System and method for generating bid inviting file model based on structured editing
By transforming tender documents into a structured data model and introducing it into a rules engine, the problems of low efficiency in tender document preparation, difficulty in ensuring logical consistency, and insufficient compliance in existing technologies are solved. This achieves intelligent tender document generation, improves preparation efficiency and compliance, and accumulates reusable knowledge assets.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUANENG ZHAOCAI DIGITAL TECHNOLOGY CO LTD
- Filing Date
- 2025-12-22
- Publication Date
- 2026-05-15
AI Technical Summary
The current tender document preparation relies on unstructured manual editing, resulting in low preparation efficiency, difficulty in ensuring logical consistency between clauses, insufficient systematic compliance review, and difficulty in effectively accumulating and reusing professional knowledge.
The tender documents are transformed into a structured data model, and a rules engine is introduced to drive intelligent verification and correlation updates. User input is received through a structured editing interface, and logical consistency and compliance verification are performed based on a business rules knowledge base, automatically updating the content of relevant document units.
It improves the efficiency and standardization of tender document preparation, ensures logical consistency and compliance, and transforms it into calculable and reusable knowledge assets, thereby reducing preparation errors and legal risks.
Smart Images
Figure CN122047196A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of text processing technology, and more specifically, to a system and method for generating tender document templates based on structured editing. Background Technology
[0002] The preparation of tender documents has long relied on manual editing using general word processing software for unstructured content, a method inherently flawed. First, the process is inefficient and lacks standardization, requiring extensive repetitive copying, pasting, and modification, making it difficult to ensure consistent quality across different outputs. Second, the professional quality and compliance of the documents heavily depend on individual experience; the complex logical connections and data consistency between clauses, entirely verified manually, are prone to oversights and inconsistencies. Furthermore, the vast legal framework makes systematic compliance review difficult, resulting not only in lengthy preparation cycles but also the potential risk of tender failure or legal disputes.
[0003] Existing document template tools can only provide static, fill-in-the-blank frameworks, failing to understand and manage the deep business logic between clauses, and lacking intelligent verification and dynamic correlation capabilities. Therefore, they cannot fundamentally improve the intelligence and reliability of document preparation. At the same time, valuable clauses and experiences scattered in historical documents are difficult to effectively accumulate and reuse, failing to form iterative and computable organizational knowledge assets, thus hindering the improvement of the overall professional capabilities of bidding and procurement. Summary of the Invention
[0004] This application provides a structured editing-based system and method for generating tender document templates, addressing the core technical problems in existing tender document preparation techniques caused by reliance on unstructured manual editing, such as low preparation efficiency, difficulty in ensuring logical consistency between clauses, insufficient systematic compliance review, and difficulty in effectively accumulating and reusing professional knowledge. By transforming tender documents into a structured data model and introducing a rule engine to drive intelligent verification and correlation updates, this technical solution realizes the transformation of tender document preparation from experience-driven to data and rule-driven, achieving the technical effects of improving preparation efficiency and standardization, automatically ensuring logical consistency and compliance of documents, and transforming scattered experience into computable and reusable knowledge assets.
[0005] To achieve the above objectives, this invention provides a method for generating tender document templates based on structured editing, comprising:
[0006] Parse historical bidding documents, extract the document structure of the historical bidding documents, and obtain the structured template of the bidding documents;
[0007] Based on the structured template of the tender document, a structured editing interface is provided to the user, and the user's editing operations on the target document unit are received through the structured editing interface;
[0008] Analyzing the editing operation, the business rule knowledge base is invoked to perform logical consistency and compliance checks on the user input content;
[0009] Automatically update the content of other document units associated with the current editing unit based on the verification results;
[0010] Based on all the updated structured document units, a complete tender document template is generated through a document generation engine.
[0011] Furthermore, the historical bidding documents are parsed, and their document structure is extracted, specifically including:
[0012] The document analyzes and formats historical tender documents, identifying and extracting heading levels, numbering sequences, and text blocks.
[0013] Based on the identified levels and blocks, a tree structure model reflecting the document organization logic is constructed;
[0014] Based on the preset clause type classification rules, semantic annotation and classification are performed on each node in the tree structure model;
[0015] The labeled and categorized tree structure model, along with the logical relationships between each node, is stored as standardized structured template data.
[0016] Furthermore, a tree-structured model reflecting the document organization logic is constructed, specifically including:
[0017] The identified title levels and numbering sequences are used as the node basis of the tree structure to establish parent-child relationships and sibling ordering.
[0018] The extracted text content blocks are associated and bound with the corresponding title nodes, serving as the content attributes of the nodes;
[0019] Based on the numbering rules and hierarchical depth of the titles, the logical consistency of the parent-child relationship between nodes is automatically checked and corrected.
[0020] Based on cross-references in historical documents, hyperlinks are established between corresponding nodes in the tree structure model.
[0021] Furthermore, a structured editing interface is provided to the user based on the structured template of the tender document. This interface allows the user to perform editing operations on target document units, specifically including:
[0022] In response to the user's editing operation on the target document unit, the attribute definitions and constraints of the document unit to be edited are extracted from the structured template;
[0023] Based on the attribute definitions and constraints, a structured input form corresponding to the document unit to be edited is dynamically generated;
[0024] The structured input form receives user input, including text input, option selection, or parameter configuration.
[0025] During the process of receiving editing input, the input data is compared with the constraints in real time, and the format verification result is fed back immediately.
[0026] Furthermore, the attribute definitions and constraints of the document units to be edited are extracted from the structured template, specifically including:
[0027] The attribute definition of the document unit to be edited includes: the template format, type identifier, data structure definition, content field description, and default value configuration of the document unit;
[0028] The constraints of the document unit to be edited include: the valid range of field values, input format validation rules, business logic relationships, and compliance reference requirements.
[0029] Furthermore, receiving user editing input through the structured input form specifically includes:
[0030] When a user enters text, the system matches and provides input suggestions and auto-completion options in real time from a pre-set terminology database or historical clause database based on the type identifier of the current document unit and the content already entered.
[0031] When a user selects options or configures parameters, the system dynamically calculates and updates the valid value range, optional status, or default value of other related fields in the current form based on the association rules in the business rule knowledge base.
[0032] Real-time parsing of user-confirmed input, identifying and extracting key business data entities and numerical information from the content;
[0033] The extracted key business data and numerical information are automatically mapped and populated into the fields corresponding to other specified document units with logical relationships within the current structured template.
[0034] Furthermore, the editing operation is analyzed, and the business rule knowledge base is invoked to perform logical consistency and compliance checks on the user input content, specifically including:
[0035] Identify the target document unit to which the editing operation is performed and other document units associated with the target document unit;
[0036] Based on the attributes of the target document unit and associated document units, verification rules are matched from the business rule knowledge base;
[0037] Based on the aforementioned verification rules, logical consistency and compliance verification are performed on the content input during the editing operation and the current content of the associated document unit.
[0038] Generate a verification report that includes the verification results and correction suggestions.
[0039] Furthermore, logical consistency and compliance checks are performed on the content input during the editing operation and the current content of the associated document unit, specifically including:
[0040] The input format compliance check, single-clause business rule compliance check, and cross-clause logical consistency check are performed sequentially.
[0041] The verification rules and edited content are transformed into a set of facts and rules that the rule engine can process, and specific conflict determination results are generated through rule reasoning.
[0042] In the cross-clause logical consistency association verification, the contextual semantic information of the target document unit is combined with the application of dynamically associated contextual constraint rules to make scenario-based compliance judgments.
[0043] Furthermore, based on the verification results, the content of other document units associated with the current editing unit is automatically updated, specifically including:
[0044] Based on the logical relationships between document units defined in the structured template, determine one or more associated document units affected by the current editing unit;
[0045] When the verification result indicates that there is a forced association change, the content of the associated document unit is automatically calculated and updated according to the preset update strategy;
[0046] When the verification result indicates that there are suggested related adjustments, a change prompt is generated and the update is executed after user confirmation.
[0047] Record all automatically updated content, update basis, and execution time to form a complete and traceable update log.
[0048] To achieve the above objectives, the present invention also provides a tender document template generation system based on structured editing, comprising:
[0049] The document parsing module parses historical bidding documents, extracts the document structure of the historical bidding documents, and obtains the structured template of the bidding documents;
[0050] The document editing module provides a structured editing interface to the user based on the structured template of the tender document, and receives the user's editing operations on the target document unit through the structured editing interface;
[0051] The content verification module analyzes the editing operation and calls the business rule knowledge base to perform logical consistency and compliance verification on the user input content;
[0052] The content update module automatically updates the content of other document units associated with the current editing unit based on the verification results.
[0053] The document generation module, based on all the updated structured document units, synthesizes and generates a complete tender document template through the document generation engine.
[0054] Compared with existing technologies, the beneficial effects of this invention are as follows: by transforming unstructured tender documents into computable structured templates and realizing real-time intelligent verification and automatic updating of edited content based on a rule engine, the traditional compilation mode that relies on human experience and repetitive labor is changed. Thus, while ensuring the high compliance and logical consistency of tender documents, the compilation efficiency and standardization level are greatly improved. At the same time, the scattered business knowledge is precipitated into reusable digital assets, significantly reducing compilation errors and legal risks. Attached Figure Description
[0055] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:
[0056] Figure 1 A flowchart illustrating the method for generating a tender document template based on structured editing in an embodiment of the present invention is shown.
[0057] Figure 2 A schematic diagram of the structure of the tender document template generation system based on structured editing in an embodiment of the present invention is shown. Detailed Implementation
[0058] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.
[0059] In the description of this application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application.
[0060] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this application, unless otherwise stated, "a plurality of" means two or more.
[0061] In the description of this application, it should be noted that, unless otherwise expressly specified and limited, the terms "installation," "connection," and "linking" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection between two components. Those skilled in the art can understand the specific meaning of the above terms in this application based on the specific circumstances.
[0062] The following is a description of preferred embodiments of the present invention in conjunction with the accompanying drawings.
[0063] like Figure 1 As shown, embodiments of the present invention disclose a method for generating tender document templates based on structured editing, including:
[0064] S110: Parse historical bidding documents, extract the document structure of the historical bidding documents, and obtain the structured template of the bidding documents;
[0065] In some embodiments of the present invention, parsing historical bidding documents and extracting the document structure of the historical bidding documents specifically includes:
[0066] The document analyzes and formats historical tender documents, identifying and extracting heading levels, numbering sequences, and text blocks.
[0067] Based on the identified levels and blocks, a tree structure model reflecting the document organization logic is constructed;
[0068] Based on the preset clause type classification rules, semantic annotation and classification are performed on each node in the tree structure model;
[0069] The labeled and categorized tree structure model, along with the logical relationships between each node, is stored as standardized structured template data.
[0070] In this embodiment, the preset clause type classification rules are built based on the bidding and procurement legal system and business practices, forming a multi-level classification label system covering major dimensions such as qualification conditions, technical requirements, commercial terms, review methods, and contract conditions. This rule base defines corresponding keyword features, contextual patterns, and typical sentence templates for each category, serving as the system's criteria for automated semantic recognition and accurate classification of tree-like nodes.
[0071] In this embodiment, a tree-structured model reflecting the document organization logic is constructed, specifically including:
[0072] The identified title levels and numbering sequences are used as the node basis of the tree structure to establish parent-child relationships and sibling ordering.
[0073] The extracted text content blocks are associated and bound with the corresponding title nodes, serving as the content attributes of the nodes;
[0074] Based on the numbering rules and hierarchical depth of the titles, the logical consistency of the parent-child relationship between nodes is automatically checked and corrected.
[0075] Based on cross-references in historical documents, hyperlinks are established between corresponding nodes in the tree structure model.
[0076] In this embodiment, the format parsing specifically includes: integrating multiple document parsing engines to uniformly parse historical tender documents stored in different formats. For DOCX format files, a parser based on the OOXML standard is called to extract style sequences and paragraph structures from the document object model. For PDF format files, a hybrid method based on character position and visual block analysis is used to reconstruct the document's logical hierarchy. During the parsing process, the system comprehensively utilizes regular expression pattern matching, layout feature recognition, and syntactic rule analysis to accurately identify and extract multi-level headings and their hierarchical relationships and continuous numbering sequences in the document. Based on paragraph semantic integrity and format boundary judgment rules, the main text content belonging to each heading is divided into independent content blocks, thereby providing a standardized data foundation for the subsequent construction of a structured document model.
[0077] In this embodiment, semantic annotation and classification of each node in the tree structure model specifically includes: loading a multi-level classification system and keyword library in the bidding field, performing semantic vector analysis and rule matching on the node text simultaneously, determining its clause category and subclass through an integrated classification model, and linking it with the domain knowledge graph to enrich semantic tags; the system generates confidence assessments for the automatic annotation results and provides a manual review interface for nodes with low confidence, and the corrected results are used to continuously optimize the classification model.
[0078] The beneficial effects of the above solution are as follows: through intelligent parsing and multimodal semantic analysis fused by multiple engines, unstructured historical bidding documents are automatically transformed into structured knowledge templates with complete hierarchical relationships, semantic classifications and logical connections. This not only realizes the standardization and computable reconstruction of bidding document data, but also provides a precise and reliable data foundation for subsequent intelligent editing, consistency verification and automated generation, thereby significantly improving the automation level, accuracy and knowledge reuse capability of template construction.
[0079] S120: Provide a structured editing interface to the user based on the structured template of the tender document, and receive the user's editing operations on the target document unit through the structured editing interface;
[0080] In some embodiments of this application, a structured editing interface is provided to the user based on the structured template of the tender document. The user's editing operations on target document units are received through this structured editing interface, specifically including:
[0081] In response to the user's editing operation on the target document unit, the attribute definitions and constraints of the document unit to be edited are extracted from the structured template;
[0082] Based on the attribute definitions and constraints, a structured input form corresponding to the document unit to be edited is dynamically generated;
[0083] The structured input form receives user input, including text input, option selection, or parameter configuration.
[0084] During the process of receiving editing input, the input data is compared with the constraints in real time, and the format verification result is fed back immediately.
[0085] In this embodiment, the attribute definitions and constraints of the document units to be edited are extracted from the structured template, specifically including:
[0086] The attribute definition of the document unit to be edited includes: the template format, type identifier, data structure definition, content field description, and default value configuration of the document unit;
[0087] The constraints of the document unit to be edited include: the valid range of field values, input format validation rules, business logic relationships, and compliance reference requirements.
[0088] In this embodiment, receiving user editing input through the structured input form specifically includes:
[0089] When a user enters text, the system matches and provides input suggestions and auto-completion options in real time from a pre-set terminology database or historical clause database based on the type identifier of the current document unit and the content already entered.
[0090] When a user selects options or configures parameters, the system dynamically calculates and updates the valid value range, optional status, or default value of other related fields in the current form based on the association rules in the business rule knowledge base.
[0091] Real-time parsing of user-confirmed input, identifying and extracting key business data entities and numerical information from the content;
[0092] The extracted key business data and numerical information are automatically mapped and populated into the fields corresponding to other specified document units with logical relationships within the current structured template.
[0093] In this embodiment, the input data is compared with the constraints in real time, and the format verification result is fed back immediately. Specifically, this includes: listening to the value change event of the form control and triggering the verification process using a debouncing strategy.
[0094] For format and range constraints, the front-end validation function is called for real-time validation. If the validation fails, visual feedback is provided by modifying the component style and adding error messages.
[0095] For complex validations involving business logic or compliance references, the current input context is sent to the server-side rules engine for processing via an asynchronous request, and the returned validation results and suggested corrections are dynamically updated to the user interface.
[0096] In this embodiment, the content that the user has confirmed to input is parsed in real time, specifically including: loading a predefined entity recognition rule template and the corresponding NER model according to the type identifier of the currently edited document unit;
[0097] After segmenting and tagging the input text, the system simultaneously performs precise matching based on regular rules and semantic entity recognition based on deep learning models to extract structured data items including but not limited to monetary values, dates and times, ratio parameters, and standard codes.
[0098] The system assigns a type label, confidence level, and location information in the original text to each identified data item, forming a standardized set of data objects that can be processed later.
[0099] The beneficial effects of the above solution are as follows: By dynamically generating intelligent editing forms that are deeply integrated with business logic, and integrating real-time front-end validation with asynchronous complex validation by the back-end rule engine, real-time quality control of user input is achieved across the entire process and at multiple levels. At the same time, by using entity recognition technology based on hybrid rules to automatically extract key business data from the input content and drive intelligent linkage filling across fields and document units, the efficiency and smoothness of bidding document editing are significantly improved, while ensuring the accuracy, format standardization, and consistency of business logic of data input. This fundamentally reduces the risk of content errors and inconsistencies caused by human negligence.
[0100] S130: Analyze the editing operation and call the business rule knowledge base to perform logical consistency and compliance verification on the user input content;
[0101] In some embodiments of this application, the editing operation is analyzed, and a business rule knowledge base is invoked to perform logical consistency and compliance checks on the user input content, specifically including:
[0102] Identify the target document unit to which the editing operation is performed and other document units associated with the target document unit;
[0103] Based on the attributes of the target document unit and associated document units, verification rules are matched from the business rule knowledge base;
[0104] Based on the aforementioned verification rules, logical consistency and compliance verification are performed on the content input during the editing operation and the current content of the associated document unit.
[0105] Generate a verification report that includes the verification results and correction suggestions.
[0106] In this embodiment, logical consistency and compliance checks are performed on the content input during the editing operation and the current content of the associated document unit, specifically including:
[0107] The input format compliance check, single-clause business rule compliance check, and cross-clause logical consistency check are performed sequentially.
[0108] The verification rules and edited content are transformed into a set of facts and rules that the rule engine can process, and specific conflict determination results are generated through rule reasoning.
[0109] In the cross-clause logical consistency association verification, the contextual semantic information of the target document unit is combined with the application of dynamically associated contextual constraint rules to make scenario-based compliance judgments.
[0110] The beneficial effects of the above solution are as follows: by constructing a structured business rule knowledge base and realizing intelligent matching and dynamic loading of rules based on the context attributes of target document units and their related units, and then adopting a hierarchical and progressive verification strategy and rule reasoning engine, the solution systematically completes a comprehensive automated review from basic format to complex business logic. This ensures the legality and compliance of the tender document content while significantly improving the depth and accuracy of the verification of logical consistency between clauses, effectively preventing potential business conflicts and legal risks, and transforming the traditional review model that relies on human experience into an efficient, accurate and traceable intelligent quality control process.
[0111] S140: Automatically update the content of other document units associated with the current editing unit based on the verification results;
[0112] In some embodiments of this application, the content of other document units associated with the current editing unit is automatically updated based on the verification result, specifically including:
[0113] Based on the logical relationships between document units defined in the structured template, determine one or more associated document units affected by the current editing unit;
[0114] When the verification result indicates that there is a forced association change, the content of the associated document unit is automatically calculated and updated according to the preset update strategy;
[0115] When the verification result indicates that there are suggested related adjustments, a change prompt is generated and the update is executed after user confirmation.
[0116] Record all automatically updated content, update basis, and execution time to form a complete and traceable update log.
[0117] In this embodiment, the logical relationship between document units refers to specific types of constraints and propagation paths such as data dependency, content derivation, conditional mutual exclusion, or reference synchronization between document units.
[0118] In this embodiment, the preset update strategy includes a processor library bound to the association type, where each processor encapsulates specific content generation or modification logic. When an update is triggered, the system calls the corresponding processor according to the association type. For data-dependent associations, the processor executes predefined mathematical formulas or business rules to calculate and generate new values. For logical deduction associations, the processor retrieves and populates standard text from a preset clause mapping table or knowledge graph based on the current edit value. For content-synchronous associations, the processor directly copies or adapts the content of the source unit to the target unit. All strategy execution follows preset priority and conflict arbitration rules to ensure the determinism and business rationality of the update results.
[0119] The beneficial effects of the above solution are as follows: by defining refined association types and corresponding intelligent update processors, and introducing a dual-channel update mechanism based on verification results (forced and suggested), automatic updates triggered by document content modifications are achieved. This ensures high data consistency and business logic self-consistency among the various components of the tender document, while significantly reducing the workload of manual synchronous verification, effectively avoiding contextual contradictions caused by missed modifications, and providing reliable data support for document version management and audit traceability through complete update logs.
[0120] S150: Based on all the updated structured document units, a complete tender document template is generated through a document generation engine.
[0121] In some embodiments of this application, the synthesis and generation of a complete tender document template specifically includes: the system first serializes and arranges all structured document units according to the overall document style specifications and layout rules defined in the structured template, determining their final output order and hierarchical relationship; then, it calls the document generation engine to merge and render the arranged structured data with the preset document style template, and the engine automatically applies the corresponding text format, paragraph style, header and footer, and numbering system according to the semantic type tags of each unit; for complex units containing table and chart references, the engine dynamically generates Word or PDF format elements that conform to the specifications based on their structured description; finally, the engine performs integrity verification to ensure that all required units are in place and internal cross-references are correct, generating a standardized tender document template that is formatted correctly, complete in content, and ready for direct delivery.
[0122] The beneficial effects of the above solution are as follows: by intelligently integrating and rendering fully structured document data with style templates, it realizes one-click automatic synthesis from discrete data units into highly standardized standard documents that can be directly output. This not only ensures the strict uniformity and professional presentation of the final tender documents in terms of format, but also completely eliminates missing content or citation errors through the integrity verification built into the engine. This frees the final stage of document preparation from tedious format adjustment and manual verification, thereby improving the efficiency, quality and reliability of the output.
[0123] To further illustrate the technical concept of this invention, the technical solution of this invention will now be described in conjunction with specific application scenarios.
[0124] Correspondingly, such as Figure 2 As shown, this application also provides a tender document template generation system based on structured editing, including:
[0125] The document parsing module parses historical bidding documents, extracts the document structure of the historical bidding documents, and obtains the structured template of the bidding documents;
[0126] The document editing module provides a structured editing interface to the user based on the structured template of the tender document, and receives the user's editing operations on the target document unit through the structured editing interface;
[0127] The content verification module analyzes the editing operation and calls the business rule knowledge base to perform logical consistency and compliance verification on the user input content;
[0128] The content update module automatically updates the content of other document units associated with the current editing unit based on the verification results.
[0129] The document generation module, based on all the updated structured document units, synthesizes and generates a complete tender document template through the document generation engine.
[0130] In the description of the above embodiments, specific features, structures, materials, or characteristics may be combined in any suitable manner in one or more embodiments or examples.
[0131] Although the invention has been described above with reference to embodiments, various modifications can be made and components can be replaced with equivalents without departing from the scope of the invention. In particular, as long as there is no structural conflict, the features in the embodiments disclosed in this invention can be combined with each other in any way. The fact that not all of these combinations are described in this specification is merely for the sake of brevity and resource conservation.
[0132] It will be understood by those skilled in the art that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.
Claims
1. A method for generating tender document templates based on structured editing, characterized in that, include: Parse historical bidding documents, extract the document structure of the historical bidding documents, and obtain the structured template of the bidding documents; Based on the structured template of the tender document, a structured editing interface is provided to the user, and the user's editing operations on the target document unit are received through the structured editing interface; Analyzing the editing operation, the business rule knowledge base is invoked to perform logical consistency and compliance checks on the user input content; Automatically update the content of other document units associated with the current editing unit based on the verification results; Based on all the updated structured document units, a complete tender document template is generated through a document generation engine.
2. The method for generating a tender document template based on structured editing according to claim 1, characterized in that, Parse historical bidding documents and extract their document structure, specifically including: The document analyzes and formats historical tender documents, identifying and extracting heading levels, numbering sequences, and text blocks. Based on the identified levels and blocks, a tree structure model reflecting the document organization logic is constructed; Based on the preset clause type classification rules, semantic annotation and classification are performed on each node in the tree structure model; The labeled and categorized tree structure model, along with the logical relationships between each node, is stored as standardized structured template data.
3. The method for generating tender document templates based on structured editing according to claim 2, characterized in that, Constructing a tree-structured model that reflects the document's organizational logic, specifically including: The identified title levels and numbering sequences are used as the node basis of the tree structure to establish parent-child relationships and sibling ordering. The extracted text content blocks are associated and bound with the corresponding title nodes, serving as the content attributes of the nodes; Based on the numbering rules and hierarchical depth of the titles, the logical consistency of the parent-child relationship between nodes is automatically checked and corrected. Based on cross-references in historical documents, hyperlinks are established between corresponding nodes in the tree structure model.
4. The method for generating a tender document template based on structured editing according to claim 1, characterized in that, Based on the structured template of the tender document, a structured editing interface is provided to the user. This interface allows the user to perform editing operations on target document units, specifically including: In response to the user's editing operation on the target document unit, the attribute definitions and constraints of the document unit to be edited are extracted from the structured template; Based on the attribute definitions and constraints, a structured input form corresponding to the document unit to be edited is dynamically generated; The structured input form receives user input, including text input, option selection, or parameter configuration. During the process of receiving editing input, the input data is compared with the constraints in real time, and the format verification result is fed back immediately.
5. The method for generating tender document templates based on structured editing according to claim 4, characterized in that, Extracting the attribute definitions and constraints of the document units to be edited from the structured template, specifically including: The attribute definition of the document unit to be edited includes: the template format, type identifier, data structure definition, content field description, and default value configuration of the document unit; The constraints of the document unit to be edited include: the valid range of field values, input format validation rules, business logic relationships, and compliance reference requirements.
6. The method for generating tender document templates based on structured editing according to claim 4, characterized in that, Receiving user edit input through the structured input form specifically includes: When a user enters text, the system matches and provides input suggestions and auto-completion options in real time from a pre-set terminology database or historical clause database based on the type identifier of the current document unit and the content already entered. When a user selects options or configures parameters, the system dynamically calculates and updates the valid value range, optional status, or default value of other related fields in the current form based on the association rules in the business rule knowledge base. Real-time parsing of user-confirmed input, identifying and extracting key business data entities and numerical information from the content; The extracted key business data and numerical information are automatically mapped and populated into the fields corresponding to other specified document units with logical relationships within the current structured template.
7. The method for generating a tender document template based on structured editing according to claim 1, characterized in that, Analyzing the editing operation, the business rule knowledge base is invoked to perform logical consistency and compliance checks on the user input, specifically including: Identify the target document unit to which the editing operation is performed and other document units associated with the target document unit; Based on the attributes of the target document unit and associated document units, verification rules are matched from the business rule knowledge base; Based on the aforementioned verification rules, logical consistency and compliance verification are performed on the content input during the editing operation and the current content of the associated document unit. Generate a verification report that includes the verification results and correction suggestions.
8. The method for generating a tender document template based on structured editing according to claim 7, characterized in that, The logical consistency and compliance verification of the content input in the editing operation and the current content of the associated document unit are performed, specifically including: The input format compliance check, single-clause business rule compliance check, and cross-clause logical consistency check are performed sequentially. The verification rules and edited content are transformed into a set of facts and rules that the rule engine can process, and specific conflict determination results are generated through rule reasoning. In the cross-clause logical consistency association verification, the contextual semantic information of the target document unit is combined with the application of dynamically associated contextual constraint rules to make scenario-based compliance judgments.
9. The method for generating a tender document template based on structured editing according to claim 1, characterized in that, The content of other document units associated with the current editing unit is automatically updated based on the verification results, specifically including: Based on the logical relationships between document units defined in the structured template, determine one or more associated document units affected by the current editing unit; When the verification result indicates that there is a forced association change, the content of the associated document unit is automatically calculated and updated according to the preset update strategy; When the verification result indicates that there are suggested related adjustments, a change prompt is generated and the update is executed after user confirmation. Record all automatically updated content, update basis, and execution time to form a complete and traceable update log.
10. A tender document template generation system based on structured editing, applied to the tender document template generation method based on structured editing as described in any one of claims 1-9, characterized in that, include: The document parsing module parses historical bidding documents, extracts the document structure of the historical bidding documents, and obtains the structured template of the bidding documents; The document editing module provides a structured editing interface to the user based on the structured template of the tender document, and receives the user's editing operations on the target document unit through the structured editing interface; The content verification module analyzes the editing operation and calls the business rule knowledge base to perform logical consistency and compliance verification on the user input content; The content update module automatically updates the content of other document units associated with the current editing unit based on the verification results. The document generation module, based on all the updated structured document units, synthesizes and generates a complete tender document template through the document generation engine.