Temporary wharf special construction scheme intelligent generation method based on multi-field knowledge base

Abstract

The invention discloses a temporary wharf special construction scheme intelligent generation method based on a multi-field knowledge base. The method comprises the steps that 1, the specific name of a temporary wharf special construction scheme is input; 2, a qwen-32B large model, a standard specification knowledge base and a design file knowledge base are utilized to automatically generate compilation basis chapters; step 3, generating project general situation chapters by using the qwen-32B large model and the design file knowledge base; and 4, generating a construction plan chapter by using the qwen-32B large model and the design file knowledge base. 5, designing a file knowledge base by utilizing the qwen-32B large model and the construction process knowledge base, and generating construction process chapters; step 6, generating guarantee measure chapters by utilizing the qwen-32B large model, the construction process knowledge base, the design file knowledge base and the basic guarantee knowledge base; and step 7, generating acceptance requirement chapters by using the qwen-32B large model and the design file knowledge base. And the problems in a special construction scheme compilation process are solved.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of intelligent construction scheme generation, and in particular to an intelligent temporary wharf special construction scheme generation method based on a multi-field knowledge base. BACKGROUND

[0002] With the continuous expansion and increasing complexity of construction projects, the traditional construction scheme preparation and auditing method has been difficult to meet the current demand. At present, the preparation of special construction schemes mainly relies on expert experience and requires engineers to manually write, which not only takes a long time of 7-15 days, but also is prone to data errors and specification reference lag [1][2]. In addition, the data involved in the construction scheme is often scattered in CAD, documents and databases, and manual integration of these information is prone to errors, resulting in an error rate of more than 18% [3]. At the same time, there is a split between drawings and scheme descriptions, and the traditional method cannot automatically parse drawings to generate structured technical descriptions, and semantic consistency is difficult to guarantee [4].

[0003] These problems have caused many adverse effects. First, the traditional scheme preparation method is inefficient and difficult to meet the growing construction demand; second, since the quality and safety of the scheme cannot be guaranteed, more than 90% of engineering accidents are caused by scheme calculation errors or specification reference lag [3][2]; finally, the cost of cross-professional collaboration is high, and effective integration of multi-field parameters is difficult to achieve [3][5]. Especially in dangerous engineering construction, the scheme generation time is too long (such as deep foundation pit support scheme from 72 hours to 4 hours), which increases the construction risk [6].

[0004] The following disadvantages exist in particular: 1. The traditional special construction scheme preparation method highly depends on expert experience, requires engineers to manually write, takes a long time of 7-15 days, and is prone to data errors and specification reference lag, which seriously affects the quality and safety of the scheme [1][3].

[0005] 2. The data in the construction scheme is often scattered in CAD, documents and databases, and manual integration of these information is prone to errors, resulting in an error rate of more than 18%. At the same time, there is a split between drawings and scheme descriptions, and the traditional method cannot automatically parse drawings to generate structured technical descriptions, and semantic consistency is difficult to guarantee [3][4].

[0006] 3. In existing technologies, the cost of cross-professional collaboration is high, and effective integration of multi-field parameters is difficult to achieve, affecting the comprehensiveness and accuracy of the scheme [3][2].

[0007] 4. In dangerous engineering construction, the scheme generation time is too long (such as deep foundation pit support scheme from 72 hours to 4 hours), which increases the construction risk and is difficult to meet the timeliness requirement [3][6].

[0008] 5. Existing intelligent solutions still need improvement in the construction of knowledge graphs, especially in the expression of entities, attributes and relationships and the ability to acquire semantics. It is difficult to achieve a comprehensive evaluation and recommendation of professional solutions [3][4]. Therefore, an intelligent solution that can solve the above problems is urgently needed. An ideal solution should be able to realize end-to-end conversion from drawings to structured descriptions, thereby improving the efficiency of solution generation; at the same time, it should also be able to establish a real-time tracking mechanism for standard versions to avoid standard lag; in addition, it is also necessary to solve the problem of ambiguity in professional terms and improve the accuracy of parameters and semantic consistency [7][8]. These improvements will help improve the quality, efficiency and safety of construction solutions and provide strong support for the smooth implementation of building engineering projects.

[0009] The existing patents cited above are as follows: [1] CN117350166A, A method and system for automatically generating building schemes based on NLP; [2] CN113850570A, A method for constructing an AI-based professional solution-assisted decision-making expert system; [3] CN118278891A, A smart review system for construction plans and its review method; [4] CN118411016A, A method for reviewing construction plans in the field of bridges based on large models and knowledge graphs; [5] CN116882038A, A mechanical and electrical construction method and system based on BIM technology; [6] CN119577908A, A digital 4D simulation method for construction organization; [7] CN120198930A, Intelligent Analysis and Evaluation System for Substation Engineering Construction Drawings Based on Image Recognition; [8] CN119323300A, A multi-model management system for building construction schemes and its method; Regarding the issues of low efficiency in generating specialized construction plans, poor parameter accuracy, outdated standard references, and high costs of cross-disciplinary collaboration, the aforementioned existing invention patents elaborate on these points as follows: For example, CN113850570A discloses a method for constructing an AI-based expert system for assisting decision-making with professional solutions. This method involves steps such as database construction, data structure establishment, knowledge graph construction, intelligent template matching, solution conformity assessment, and knowledge base retrieval. Operators can input keywords, and the system can automatically generate targeted professional solutions that meet the requirements of standardized documents. However, this method still has shortcomings in the construction of professional knowledge graphs and evaluation systems, making it difficult to achieve comprehensive evaluation and recommendation of professional solutions.

[0010] CN118411016A discloses a method for reviewing bridge construction plans based on a large model and knowledge graph. This method eliminates the need for a complex and cumbersome rule base. Leveraging the powerful generalization capabilities of a large language model and the structured knowledge representation and semantic acquisition capabilities of a knowledge graph, it achieves entity identification, relation extraction, graph construction, and fine-tuning of the large-scale language model for bridge engineering construction plans and specifications. However, this method still needs improvement in knowledge graph construction, particularly in the representation and semantic acquisition capabilities of entities, attributes, and relations. Summary of the Invention

[0011] Existing technologies suffer from problems such as low efficiency, fragmented data, outdated standard references, and high costs associated with cross-disciplinary collaboration due to reliance on expert experience in the preparation of specialized construction plans. Therefore, to address these issues, this invention provides an intelligent method for generating specialized construction plans for temporary wharves based on a multi-domain knowledge base.

[0012] The specific plan is as follows: A method for intelligently generating temporary wharf construction plans based on a multi-domain knowledge base includes the following steps: Step 1: Enter the specific name of the temporary wharf construction plan; for example, "Temporary Wharf Construction Plan for the Beijiang Waterway Expansion and Upgrade Extension Project". Step 2: Based on the scheme name, automatically generate the compilation basis chapters using the qwen-32B large model and standard specification knowledge base and design document knowledge base; Step 3: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the project overview section; Step 4: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the construction plan chapter.

[0013] Step 5: Based on the scheme name, use the qwen-32B large model and construction technology knowledge base and design document knowledge base to generate the construction technology chapter; Step 6: Based on the scheme name, use the qwen-32B large model and construction technology knowledge base, design document knowledge base, and basic support knowledge base to generate the guarantee measures chapter; Step 7: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the acceptance requirements section.

[0014] Furthermore, step 2 specifically includes: Step 201: Based on the scheme name, use the qwen-32B large model and standard specification knowledge base to automatically generate the referenced standard specification content; among them, referencing the "Waterway Engineering Quality Inspection Standard", "Waterway Engineering Surveying Specification", "Steel Structure Engineering Construction Quality Acceptance Standard", "Wharf Structure Construction Specification", "Waterway Engineering Steel Structure Construction Specification", "Waterway Engineering Construction Safety Protection Technical Specification", and "Port Engineering Load Specification" according to business needs. Step 202: Based on the scheme name, use the qwen-32B large model and design document knowledge base to automatically generate referenced design documents, giving priority to the bidding documents, tender documents, and construction contracts related to the scheme.

[0015] Furthermore, in step 3, based on the retrieved design document knowledge base, the relevant content of the tender documents, bid documents, and construction contracts specifically includes: Step 301: Combine the five key elements of the construction overview prompts, including role setting, task objectives, background information, constraints, and output format, to generate a construction overview description; Step 302: Combine the construction requirement prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a construction requirement description. Step 303: Combine the technical assurance condition prompts, which include five key elements: character setting, task objective, background information, constraints, and output format, to generate a technical assurance condition description. Step 304: Combine the participating unit prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a description of the participating units.

[0016] Furthermore, step 4, based on the retrieved design document knowledge base containing relevant content such as bidding documents, tender documents, and construction contracts, specifically includes: Step 401: Combine the five elements of the construction schedule plan prompts, including role setting, task objectives, background information, constraints, and output format, to generate a construction schedule plan description; Step 402: Combine the five key elements of the equipment investment plan prompts, including role setting, task objectives, background information, constraints, and output format, to generate an equipment investment plan description; Step 403: Combine the material plan prompts, which include five key elements: character setting, task objectives, background information, constraints, and output format, to generate a material plan description.

[0017] Furthermore, in step 5, based on the standard process manuals, patented technical solutions, case studies, and technical parameters retrieved from the construction technology knowledge base, as well as the relevant content of bidding documents, tender documents, and construction contracts in the design document knowledge base, specifically including: Step 501: Combine the technical parameter prompts, which include five key elements: character setting, task objective, background information, constraints, and output format, to generate a technical parameter description. Step 502: Combine the construction process flow prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a construction process flow description. Step 503: Combine the construction method prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a construction method description. Step 504: Combine the operation requirements and inspection prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate operation requirements and inspection descriptions.

[0018] Furthermore, in step 6, based on the retrieved standard process manuals, patented technical solutions, case studies, and technical parameters in the construction technology knowledge base, as well as the relevant content of bidding documents, tender documents, and construction contracts in the design document knowledge base, and the relevant content of safety standards, environmental protection, and quality measures in the basic support knowledge base, specifically including: Step 601: Combine the five key elements of security assurance measures—role setting, task objective, background information, constraints, and output format—to generate a description of security assurance measures. Step 602: Combine the quality assurance measure prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a quality assurance measure description. Step 603: Combine the environmental assurance measures prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an environmental assurance measures description.

[0019] Furthermore, step 7, based on the retrieved tender documents, bid documents, and construction contract-related content, specifically includes: Step 701: Combine the acceptance content prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an acceptance content description. Step 702: Combine the acceptance criteria prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an acceptance criteria description.

[0020] Step 703: Combine the acceptance procedure prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an acceptance procedure description.

[0021] The beneficial effects of this invention are as follows: 1. This invention utilizes the qwen-32B large model and multiple knowledge bases such as standard specification knowledge base, design document knowledge base, and construction technology knowledge base to achieve intelligent generation of construction plans, avoiding the problems of low efficiency and easy error in traditional manual compilation methods, and significantly improving the generation efficiency of construction plans; 2. This invention organically integrates product technical parameters, historical case data, and other information in the construction plan, establishing a unified information retrieval mechanism, which greatly simplifies the information extraction process and improves the accuracy and efficiency of information retrieval; 3. By establishing a standardized template library and optimizing its structure and content, this invention improves the reusability of standardized templates in different engineering projects and reduces the initial cost and time of generating construction plans. Attached Figure Description

[0022] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0023] The present invention will be further illustrated below with reference to the accompanying drawings and specific embodiments. It should be understood that the following specific embodiments are for illustrative purposes only and are not intended to limit the scope of the invention.

[0024] As shown in the figure, this invention provides an intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base, comprising the following steps: Step 1: Enter the specific name of the temporary wharf construction plan. For example, "Temporary Wharf Construction Plan for the Beijiang Waterway Expansion and Upgrade Extension Project".

[0025] Step 2: Based on the scheme name, automatically generate the compilation basis chapters using the qwen-32B large model and standard specification knowledge base and design document knowledge base. Step 2 includes: Step 201: Based on the scheme name, automatically generate the referenced standard specifications using the qwen-32B large model and standard specification knowledge base. Among these, the following specifications will be referenced according to business needs: *Waterway Engineering Quality Inspection Standard*, *Waterway Engineering Surveying Specification*, *Steel Structure Engineering Construction Quality Acceptance Standard*, *Wharf Structure Construction Specification*, *Waterway Engineering Steel Structure Construction Specification*, *Waterway Engineering Construction Safety Protection Technical Specification*, and *Port Engineering Load Specification*. An example of the output is as follows: (1) Standard for Quality Inspection of Waterway Engineering (JTS 257-2008); (2) Specifications for Surveying Waterway Engineering (JTS 131-2012); (3) Standard for Acceptance of Construction Quality of Steel Structures (GB 50205-2020); (4) Construction Specifications for Wharf Structures (JTS 215-2018); (5) Code for Construction of Steel Structures in Water Transport Engineering (JTS203-2019).

[0026] Step 202: Based on the scheme name, use the qwen-32B large model and design document knowledge base to automatically generate referenced design documents, giving priority to bidding documents, tender documents, construction contracts, etc. related to the scheme.

[0027] Step 3: Based on the scheme name, utilize the qwen-32B large model and design document knowledge base to generate a project overview section. Step 3 includes: Step 301: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with the construction overview prompts including five key elements—role setting, task objectives, background information, constraints, and output format—generate a construction overview description. The prompts for the construction overview description are as follows: Role setting: Chief Engineer of the project.

[0028] Task objective: To write a construction overview of this project, clearly describing the core content, scale, location, and main characteristics of the project.

[0029] Background information: Generate chapter content based on the design documents.

[0030] Constraints: The overview should include the project location, structural form, main dimensions, functional purpose, and key quantities (such as the number of steel pipe piles and the volume of concrete).

[0031] Output format: A coherent text, not exceeding 200 words. It should include key information points such as "This project is located at...", "The main structure is...", "The function is...", and "The main engineering quantities include...".

[0032] Step 302: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with construction requirement prompts including five key elements—role setting, task objectives, background information, constraints, and output format—generate a construction requirement description. The prompts for the construction requirement description are as follows: Role: Project Manager.

[0033] Task objective: To clarify the construction requirements of this project, including core objectives such as quality, safety, schedule, and cost.

[0034] Background information: Construction contracts and tender documents have clear requirements for project quality (such as "qualified" or "excellent"), construction period (such as "30 calendar days"), and safety ("zero accidents").

[0035] Constraints: Specific contract terms must be quantified or cited; they are described in four sub-items: "Quality Requirements", "Safety Requirements", "Schedule Requirements", and "Cost Control Requirements".

[0036] Output format: Point-by-point discussion, with each point beginning with a bolded keyword “**”.

[0037] Step 303: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with the technical guarantee condition prompts including five key elements—role setting, task objectives, background information, constraints, and output format—generate a description of the technical guarantee conditions. The prompts for the technical guarantee conditions are as follows: Role setting: Chief Technology Officer or Senior Structural Engineer.

[0038] Task objective: Analyze and explain the technical assurance conditions required to achieve the construction requirements.

[0039] Background information: The project faces technical challenges such as tidal influences and complex geological conditions. The company possesses the corresponding technical capabilities, patented construction methods, and expert team.

[0040] Constraints: The conditions must be tailored to the characteristics of the project (such as tides and geology); you may mention the patented technologies to be used (such as "rapid construction technology for berthing steel structures"), expert support, and special materials or equipment guarantees.

[0041] Output format: First, summarize the main technical difficulties, and then explain the technical guarantee measures point by point.

[0042] Step 304: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with the participating unit prompts including five key elements—role setting, task objectives, background information, constraints, and output format—generate a description of the participating units. The participating unit prompts are as follows: Role setting: Project coordinator or data clerk.

[0043] Task objective: List the main participating units in this project and their roles.

[0044] Background information: Construction contracts and other documents clearly state the full names of the construction, design, construction, and supervision units.

[0045] Constraints: The name of the unit must be accurate and complete; the main responsibilities of each unit must be clearly defined.

[0046] Output format: Table format, containing four columns: “Participating Unit Category”, “Full Name of Unit”, “Project Leader”, and “Main Responsibilities”.

[0047] Step 4: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the construction plan section. Step 4 includes: Step 401: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with the construction schedule prompts including five key elements: role setting, task objectives, background information, constraints, and output format, generate a construction schedule description.

[0048] Step 402: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with the equipment investment plan prompts including five major elements: role setting, task objectives, background information, constraints, and output format, generate an equipment investment plan description.

[0049] Step 403: Based on the relevant content such as bidding documents, tender documents, and construction contracts retrieved from the design document knowledge base, and combined with material plan prompts including five key elements such as role setting, task objectives, background information, constraints, and output format, generate a material plan description.

[0050] Step 5: Based on the scheme name, utilize the qwen-32B large model and construction technology knowledge base, as well as the design document knowledge base, to generate a construction technology section. Step 5 includes: Step 501: Based on the standard process manuals, patented technical solutions, case studies, technical parameters, etc. in the retrieved construction technology knowledge base, as well as the relevant content such as bidding documents, tender documents, and construction contracts in the design document knowledge base, and combined with the technical parameter prompts including the five elements of role setting, task objectives, background information, constraints, and output format, generate a technical parameter description.

[0051] Step 502: Based on the standard process manuals, patented technical solutions, case studies, technical parameters, etc., retrieved from the construction technology knowledge base, and relevant content such as bidding documents, tender documents, and construction contracts from the design document knowledge base, and combined with construction process flow prompts including five key elements—role setting, task objectives, background information, constraints, and output format—generate a construction process flow description. The prompts for the construction process flow description are as follows: Role description: Senior construction technology manager with over 15 years of experience in hydraulic engineering construction.

[0052] Task objective: Generate a description of the construction process for a temporary dock.

[0053] Background information: The construction technology knowledge base includes standard procedures such as "rapid construction technology for berthing steel structures"; the construction of this wharf mainly includes surveying, pile foundation, superstructure and installation of ancillary facilities.

[0054] Constraints: The process description must follow the logical sequence of "construction preparation → ... → completion acceptance"; key processes (such as steel pipe pile driving and superstructure installation) must not be omitted; the characteristics of tidal operations (such as low water level construction windows) must be reflected.

[0055] Output format: A combination of flowcharts and text. First, draw the flowchart using Mermaid syntax, then provide brief textual descriptions of the key processes.

[0056] Step 503: Based on the standard process manuals, patented technical solutions, case studies, technical parameters, etc. in the retrieved construction technology knowledge base, as well as the relevant content such as bidding documents, tender documents, and construction contracts in the design document knowledge base, and combined with the construction method prompts including five elements: role setting, task objectives, background information, constraints, and output format, generate a construction method description.

[0057] Step 504: Based on the retrieved standard process manuals, patented technical solutions, case studies, technical parameters, etc. from the construction technology knowledge base, and relevant content such as bidding documents, tender documents, and construction contracts from the design document knowledge base, and combining the operation requirements and inspection prompts (including role setting, task objectives, background information, constraints, and output format), generate operation requirements and inspection descriptions. The prompts for the operation requirements and inspection descriptions are as follows: Role setting: Quality inspection engineer or safety director.

[0058] Task objective: To generate operational requirements and inspection standards for key processes.

[0059] Background information: The Standards and Specifications Knowledge Base contains documents such as the "Standards for Quality Inspection of Waterway Engineering" which provide detailed regulations for operation and inspection.

[0060] Constraints: Specific specification clauses must be cited; inspection standards should be quantified (e.g., "weld appearance quality: no cracks, no lack of fusion"); inspection methods and frequencies must be clearly defined (e.g., "100% inspection", "sampling inspection").

[0061] Output format: Listed by process point, each point includes four sub-items: "Process Name", "Operation Requirements", "Inspection Standards", and "Inspection Method".

[0062] Step 6: Based on the scheme name, utilize the qwen-32B large model and construction technology knowledge base, design document knowledge base, and foundation guarantee knowledge base to generate the guarantee measures section. Step 6 includes: Step 601: Based on the standard process manuals, patented technical solutions, case studies, technical parameters, etc. in the retrieved construction technology knowledge base, as well as the relevant content such as bidding documents, tender documents, and construction contracts in the design document knowledge base, and combined with the safety assurance measure prompts including the five elements of role setting, task objectives, background information, constraints, and output format, generate a description of safety assurance measures.

[0063] Step 602: Based on the standard process manuals, patented technical solutions, case studies, technical parameters, etc. in the retrieved construction technology knowledge base, as well as the relevant content such as bidding documents, tender documents, and construction contracts in the design document knowledge base, and combined with the quality assurance measure prompts including the five elements of role setting, task objectives, background information, constraints, and output format, generate a description of quality assurance measures.

[0064] Step 603: Based on the standard process manuals, patented technical solutions, case studies, technical parameters, etc. in the retrieved construction technology knowledge base, as well as the relevant content such as bidding documents, tender documents, and construction contracts in the design document knowledge base, and the relevant content such as safety standards, environmental protection and quality measures in the basic assurance knowledge base, and combined with the environmental assurance measure prompts including the five elements of role setting, task objectives, background information, constraints, and output format, generate an environmental assurance measure description.

[0065] Step 7: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the acceptance requirements section. Step 7 includes: Step 701: Based on the retrieved tender documents, bid documents, construction contracts, and other relevant content, and combined with the acceptance content prompts including five key elements such as role setting, task objectives, background information, constraints, and output format, generate an acceptance content description.

[0066] Step 702: Based on the retrieved tender documents, bid documents, construction contracts, and other relevant content, and combined with the acceptance standard prompts including five key elements such as role setting, task objectives, background information, constraints, and output format, generate an acceptance standard description.

[0067] Step 703: Based on the retrieved tender documents, bid documents, construction contracts, and other relevant content, and combined with the acceptance procedure prompts including five key elements such as role setting, task objectives, background information, constraints, and output format, generate an acceptance procedure description.

[0068] The above embodiments are merely typical illustrative methods of the present invention, and the scope of protection of the present invention is not limited thereto. All equivalent substitutions and improvements made under the concept of the present invention should fall within the scope of protection. It should be emphasized that any modifications or minor adjustments made by those skilled in the art without departing from the basic principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for intelligently generating temporary wharf construction plans based on a multi-domain knowledge base, characterized in that, Includes the following steps: Step 1: Enter the specific name of the temporary dock construction plan; Step 2: Based on the scheme name, automatically generate the compilation basis chapters using the qwen-32B large model and standard specification knowledge base and design document knowledge base; Step 3: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the project overview section; Step 4: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the construction plan chapter.

2. Step 5: Based on the scheme name, use the qwen-32B large model and construction technology knowledge base and design document knowledge base to generate the construction technology chapter; Step 6: Based on the scheme name, use the qwen-32B large model and construction technology knowledge base, design document knowledge base, and basic support knowledge base to generate the guarantee measures chapter; Step 7: Based on the scheme name, use the qwen-32B large model and design document knowledge base to generate the acceptance requirements section.

3. The intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base according to claim 1, characterized in that, Step 2 specifically includes: Step 201: Based on the scheme name, use the qwen-32B large model and standard specification knowledge base to automatically generate the referenced standard specification content; among them, referencing the "Waterway Engineering Quality Inspection Standard", "Waterway Engineering Surveying Specification", "Steel Structure Engineering Construction Quality Acceptance Standard", "Wharf Structure Construction Specification", "Waterway Engineering Steel Structure Construction Specification", "Waterway Engineering Construction Safety Protection Technical Specification", and "Port Engineering Load Specification" according to business needs. Step 202: Based on the scheme name, use the qwen-32B large model and design document knowledge base to automatically generate referenced design documents, giving priority to the bidding documents, tender documents, and construction contracts related to the scheme.

4. The intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base according to claim 1, characterized in that, Step 3, based on the retrieved design document knowledge base containing relevant content such as bidding documents, tender documents, and construction contracts, specifically includes: Step 301: Combine the five key elements of the construction overview prompts, including role setting, task objectives, background information, constraints, and output format, to generate a construction overview description; Step 302: Combine the construction requirement prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a construction requirement description. Step 303: Combine the technical assurance condition prompts, which include five key elements: character setting, task objective, background information, constraints, and output format, to generate a technical assurance condition description. Step 304: Combine the participating unit prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a description of the participating units.

5. The intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base according to claim 1, characterized in that, Step 4, based on the retrieved design document knowledge base containing relevant content such as bidding documents, tender documents, and construction contracts, specifically includes: Step 401: Combine the five elements of the construction schedule plan prompts, including role setting, task objectives, background information, constraints, and output format, to generate a construction schedule plan description; Step 402: Combine the five key elements of the equipment investment plan prompts, including role setting, task objectives, background information, constraints, and output format, to generate an equipment investment plan description; Step 403: Combine the material plan prompts, which include five key elements: character setting, task objectives, background information, constraints, and output format, to generate a material plan description.

6. The intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base according to claim 1, characterized in that, Step 5, based on the standard process manuals, patented technical solutions, case studies, and technical parameters retrieved from the construction technology knowledge base, as well as the relevant content of bidding documents, tender documents, and construction contracts in the design document knowledge base, specifically includes: Step 501: Combine the technical parameter prompts, which include five key elements: character setting, task objective, background information, constraints, and output format, to generate a technical parameter description. Step 502: Combine the construction process flow prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a construction process flow description. Step 503: Combine the construction method prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a construction method description. Step 504: Combine the operation requirements and inspection prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate operation requirements and inspection descriptions.

7. The intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base according to claim 1, characterized in that, In step 6, based on the retrieved construction technology knowledge base (including standard process manuals, patented technical solutions, case studies, and technical parameters), the design document knowledge base (including tender documents, bid documents, and construction contracts), and the basic support knowledge base (including safety standards, environmental protection, and quality measures), specifically including: Step 601: Combine the five key elements of security assurance measures—role setting, task objective, background information, constraints, and output format—to generate a description of security assurance measures. Step 602: Combine the quality assurance measure prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate a quality assurance measure description. Step 603: Combine the environmental assurance measures prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an environmental assurance measures description.

8. The intelligent generation method for temporary wharf construction plans based on a multi-domain knowledge base according to claim 1, characterized in that, Step 7, based on the retrieved tender documents, bid documents, and construction contract information, specifically includes: Step 701: Combine the acceptance content prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an acceptance content description. Step 702: Combine the acceptance criteria prompts, which include five key elements: character setting, task objectives, background information, constraints, and output format, to generate an acceptance criteria description. Step 703: Combine the acceptance procedure prompts, which include five key elements: role setting, task objectives, background information, constraints, and output format, to generate an acceptance procedure description.

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