Law and regulation-work package bidirectional association and dynamic mapping method and system

Abstract

The invention discloses a regulation-work package bidirectional association and dynamic mapping method and system, and relates to the technical field of enterprise compliance management and task management informatization. The method comprises the following steps: constructing a standardized law and regulation library and a work package attribute library, disassembling a law and regulation file into compliance requirement points, and determining multi-dimensional attributes of a work package; forward mapping and reverse tracing binding of the compliance requirement point and the work package are realized through a mapping matching model; performing integrity, consistency and rationality verification on the mapping relation; monitoring the regulation change and automatically updating the mapping relation; and visually displaying the mapping relationship and monitoring compliance execution. The system correspondingly comprises a regulation management module, a work package management module, a bidirectional mapping module and the like. According to the method, closed-loop management and control of law and regulation requirements, task execution and compliance evidence are realized, the problems of unidirectional and static mapping and rough granularity in the prior art are solved, the compliance management and control accuracy and the dynamic adaptation capability are improved, and the compliance risk of an enterprise is reduced.

Description

Technical Field

[0001] This invention relates to the field of enterprise compliance management and task management information technology, specifically to a method and system for bidirectional association and dynamic mapping of regulations and work packages, applicable to various enterprises that embed compliance requirements into daily work tasks, and realize full-process traceability and dynamic adaptation of compliance control. Background Technology

[0002] In the course of business operations, strict compliance with national laws and regulations, industry standards, and internal systems is essential. Traditional compliance management models often employ a "system dissemination-post-audit" approach, which suffers from a disconnect between compliance requirements and actual work tasks. On the one hand, regulatory clauses are often general principles, making it difficult to directly translate them into specific, actionable tasks. On the other hand, the execution of work tasks lacks precise binding with compliance evidence, resulting in an incomplete chain of compliance evidence and making it difficult to quickly trace back during internal and external audits. Existing technologies include some compliance management software that can maintain and query regulatory databases, and some project management software that can break down and monitor the execution of work tasks. However, the data in these two types of software are independent, lacking an effective correlation mechanism. Specific shortcomings include: 1. One-way mapping, lack of a closed loop: Only some regulatory clauses can be manually associated with work tasks. It is impossible to achieve precise decomposition and mapping from regulations to work packages, nor can it trace back from work package deliverables to corresponding regulatory clauses, thus failing to form a closed loop of "regulatory requirements-execution-evidence." 2. Static association, poor dynamic adaptability: When regulations are updated, revised, or added, the affected work packages cannot be automatically identified. Manual adjustments are required item by item, which is inefficient and prone to omissions, causing compliance management to lag behind regulatory changes. 3. Coarse mapping granularity, insufficient precision: Regulatory documents are often linked as a whole to a specific business process without fine-grained breakdown of regulatory clauses. This fails to achieve precise mapping of "one regulatory clause corresponding to one or more specific work packages," creating blind spots in compliance control. 4. Lack of intelligent verification mechanism: During work package execution, real-time verification of compliance with associated regulatory requirements is impossible, easily leading to situations where "non-compliance is discovered after task completion," increasing enterprise compliance risks. Therefore, there is an urgent need for a technical solution that can achieve precise two-way association between regulatory clauses and work packages and support dynamic adaptation to regulatory changes, addressing the pain point of the disconnect between existing compliance management and task management. Summary of the Invention

[0003] Purpose of the invention The purpose of this invention is to provide a method and system for bidirectional association and dynamic mapping of regulations and work packages, which solves the problems of unidirectional, static, coarse-grained mapping of regulations and work tasks and lack of intelligent verification in the prior art, realizes embedded execution of compliance requirements, full-link traceability and dynamic updates, and reduces enterprise compliance risks.

[0004] Technical solution

[0005] 1. A method for bidirectional association and dynamic mapping between regulations and work packages, such as... Figure 1 As shown, the regulatory-work package bidirectional association and dynamic mapping method of this invention includes five core steps, S1 to S5. Through linear execution and closed-loop optimization, it achieves full-process control from basic library construction to visualization application, including the following steps:

[0006] S1: Construct a standardized regulatory library and work package attribute library; S11: Regulatory library construction and refined breakdown: Collect applicable laws, regulations, industry standards, regulatory requirements, and internal systems for the enterprise. Through NLP (Natural Language Processing) algorithms combined with manual verification, break down regulatory documents into the smallest granularity of compliance requirements. Each compliance requirement includes a unique identifier, clause content, applicable scenario, responsible party, and consequences of violation; At the same time, establish a dynamic update mechanism for the regulatory library, connect with official regulatory release channels, and obtain information on regulatory revisions, additions, or repeals in real time; S12: Work package attribute library construction: Collect work package data from various business processes of the enterprise and construct a standardized work package attribute library. The attributes of each work package include basic attributes (work package ID, name, corresponding position, responsible person, resource requirements), execution attributes (input standards, output standards, acceptance requirements, completion deadline), and management attributes (performance indicators, quality standards);

[0007] S2: Bidirectional Precise Mapping of Regulations and Work Packages; S21: Forward Mapping: Compliance Requirement Point → Work Package: Construct a mapping matching model, inputting the applicable scenarios, responsible entities, and execution actions of compliance requirement points, as well as the business scenarios, job responsibilities, and work content of work packages. A cosine similarity algorithm combined with a business rule engine is used to calculate the matching degree between compliance requirement points and work packages. A matching degree threshold (e.g., ≥85%) is set, and compliance requirement points are automatically mapped to one or more corresponding work packages, generating a forward mapping relationship table to ensure that each compliance requirement point has a corresponding execution carrier; S22: Reverse Mapping: Work Package → Compliance Requirement Point: Based on the forward mapping results, a unique identifier for each compliance requirement point is bound to each work package. A compliance basis field is added to the work package attribute library to clarify the specific regulatory clauses that the work package execution must follow. Simultaneously, the deliverables of the work package are associated with the compliance requirement points, setting the deliverables as compliance evidence for that compliance requirement point, generating a reverse traceability relationship table to achieve full-link traceability of "work package deliverables → compliance requirement points → regulatory clauses";

[0008] S3: Intelligent verification and optimization of mapping relationships; S31: Completeness verification: Traverse all compliance requirement points in the regulatory library to check for any cases that are not mapped to any work package. If such cases exist, they are marked as "compliance blind spots" and pushed to compliance management personnel, prompting them to supplement the corresponding work package; S32: Consistency verification: Check for conflicts among multiple compliance requirement points associated with the same work package. If conflicts exist, the rule engine is activated, and the conflict resolution is automatically determined based on regulatory priority (e.g., higher-level laws take precedence over lower-level laws), or the conflict is pushed to manual review; S33: Reasonableness verification: Combine the resource configuration and completion deadline of the work package to verify whether the associated compliance requirement points have the conditions for execution. If not, resource adjustment suggestions are generated to ensure that the compliance requirements can be implemented.

[0009] S4: Dynamic updating and adaptation of mapping relationships; S41: Monitoring and identification of regulatory changes: Through the dynamic updating mechanism of the regulatory database, real-time monitoring of regulatory revisions, additions, or repeals; when regulatory changes are detected, NLP algorithms are used to extract the changed compliance requirement points and associate them with the original compliance requirement points; S42: Automatic analysis of the scope of impact: Based on the forward mapping relationship table, all work packages associated with the changed compliance requirement points are automatically identified, a list of affected work packages is generated, and the scope of work packages that need to be adjusted is clarified; S43: Reconstruction and notification of mapping relationships: For the affected work packages, the mapping matching process in step S2 is re-executed to update the forward mapping relationship table and the reverse tracing relationship table; at the same time, update notifications are pushed to the responsible persons and compliance management personnel of the corresponding work packages, including the content of regulatory changes, work package adjustment requirements, and execution deadlines;

[0010] S5: Visualization and application of mapping relationships; S51: Visualization: Generates a two-way mapping relationship graph between regulations and work packages, supporting filtering and querying by regulatory clauses, business processes, positions, etc., intuitively displaying the relationship and traceability path between compliance requirements and work packages; S52: Compliance execution monitoring: During the execution of work packages, real-time verification is performed to check whether the delivered results meet the standards of the associated compliance requirements. If they do not meet the standards, an alert is triggered, prompting the responsible person to make rectifications. At the same time, compliance data during the execution of work packages is recorded to form a compliance execution ledger.

[0011] 2. A bidirectional association and dynamic mapping system between regulations and work packages, such as... Figure 2 As shown, the regulatory-work package bidirectional association and dynamic mapping system of the present invention includes a regulatory management module, a work package management module, a bidirectional mapping module, an intelligent verification module, a dynamic update module, a visualization and application module, and a storage module. Each module realizes bidirectional association and dynamic adaptation between compliance requirements and work packages through data interaction.

[0012] The regulatory management module is used for the collection, storage, detailed breakdown, and dynamic updating of regulatory documents. It includes a regulatory library, a compliance requirement point breakdown unit, and a regulatory change monitoring unit.

[0013] Work package management module: used for work package data collection, standardized attribute library construction and execution status monitoring, including work package attribute library and work package execution monitoring unit;

[0014] The bidirectional mapping module is used to implement forward matching mapping and reverse traceability binding between compliance requirement points and work packages. It includes a mapping matching model, a forward mapping relationship table, and a reverse traceability relationship table.

[0015] Intelligent verification module: used to verify the integrity, consistency and rationality of mapping relationships, including verification rule engine, compliance blind spot identification unit and conflict handling unit;

[0016] Dynamic update module: used for analyzing the scope of impact and reconstructing mapping relationships after regulatory changes, including impact analysis unit, mapping reconstruction unit, and notification push unit;

[0017] Visualization and Application Module: Used for visualizing mapping relationships and monitoring compliance execution, including a mapping graph display unit, a compliance execution ledger unit, and an early warning unit;

[0018] Storage module: Used to store the legal database, work package attribute database, mapping relationship table and compliance execution data.

[0019] Beneficial effects Compared with existing technologies, this invention has the following beneficial effects: 1. Achieving bidirectional closed-loop mapping: Forward mapping ensures that each compliance requirement has a corresponding work package for execution, while reverse mapping enables precise traceability from work package deliverables to regulatory clauses, constructing a complete closed loop of "regulatory requirements - task execution - compliance evidence," eliminating blind spots in compliance control. 2. Supporting dynamic adaptation to regulatory changes: When regulations are updated, the affected work packages are automatically identified, the mapping relationship is reconstructed, and notifications are pushed, solving the problems of low efficiency and easy omissions in traditional manual adjustments, ensuring that compliance management is synchronized with regulatory changes. 3. Improving mapping accuracy and rationality: Using NLP algorithms combined with a business rule engine to achieve refined mapping, multi-dimensional verification ensures that the mapping relationship is complete, consistent, and executable, avoiding the problem of "formal association but substantive disconnect." 4. Empowering deep integration of compliance and task management: Embedding compliance requirements into the entire process of work package execution, realizing the transformation of compliance control from post-audit to in-process control and pre-prevention, reducing corporate compliance risks, and providing compliance dimensions as a basis for performance evaluation and service quality management. Attached Figure Description Figure 1This is a schematic diagram of the overall process of the bidirectional association and dynamic mapping method between regulations and work packages of the present invention. It shows the entire process of linear execution and closed-loop optimization from the construction of a standardized regulation library and work package attribute library, through bidirectional accurate mapping, intelligent verification and optimization, dynamic update and adaptation to visualization and application. It clearly presents the execution order, triggering conditions, verification logic and output results of each step. Figure 2 This is a schematic diagram of the module architecture of the regulatory-work package bidirectional association and dynamic mapping system of the present invention. It illustrates the composition structure of the regulatory management module, work package management module, bidirectional mapping module, intelligent verification module, dynamic update module, visualization and application module and storage module, as well as the data interaction relationship and mapping relationship between each module and the process of transmission, optimization and reconstruction. Figure 3 This is a schematic diagram of the construction process of the standardized regulatory library of the present invention. It shows the whole process from the original regulatory layer to the decomposition processing layer (NLP algorithm + manual verification) to decompose it into the smallest granularity compliance requirement points and finally put it into the library to form a standardized regulatory library. At the same time, the decomposition rules of compliance requirement points and five core attributes are marked. Figure 4 This is a schematic diagram illustrating the principle of the bidirectional precise mapping between regulations and work packages in this invention. It shows the matching calculation logic (cosine similarity algorithm + business rule engine, matching degree threshold) for forward mapping (compliance requirement point → work package) and the binding rules for reverse mapping (work package → compliance requirement point), as well as the full-link traceability path of "work package deliverables → compliance requirement point → regulatory clauses". Figure 5 This is a flowchart illustrating the intelligent verification and optimization process of the mapping relationship in this invention. It shows the core verification logic, input and output content of the three verification units of integrity, consistency and rationality in the intelligent verification module, as well as the handling of abnormal situations, the determination of verification results, and the output process of the optimized mapping relationship. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to specific embodiments.

[0021] Example 1: Specific application of the bidirectional association and dynamic mapping method between regulations and work packages Taking the safety production compliance management of a property management company as an example, the steps of applying the method of this invention are as follows:

[0022] S1. Construct a standardized legal database and a work package attribute database. For example... Figure 3As shown, original regulatory documents such as the "Production Safety Law" and the "Property Management Regulations" were collected. Using NLP algorithms combined with manual verification, these original regulatory documents were broken down into the smallest granularity of compliance requirements and entered into a standardized regulatory library. Examples include "Conduct a safety hazard investigation in the park once a month" (compliance requirement ID: AQ-001) and "100% completion rate of safety hazard rectification" (compliance requirement ID: AQ-002). A work package attribute library was constructed, including work packages such as "Monthly Safety Hazard Investigation" (work package ID: WG-01) and "Safety Hazard Rectification Follow-up" (work package ID: WG-02), clearly defining the responsible person, execution content, and deliverables for each work package.

[0023] S2, a precise two-way mapping between regulations and work packages. For example... Figure 4 As shown, the matching degree is calculated using the cosine similarity algorithm to achieve precise association between compliance requirement points and work packages. Inputting the features of compliance requirement point AQ-001 and work package WG-01, the matching degree is calculated to be 92%, which is higher than the threshold of 85%. Therefore, AQ-001 is positively mapped to WG-01; similarly, AQ-002 is positively mapped to WG-02. AQ-001 is bound to the attribute library of WG-01 as compliance evidence, and its deliverable "Monthly Safety Hazard Investigation Report" is set as compliance evidence for AQ-001; similarly, AQ-002 is bound to WG-02, and the "Hazard Rectification Completion Log" is set as compliance evidence.

[0024] S3. Intelligent verification and optimization of mapping relationships. For example... Figure 5 As shown, through three verification units—"completeness, consistency, and rationality"—the system addresses three major issues that may exist in the initial mapping relationship: "compliance blind spots, logical conflicts, and infeasibility of execution." This ensures the completeness, consistency, and rationality of the mapping relationship, providing a reliable data foundation for subsequent dynamic updates and visualization applications. Completeness Verification: The system traverses the regulatory database and identifies an unmapped compliance requirement in the "Special Equipment Safety Law"—"elevator maintenance once per month"—marked as a compliance blind spot and pushed to the compliance department to supplement the "monthly elevator maintenance" work package. Consistency Verification: No compliance requirement conflicts are found. The rationality verification shows that the resource configuration of WG-01 (1 safety officer, 2 days for investigation) meets the execution conditions.

[0025] S4. Dynamic Update and Adaptation of Mapping Relationships. Upon monitoring the revision of the "Production Safety Law," a new compliance requirement (AQ-003) was added: "Conduct one emergency drill per quarter." The scope of impact was automatically analyzed; if no existing work package was found, the compliance department was prompted to add a "Quarterly Emergency Drill" work package (WG-03), and a two-way mapping between AQ-003 and WG-03 was completed.

[0026] S5. Visualization and Application of Mapping Relationships. A mapping map is generated, and management can query that the work package corresponding to AQ-001 is WG-01, as well as the deliverables of WG-01. When executing WG-01, the system verifies whether the investigation report meets the requirements of AQ-001. If it does not cover the entire park area, an early warning is triggered, prompting the responsible person to conduct supplementary investigations.

[0027] Example 2: Hardware Deployment of a Regulation-Work Package Bidirectional Association and Dynamic Mapping System The hardware deployment of this system adopts a distributed architecture, including: Server layer: Deploy 2 application servers (CPU: Intel Xeon Gold 6326, memory: 64G) to run various functional modules, and 1 database server (CPU: Intel Xeon Gold 6348, memory: 128G, hard disk: 10TSSD) to store data; Terminal layer: Compliance management personnel and those responsible for work packages access the system via computers, mobile phones, and other terminals to complete operations such as regulation decomposition, mapping adjustment, and execution monitoring; Network layer: It adopts the enterprise intranet + dedicated line approach to ensure data transmission security, and at the same time connects to the API interface of the official regulatory release platform to realize dynamic updates of regulations.

Claims

1. A method for bidirectional association and dynamic mapping of regulations and work packages, characterized in that, Includes the following steps: S1: Construct a standardized regulatory library and a work package attribute library; the regulatory library contains finely broken down compliance requirements, and the work package attribute library contains the basic attributes, execution attributes, and management attributes of the work package; S2: Implement a forward mapping between compliance requirements and work packages based on a mapping matching model, generating a forward mapping relationship table; simultaneously, bind compliance basis and compliance evidence to the work package, generating a reverse traceability relationship table; S3: Perform completeness, consistency, and reasonableness checks on the mapping relationship, identify and handle compliance blind spots and mapping conflicts; S4: Monitor regulatory changes, automatically analyze the scope of impact, reconstruct the mapping relationship, and push update notifications; S5: Generate a mapping relationship graph, monitor compliance during the execution of work packages, and create a compliance execution ledger.

2. The method according to claim 1, characterized in that, In step S1, the breakdown of the compliance requirements points uses NLP algorithms combined with manual verification, and the regulatory database establishes a dynamic update mechanism and connects to official regulatory release channels.

3. The method according to claim 1, characterized in that, In step S2, the mapping matching model uses a cosine similarity algorithm combined with a business rule engine to calculate the matching degree between compliance requirement points and work packages, and completes the positive mapping when the matching degree threshold is set to ≥85%.

4. The method according to claim 1, characterized in that, In step S3, the integrity check is used to identify compliance requirement points that are not mapped to the work package and mark them as compliance blind spots; the consistency check is combined with the regulatory priority determination conflict resolution; and the reasonableness check is combined with the work package resource configuration check to verify the feasibility of execution.

5. The method according to claim 1, characterized in that, In step S4, the monitoring of regulatory changes includes the revision, addition, and repeal of regulations, and the analysis of the scope of impact identifies the affected work packages based on a positive mapping table.

6. A bidirectional association and dynamic mapping system for regulations and work packages, characterized in that, include: The system comprises a regulatory management module, a work package management module, a two-way mapping module, an intelligent verification module, a dynamic update module, a visualization and application module, and a storage module. The regulatory management module is used for regulatory data collection, breakdown, and dynamic updating. The two-way mapping module is used to realize the forward mapping and reverse tracing of compliance requirements and work packages. The dynamic update module is used to reconstruct the mapping relationship after regulatory changes. The intelligent verification module is used to verify the completeness, consistency, and rationality of the mapping relationship.

7. The system according to claim 6, characterized in that, The regulatory management module includes a regulatory library, a compliance requirement point breakdown unit, and a regulatory change monitoring unit; the work package management module includes a work package attribute library and a work package execution monitoring unit.

8. The system according to claim 6, characterized in that, The visualization and application module includes a mapping graph display unit and an early warning unit. The early warning unit is used to trigger an early warning when the execution of a work package is non-compliant.

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