Financial contract online editing system based on multi-person cooperation

Abstract

The invention relates to the technical field of data processing, in particular to a financial contract online editing system based on multi-person collaboration, and the method comprises the steps: capturing an operation feature vector with a space-time mark in real time through an acquisition unit; the analysis unit generates a regional operation intention set in combination with the contract semantic tag library; the conflict probability calculation unit fuses the space overlapping degree, the logic association chain and the time sequence overlapping window to quantify the conflict risk; the dynamic partition response unit triggers area locking, operation confirmation or background monitoring according to probability value grading; the legal rule verification unit implements compliance interception and outputs a forced interrupt signal; the business logic serialization unit reconstructs an instruction sequence; the multi-strategy synchronous execution unit carries out atomic broadcasting, transaction binding and batch asynchronous updating by differentiating a core term channel, a dependency group channel and a common term channel; and the closed-loop audit tracking unit aggregates full-link data to generate a verifiable influence chain. The risk of data inconsistency caused by concurrent operation of financial contracts is systematically solved.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, and in particular to an online financial contract editing system based on multi-user collaboration. Background Technology

[0002] The online financial contract system based on multi-user collaboration is a financial document management platform that supports remote real-time collaboration among multiple users. Through real-time editing and synchronous update functions, it eliminates the risk of version conflicts in existing offline operations. Users participate in document modification through a permission allocation mechanism, and all change history is recorded through audit trails, improving the transparency of multi-party review, thereby reducing human error and accelerating the contract approval process. Digital signature technology and end-to-end encryption ensure data security and legal validity, promote efficient consensus among all parties, and ultimately optimize the overall compliance and efficiency of financial processes.

[0003] In collaborative online financial contract systems, the real-time synchronization mechanism may delay responses to concurrent operations during editing. When multiple users simultaneously modify the same document area, the system may be unable to detect or resolve editing conflicts in a timely manner, increasing the risk of data inconsistency. For example, in a multi-party financial contract approval scenario, if financial and legal specialists concurrently update payment terms, system synchronization delays may cause one party's input to be overwritten by the other, leading to errors in contract terms and affecting the accuracy and efficiency of the legal validity review process. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides an online financial contract editing system based on multi-user collaboration. This invention solves the technical problem that the response delay of the real-time synchronization mechanism to concurrent operations increases the risk of data inconsistency when multiple users simultaneously modify the same document area.

[0005] To solve the above-mentioned technical problems, the specific details of the present invention are as follows: The online financial contract editing system based on multi-user collaboration provided by this invention includes: The acquisition unit captures the operation event streams of multiple users in real time and generates an operation feature vector that includes coordinate range, operation type code, role attribute weight, and timestamp. The analysis unit takes as input the operation feature vector connected to the acquisition unit, and outputs a weighted set of regional operation intentions based on a predefined semantic tag library and logical association matrix of financial contract documents. The conflict probability calculation unit takes into account the set of regional operation intentions of the analysis unit and calculates the conflict probability value of concurrent operations through spatial overlap, logical association chain and temporal overlap window. The dynamic partitioning response unit takes the conflict probability value from the conflict probability calculation unit as input, and sets and triggers the following hierarchical control rules based on the conflict probability value: When the probability of conflict is high, a visual permission lock is generated and the associated area is frozen; When the probability of a conflict is low, an operation confirmation request is pushed to the user terminal. Enable background operation monitoring when the probability of conflict is low; The legal rule verification unit connects to an external legal clause feature library, performs compliance checks on the operation flow allowed by the dynamic partition response unit, and outputs a forced interrupt signal to the dynamic partition response unit when the verification result deviates from the threshold. The business logic serialization unit takes the operation flow allowed to be executed by the dynamic partition response unit as input, reconstructs the operation execution order according to the clause dependency tree topology, and generates a reconstructed instruction sequence. The multi-strategy synchronous execution unit takes into account the instruction sequence generated by the business logic serialization unit, differentiates the update channels of core clauses, dependent clause groups and ordinary clauses, and distributes operation instructions using atomic broadcast, transaction binding and batch asynchronous mechanisms respectively; The closed-loop audit trail unit receives the operation feature vector from the collection unit, the conflict probability value from the conflict probability calculation unit, the verification result from the legal rule verification unit, and the instruction distribution log from the multi-strategy synchronous execution unit, and generates a traceable operation impact chain to verify data consistency.

[0006] Furthermore, in the online financial contract editing system based on multi-user collaboration described in this invention, the analysis unit is configured as follows: Based on the coordinate range data of the operational feature vector, match the physical location range of the contract terms; The matching clause location data is combined with the role attribute weights in the operation feature vector to adjust the semantic weight value of the target region; Aggregate the weight adjustment results and the contract logic association matrix, and output the set of regional operation intentions of the dependency chain of related clauses.

[0007] Furthermore, in the online financial contract editing system based on multi-person collaboration described in this invention, the conflict probability calculation unit includes: The Spatial Conflict Factor module parses the coordinate data in the set of regional operation intentions and calculates the physical overlap rate of multi-user operation areas. The logical conflict factor module extracts the chain of related clauses from the set of regional operation intentions and detects the intersection of dependencies; The timing conflict factor module analyzes the overlap duration of operation time windows based on the timestamp data of the operation feature vector. By combining the results of physical overlap rate, dependency intersection, and time window overlap, the probability value of concurrent operation conflict is calculated.

[0008] Furthermore, in the multi-user collaborative online financial contract editing system of the present invention, the hierarchical control rules of the dynamic partition response unit are as follows: When the conflict probability value is greater than 0.8, the core terms and dependent terms are locked in conjunction. When the conflict probability value is ∈ [0.4, 0.8], an operation confirmation request is pushed to the user terminal, and subsequent operations are performed based on the user's response data; When the conflict probability value is less than 0.4, the monitoring thread is activated to record the operation log and allow parallel operations.

[0009] Furthermore, in the online financial contract editing system based on multi-person collaboration described in this invention, the execution process of the legal rule verification unit includes: Receive the operation flow that the dynamic partition response unit allows to execute, and parse the user input text in the operation flow into a numerical feature vector; The numerical feature vectors are compared with the baseline vectors of the external legal clause feature database to calculate the Euclidean distance; If the Euclidean distance is greater than the preset threshold, a forced interrupt signal is generated to the dynamic partition response unit to freeze the associated region.

[0010] Furthermore, in the online financial contract editing system based on multi-user collaboration described in this invention, the business logic serialization unit is configured as follows: Parse the operation flow allowed to be executed by the dynamic partition response unit and identify the dependency hierarchy of operation intentions; Based on the identified dependency hierarchy, construct the clause dependency tree topology; Traverse the dependency tree topology, sort the operation instructions according to the hierarchical relationship, and generate a linear instruction stream for operations at the same level based on the timestamp.

[0011] Furthermore, in the online financial contract editing system based on multi-person collaboration described in this invention, the multi-strategy synchronous execution unit is configured as follows: Receives a linear instruction stream from the business logic serialization unit; Based on the semantic tag type of the terms: The core terms and instructions invoke the atomic broadcast protocol for blocking distribution; Enable transaction binding for dependency clause group instructions; Package ordinary terms and conditions into a batch task set and trigger asynchronous updates in a 200ms time window.

[0012] Furthermore, in the online financial contract editing system based on multi-person collaboration described in this invention, the closed-loop audit tracking unit is configured as follows: It receives and integrates the operation feature vector of the acquisition unit, the intermediate parameters of the conflict probability calculation unit, the deviation data of the legal rule verification unit, and the instruction log of the multi-strategy synchronous execution unit; By linking and integrating data with contract terms dependency trees, a time-stamped chain of operational impacts is generated. Based on the logical connection path in the operation impact chain, the source of concurrent operation conflict and the abnormal node of legal verification are traced in reverse.

[0013] Furthermore, the online financial contract editing system based on multi-person collaboration described in this invention also includes: the dynamic partition response unit captures the user's response behavior to the operation confirmation request and generates user operation feedback data; The conflict probability calculation unit takes the user operation feedback data as input and dynamically updates the weight coefficients of the spatial conflict factor and the logical conflict factor.

[0014] Furthermore, the online financial contract editing system based on multi-user collaboration described in this invention also includes: synchronously executing the following when the legal rule verification unit generates a forced interrupt signal: Send a region freeze command to the dynamic partition response unit to lock the target clause and associated region; Send a process truncation command to the business logic serialization unit to clear the pending operation flow in the current processing queue.

[0015] Beneficial effects of this invention; The beneficial effects of this invention are reflected in three levels of technical optimization: First, semantic topology parsing and conflict probability modeling predict the risk of concurrent operation conflicts; a dynamic partitioning response mechanism isolates high-risk areas in advance during the user editing stage, effectively reducing the probability of data overwriting caused by real-time synchronization delays. Second, a strong legal rule verification unit is deeply bound to the characteristics of the financial contract domain, intercepting illegal inputs and freezing related clauses before operation execution, simultaneously eliminating legal validity defects and data logic contradictions. Third, business topology serialization reconstructs the operation instruction flow to ensure the sequential execution of key clauses; a multi-channel synchronization strategy differentiates and processes core clauses, dependency groups, and ordinary clauses, balancing data consistency and system throughput efficiency. Fourth, a full-link audit mechanism aggregates operation characteristics, conflict parameters, legal deviations, and execution logs to generate a verifiable impact chain, supporting root cause tracing while providing data sources for model optimization. In summary, the technical solution transforms the existing passive synchronization into a proactive control system of "prediction-isolation-verification-serialization-differentiated synchronization-audit optimization," systematically solving the data inconsistency risks unique to financial contract scenarios while maintaining real-time collaboration efficiency. Attached Figure Description

[0016] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on the accompanying drawings without creative effort.

[0017] Figure 1 This is a system architecture diagram of an online financial contract editing system based on multi-user collaboration, provided in an embodiment of the present invention. Detailed Implementation

[0018] To make the technical solution of the present invention clearer, the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. The present invention provided by various embodiments will be described in detail below with reference to the accompanying drawings. To better understand the purpose of the present invention, the present invention will be described in further detail below.

[0019] Please see Figure 1 The present invention provides an online financial contract editing system based on multi-user collaboration, comprising: The acquisition unit captures the operation event streams of multiple users in real time and generates an operation feature vector that includes coordinate range, operation type code, role attribute weight, and timestamp. The analysis unit takes as input the operation feature vector connected to the acquisition unit, and outputs a weighted set of regional operation intentions based on a predefined semantic tag library and logical association matrix of financial contract documents. The conflict probability calculation unit takes into account the set of regional operation intentions of the analysis unit and calculates the conflict probability value of concurrent operations through spatial overlap, logical association chain and temporal overlap window. The dynamic partitioning response unit takes the conflict probability value from the conflict probability calculation unit as input, and sets and triggers the following hierarchical control rules based on the conflict probability value: When the probability of conflict is high, a visual permission lock is generated and the associated area is frozen; When the probability of a conflict is low, an operation confirmation request is pushed to the user terminal. Enable background operation monitoring when the probability of conflict is low; The legal rule verification unit connects to an external legal clause feature library, performs compliance checks on the operation flow allowed by the dynamic partition response unit, and outputs a forced interrupt signal to the dynamic partition response unit when the verification result deviates from the threshold. The business logic serialization unit takes the operation flow allowed to be executed by the dynamic partition response unit as input, reconstructs the operation execution order according to the clause dependency tree topology, and generates a reconstructed instruction sequence. The multi-strategy synchronous execution unit takes into account the instruction sequence generated by the business logic serialization unit, differentiates the update channels of core clauses, dependent clause groups and ordinary clauses, and distributes operation instructions using atomic broadcast, transaction binding and batch asynchronous mechanisms respectively; The closed-loop audit trail unit receives the operation feature vector from the collection unit, the conflict probability value from the conflict probability calculation unit, the verification result from the legal rule verification unit, and the instruction distribution log from the multi-strategy synchronous execution unit, and generates a traceable operation impact chain to verify data consistency.

[0020] The acquisition unit first monitors the behavior of multiple user terminals in real time, capturing the raw event stream, including cursor displacement coordinate sequences, text editing ranges, and role permission identifiers. A millisecond-level timestamp generator marks the precise timing of each action, and, combined with a preset role attribute mapping table, transforms the action into a structured operation feature vector, including physical coordinate ranges, editing action type encoding, role influence coefficients, and timestamp data. This vector serves as the unified input source for subsequent modules.

[0021] The analysis unit loads a predefined semantic tagging system from the financial contract. The tag library establishes a mapping between clause numbers and physical locations, and a logical association matrix describes the business dependency topology between clauses. Upon receiving the operation feature vector, the coordinate matching engine locates the physical region of the currently edited clause. Role influence coefficients dynamically adjust the semantic weight value of the target region, and the association engine derives the relevant dependent clause chain based on the logical matrix. Finally, it outputs a set of operation intentions carrying weight values ​​and dependency relationships.

[0022] The conflict probability calculation unit continuously tracks the set of concurrent operation intentions. The spatial conflict detector calculates the overlap ratio of user operation area coordinates, the logical conflict detector scans the intersection of operation states in the dependency chain, and the temporal conflict detector analyzes the overlapping intervals of operation time windows. The results of the three-factor detection are input into the probability calculation model, and a conflict probability value is dynamically generated by combining the role influence coefficient. The probability value indicates the risk level of conflict between user operations.

[0023] The dynamic partition response unit activates a tiered control strategy based on the conflict probability value. In the high-probability range, the UI rendering engine generates a visual locking layer, displaying a red overlay over the core editing area, and the associated freeze mechanism simultaneously prohibits operations on dependent terms. In the medium-probability range, a floating prompt component is invoked to request user confirmation, and subsequent actions are processed based on the user's response data. In the low-probability range, a background logging thread is started to perform parallel operation monitoring. The tiered response results form a set of access control states.

[0024] The legal rule verification unit connects to an external legal clause feature knowledge base, and the feature vector library stores standardized legal rule numerical expressions. Upon receiving the operation flow approved by the dynamic partitioning response unit, the text parser converts the user input into a numerical vector, and the compliance detector calculates the geometric distance deviation from the baseline vector. When the deviation exceeds a preset threshold, the instruction generator outputs a forced interrupt signal to the dynamic partitioning response unit. The legal verification result is embedded in the access control decision-making chain.

[0025] The business logic serialization unit constructs a clause dependency topology processor. The rule parser identifies the clause business dependency hierarchy in the operation flow, the topology sorter arranges the operation instruction sequence hierarchically according to the dependency tree structure, and the timing scheduler generates a linearized execution queue for instructions at the same level based on time stamps. The output sequence ensures that critical business operations are executed first, and business logic constraints are embedded in the instruction order structure.

[0026] A multi-strategy synchronous execution unit establishes a channel differentiation controller. Instruction flows are processed by a semantic tag classifier: core clause channels utilize an atomic broadcast protocol for real-time blocking synchronization; dependent clause group channels employ a transaction binding mechanism to ensure atomic activation of associated operations; and ordinary clause channels package instruction sets and update them asynchronously via a time window scheduler. Channel strategies match the business importance of different clauses, and differentiated execution improves overall efficiency.

[0027] The closed-loop audit trail unit constructs a holographic operation graph library, receiving all output data from the aforementioned modules, including original feature vectors, conflict probability values, legal verification deviation records, and channel execution logs. The data association tool binds discrete records to a clause dependency tree, and the influence chain generator establishes a backtracking path for the entire operation process. The tracing engine uses dependency relationships to reverse-locate the root causes of concurrent conflicts, and audit data verifies the consistency of the final document. The operation graph continuously outputs self-optimizing parameters to the conflict probability model training interface.

[0028] User behavior data is collected in a structured manner and semantically parsed. Risk grading control is achieved through a conflict prediction model. Legal rules deeply intervene in permission allocation strategies, and business logic constraints restructure instruction execution sequences. A differentiated strategy for synchronous channels ensures the consistency of critical data. A full-link audit mechanism enables problem tracing and model optimization. Each unit's output serves as the input source for downstream modules, with continuous data flow and interconnected functions, forming a closed-loop technical system for resolving concurrent operation conflicts.

[0029] Specifically, in the online financial contract editing system based on multi-user collaboration described in this invention, the analysis unit is configured as follows: Based on the coordinate range data of the operational feature vector, match the physical location range of the contract terms; The matching clause location data is combined with the role attribute weights in the operation feature vector to adjust the semantic weight value of the target region; Aggregate the weight adjustment results and the contract logic association matrix, and output the set of regional operation intentions of the dependency chain of related clauses.

[0030] During the analysis unit's execution, it first matches the coordinate range data in the operation feature vector with the pre-divided physical location intervals of the clauses in the contract document. Upon successful matching, it invokes the role attribute weight allocator to increase or decrease the semantic weight value of the target region based on the role authority value in the operation feature vector. The weight adjustment result is input into the logical association matrix parser, which, combined with the pre-defined dependency chains between contract clauses, generates a set of regional operation intentions carrying semantic weights and related clause chains. This set provides a structured input source for conflict detection.

[0031] Specifically, in the online financial contract editing system based on multi-person collaboration described in this invention, the conflict probability calculation unit includes: The Spatial Conflict Factor module parses the coordinate data in the set of regional operation intentions and calculates the physical overlap rate of multi-user operation areas. The logical conflict factor module extracts the chain of related clauses from the set of regional operation intentions and detects the intersection of dependencies; The timing conflict factor module analyzes the overlap duration of operation time windows based on the timestamp data of the operation feature vector. By combining the results of physical overlap rate, dependency intersection, and time window overlap, the probability value of concurrent operation conflict is calculated.

[0032] In the conflict probability calculation unit, the spatial conflict factor module scans the coordinate data within the set of operational intents in the region and calculates the physical overlap ratio of the multi-user operation areas. The logical conflict factor module simultaneously extracts the chain of related clauses in the intent set and detects whether dependent clauses are occupied by other user operations. The temporal conflict factor module analyzes the overlap length of the time windows of concurrent operations based on the timestamps of the operation feature vectors. The output results of the three factors are input into the probability fusion unit, which dynamically generates conflict probability values ​​by combining role attribute weights, thereby achieving a multi-dimensional quantitative assessment of conflict risk.

[0033] Specifically, in the multi-user collaborative online financial contract editing system of the present invention, the hierarchical control rules of the dynamic partition response unit are as follows: When the conflict probability value is greater than 0.8, the core terms and dependent terms are locked in conjunction. When the conflict probability value is ∈ [0.4, 0.8], an operation confirmation request is pushed to the user terminal, and subsequent operations are performed based on the user's response data; When the conflict probability value is less than 0.4, the monitoring thread is activated to record the operation log and allow parallel operations.

[0034] The dynamic partition response unit activates tiered control based on conflict probability values: When the probability value exceeds a high threshold, the interface rendering engine generates a red visual permission lock covering the core clause editing area, and the dependent clause freezer simultaneously disables operation permissions for related areas. When the probability value is in the middle range, the confirmation request generator pushes a floating prompt layer to the user's terminal, waiting for user response data to determine the subsequent operation flow. When the probability value is below a low threshold, the background monitor starts an invisible log thread to record the operation process, while allowing users to edit in parallel.

[0035] Specifically, in the online financial contract editing system based on multi-person collaboration described in this invention, the execution process of the legal rule verification unit includes: Receive the operation flow that the dynamic partition response unit allows to execute, and parse the user input text in the operation flow into a numerical feature vector; The numerical feature vectors are compared with the baseline vectors of the external legal clause feature database to calculate the Euclidean distance; If the Euclidean distance is greater than the preset threshold, a forced interrupt signal is generated to the dynamic partition response unit to freeze the associated region.

[0036] The legal rule verification unit receives the operation flow allowed by the dynamic partitioning response unit. The text parser extracts the user input and converts it into a numerical feature vector. The feature comparator calls the benchmark vector from an external legal clause feature library and calculates the Euclidean distance between the input vector and the benchmark. When the Euclidean distance exceeds a safety threshold, the distance analyzer triggers the instruction generator to send a forced interrupt signal to the dynamic partitioning response unit, driving the target area to be locked immediately.

[0037] Specifically, in the online financial contract editing system based on multi-user collaboration described in this invention, the business logic serialization unit is configured as follows: Parse the operation flow allowed to be executed by the dynamic partition response unit and identify the dependency hierarchy of operation intentions; Based on the identified dependency hierarchy, construct the clause dependency tree topology; Traverse the dependency tree topology, sort the operation instructions according to the hierarchical relationship, and generate a linear instruction stream for operations at the same level based on the timestamp.

[0038] The business logic serialization unit parses the operation flow output by the dynamic partition response unit, and the dependency identifier scans the hierarchical constraints between clauses in the operation intent. The topology builder constructs a clause dependency tree structure based on the identification results, and the hierarchy sorter layers the operation instructions according to the dependency tree hierarchy. The timing scheduler sorts instructions at the same level according to the timestamps in the operation feature vectors, and outputs a linearized instruction sequence to ensure that critical operations are executed first.

[0039] Specifically, in the online financial contract editing system based on multi-person collaboration described in this invention, the multi-strategy synchronous execution unit is configured as follows: Receives a linear instruction stream from the business logic serialization unit; Based on the semantic tag type of the terms: The core terms and instructions invoke the atomic broadcast protocol for blocking distribution; Enable transaction binding for dependency clause group instructions; Package ordinary terms and conditions into a batch task set and trigger asynchronous updates in a 200ms time window.

[0040] The multi-strategy synchronous execution unit receives the instruction sequence from the business logic serialization unit. The channel classifier distributes the instructions according to the semantic tag type of the clause: core clause instructions are input into the atomic broadcast channel and take effect in real time using a blocking protocol; dependent clause group instructions are transferred to the transaction binding channel and the atomic commit mechanism is enabled to ensure the consistency of related operations; ordinary clause instructions are packaged and input into the batch processing channel and updated asynchronously through the time window scheduler.

[0041] Specifically, in the online financial contract editing system based on multi-person collaboration described in this invention, the closed-loop audit tracking unit is configured as follows: It receives and integrates the operation feature vector of the acquisition unit, the intermediate parameters of the conflict probability calculation unit, the deviation data of the legal rule verification unit, and the instruction log of the multi-strategy synchronous execution unit; By linking and integrating data with contract terms dependency trees, a time-stamped chain of operational impacts is generated. Based on the logical connection path in the operation impact chain, the source of concurrent operation conflict and the abnormal node of legal verification are traced in reverse.

[0042] The closed-loop audit trail unit aggregates the operational feature vectors from the collection unit, the intermediate parameters from the conflict probability calculation unit, the deviation records from the legal rule verification unit, and the log data from the multi-strategy synchronous execution unit. The data association unit binds discrete information to the contract clause dependency tree, generating a timestamped operational impact chain. The traceability analyzer reverse-engineers the logical paths in the impact chain to pinpoint the root cause of the conflict and marks abnormal nodes in the legal verification process.

[0043] Specifically, the online financial contract editing system based on multi-person collaboration described in this invention further includes: the dynamic partition response unit capturing the user's response behavior to the operation confirmation request and generating user operation feedback data; The conflict probability calculation unit takes the user operation feedback data as input and dynamically updates the weight coefficients of the spatial conflict factor and the logical conflict factor.

[0044] The dynamic partitioning response unit captures the user's response behavior to the operation confirmation request and generates a user operation feedback dataset. After receiving this dataset, the conflict probability calculation unit dynamically adjusts the role attribute weight coefficients in the spatial conflict factor and logical conflict factor to optimize the accuracy of subsequent conflict probability calculations.

[0045] Specifically, the online financial contract editing system based on multi-user collaboration described in this invention further includes: synchronously executing the following when the legal rule verification unit generates a forced interrupt signal: Send a region freeze command to the dynamic partition response unit to lock the target clause and associated region; Send a process truncation command to the business logic serialization unit to clear the pending operation flow in the current processing queue.

[0046] When the legal rule verification unit generates a forced interruption signal, the instruction dispatcher executes simultaneously: sending a region freeze instruction to the dynamic partition response unit to lock the target clause and associated editing area; and sending a queue clear instruction to the business logic serialization unit to interrupt the current pending operation flow. This dual-path truncation mechanism prevents unauthorized operations from entering the execution phase.

[0047] This technical solution addresses the risk of data inconsistency caused by concurrent operations through a multi-layered defense mechanism. The acquisition unit captures multi-party operation event streams in real time, generating operation feature vectors with timestamps and role weights, providing the raw data foundation for conflict identification. The analysis unit parses the mapping relationship between operation vectors and semantic tags in the contract document, outputting a weighted set of regional operation intentions to identify potential conflict areas.

[0048] The conflict probability calculation unit comprehensively analyzes three dimensions—spatial overlap, logical association chain, and temporal overlap window—to quantify the probability value of concurrent operation conflicts. The dynamic partitioning response unit responds in tiers based on probability values: in high-probability intervals, a visual permission lock is generated in real-time to freeze core areas and related clauses; in medium-probability intervals, a user confirmation process is triggered; and in low-probability intervals, background monitoring is activated. This mechanism isolates conflict risks in advance during the user operation phase.

[0049] The legal rule verification unit simultaneously performs compliance checks on the release operation flow. When the parsed text features deviate from the legal benchmark vector by a threshold, a forced interruption signal is sent to the partitioning unit to prevent the non-compliant operation from entering the execution phase. The business logic serialization unit reconstructs the operation sequence according to the clause dependency tree topology, ensuring that key business operations are executed in hierarchical order and eliminating execution conflicts caused by chaotic dependency relationships.

[0050] The multi-strategy synchronous execution unit differentiates update channels based on the semantic importance of clauses: core clauses use atomic broadcasting for immediate effect; dependent clause groups enable transaction binding to ensure the atomicity of related operations; and ordinary clauses are updated asynchronously in batches. Channel strategies match the business characteristics of the clauses, ensuring both the consistency of critical data and improving overall efficiency. The closed-loop audit tracing unit aggregates full-link operation data to generate an impact chain, traces the root cause of conflicts backward through a dependency tree, and verifies the consistency of the final document.

[0051] This invention breaks through the passive response mode of existing synchronization mechanisms, establishing a proactive defense system of prediction, isolation, reconstruction, and verification: It predicts conflict risks through semantic topology, achieves risk isolation during operational phases through dynamic partitioning, uses strong legal rule verification to block unauthorized operations, eliminates execution gaps through business topology serialization, ensures consistency in effectiveness through differentiated synchronization strategies, and enables problem attribution and continuous optimization through an auditing mechanism. The data flow at each stage is interconnected, reducing the risk of data inconsistency caused by concurrent operations at its root.

Claims

1. A multi-user collaborative online financial contract editing system, characterized in that: include: The acquisition unit captures the operation event streams of multiple users in real time and generates an operation feature vector that includes coordinate range, operation type code, role attribute weight, and timestamp. The analysis unit takes as input the operation feature vector connected to the acquisition unit, and outputs a weighted set of regional operation intentions based on a predefined semantic tag library and logical association matrix of financial contract documents. The conflict probability calculation unit takes into account the set of regional operation intentions of the analysis unit and calculates the conflict probability value of concurrent operations through spatial overlap, logical association chain and temporal overlap window. The dynamic partitioning response unit takes the conflict probability value from the conflict probability calculation unit as input, and sets and triggers the following hierarchical control rules based on the conflict probability value: When the probability of conflict is high, a visual permission lock is generated and the associated area is frozen; When the probability of a conflict is low, an operation confirmation request is pushed to the user terminal. Enable background operation monitoring when the probability of conflict is low; The legal rule verification unit connects to an external legal clause feature library, performs compliance checks on the operation flow allowed by the dynamic partition response unit, and outputs a forced interrupt signal to the dynamic partition response unit when the verification result deviates from the threshold. The business logic serialization unit takes the operation flow allowed to be executed by the dynamic partition response unit as input, reconstructs the operation execution order according to the clause dependency tree topology, and generates a reconstructed instruction sequence. The multi-strategy synchronous execution unit takes into account the instruction sequence generated by the business logic serialization unit, differentiates the update channels of core clauses, dependent clause groups and ordinary clauses, and distributes operation instructions using atomic broadcast, transaction binding and batch asynchronous mechanisms respectively; The closed-loop audit trail unit receives the operation feature vector from the collection unit, the conflict probability value from the conflict probability calculation unit, the verification result from the legal rule verification unit, and the instruction distribution log from the multi-strategy synchronous execution unit, and generates a traceable operation impact chain to verify data consistency.

2. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, The analysis unit is configured as follows: Based on the coordinate range data of the operational feature vector, match the physical location range of the contract terms; The matching clause location data is combined with the role attribute weights in the operation feature vector to adjust the semantic weight value of the target region; Aggregate the weight adjustment results and the contract logic association matrix, and output the set of regional operation intentions of the dependency chain of related clauses.

3. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, The conflict probability calculation unit includes: The Spatial Conflict Factor module parses the coordinate data in the set of regional operation intentions and calculates the physical overlap rate of multi-user operation areas. The logical conflict factor module extracts the chain of related clauses from the set of regional operation intentions and detects the intersection of dependencies; The timing conflict factor module analyzes the overlap duration of operation time windows based on the timestamp data of the operation feature vector. By combining the results of physical overlap rate, dependency intersection, and time window overlap, the probability value of concurrent operation conflict is calculated.

4. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, In the hierarchical control rules of the dynamic partition response unit: When the conflict probability value is greater than 0.8, the core terms and dependent terms are locked in conjunction. When the conflict probability value is ∈ [0.4, 0.8], an operation confirmation request is pushed to the user terminal, and subsequent operations are performed based on the user's response data; When the conflict probability value is less than 0.4, the monitoring thread is activated to record the operation log and allow parallel operations.

5. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, The execution process of the legal rule verification unit includes: Receive the operation flow that the dynamic partition response unit allows to execute, and parse the user input text in the operation flow into a numerical feature vector; The numerical feature vectors are compared with the baseline vectors of the external legal clause feature database to calculate the Euclidean distance; If the Euclidean distance is greater than the preset threshold, a forced interrupt signal is generated to the dynamic partition response unit to freeze the associated region.

6. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, The business logic serialization unit is configured as follows: Parse the operation flow allowed to be executed by the dynamic partition response unit and identify the dependency hierarchy of operation intentions; Based on the identified dependency hierarchy, construct the clause dependency tree topology; Traverse the dependency tree topology, sort the operation instructions according to the hierarchical relationship, and generate a linear instruction stream for operations at the same level based on the timestamp.

7. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, The multi-strategy synchronous execution unit is configured as follows: Receives a linear instruction stream from the business logic serialization unit; Based on the semantic tag type of the terms: The core terms and instructions invoke the atomic broadcast protocol for blocking distribution; Enable transaction binding for dependency clause group instructions; Package ordinary terms and conditions into a batch task set and trigger asynchronous updates in a 200ms time window.

8. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, The closed-loop audit trail unit is configured as follows: It receives and integrates the operation feature vector of the acquisition unit, the intermediate parameters of the conflict probability calculation unit, the deviation data of the legal rule verification unit, and the instruction log of the multi-strategy synchronous execution unit; By linking and integrating data with contract terms dependency trees, a time-stamped chain of operational impacts is generated. Based on the logical connection path in the operation impact chain, the source of concurrent operation conflict and the abnormal node of legal verification are traced in reverse.

9. The online financial contract editing system based on multi-user collaboration according to claim 3, characterized in that, Also includes: The dynamic partition response unit captures the user's response behavior to the operation confirmation request and generates user operation feedback data. The conflict probability calculation unit takes the user operation feedback data as input and dynamically updates the weight coefficients of the spatial conflict factor and the logical conflict factor.

10. The online financial contract editing system based on multi-user collaboration according to claim 1, characterized in that, Also includes: When the legal rule verification unit generates a forced interrupt signal, the following is executed synchronously: Send a region freeze command to the dynamic partition response unit to lock the target clause and associated region; Send a process truncation command to the business logic serialization unit to clear the pending operation flow in the current processing queue.

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