Intelligent examination method and system for highway water transportation engineering construction scheme

Abstract

The invention discloses an intelligent review method and system for a highway water transportation engineering construction scheme, and relates to the technical field of intelligent review, and the method comprises the specific steps: database construction, construction scheme collection and preprocessing, intelligent review and risk assessment, review report generation, result feedback and model optimization. According to the method, the comprehensive database is constructed, the intelligent review model is constructed based on the AI technology, intelligent comparison analysis of the construction scheme is achieved, key information in the construction scheme is extracted and compared with structured standard specification data for analysis, and meanwhile, through the multi-dimensional risk quantitative evaluation model, the risk of the construction scheme is evaluated. The risk factors of the construction environment, the construction technology, the construction management and the economy are quantitatively scored, the total risk value is calculated, and the construction scheme review report is generated according to the comparison analysis result and the total risk value, so that the time consumption and errors of manual item-by-item review are avoided, the review efficiency is improved, and the result is objective and uniform.

Description

Technical Field

[0001] This invention relates to the field of intelligent review technology, specifically to an intelligent review method and system for highway and waterway engineering construction plans. Background Technology

[0002] In the field of highway and waterway engineering construction, the construction plan serves as the core guiding document for project implementation. Its scientific nature, compliance, and risk controllability directly affect the safety, quality, and progress of the project. With the continuous advancement of global infrastructure construction, highway and waterway engineering projects are not only expanding in scale but also significantly increasing in technical complexity. The geological conditions, climate environment, construction technology, and management requirements involved are becoming increasingly diversified. Against this backdrop, the construction plan needs to comprehensively consider multiple factors to ensure that all construction activities comply with industry standards and specifications while effectively addressing potential risks and guaranteeing the smooth implementation of the project.

[0003] However, traditional techniques for reviewing construction plans for highway and waterway engineering projects mainly rely on manual operation and experience-based judgment, which has many limitations. First, manual review is inefficient; when faced with large-scale and highly complex construction plans, the review cycle is long, making it difficult to meet the timeliness requirements of engineering construction. Second, manual review is easily affected by subjective factors; different reviewers may have different understandings of the same construction plan, leading to inconsistencies and uncertainties in the review results. Furthermore, traditional methods are unable to comprehensively and systematically identify potential risks in construction plans, especially complex risks involving multiple dimensions and cross-domains, such as construction environment, construction technology, construction management, and economic risks, making it difficult to meet the high efficiency and accuracy requirements for construction plan review in highway and waterway engineering construction. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of existing technologies and provide an intelligent review method and system for highway and waterway engineering construction plans. This invention constructs a comprehensive database (covering a standard specification database and a risk quantification index database) and builds an intelligent review model based on AI technology. This enables intelligent comparative analysis of construction plans. By extracting key information from the construction plan and comparing it with structured standard specification data, and through a multi-dimensional risk quantification assessment model, it quantifies and scores risk factors related to the construction environment, construction technology, construction management, and economy, calculates the overall risk value, and generates a construction plan review report based on the comparative analysis results and the overall risk value. This process avoids the time-consuming and error-prone manual item-by-item verification, improves review efficiency, and ensures objective and consistent results, effectively solving the problems of low efficiency and strong subjectivity in traditional methods.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: On one hand, a method for intelligent review of construction plans for highway and waterway engineering projects, the specific steps of which are as follows: Database construction: Construct a comprehensive database, which includes a standard specification database and a risk quantification indicator library; Construction plan acquisition and preprocessing: Obtain the construction plan to be reviewed and preprocess it, including text segmentation, semantic parsing, key information extraction and risk factor identification; Intelligent review and risk assessment: Based on AI, an intelligent review model is built. The pre-processed construction plan information is input into the intelligent review model and compared and analyzed with the data in the standard specification database. At the same time, a multi-dimensional risk quantification assessment model is called to quantify and score the identified risk elements based on the risk quantification index library and calculate the overall risk value. Generate a review report: Based on the comparative analysis results and the overall risk value, generate a construction plan review report. The review report includes compliant items, non-compliant items, rectification suggestions, and risk levels. Feedback and Model Optimization: The review report is fed back to the staff, and all data generated during the review process is stored in a comprehensive database. Based on this data, the intelligent review model and risk quantification assessment model are regularly optimized and updated.

[0006] Furthermore, in the construction of the database, the comprehensive database includes a standard and specification database and a risk quantification index database. By collecting industry standard and specification texts on highway and waterway engineering, covering aspects such as construction technology, safe operation, quality acceptance, and supervision process, the specification texts are structured, classified and labeled according to project type and specification category, forming structured data stored in the standard and specification database. At the same time, a multi-dimensional risk assessment system is established, including risk dimensions of construction environment, construction technology, construction management, and economy. The risk elements under each dimension are broken down, the quantitative standards of each risk element are clarified, and the weight of each risk dimension is calculated to form a multi-dimensional risk quantification assessment model, which is then stored in the risk quantification index database.

[0007] Furthermore, in the database construction, the weights of each risk dimension are calculated using the following formula: ,in, For the first The weights of each risk dimension, For the first The and the first The importance scale value compared to each risk dimension The total number of risk dimensions. The number of risk dimensions used for comparison. , For indexing.

[0008] Furthermore, in the aforementioned collection and preprocessing of the construction plan, the key information includes the project type, construction steps, technical parameters, and safety measures in the construction plan, and the risk factors include risk information related to the risk dimensions of construction environment, construction technology, construction management, and economy corresponding to the risk quantification index library in the construction plan. These include weather impact and geological compatibility risks in the construction environment dimension, technology application and process parameter risks in the construction technology dimension, qualification compliance and resource coordination risks in the construction management dimension, and price fluctuation and change cost risks in the economic dimension.

[0009] Furthermore, in the intelligent review and risk assessment, the pre-processed construction plan information is input into the intelligent review model. The intelligent review model calls the structured data in the standard specification database to compare and analyze the key information of the construction plan, and verifies whether the content of the construction plan meets the requirements of industry standards and specifications, including the compliance of construction steps, the compliance of technical parameters, and the completeness of safety measures, and obtains the comparison and analysis results. At the same time, it calls the multi-dimensional risk quantification assessment model, quantifies the identified risk elements based on the risk quantification index library, scores each risk element according to the quantification standards, and calculates the overall risk value of the construction plan.

[0010] Furthermore, in the intelligent review and risk assessment, the overall risk value of the construction plan is calculated using the following formula: ,in, This represents the overall risk value. For the first The weights of each risk dimension, For the first Under the first risk dimension The weight of each risk factor, For the first Under the first risk dimension The quantitative score of each risk element, The total number of risk dimensions. The number of risk elements under each risk dimension.

[0011] Furthermore, the generated review report includes compliance items, non-compliance items, rectification suggestions, and risk levels. The compliance items include specific clauses and contents of the construction plan that comply with the standards and specifications. The non-compliance items include the clause numbers that violate the standards and specifications, the non-compliant contents in the construction plan, and the specification requirements. The rectification suggestions are generated based on the non-compliance items. The risk level is calculated and divided based on the overall risk value to determine the degree of risk of the construction plan.

[0012] Furthermore, in the generated review report, the risk level is calculated and classified based on the overall risk value, and the calculation formula is as follows: ,in, Risk level, Low risk Medium risk High risk, This represents the overall risk value. This is the threshold between low and medium risk. This is the threshold between medium and high risk.

[0013] Furthermore, in the feedback results and model optimization, the review report is fed back to the staff. At the same time, all data generated during the review process, including the original construction plan, key information after preprocessing, risk factors, comparative analysis results, overall risk value and review report, are stored in a comprehensive database. This data is used to regularly optimize and update the intelligent review model and risk quantification assessment model, optimize the comparison logic of the intelligent review model, and adjust the weight of risk dimensions and the quantification standards of risk factors.

[0014] On the other hand, an intelligent review system for highway and waterway engineering construction plans is provided, the system comprising: Comprehensive Database Module: Constructs a comprehensive database, including a standard specification database and a risk quantification indicator library; Data Acquisition and Preprocessing Module: Acquires the construction plan to be reviewed and performs preprocessing operations on it, including text segmentation, semantic parsing, key information extraction and risk factor identification; Intelligent review and risk assessment module: Based on AI, an intelligent review model is built. The intelligent review model compares and analyzes the pre-processed construction plan information with the data in the standard specification database. At the same time, through a multi-dimensional risk quantification assessment model, the identified risk elements are quantified and scored based on the risk quantification index library to calculate the overall risk value. Review report generation module: Based on the comparative analysis results and overall risk value, generate a construction plan review report. The review report includes compliant items, non-compliant items, rectification suggestions, and risk level. Results Feedback and Model Optimization Module: The review report is fed back to the staff, and all data generated during the review process is stored in the comprehensive database. Based on this data, the intelligent review model and the multi-dimensional risk quantification assessment model are optimized and updated.

[0015] Compared with existing technologies, this intelligent review method and system for highway and waterway engineering construction plans has the following advantages: I. This invention constructs a comprehensive database (covering a standard specification database and a risk quantification index database) and builds an intelligent review model based on AI technology, realizing intelligent comparative analysis of construction plans. By extracting key information from the construction plan and comparing it with structured standard specification data, and through a multi-dimensional risk quantification assessment model, it quantifies and scores the risk factors of construction environment, construction technology, construction management, and economy, calculates the overall risk value, and generates a construction plan review report based on the comparative analysis results and the overall risk value. This process avoids the time-consuming and error-prone manual item-by-item verification, improves review efficiency, and provides objective and consistent results, effectively solving the problems of low efficiency and strong subjectivity of traditional methods.

[0016] Second, this invention establishes a multi-dimensional risk assessment system, refines the quantitative standards for risk elements, and uses an intelligent review model to compare and analyze construction plans with data in the standard specification database. By calculating the overall risk value, it generates a review report that includes compliance items, non-compliance items, rectification suggestions, and risk levels. This not only locates non-compliance items and identifies deviations in technical parameters, but also quantifies the degree of project risk through the overall risk value, providing a scientific basis for formulating rectification measures, facilitating adjustments to construction processes or strengthening safety measures, and significantly improving the safety level of the project.

[0017] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0019] Figure 1 A flowchart of an intelligent review method for highway and waterway engineering construction plans; Figure 2 A framework diagram of an intelligent review system for highway and waterway engineering construction plans; Figure 3 This is a flowchart for generating a review report in an intelligent review method for highway and waterway engineering construction plans. Detailed Implementation

[0020] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0021] Example 1: Database Construction: A comprehensive database is constructed, comprising a standards and specifications database and a risk quantification index database. The standards and specifications database integrates industry standards such as the "Technical Specifications for Highway Bridge and Culvert Construction" and the "Technical Specifications for Highway Engineering Construction Safety," covering content such as bridge foundation drilling, cantilever construction, prestressing tensioning operations, and high-altitude work protection. It is categorized and labeled according to engineering stages such as "foundation construction," "superstructure construction," and "safety protection." The risk quantification index database establishes a multi-dimensional risk assessment system based on four dimensions: construction environment (frequency of strong winds in mountainous canyons, slope rock stability), construction technology (precision control of cantilever assembly, prestressing tendon tensioning process), construction management (qualification review of special operation personnel, handover and acceptance procedures), and economics (fluctuations in building material market prices, large equipment rental costs). It clarifies the quantitative standards for each risk element (such as the risk assessment standards corresponding to strong wind warning levels) and calculates the weight of each risk dimension using the following formula: ,in, For the first The weights of each risk dimension, For the first The and the first The importance scale value compared to each risk dimension The total number of risk dimensions. The number of risk dimensions used for comparison. , As an index, a multi-dimensional risk quantification assessment model is formed, such as Figure 1 As shown.

[0022] Construction plan acquisition and preprocessing: The construction plan for a continuous beam bridge traversing a mountainous canyon was obtained. The plan includes pile foundation drilling, rebar cage hoisting, cantilevered segmental construction using formwork, and bridge deck installation. The plan text was segmented (e.g., "cantilevered formwork travel limit device" and "slope protection net setting"). Semantic analysis was used to clarify the process logic of "pile foundation construction - pier pouring - cantilevered formwork installation - segmental cantilever construction," and key information was extracted: the project type is "prestressed concrete continuous beam bridge"; construction steps include drilling positioning, mud wall protection, rebar binding, concrete pouring, and cantilevered formwork movement; technical parameters include concrete strength grade and prestressing tension control requirements; safety measures include guardrails for high-altitude work platforms and safety net erection. Risk factors were also identified: the impact of seasonal strong winds in the canyon area (construction environment dimension), the synchronization control during cantilevered formwork movement (construction technology dimension), the certification status of special operations personnel such as welders (construction management dimension), and the price fluctuation trend of major building materials (economic dimension).

[0023] Intelligent Review and Risk Assessment: An intelligent review model is built based on AI. Pre-processed construction plan information is input into the intelligent review model, which then calls upon a standard and specification database for comparative analysis. The model verifies whether the requirement to "install a synchronous monitoring device when moving the hanging basket forward" complies with the specification requirement that "the hanging basket should be equipped with a synchronous control system" (compliant); whether the "height of the guardrail on the high-altitude work platform" meets the safety standard of "not less than 1.2m" (compliant); and whether the "temperature monitoring frequency during concrete curing" meets the specification requirement of "once every 6 hours" (compliant). The comparative analysis results are obtained. Simultaneously, a multi-dimensional risk quantification assessment model scores the identified risk elements and calculates the overall risk value of the construction plan. The calculation formula is as follows: ,in, This represents the overall risk value. For the first The weights of each risk dimension, For the first Under the first risk dimension The weight of each risk factor, For the first Under the first risk dimension The quantitative score of each risk element, The total number of risk dimensions. The number of risk elements under each risk dimension.

[0024] Generate a review report: Based on the comparative analysis results and the overall risk value, generate a construction plan review report. The review report includes: compliant items (such as "the hanging basket walking is equipped with a synchronous monitoring device, which meets the specifications" and "the height of the guardrail for high-altitude operations meets the standards"), non-compliant items (such as "the settling time after pile foundation drilling is lower than the 'settling time after pile foundation drilling' clause in the 'Technical Specification for Highway Bridge and Culvert Construction'"), and rectification suggestions ("adjust the settling time after pile foundation drilling is adjusted to the time specified in the industry standard specifications, and arrange for a dedicated person to monitor the water level and mud specific gravity in the hole during the settling period"). The risk level is calculated and classified based on the overall risk value, and the calculation formula is as follows: ,in, Risk level, Low risk Medium risk High risk, This represents the overall risk value. This is the threshold between low and medium risk. The threshold between medium and high risk was ultimately determined. It is classified as "medium risk".

[0025] Feedback Results and Model Optimization: The review report is fed back to the construction project department. At the same time, the original construction plan, key information after preprocessing (such as "pile foundation settling time"), risk factors (such as "impact of strong winds in the canyon"), comparative analysis results (such as "settling time does not meet specifications"), overall risk value and review report are stored in the comprehensive database. Based on this data, the comparison logic of "pile foundation settling time" in the intelligent review model is optimized regularly (adding differentiated judgment rules for settling time under different geological conditions), and the quantitative standard of "strong winds in mountainous areas" in the risk quantification assessment model is adjusted (refining the impact score of different wind speed levels on construction).

[0026] In summary, taking the construction scheme of a continuous beam bridge for highways traversing mountainous canyons as an example, this study preprocesses the construction scheme by constructing a comprehensive database containing relevant industry standards and multi-dimensional risk indicators to extract key information and risk factors. Using an intelligent review model, the scheme is compared with standards and specifications, and combined with a multi-dimensional risk quantification assessment model to derive the overall risk value. This generates a review report containing compliance items, non-compliance items, rectification suggestions, and risk levels, and provides feedback to optimize the model. This approach achieves intelligent and standardized review of bridge construction schemes.

[0027] Example 2: Database Construction: A comprehensive database is constructed, comprising a standards and specifications database and a risk quantification index database. The standards and specifications database collects standards such as the "Port Engineering Quality Inspection and Evaluation Standards" and the "Technical Specifications for Safety Protection in Waterway Engineering Construction," covering topics such as wharf pile foundation construction, breakwater structure pouring, ship berthing facility installation, and safety protection for water operations. These are categorized and labeled according to terms like "Pile Foundation Engineering," "Breakwater Engineering," "Environmental Protection Measures," and "Ship Operation Management." The risk quantification index database establishes a multi-dimensional risk assessment system based on four risk dimensions: construction environment (seasonal changes in river water level, water flow velocity and direction), construction technology (pile foundation sinking depth control, concrete impermeability), construction management (navigation permits for construction vessels, operational status of environmental protection equipment), and economics (fuel price fluctuations, cofferdam material procurement costs). It clarifies the quantitative standards for each risk element (e.g., the risk assessment standard corresponding to the monthly water level change) and calculates the weight of each risk dimension using the following formula: This leads to the formation of a multi-dimensional risk quantification assessment model.

[0028] Construction plan data collection and preprocessing: A construction plan for a 5000-tonnage inland waterway cargo terminal was obtained. The plan includes underwater drilling for pile foundations, pile driving, cofferdam construction, concrete pouring for the wharf deck, and installation of mooring bollards. The plan text was segmented into words (e.g., "diameter of steel casing for pile foundations" and "laying of anti-seepage membrane for cofferdam"). Semantic analysis was used to clarify the procedural connections between "pile foundation construction - cofferdam construction - rebar tying - concrete pouring - equipment installation," and key information was extracted: the project type is "high-pile wharf"; construction steps include underwater positioning, drilling, pile driving, cofferdam support, and concrete pouring; technical parameters include pile penetration depth and concrete impermeability grade; safety measures include the provision of life-saving equipment for construction vessels and requirements for workers wearing life jackets. Risk factors were also identified: water level changes during the flood season in the construction section (construction environment dimension), verticality control of pile foundation construction (construction technology dimension), validity of navigation permits for construction vessels (construction management dimension), and price fluctuations of fuel oil and major building materials (economic dimension). Figure 2 As shown.

[0029] Intelligent Review and Risk Assessment: An AI-based intelligent review model is constructed. Pre-processed construction plan information is input into the model, which then compares it against a standard and specification database. The model verifies whether the "pile foundation penetration depth" meets the specification requirements for a 5000-ton wharf (compliant); whether the "concrete impermeability grade" meets the standard for "inland river wharf concrete impermeability grade" (compliant); and whether the "number of life-saving equipment on construction vessels" meets the standard for "number of life rings in the designated operating area" (compliant). Simultaneously, a multi-dimensional risk quantification assessment model scores the identified risk elements and calculates the overall risk value of the construction plan. The calculation formula is as follows: .

[0030] Generate a review report: Based on the comparative analysis results and the overall risk value, generate a construction plan review report. The review report includes: compliant items (e.g., "Pile foundation penetration depth meets specifications" and "Construction vessel lifesaving equipment meets standards"), non-compliant items (e.g., "The timing of cofferdam removal violates the clause in the 'Technical Specification for Safety Protection in Waterway Engineering Construction' that cofferdams should be removed within the specified number of days after the wharf structure acceptance"), rectification suggestions ("Adjust the cofferdam removal time to the time specified in the industry standard specifications, and implement slope stability monitoring and erosion prevention measures"). The risk level is calculated and classified based on the overall risk value, and the calculation formula is as follows: Finally determined "Low risk", such as Figure 3 As shown.

[0031] Feedback Results and Model Optimization: The review report will be fed back to the construction unit. At the same time, the original construction plan, key information after pre-processing (such as "cofferdam removal time"), risk factors (such as "flood season water level changes"), comparative analysis results (such as "removal time does not meet specifications"), overall risk value and review report will be stored in the comprehensive database. Based on this data, the comparison logic of "cofferdam removal time" in the intelligent review model will be optimized regularly (related to the time nodes of the wharf structure acceptance process), and the quantitative standard of "water level change" in the risk quantification assessment model will be adjusted (to distinguish the risk differences of water level change under different riverbed geological conditions).

[0032] In summary, for the construction plan of the 5,000-tonnage inland waterway cargo terminal, a comprehensive database covering port engineering standards and multi-dimensional risk indicators was first established. After preprocessing the plan, key information and risk factors were extracted. The plan was then compared with standards and specifications using an intelligent review model. Combined with a risk quantification assessment model, the overall risk value was calculated, and a review report containing various contents was generated. After feedback, the model was optimized, effectively completing the intelligent review of the inland waterway terminal construction plan, ensuring that the plan complies with industry standards and reasonably assesses risks.

[0033] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for intelligent review of construction plans for highway and waterway engineering projects, characterized in that, The specific steps of this method are as follows: Database construction: Construct a comprehensive database, which includes a standard specification database and a risk quantification indicator library; Construction plan acquisition and preprocessing: Obtain the construction plan to be reviewed and preprocess it, including text segmentation, semantic parsing, key information extraction and risk factor identification; Intelligent review and risk assessment: Based on AI, an intelligent review model is built. The pre-processed construction plan information is input into the intelligent review model and compared and analyzed with the data in the standard specification database. At the same time, a multi-dimensional risk quantification assessment model is called to quantify and score the identified risk elements based on the risk quantification index library and calculate the overall risk value. Generate a review report: Based on the comparative analysis results and the overall risk value, generate a construction plan review report. The review report includes compliant items, non-compliant items, rectification suggestions, and risk levels. Feedback and Model Optimization: The review report is fed back to the staff, and all data generated during the review process is stored in a comprehensive database. Based on this data, the intelligent review model and risk quantification assessment model are regularly optimized and updated.

2. The intelligent review method for highway and waterway engineering construction plans according to claim 1, characterized in that, In the database construction, the comprehensive database includes a standards and specifications database and a risk quantification index database. This involves collecting industry standards and specifications for highway and waterway engineering, covering aspects such as construction technology, safe operation, quality acceptance, and supervision processes. The specifications are then structured, categorized and labeled according to project type and specification category, forming structured data stored in the standards and specifications database. Simultaneously, a multi-dimensional risk assessment system is established, including risk dimensions related to construction environment, construction technology, construction management, and economy. Risk elements under each dimension are broken down, their quantification standards are clarified, and the weights of each risk dimension are calculated, forming a multi-dimensional risk quantification assessment model, which is then stored in the risk quantification index database.

3. The intelligent review method for highway and waterway engineering construction plans according to claim 2, characterized in that, In the database construction, the weights of each risk dimension are calculated using the following formula: ,in, For the first The weights of each risk dimension, For the first The and the first The importance scale value compared to each risk dimension The total number of risk dimensions. The number of risk dimensions used for comparison. , For indexing.

4. The intelligent review method for highway and waterway engineering construction plans according to claim 3, characterized in that, In the aforementioned collection and preprocessing of the construction plan, the key information includes the project type, construction steps, technical parameters, and safety measures in the construction plan. The risk factors include risk information related to the risk dimensions of construction environment, construction technology, construction management, and economy in the construction plan, corresponding to the risk quantification index library. These include weather impact and geological compatibility risks in the construction environment dimension, technology application and process parameter risks in the construction technology dimension, qualification compliance and resource coordination risks in the construction management dimension, and price fluctuation and change cost risks in the economic dimension.

5. The intelligent review method for highway and waterway engineering construction plans according to claim 1, characterized in that, In the intelligent review and risk assessment, the pre-processed construction plan information is input into the intelligent review model. The intelligent review model calls the structured data in the standard specification database to compare and analyze the key information of the construction plan, and verifies whether the content of the construction plan meets the requirements of industry standards and specifications, including the compliance of construction steps, the compliance of technical parameters, and the completeness of safety measures. The comparison and analysis results are obtained. At the same time, a multi-dimensional risk quantification assessment model is called to quantify the identified risk elements based on the risk quantification index library, score each risk element according to the quantification standard, and calculate the overall risk value of the construction plan.

6. The intelligent review method for highway and waterway engineering construction plans according to claim 5, characterized in that, In the intelligent review and risk assessment, the overall risk value of the construction plan is calculated using the following formula: ,in, This represents the overall risk value. For the first The weights of each risk dimension, For the first Under the first risk dimension The weight of each risk factor, For the first Under the first risk dimension The quantitative score of each risk element, The total number of risk dimensions. The number of risk elements under each risk dimension.

7. The intelligent review method for highway and waterway engineering construction plans according to claim 1, characterized in that, The generated review report includes compliance items, non-compliance items, rectification suggestions, and risk levels. The compliance items include specific clauses and contents of the construction plan that comply with the standards and specifications. The non-compliance items include the clause numbers that violate the standards and specifications, the non-compliant contents in the construction plan, and the specification requirements. The rectification suggestions are generated based on the non-compliance items. The risk level is calculated and divided based on the overall risk value to determine the degree of risk of the construction plan.

8. The intelligent review method for highway and waterway engineering construction plans according to claim 7, characterized in that, In the generated review report, the risk level is calculated and classified based on the overall risk value, and the calculation formula is as follows: ,in, Risk level, Low risk Medium risk. High risk, This represents the overall risk value. This is the threshold between low and medium risk. This is the threshold between medium and high risk.

9. The intelligent review method for highway and waterway engineering construction plans according to claim 1, characterized in that, In the feedback and model optimization process, the review report is fed back to the staff. At the same time, all data generated during the review process, including the original construction plan, key information after preprocessing, risk factors, comparative analysis results, overall risk value, and review report, are stored in a comprehensive database. This data is used to regularly optimize and update the intelligent review model and the risk quantification assessment model, optimize the comparison logic of the intelligent review model, and adjust the weight of risk dimensions and the quantification standards of risk factors.

10. An intelligent review system for highway and waterway engineering construction plans, the system being applicable to the intelligent review method for highway and waterway engineering construction plans as described in any one of claims 1-9, characterized in that, The system includes: Comprehensive Database Module: Constructs a comprehensive database, including a standard specification database and a risk quantification indicator library; Data Acquisition and Preprocessing Module: Acquires the construction plan to be reviewed and performs preprocessing operations on it, including text segmentation, semantic parsing, key information extraction and risk factor identification; Intelligent review and risk assessment module: Based on AI, an intelligent review model is built. The intelligent review model compares and analyzes the pre-processed construction plan information with the data in the standard specification database. At the same time, through a multi-dimensional risk quantification assessment model, the identified risk elements are quantified and scored based on the risk quantification index library to calculate the overall risk value. Review report generation module: Based on the comparative analysis results and overall risk value, generate a construction plan review report. The review report includes compliant items, non-compliant items, rectification suggestions, and risk level. Results Feedback and Model Optimization Module: The review report is fed back to the staff, and all data generated during the review process is stored in the comprehensive database. Based on this data, the intelligent review model and the multi-dimensional risk quantification assessment model are optimized and updated.

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