Multi-dimensional semantic analysis method and system for nuclear power think tank report

Abstract

The invention belongs to the technical field of natural language processing and artificial intelligence, and particularly relates to a nuclear power think tank report multi-dimensional semantic analysis method and system. Comprising the steps of data preprocessing (word segmentation, term recognition and grammar analysis); establishing an adaptive large model, and automatically adjusting an analysis strategy according to report requirements and data source features; applying an information extraction algorithm; a hierarchical information architecture is constructed and is divided into a basic information layer (original data), an analysis information layer (interpretation) and a decision information layer (suggestion) so as to output a support decision in a structured manner. The method has the beneficial effects that compared with a general information extraction patent, the method has obvious differences and advantages. For the terminology of the nuclear power think tank report, the terminology can be accurately understood and processed by establishing a terminology library and a targeted analysis algorithm, and understanding deviation in a general method is avoided.

Description

Technical Field

[0001] This invention belongs to the field of natural language processing and artificial intelligence technology, specifically relating to a method and system for multi-dimensional semantic parsing of nuclear power think tank reports. Background Technology

[0002] In the nuclear power sector, nuclear power think tank reports serve as a core reference for industry decision-making. Their professionalism is manifested in three main dimensions: the cross-domain integration of terminology, the decision-oriented nature of their logical framework, and the sensitivity of report types to key information points. Frequently used nuclear engineering technical terms such as "passive safety system" and "probabilistic safety assessment," macro-policy terms such as "nuclear power pricing mechanism" and "energy structure coupling degree," and economic analysis terms such as "life-cycle cost model" and "domestic production rate of technical equipment" often lead to ambiguity due to cross-domain semantic differences. For example, "critical" in nuclear physics refers to the reactor's reactive equilibrium state, while in energy policy it may involve grid load thresholds, requiring domain-specific knowledge for semantic disambiguation. Their logical framework centers on "problem definition - multi-dimensional analysis - strategy output," forming a multi-layered nested network of "technical feasibility → safety boundary → economic transmission → policy adaptability." For instance, when demonstrating "modular construction of small modular reactors," it is necessary to simultaneously consider the cross-dimensional causal relationships between technical parameters, construction safety risks, life-cycle costs, and policy subsidy mechanisms. Information at each analytical layer exhibits strong decision-making relevance. The focus of information in different types of reports changes dynamically with their functional positioning: strategic planning reports focus on the comparison of technology routes and conclusions on industrial layout; risk assessment reports focus on the quantification of accident probability and the effectiveness of mitigation measures; and policy research reports need to accurately locate the conflict points of regulatory rules and the transmission efficiency of subsidy policies. Existing methods are unable to intelligently focus on the core information areas required for decision-making based on the report type.

[0003] However, existing general semantic parsing models and traditional rule-based algorithms are insufficient to meet these requirements. General models trained on publicly available corpora lack the specific knowledge injection required by nuclear power think tanks. They can only literally piece together terms involving the intersection of technology, economics, and policy, failing to interpret their actual connotations in decision-making scenarios. The logical parsing modules of traditional algorithms are based on linear paragraph designs. Faced with the multi-layered decision-making logic of "policy objectives → constraints → technological paths → risk hedging strategies" in think tank reports, they cannot establish cross-layered causal relationships. This results in the extraction of only isolated text blocks during parsing, losing the deductive relationships. They also lack domain-specific structured parsing capabilities for the decision parameter relationships implicit in tables and charts. Furthermore, existing methods and strategies are rigid. When processing strategic planning reports, they fail to prioritize the extraction of core conclusions. When analyzing risk assessment reports, they easily overlook key safety indicators. They lack customized extraction strategies for the unique content in policy research reports, resulting in incomplete or redundant key information extraction, making it difficult to support systematic decision analysis.

[0004] General document parsing technologies, exemplified by patent CN118447525A ("A Method and System for Intelligent Text Extraction and Structured Processing of Document Parsing"), have significant shortcomings in their application to the nuclear power field. Firstly, the lack of a domain knowledge injection mechanism leads to inaccurate semantic parsing. The patent's text preprocessing stage relies solely on a general corpus for word segmentation and semantic annotation, failing to construct a nuclear power-specific terminology knowledge base (such as a nuclear reactor parameter glossary or a radiation protection standard dictionary). Secondly, the logical hierarchy parsing module fails to adapt to the multi-dimensional nested structure of nuclear power reports. The recursive segmentation and index tracking methods employed in the patent are primarily designed for the linear paragraph logic of conventional documents, making it difficult to handle the three-dimensional logical network of "technical parameters - safety constraints - economic transmission" in nuclear power reports. Thirdly, insufficient dynamic strategy switching capabilities restrict adaptability to complex report types. The patent's structured output strategy relies on fixed page layout templates (such as titles, body text, and tables), lacking an adaptive mechanism designed for the differences in report types within the nuclear power field.

[0005] To address the aforementioned technical bottlenecks, efficient parsing of nuclear power think tank reports urgently needs to overcome three core challenges: first, the domain specificity of terminology parsing, requiring the construction of a dynamic terminology database covering multiple sub-domains to achieve accurate segmentation and semantic disambiguation of professional terms; second, the hierarchical adaptability of logical parsing, requiring the design of an algorithm framework that supports multi-dimensional logical nesting parsing to identify cross-layer relationships; and third, the dynamic adaptability of strategy adjustments, requiring the establishment of an automatic optimization mechanism for analysis strategies based on report requirements and data source characteristics. Summary of the Invention

[0006] The purpose of this invention is to provide a multi-dimensional semantic parsing method and system for nuclear power think tank reports. By using an adaptive large model adjustment mechanism, a multi-level information extraction algorithm, and a domain knowledge architecture, it solves the problem of low information extraction accuracy caused by interference from professional terms and complex logical structures.

[0007] The technical solution of this invention is as follows: A method for multi-dimensional semantic parsing of nuclear power think tank reports, comprising the following steps:

[0008] Data Input and Preprocessing: Using nuclear power reports as input data, the reports are first preprocessed. The preprocessing process includes word segmentation of the text, identification of technical terms, establishment of a technical terminology database for the nuclear power field, and grammatical analysis of the text to determine the structure and logical relationships of sentences.

[0009] Establish an adaptive large-scale model adjustment mechanism: Based on the large-scale model, a pre-set adaptive analytical model is constructed. This model has the ability to automatically adjust the analysis strategy according to the requirements of the think tank report and the characteristics of the data source. Specifically, the model first analyzes the requirements of the nuclear power report to clarify the types, levels and key points of information that need to be extracted. Then, it evaluates the characteristics of the data source, including the report format, the frequency of use of professional terms, and the complexity of the logical structure. Based on the report requirements and data source characteristics obtained from the analysis, the model automatically selects appropriate analysis algorithms and parameters and adjusts the analysis strategy.

[0010] Information extraction algorithm application: Based on the adjusted analysis strategy, the preprocessed report is processed;

[0011] Hierarchical Information Organization Architecture Construction: Construct a hierarchical information organization architecture, organize the extracted information at different levels according to certain logical relationships, and form a structured output, which is divided into a basic information layer, an analytical information layer, and a decision-making information layer. The basic information layer contains the raw data and basic facts in the report; the analytical information layer is the analysis and interpretation of the basic information; and the decision-making information layer is the targeted suggestions and strategies proposed based on the analytical information, providing direct support for decision-making in the nuclear power industry.

[0012] A multi-dimensional semantic parsing system for nuclear power think tank reports includes a data preprocessing module, an adaptive adjustment parsing module based on a large model, an information extraction module, and a hierarchical information organization module;

[0013] The data preprocessing module collects and classifies multiple types of reports, including input data, classification labels, initialization of the professional terminology database, construction of core terms, word segmentation and grammar parsing, and dynamic updating of the terminology database;

[0014] The adaptive adjustment parsing module based on the large model includes: adaptive parsing model construction, which builds an adaptive parsing model based on the existing large language model through fine-tuning, and pre-trains the model using a dataset containing different types of nuclear power think tank reports to enable it to initially process text in the nuclear power field. Specifically, this includes user-side report requirement parsing, data-side feature evaluation, strategy matching and adjustment, parsing algorithm selection and execution, and confidence verification and processing.

[0015] The information extraction module includes: basic information extraction and high-level information summarization;

[0016] The hierarchical information organization module includes: information classification and storage.

[0017] The data preprocessing module includes:

[0018] Input data: Collect nuclear power think tank reports in the categories of technology assessment, strategic planning, policy analysis, market research, safety and risk management, and environmental impact assessment, form structured / unstructured datasets, and store them in the nuclear power think tank report database;

[0019] Category Tags: Establish metadata tags based on report type, issuing organization, time, and topic, and perform tag labeling and classification;

[0020] Core Terminology Construction: Compile basic professional terms in the nuclear power field, input them into the nuclear power think tank terminology database, and initialize the terminology database to cover basic nuclear power terminology, policy and regulatory terminology, and market indicators;

[0021] Word segmentation and grammar analysis: Natural language processing tools are used to segment the collected reports into words, breaking the text into word units. A grammar analyzer is used to analyze the sentence structure and mark the sentence components and logical relationships.

[0022] When performing word segmentation on text, identifying technical terms, and establishing a technical terminology database for the nuclear power field, differentiated processing is applied to different categories of reports.

[0023] The differentiation process includes:

[0024] For technology assessment reports, the focus is on identifying technical terms related to nuclear power technology innovation, technology route comparison, and equipment localization rate analysis;

[0025] For strategic planning reports, pay special attention to the terminology related to development goals and technology roadmap comparison matrices;

[0026] Policy analysis reports focus on the professional terminology involved in policy content analysis and industry impact assessment;

[0027] Market research reports should identify terms related to market size and growth rate, regional market comparison, and cost competitiveness analysis.

[0028] Safety and risk management reports focus on terminology related to safety technical indicator analysis and risk transmission path modeling.

[0029] Environmental impact assessment reports should focus on pollutant monitoring data and the technical terminology used in pollution index calculations.

[0030] The user-side report requirement parsing receives the report analysis requirements input by the user, clarifies the types, levels, and key points of information to be extracted, and analyzes different report types when analyzing nuclear power report requirements:

[0031] For technology assessment reports, it is necessary to clearly identify the key technological innovations that need to be extracted, the types of information on the comparison results of technical routes, and the key levels and key contents when analyzing the localization rate of assessment equipment.

[0032] Strategic planning reports should identify the key details of development goals to be precisely extracted, the critical basis for comparing and selecting technology routes, and the core points regarding implementation paths and policy support.

[0033] Policy analysis reports should clearly define the key policy content requiring in-depth interpretation, as well as the types and levels of information in the crucial dimensions of industry impact assessment.

[0034] Market research reports should clearly define the extraction requirements and key areas of focus for information on different aspects such as market size and competitive landscape.

[0035] Safety and risk management reports define the requirements and levels for safety performance assessments and the refinement of risk mitigation measures;

[0036] Environmental impact assessment reports should clearly define the key points for interpreting pollutant monitoring data and extracting the basis for comparing and selecting ecological restoration technologies.

[0037] The data-side feature evaluation, when assessing data source characteristics, adds consideration of specific content characteristics for different report types:

[0038] Technical assessment reports focus on the level of detail in technical parameters and the complexity of the explanation of technical innovations.

[0039] Strategic planning reports consider the foresight of development goals and the feasibility of implementation path planning;

[0040] Policy analysis reports, which provide in-depth interpretations of policies and comprehensive assessments of their impact on the industry;

[0041] Market research reports assess the accuracy of market data and the objectivity of competitive landscape analysis;

[0042] Safety and risk management reports examine the scientific validity of safety technical indicator analysis and the rationality of risk transmission path modeling.

[0043] Environmental impact assessment reports should focus on the reliability of pollutant monitoring data and the rationality of the selection of ecological restoration technologies.

[0044] Strategy matching and adjustment: Based on the report requirements and data source characteristics obtained from the analysis, the model can more accurately and automatically select appropriate parsing algorithms and parameters, and adjust the analysis strategy.

[0045] The basic information extraction method is used to extract basic information for different types of reports, employing keyword matching and rule extraction algorithms.

[0046] In technical assessment reports, key matching and rule extraction are used to accurately extract basic parameters such as those of fourth-generation reactors and the localization rate of equipment.

[0047] Strategic planning reports require accurate acquisition of basic data for development goals such as installed capacity planning;

[0048] In policy analysis reports, quickly extract key policy clauses from the policy content summary;

[0049] In market research reports, efficiently extract market size and growth rate;

[0050] In safety and risk management reports, accurately extract the basic safety parameters from the analysis of safety technical indicators;

[0051] In environmental impact assessment reports, accurate pollutant monitoring data must be obtained.

[0052] Technical assessment reports delve into the advantages and disadvantages of technical solutions;

[0053] Strategic planning reports should compare the advantages and potential risks of each route in the selection matrix, as well as the synergistic relationship and potential problems between the implementation path and supporting policies.

[0054] Policy analysis reports assess the impact of policies on industrial chain costs and supply chains, as well as the logical connections between different policy provisions;

[0055] Market research reports delve into the underlying reasons for differences in regional market comparisons, as well as the interplay of various factors in cost competitiveness analysis;

[0056] Safety and risk management reports analyze the causal relationships between risk factors in risk transmission path modeling, as well as the key points for verifying the effectiveness of emergency plans;

[0057] Environmental impact assessment reports examine the rationality of pollution index calculation methods and the key influencing factors in the comparison and selection of ecological restoration technologies.

[0058] The high-level information summarization uses machine learning and deep learning algorithms to summarize and generalize intermediate-level information:

[0059] Technology assessment reports summarize industry trends in technological innovation and provide recommendations for nuclear power technology research and development decisions based on the assessment results.

[0060] Strategic planning reports predict the medium- and long-term trends in nuclear power development and provide strategic recommendations for optimizing industrial layout and technological iteration paths.

[0061] Policy analysis reports summarize the development trends of nuclear power policies at home and abroad, and provide targeted policy recommendations and coping strategies for governments and enterprises;

[0062] Market research reports predict future development trends in the nuclear power market and provide strategic advice for corporate investment decisions;

[0063] Safety and risk management reports summarize the development trends in nuclear power facility safety management and propose suggestions for improving risk mitigation measures and regulatory systems.

[0064] Environmental impact assessment reports analyze the long-term impact trends of nuclear power projects on ecosystems and propose comprehensive recommendations for ecological protection and governance decisions.

[0065] The information classification and storage process categorizes the extracted information into basic information layer, analytical information layer, and decision-making information layer, stores it in a structured database, and adds tags to each information entry to indicate its report type, information level, and specific content category.

[0066] The basic information layer includes: technical assessment reports, which incorporate the original data from the detailed technical parameters and the basic descriptions of technical breakthroughs and innovations as basic information into this layer;

[0067] Strategic planning reports categorize the basic data for development goals and the raw data for technology route comparison matrices as basic information.

[0068] Policy analysis reports place the original policy provisions in the policy content summary and the basic data in the industry impact assessment in this layer;

[0069] Market research reports use raw data on market size and growth rate, as well as basic information comparing regional markets, as foundational information.

[0070] Safety and risk management reports include the raw data for safety technical indicator analysis and the basic data for risk transmission path modeling in this layer;

[0071] Environmental impact assessment reports include the raw values ​​of pollutant monitoring data and the basic data for calculating pollution indices as basic information.

[0072] The analytical information layer includes: technology assessment reports, which contain analysis results on the advantages and disadvantages of technical solutions and conclusions on the analysis of the supporting capabilities of the industrial chain;

[0073] Strategic planning reports cover the analysis process and conclusions of technology route comparison, and the feasibility analysis of implementation paths and policy support;

[0074] Policy analysis reports, including in-depth analysis of the impact of policies on the industrial chain and comparative analysis of different policies;

[0075] Market research reports include comparative analysis of regional markets and a detailed process of cost competitiveness analysis;

[0076] Safety and risk management reports include analysis results of risk transmission paths and analytical conclusions on the effectiveness verification of emergency plans;

[0077] Environmental impact assessment reports involve the analysis of pollution index calculation results and the comparative analysis of ecological restoration technologies;

[0078] The decision-making information layer includes: technology assessment reports, and recommendations on technology selection and R&D direction based on the results of the technology assessment;

[0079] Strategic planning reports provide strategic decision-making recommendations for nuclear power development;

[0080] Policy analysis reports provide recommendations for policy formulation and adjustment, as well as strategic suggestions for enterprises to cope with policy changes;

[0081] Market research reports provide investment decision-making advice for businesses;

[0082] Safety and risk management reports propose suggestions for improving the safety supervision system and optimization plans for risk mitigation measures;

[0083] Environmental impact assessment reports provide decision-making recommendations on the ecological protection and governance of nuclear power projects;

[0084] Cross-level logical connections are established to create relationships between information at different levels, forming a complete knowledge graph.

[0085] The beneficial effects of this invention are as follows: Compared with general information extraction patents, this invention has significant differences and advantages. Regarding the professional terminology in nuclear power think tank reports, by establishing a professional terminology database and using targeted parsing algorithms, it can accurately understand and process terminology, avoiding comprehension biases found in general methods. For the logical structure of nuclear power reports, by utilizing an adaptive adjustment mechanism and a hierarchical information organization architecture, it can deeply analyze the logical levels of the report and efficiently extract information at each level. In terms of key information capture, by combining the characteristics of the nuclear power field and the requirements of think tank reports, it accurately extracts key information, reducing information omissions and misjudgments. Through the automatic adjustment and optimization of the adaptive large model, the method can flexibly adapt to different report requirements and data source characteristics, improving the accuracy and efficiency of information extraction and providing strong support for the development of the nuclear power industry. Attached Figure Description

[0086] Figure 1 This invention provides an overall architecture diagram of a multi-dimensional semantic parsing system for nuclear power think tank reports.

[0087] Figure 2 This is a flowchart of the adaptive adjustment parsing mechanism based on a large model. Detailed Implementation

[0088] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0089] The present invention provides a multi-dimensional semantic parsing method and system for nuclear power think tank reports. It focuses on the three core features of nuclear power reports: "professional terminology system, logical hierarchical structure, and key information distribution". By constructing an adaptive large model adjustment mechanism, developing a field-specific information extraction algorithm, and designing a hierarchical information organization architecture, it forms a solution for multi-dimensional semantic parsing and interpretation of nuclear power think tank reports.

[0090] The innovation of this invention includes the following three points:

[0091] 1) Domain-specific terminology parsing and knowledge injection: Construct a dynamic terminology database for the nuclear power field, and combine it with a knowledge graph for the nuclear power field to achieve accurate segmentation of professional terms, semantic disambiguation and hierarchical relationship identification, and solve the problem of deviation in the parsing of nuclear power terms by general models.

[0092] 2) Hierarchical parsing capability with multi-dimensional logical nesting: The design supports an algorithm framework that supports cross-layer associations, which can identify the logical hierarchy of multi-dimensional intertwined content in nuclear power reports and achieve structured output through a hierarchical information organization architecture, breaking through the bottleneck of traditional methods failing to parse complex logic.

[0093] 3) Strategy Adaptive Optimization Mechanism: Based on the requirements of think tank reports and the characteristics of data sources, the analysis strategy and algorithm parameters of the large model are automatically adjusted, and the structured data parsing algorithm is dynamically switched to improve the completeness and accuracy of key information extraction and solve the problem of rigid strategies in traditional methods.

[0094] A method for multi-dimensional semantic parsing of nuclear power think tank reports includes the following steps:

[0095] Data Input and Preprocessing: Using nuclear power plant reports as input data, the reports are first preprocessed. The preprocessing process includes word segmentation of the text, identification of technical terms, and establishment of a nuclear power-related terminology database. Simultaneously, syntactic analysis is performed on the text to determine sentence structure and logical relationships, laying the foundation for subsequent semantic analysis.

[0096] Adaptive Large-Scale Model Adjustment Mechanism: Based on the large-scale model, a pre-defined adaptive analytical model is constructed. This model has the ability to automatically adjust the analysis strategy according to the requirements of the think tank report and the characteristics of the data source. Specifically, the model first analyzes the requirements of the nuclear power report to clarify the types, levels, and key points of information to be extracted. Then, it evaluates the characteristics of the data source, including the report format, frequency of use of technical terms, and complexity of the logical structure. Based on the analyzed report requirements and data source characteristics, the model automatically selects appropriate analysis algorithms and parameters and adjusts the analysis strategy. For example, when the report is found to have many technical terms and a complex logical structure, the model increases the weight of terminology parsing and logical hierarchy analysis.

[0097] Information Extraction Algorithm Application: Based on the adjusted analysis strategy, a specially designed information extraction algorithm is used to process the preprocessed report. This algorithm, tailored to the characteristics of nuclear power reports, can extract information at different levels. For basic information, such as the basic parameters and technical indicators of the nuclear power project, extraction is performed through keyword matching and rule extraction. For intermediate-level information, such as the advantages and disadvantages of technical solutions and risk factors for project implementation, semantic analysis and logical reasoning are used for mining. For high-level information, such as industry development trends and strategic decision-making recommendations, machine learning and deep learning techniques are used for summarization and conclusion.

[0098] Hierarchical Information Organization Architecture: Based on the characteristics of nuclear power think tank reports, a hierarchical information organization architecture is constructed. The extracted information at different levels is organized according to certain logical relationships to form a structured output. Specifically, it is divided into a basic information layer, an analytical information layer, and a decision-making information layer. The basic information layer contains the raw data and basic facts from the report; the analytical information layer analyzes and interprets the basic information, such as technology comparisons and risk assessments; the decision-making information layer provides targeted suggestions and strategies based on the analytical information, offering direct support for decision-making in the nuclear power industry.

[0099] A multi-dimensional semantic parsing system for nuclear power think tank reports includes a data preprocessing module, an adaptive adjustment parsing module based on a large model, an information extraction module, and a hierarchical information organization module.

[0100] The data preprocessing module collects and classifies multiple types of reports, including input data, classification labels, initialization of the professional terminology database, construction of core terms, word segmentation and grammar parsing, and dynamic updates of the terminology database.

[0101] Input data: Continuously collect nuclear power think tank reports in categories such as technology assessment, strategic planning, policy analysis, market research, safety and risk management, and environmental impact assessment, forming structured / unstructured datasets. These datasets are stored in the nuclear power think tank report database.

[0102] Category tags: Establish metadata tags based on report type, issuing organization, time (policy / technology timeliness), and topic (such as fourth-generation reactor technology, carbon neutrality policy), and perform tag labeling and classification to facilitate subsequent retrieval and analysis.

[0103] Core Terminology Construction: Basic nuclear power terminology was compiled from sources such as *Nuclear Science and Technology Terminology* and *Nuclear Energy Vocabulary General Terminology*, and entered into the nuclear power think tank terminology database. The initial terminology database covers basic nuclear power terminology (such as "pressurized water reactor," "spent fuel," and "probabilistic safety analysis"), policy and regulatory terminology (such as "Nuclear Safety Law" and "carbon peaking target"), and market indicators (such as "grid-connected electricity price" and "installed capacity planning").

[0104] Word segmentation and grammatical analysis: Natural language processing tools (such as NLTK, spaCy, etc.) are used to segment the collected reports into word units. Simultaneously, a grammatical analyzer (such as StanfordParser) is used to analyze sentence structure, annotating sentence components (subject, predicate, object, etc.) and logical relationships (causality, parallelism, contrast, etc.). Taking the sentence "Fourth-generation reactors adopt modular design, resulting in higher safety and economy" from a technical assessment report as an example, the analysis reveals that "fourth-generation reactors" is the subject, "adopts" is the predicate, and "modular design" is the object, and this sentence has a causal relationship with subsequent sentences describing safety and economy.

[0105] When performing word segmentation and identifying technical terms in the text, and establishing a technical terminology database for the nuclear power field, differentiated processing is applied according to different report categories:

[0106] For technology assessment reports, the focus is on identifying professional terms related to nuclear power technology innovation, technology route comparison, and equipment localization rate analysis, such as terms related to fourth-generation reactor parameters and professional terms related to the supporting capabilities of the industrial chain. This lays the foundation for subsequent accurate analysis of detailed technical parameters, technological breakthroughs, and innovations.

[0107] For strategic planning reports, focus on terms related to development goals (such as installed capacity planning) and technology route comparison matrices to ensure that the key content of such reports can be accurately grasped in subsequent semantic analysis.

[0108] Policy analysis reports focus on summarizing policy content and assessing industry impact using specialized terminology, facilitating a precise understanding of policy direction and its impact on industries.

[0109] Market research reports should identify terms related to market size and growth rate, regional market comparison, and cost competitiveness analysis, which will help to effectively extract relevant market information.

[0110] Safety and risk management reports focus on the analysis of safety technical indicators and the terminology related to risk transmission path modeling, providing support for the accurate assessment of safety performance and risk status.

[0111] Environmental impact assessment reports focus on technical terms such as pollutant monitoring data and pollution index calculations to help analyze the impact of nuclear power projects on the ecosystem in depth.

[0112] The terminology database is dynamically updated: If new technical terms are discovered during subsequent processing, they are promptly added to the terminology database for dynamic supplementation or updates. The database is regularly reviewed and optimized (e.g., monthly) to ensure its accuracy and timeliness.

[0113] The adaptive parsing module based on a large model includes: adaptive parsing model construction, which builds an adaptive parsing model based on an existing large language model through fine-tuning. The model is pre-trained using a dataset containing different types of nuclear power think tank reports, enabling it to initially process text in the nuclear power field. Specifically, this includes user-side report requirement parsing, data-side feature evaluation, strategy matching and adjustment, parsing algorithm selection and execution, and confidence verification and processing.

[0114] User-side report requirement analysis: This involves receiving user-inputted report analysis requirements and clarifying the types, levels, and key points of information to be extracted. When analyzing nuclear power plant report requirements, different report types need to be analyzed separately.

[0115] For technology assessment reports, it is necessary to clearly define the key information types that need to be extracted, such as the key technological innovations and the comparison results of technical routes, as well as the key levels and key contents when analyzing the localization rate of assessment equipment.

[0116] Strategic planning reports should accurately extract details of development goals, key criteria for comparing technology routes, and core points regarding implementation paths and supporting policies.

[0117] Policy analysis reports should clearly define the key policy content requiring in-depth interpretation, the crucial dimensions of industry impact assessment, and other information types and levels.

[0118] Market research reports should clearly define the extraction requirements and key areas of focus for information on different aspects such as market size and competitive landscape.

[0119] Safety and risk management reports define the requirements and levels for extracting key information such as safety performance assessments and risk mitigation measures.

[0120] Environmental impact assessment reports should clearly define the key information to be extracted, such as the interpretation of pollutant monitoring data and the basis for comparing and selecting ecological restoration technologies.

[0121] Data-side feature assessment: When assessing data source characteristics, in addition to considering report format, frequency of use of technical terms, and complexity of logical structure, specific content characteristics should be considered for different report types:

[0122] Technical assessment reports focus on the level of detail in technical parameters and the complexity of the explanation of technical innovations.

[0123] Strategic planning reports take into account characteristics such as the forward-looking nature of development goals and the feasibility of implementation path planning.

[0124] Policy analysis reports, which provide in-depth analysis of policy interpretations and comprehensive assessments of industry impacts.

[0125] Market research reports assess the accuracy of market data and the objectivity of competitive landscape analysis.

[0126] Safety and risk management reports examine the scientific validity of safety technical indicator analysis and the rationality of risk transmission path modeling.

[0127] Environmental impact assessment reports should focus on the reliability of pollutant monitoring data and the rationality of the selection of ecological restoration technologies.

[0128] Strategy Matching and Adjustment: Based on the report requirements and data source characteristics obtained from the analysis, the model automatically selects appropriate parsing algorithms and parameters more accurately, adjusting the analysis strategy. For example, when analyzing complex technical route comparison sections in technology assessment reports, if it finds many technical terms and complex logical structures, the model automatically increases the weight of terminology parsing and logical hierarchy analysis, and selects algorithms more suitable for analyzing complex technical content. For the implementation path section in strategic planning reports, if it finds that the planning content is relatively macro-level and has many related factors, the model adjusts its parameters to enhance its ability to integrate macro-level information and logically organize it.

[0129] Algorithm selection and execution: Based on the adjusted strategy, select different types of parsing algorithms, such as technology evaluation (including analysis of technological innovation points) and strategic planning (including analysis of development goals), and then execute the parsing in segments.

[0130] Confidence verification and processing: The confidence level of the parsing results is verified. If the confidence level reaches the threshold, structured output is performed and stored in a hierarchical database, with the final output being a chart or summary; if the confidence level does not reach the threshold, manual review and correction are performed, followed by updating the strategy matrix and re-executing the parsing process.

[0131] The information extraction module includes: basic information extraction and high-level information summarization.

[0132] Basic information extraction: For different types of reports, basic information is extracted using keyword matching and rule extraction algorithms.

[0133] In technical assessment reports, keyword matching and rule extraction are used to accurately extract basic parameters of nuclear power projects, such as fourth-generation reactor parameters, and technical indicators such as the localization rate of equipment.

[0134] In strategic planning reports, it is essential to accurately obtain basic data on development goals such as installed capacity planning.

[0135] In policy analysis reports, quickly extract key policy clauses and other basic information from the policy content summary.

[0136] Market research reports efficiently extract basic market data such as market size and growth rate.

[0137] In safety and risk management reports, the basic safety parameters are precisely extracted from the analysis of safety technical indicators.

[0138] In environmental impact assessment reports, it is essential to accurately obtain basic environmental data such as pollutant monitoring data.

[0139] Intermediate-level information mining utilizes semantic analysis and logical reasoning techniques to perform in-depth processing of basic information.

[0140] Technical assessment reports delve into the advantages and disadvantages of technical solutions, such as comparing the strengths and weaknesses of different technical routes in terms of innovation and feasibility; and analyzing the impact of supply chain support capabilities on technology implementation.

[0141] Strategic planning reports should compare the advantages and potential risks of each route in the selection matrix, as well as the synergistic relationship and potential problems between the implementation path and supporting policies.

[0142] Policy analysis reports assess the impact of policies on industrial chain costs and supply chains, as well as the logical connections between different policy provisions.

[0143] Market research reports delve into the underlying reasons for differences in regional market comparisons, as well as the interplay of various factors in cost competitiveness analysis.

[0144] Safety and risk management reports analyze the causal relationships between risk factors in risk transmission path modeling, as well as the key points for verifying the effectiveness of emergency plans.

[0145] Environmental impact assessment reports examine the rationality of pollution index calculation methods and the key influencing factors in the comparison and selection of ecological restoration technologies.

[0146] High-level information summarization: Machine learning and deep learning algorithms (such as recurrent neural networks (RNN) and Transformer models) are used to summarize intermediate-level information.

[0147] Technology assessment reports summarize industry trends in technological innovation and provide recommendations for nuclear power technology research and development decisions based on the assessment results.

[0148] Strategic planning reports predict medium- and long-term trends in nuclear power development and offer strategic recommendations for optimizing industrial layout and technological iteration paths.

[0149] Policy analysis reports summarize the development trends of nuclear power policies at home and abroad, and provide targeted policy recommendations and coping strategies for governments and enterprises.

[0150] Market research reports predict future trends in the nuclear power market and provide strategic advice for corporate investment decisions.

[0151] Safety and risk management reports summarize the development trends in nuclear power facility safety management and propose suggestions for improving risk mitigation measures and regulatory systems.

[0152] Environmental impact assessment reports analyze the long-term impact trends of nuclear power projects on ecosystems and propose comprehensive recommendations for ecological protection and governance decisions.

[0153] The hierarchical information organization module includes: information classification and storage.

[0154] Information Classification and Storage: The extracted information is classified into basic information layer, analytical information layer, and decision-making information layer, and stored in a structured database. Each information entry is tagged to indicate its report type, information level, and specific content category.

[0155] Basic information layer:

[0156] Technical assessment reports incorporate basic information such as the original data from the detailed technical parameters and the basic descriptions of technical breakthroughs and innovations into this layer.

[0157] Strategic planning reports categorize basic information such as the fundamental data for development goals and the raw data for the technology route comparison matrix.

[0158] Policy analysis reports place the original policy provisions in the policy content summary and the basic data in the industry impact assessment in this layer.

[0159] Market research reports use raw data on market size and growth rate, as well as basic information such as regional market comparisons, as foundational information.

[0160] Safety and risk management reports include raw data for safety technical indicator analysis and basic data for risk transmission path modeling in this layer.

[0161] Environmental impact assessment reports include the raw values ​​of pollutant monitoring data and the basic data for calculating pollution indices as basic information.

[0162] Analysis of information layer:

[0163] Technical assessment reports include analyses of the advantages and disadvantages of technical solutions, conclusions on the analysis of the supporting capabilities of the industrial chain, such as comparative analyses of different technical routes in terms of technical maturity and cost-effectiveness.

[0164] Strategic planning reports cover the analysis process and conclusions of technology route comparison, feasibility analysis of implementation paths and policy support, such as analyzing the impact of different technology routes on achieving the installed capacity planning target.

[0165] Policy analysis reports include in-depth analysis of the impact of policies on the industrial chain and comparative analysis between different policies, such as assessing the different impacts of different nuclear power policies on costs and the supply chain.

[0166] Market research reports include comparative analyses of regional markets and detailed cost competitiveness analyses, such as dissecting the driving and limiting factors for nuclear power development in different regional markets.

[0167] Safety and risk management reports include analysis results of risk transmission paths, analytical conclusions on the effectiveness of emergency plans, such as analyzing how risk factors are transmitted in the system and the advantages and disadvantages of emergency plans.

[0168] Environmental impact assessment reports involve the analysis of pollution index calculation results and the comparative analysis of ecological restoration technologies, such as the comparison of different ecological restoration technologies in terms of applicability and cost.

[0169] Decision Information Layer:

[0170] Technology assessment reports include recommendations on technology selection and research and development directions based on the results of technology assessments, such as recommending the priority development of a certain advantageous nuclear power technology.

[0171] Strategic planning reports provide strategic decision-making recommendations for nuclear power development, such as specific strategies for optimizing industrial layout and key directions for technological iteration.

[0172] Policy analysis reports provide recommendations for policy formulation and adjustment, as well as strategic suggestions for enterprises to cope with policy changes, such as recommending that the government introduce policies to encourage innovation in nuclear power technology.

[0173] Market research reports provide companies with investment decision-making advice, such as investment strategies and timing recommendations in different regional markets.

[0174] Reports on safety and risk management offer suggestions for improving the safety oversight system and optimizing risk mitigation measures, such as recommending stronger oversight of specific risk factors.

[0175] Environmental impact assessment reports provide decision-making recommendations for the ecological protection and governance of nuclear power projects, such as recommending a comprehensive ecological restoration plan.

[0176] Cross-level logical connections establish relationships between information at different levels, forming a complete knowledge graph. In strategic planning reports, development goals (basic information layer), technology route comparison (analysis information layer), and implementation path suggestions (decision-making information layer) are logically linked to facilitate user queries and analysis.

[0177] Multimodal structured output: Structured information is output in the form of charts (such as bar charts and line graphs), tables, or text summaries, depending on user needs. For technical assessment reports, bar charts comparing technical parameters can be generated; for policy analysis reports, a summary text of policy impacts is provided.

Claims

1. A multi-dimensional semantic parsing method for nuclear power think tank reports, characterized in that, Includes the following steps: Data Input and Preprocessing: Using nuclear power reports as input data, the reports are first preprocessed. The preprocessing process includes word segmentation of the text, identification of technical terms, establishment of a technical terminology database for the nuclear power field, and grammatical analysis of the text to determine the structure and logical relationships of sentences. Establish an adaptive large-scale model adjustment mechanism: Based on the large-scale model, a pre-set adaptive analytical model is constructed. This model has the ability to automatically adjust the analysis strategy according to the requirements of the think tank report and the characteristics of the data source. Specifically, the model first analyzes the requirements of the nuclear power report to clarify the types, levels and key points of information that need to be extracted. Then, it evaluates the characteristics of the data source, including the report format, the frequency of use of professional terms, and the complexity of the logical structure. Based on the report requirements and data source characteristics obtained from the analysis, the model automatically selects appropriate analysis algorithms and parameters and adjusts the analysis strategy. Information extraction algorithm application: Based on the adjusted analysis strategy, the preprocessed report is processed; Hierarchical Information Organization Architecture Construction: Construct a hierarchical information organization architecture, organize the extracted information at different levels according to certain logical relationships, and form a structured output, which is divided into a basic information layer, an analytical information layer, and a decision-making information layer. The basic information layer contains the raw data and basic facts in the report; the analytical information layer is the analysis and interpretation of the basic information; and the decision-making information layer is the targeted suggestions and strategies proposed based on the analytical information, providing direct support for decision-making in the nuclear power industry.

2. A multi-dimensional semantic parsing system for nuclear power think tank reports, characterized in that: It includes a data preprocessing module, an adaptive adjustment and parsing module based on a large model, an information extraction module, and a hierarchical information organization module; The data preprocessing module collects and classifies multiple types of reports, including input data, classification labels, initialization of the professional terminology database, construction of core terms, word segmentation and grammar parsing, and dynamic updating of the terminology database; The adaptive adjustment parsing module based on the large model includes: adaptive parsing model construction, which builds an adaptive parsing model based on the existing large language model through fine-tuning, and pre-trains the model using a dataset containing different types of nuclear power think tank reports to enable it to initially process text in the nuclear power field. Specifically, this includes user-side report requirement parsing, data-side feature evaluation, strategy matching and adjustment, parsing algorithm selection and execution, and confidence verification and processing. The information extraction module includes: basic information extraction and high-level information summarization; The hierarchical information organization module includes: information classification and storage.

3. The multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 2, characterized in that, The data preprocessing module includes: Input data: Collect nuclear power think tank reports in the categories of technology assessment, strategic planning, policy analysis, market research, safety and risk management, and environmental impact assessment, form structured / unstructured datasets, and store them in the nuclear power think tank report database; Category Tags: Establish metadata tags based on report type, issuing organization, time, and topic, and perform tag labeling and classification; Core Terminology Construction: Compile basic professional terms in the nuclear power field, input them into the nuclear power think tank terminology database, and initialize the terminology database to cover basic nuclear power terminology, policy and regulatory terminology, and market indicators; Word segmentation and grammar analysis: Natural language processing tools are used to segment the collected reports into words, breaking the text into word units. A grammar analyzer is used to analyze the sentence structure and mark the sentence components and logical relationships. When performing word segmentation on text, identifying technical terms, and establishing a technical terminology database for the nuclear power field, differentiated processing is applied to different categories of reports.

4. The multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 3, characterized in that, The differentiation process includes: For technology assessment reports, the focus is on identifying technical terms related to nuclear power technology innovation, technology route comparison, and equipment localization rate analysis; For strategic planning reports, pay special attention to the terminology related to development goals and technology roadmap comparison matrices; Policy analysis reports focus on the professional terminology involved in policy content analysis and industry impact assessment; Market research reports should identify terms related to market size and growth rate, regional market comparison, and cost competitiveness analysis. Safety and risk management reports focus on terminology related to safety technical indicator analysis and risk transmission path modeling. Environmental impact assessment reports should focus on pollutant monitoring data and the technical terminology used in pollution index calculations.

5. A multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 2, characterized in that: The user-side report requirement parsing receives the report analysis requirements input by the user, clarifies the types, levels, and key points of information to be extracted, and analyzes different report types when analyzing nuclear power report requirements: For technology assessment reports, it is necessary to clearly identify the key technological innovations that need to be extracted, the types of information on the comparison results of technical routes, and the key levels and key contents when analyzing the localization rate of assessment equipment. Strategic planning reports should identify the key details of development goals to be precisely extracted, the critical basis for comparing and selecting technology routes, and the core points regarding implementation paths and policy support. Policy analysis reports should clearly define the key policy content requiring in-depth interpretation, as well as the types and levels of information in the crucial dimensions of industry impact assessment. Market research reports should clearly define the extraction requirements and key areas of focus for information on different aspects such as market size and competitive landscape. Safety and risk management reports define the requirements and levels for safety performance assessments and the refinement of risk mitigation measures; Environmental impact assessment reports should clearly define the key points for interpreting pollutant monitoring data and extracting the basis for comparing and selecting ecological restoration technologies.

6. A multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 2, characterized in that: The data-side feature evaluation, when assessing data source characteristics, adds consideration of specific content characteristics for different report types: Technical assessment reports focus on the level of detail in technical parameters and the complexity of the explanation of technical innovations. Strategic planning reports consider the foresight of development goals and the feasibility of implementation path planning; Policy analysis reports, which provide in-depth interpretations of policies and comprehensive assessments of their impact on the industry; Market research reports assess the accuracy of market data and the objectivity of competitive landscape analysis; Safety and risk management reports examine the scientific validity of safety technical indicator analysis and the rationality of risk transmission path modeling. Environmental impact assessment reports should focus on the reliability of pollutant monitoring data and the rationality of the selection of ecological restoration technologies. Strategy matching and adjustment: Based on the report requirements and data source characteristics obtained from the analysis, the model can more accurately and automatically select appropriate parsing algorithms and parameters, and adjust the analysis strategy.

7. A multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 2, characterized in that: The basic information extraction method is used to extract basic information for different types of reports, employing keyword matching and rule extraction algorithms. In technical assessment reports, key matching and rule extraction are used to accurately extract basic parameters such as those of fourth-generation reactors and the localization rate of equipment. Strategic planning reports require accurate acquisition of basic data for development goals such as installed capacity planning; In policy analysis reports, quickly extract key policy clauses from the policy content summary; In market research reports, efficiently extract market size and growth rate; In safety and risk management reports, accurately extract the basic safety parameters from the analysis of safety technical indicators; In environmental impact assessment reports, accurate pollutant monitoring data must be obtained. Technical assessment reports delve into the advantages and disadvantages of technical solutions; Strategic planning reports should compare the advantages and potential risks of each route in the selection matrix, as well as the synergistic relationship and potential problems between the implementation path and supporting policies. Policy analysis reports assess the impact of policies on industrial chain costs and supply chains, as well as the logical connections between different policy provisions; Market research reports delve into the underlying reasons for differences in regional market comparisons, as well as the interplay of various factors in cost competitiveness analysis; Safety and risk management reports analyze the causal relationships between risk factors in risk transmission path modeling, as well as the key points for verifying the effectiveness of emergency plans; Environmental impact assessment reports examine the rationality of pollution index calculation methods and the key influencing factors in the comparison and selection of ecological restoration technologies.

8. A multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 2, characterized in that, The high-level information summarization uses machine learning and deep learning algorithms to summarize and generalize intermediate-level information: Technology assessment reports summarize industry trends in technological innovation and provide recommendations for nuclear power technology research and development decisions based on the assessment results. Strategic planning reports predict the medium- and long-term trends in nuclear power development and provide strategic recommendations for optimizing industrial layout and technological iteration paths. Policy analysis reports summarize the development trends of nuclear power policies at home and abroad, and provide targeted policy recommendations and coping strategies for governments and enterprises; Market research reports predict future development trends in the nuclear power market and provide strategic advice for corporate investment decisions; Safety and risk management reports summarize the development trends in nuclear power facility safety management and propose suggestions for improving risk mitigation measures and regulatory systems. Environmental impact assessment reports analyze the long-term impact trends of nuclear power projects on ecosystems and propose comprehensive recommendations for ecological protection and governance decisions.

9. A multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 2, characterized in that: The information classification and storage process categorizes the extracted information into basic information layer, analytical information layer, and decision-making information layer, stores it in a structured database, and adds tags to each information entry to indicate its report type, information level, and specific content category.

10. A multi-dimensional semantic parsing system for nuclear power think tank reports as described in claim 9, characterized in that, The basic information layer includes: technical assessment reports, which incorporate the original data from the detailed technical parameters and the basic descriptions of technical breakthroughs and innovations as basic information into this layer; Strategic planning reports categorize the basic data for development goals and the raw data for technology route comparison matrices as basic information. Policy analysis reports place the original policy provisions in the policy content summary and the basic data in the industry impact assessment in this layer; Market research reports use raw data on market size and growth rate, as well as basic information comparing regional markets, as foundational information. Safety and risk management reports include the raw data for safety technical indicator analysis and the basic data for risk transmission path modeling in this layer; Environmental impact assessment reports include the raw values ​​of pollutant monitoring data and the basic data for calculating pollution indices as basic information. The analytical information layer includes: technology assessment reports, which contain analysis results on the advantages and disadvantages of technical solutions and conclusions on the analysis of the supporting capabilities of the industrial chain; Strategic planning reports cover the analysis process and conclusions of technology route comparison, and the feasibility analysis of implementation paths and policy support; Policy analysis reports, including in-depth analysis of the impact of policies on the industrial chain and comparative analysis of different policies; Market research reports include comparative analysis of regional markets and a detailed process of cost competitiveness analysis; Safety and risk management reports include analysis results of risk transmission paths and analytical conclusions on the effectiveness verification of emergency plans; Environmental impact assessment reports involve the analysis of pollution index calculation results and the comparative analysis of ecological restoration technologies; The decision-making information layer includes: technology assessment reports, and recommendations on technology selection and R&D direction based on the results of the technology assessment; Strategic planning reports provide strategic decision-making recommendations for nuclear power development; Policy analysis reports provide recommendations for policy formulation and adjustment, as well as strategic suggestions for enterprises to cope with policy changes; Market research reports provide investment decision-making advice for businesses; Safety and risk management reports propose suggestions for improving the safety supervision system and optimization plans for risk mitigation measures; Environmental impact assessment reports provide decision-making recommendations on the ecological protection and governance of nuclear power projects; Cross-level logical connections are established to create relationships between information at different levels, forming a complete knowledge graph.

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