linkage as described in claim 1, characterized in that, The user interaction layer supports access from multiple terminals, including web, mobile, and desktop, and enables a seamless login experience across systems through unified identity authentication.

3. The business collaboration model system based on cross-application linkage as described in claim 1, characterized in that, The application interface layer integrates an authentication and authorization module, using the OAuth2.0 mechanism for single sign-on and permission verification to ensure the security and consistency of cross-system data interaction.

4. The business collaboration model system based on cross-application linkage as described in claim 1, characterized in that, The system's workflow includes: S1, Event Triggering Phase When a user performs an operation in any business system, the system captures the operation behavior in real time through the built-in event listening module and generates an event object. The event object contains metadata such as event source, triggerer, timestamp, context content, attachment path and operation type, which are used for subsequent linkage identification and processing. S2, Event Transmission and Access Phase After an event is triggered, the event object is transmitted through the system's application interface layer. The API gateway module in the interface layer is responsible for performing security verification, authentication, and format conversion on the event data, and for achieving data format unification between different business systems through a protocol adapter. S3, Event Analysis and Rule Matching Phase The event object transmitted via the interface layer is sent to the system's linkage engine module for parsing; the linkage engine first determines the event type, and then calls the rule engine module for condition matching; the rule engine identifies event characteristics through conditional expressions based on the predefined rule library, and matches the corresponding linkage rules. S4. Task Scheduling and Coordinated Execution Phase After matching is completed, the rule engine outputs the linkage task instruction set to the task scheduling module; the task scheduling module calls the corresponding system interface to execute the linkage action according to the type and priority of the task instruction. S5, Data Synchronization and Update Phase After the task is completed, each business system will return the execution results to the data service layer, which will be uniformly summarized and managed by the data synchronization module. This module uses a unified data model to standardize the format and map the fields of the returned data from different systems, and writes the results to the database or cache. S6. Results Feedback and User Notification Phase After the task is completed and the data is synchronized, the system will promptly push the execution results to the user's end through the notification and feedback module; S7. Log Recording and System Monitoring Phase The system support layer records and monitors the entire linkage process, forming a traceable event chain. The log system records the event trigger time, matching rule number, task execution result, execution time, and exception information in detail. When an exception occurs, such as interface call failure or network interruption, the system will automatically retry or generate an exception alarm and notify the administrator for manual intervention. At the same time, the monitoring module displays the task execution status in real time through a visual interface, realizing dynamic monitoring of the system's health status and performance.

5. The business collaboration model system based on cross-application linkage as described in claim 4, characterized in that, In S1, the system first embeds event triggers in each business subsystem; when a user performs an operation in a certain subsystem, the trigger will immediately capture the operation and generate a standardized event object; the event object is encapsulated in a unified format, including event ID, event type, trigger source, triggerer identity, operation time, key content, context data, and associated file pointer fields.

6. The business collaboration model system based on cross-application linkage as described in claim 4, characterized in that, In S2, all event objects are pushed to the system's event bus after they are generated; The event listening module continuously monitors the event bus and puts the received events into the event queue for caching and scheduling; The event queue adopts an asynchronous non-blocking mechanism, supports priority scheduling and parallel consumption strategies, and ensures that the system remains smooth in high-concurrency scenarios. Each event object is assigned a unique processing channel and status identifier in the queue for subsequent tracking and logging.

7. The business collaboration model system based on cross-application linkage as described in claim 4, characterized in that, In S3, the rule engine has multiple built-in linkage rule templates. Each rule consists of two parts: the trigger condition IF and the execution action THEN. The rule engine extracts the context semantics and key parameters of the event through the event parser and compares them with the condition set in the rule base. When the condition matches successfully, the system generates a linkage task instruction set.

8. The business collaboration model system based on cross-application linkage as described in claim 4, characterized in that, In S4, if the task is a meeting-related event, the system will automatically call the schedule module to create a meeting task and further call the video conferencing system to generate a meeting link; if the task involves file content, the cloud disk module will be automatically triggered to upload the file and bind the path; if the task has reminder conditions, the email system or message center will be called to send a reminder notification. The task scheduling module supports asynchronous distribution and parallel execution mechanisms, which can handle multiple linked tasks at the same time, ensuring efficient system response and stable execution.

9. The business collaboration model system based on cross-application linkage as described in claim 8, characterized in that, In S4, the task scheduling module adopts a thread pool parallel execution mechanism and has task retry and rollback functions; when a subtask fails, the system will automatically retry or record the abnormal status for manual intervention; during the linkage process, the task status and execution log are written to the database in real time for the monitoring module to call.

10. The business collaboration model system based on cross-application linkage as described in claim 4, characterized in that, In S5, after each business system completes its task, it returns the execution result to the data synchronization module via API. This module, based on a unified data model, performs structural mapping and standardization merging of data from different systems. The system automatically updates the task status to ensure that the data in the instant messaging, to-do list, online cloud drive, video conferencing, and email modules remains consistent.

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