26 results about "Feasibility study" patented technology

The invention discloses an automatic feasibility research report generation method fusing a knowledge graph and a large model, and relates to the technical field of leather inlaying, and the method comprises the following steps: extracting and cleaning information from multi-source heterogeneous data, and carrying out standardization processing on terminologies; constructing a knowledge graph, and converting the knowledge into embedded vectors which can be processed by a computer; according to user information, related sub-graph information is accurately retrieved from the knowledge graph, and cue words containing professional knowledge are dynamically combined; the large model generates a first draft according to cue words, a system automatically checks, and when conflicts are found, the model is required to be regenerated; and integrating the content which is verified to be correct with related standard terms, automatically adding a data reference source, and generating a document which is standard in format and clear in risk point. According to the method, real-time and automatic professional knowledge conformity checking and self-correction can be carried out on technical parameters and logic assertions output by the model in the generation process.

The invention provides a method for generating a highway engineering feasibility research report based on local large model training, which is based on a locally deployed large model, integrates multi-source data, and realizes mapping and verification from a fuzzy policy to a structured field through regular extraction of a standard field and construction of a highway engineering knowledge graph. The method adopts TensorRT to accelerate reasoning, injects a specification term table, optimizes term consistency in combination with comparative learning, and generates a specification text through LoRA fine tuning and a reward function. After route parameters are input, geometric features are calculated, a disaster database is associated to recommend a detour scheme, and chapter content is generated. And outputting a formal report based on the template, and ensuring data consistency through cross validation. RPA is adopted to capture standard updating, Kafka and Fiss vector libraries are combined to achieve compliance verification, knowledge graph incremental updating and conflict correction are triggered, and a full-process automatic and intelligent feasibility research report generation system is formed.

The invention provides a pre-auditing method and a pre-auditing system for power grid infrastructure main network project feasibility research initial setting. The method comprises the following steps: obtaining feasibility research review related data and initial setting review related data in various formats; carrying out character extraction, picture extraction and table extraction on the research and review related data and the initial review related data through a natural language processing component and an engineering drawing analysis component to obtain pre-input content; creating a rule engine based on an electric power engineering pre-review specification file, constructing a deep learning model, and training the deep learning model by taking the pre-input content as input and the review result as output; and reviewing the feasibility review related data and the initial review related data through the trained deep learning model, and outputting a review result as a visual report by applying a template. According to the invention, the files of the power grid project can be preliminarily reviewed automatically, and the efficiency is improved.

The invention discloses a capital construction feasibility investigation automation standard compliance verification method and system, relates to the technical field of data verification, and solves the problems that feasibility investigation in the prior art mainly depends on manual examination and is low in efficiency, high in subjectivity and easy to omit. According to the method, automatic checking of capital construction research and review automation standard compliance verification is realized through an intelligent algorithm, manual intervention is reduced, and the checking efficiency is improved; moreover, the advanced intelligent technology is utilized, so that the accuracy and the consistency of a verification result are improved; in addition, the standard library can be dynamically adjusted according to the updating of the capital construction feasibility research standard, so that the automatic standard compliance verification requirements of capital construction feasibility research examination in different regions and in different scales are met; moreover, the automatic standard compliance verification system for capital construction research and review can be upgraded and optimized according to actual requirements, so that the maintenance cost is reduced.

The invention relates to the technical field of engineering quantity digital statistics, in particular to an automatic engineering quantity calculation method and system based on a generated structure model, and the method comprises the steps: constructing a mapping table containing statistical items, data sources and calculation rules; filtering the structure model according to the type of the beam body, and extracting family examples and geometric parameters of the beam body and matched components; performing direct acquisition, formula calculation or correlation statistical operation on a hierarchical execution model; and generating a standardized engineering scale and embedding a design drawing. The system comprises a rule configuration module, a data extraction module, an engineering quantity calculation module, a scale generation module and a result output module. According to the method, the engineering quantities of concrete, reinforcing steel bars, drainage components and the like can be automatically and accurately counted, research, initial setting and construction drawing stage precision adjustment are supported, dynamic linkage updating can be achieved when model parameters are changed, manual errors are avoided, the technical and economic comparison and selection and cost control efficiency is improved, and the statistical requirements of professional components of water conservancy projects are met.

The invention relates to the technical field of power grid infrastructure projects. The invention discloses a structured design method and system for a feasibility research report of a power grid infrastructure project. The method comprises the steps of obtaining file data specified by related management of power grid infrastructure in a historical file library, and obtaining a structured text data set; performing structured information extraction on the text data set to obtain a structural framework set of the text; key review element extraction of the feasibility research content review rule is carried out on the text data set, and a key review element set is obtained; establishing logic association for each key review element, each node and each text in the text data set to obtain a mapping relation M of the key review element ID, the node ID and the text ID; according to the mapping relation M, a feasibility research report structure chart is formed, and a power grid infrastructure project feasibility research report template is created. The produced standardized template provides a solid and uniform data basis for treatment, integration and deep analysis of power grid data, thereby directly supporting scientificity and accuracy of investment decision.

This utility model discloses a shared structure for ventilation and safety tunnels in a phased development hydropower station in the field of water conservancy and hydropower technology. It includes two underground powerhouse cavern groups: Group 1 and Group 2. Access tunnels 1 and 2, respectively, are located at opposite ends of Group 1 and Group 2, connecting their interiors to the surface. At the end of Group 1 closest to Group 2, a branch tunnel 1 for ventilation and safety tunnels and a main tunnel for air intake and safety tunnels are located, connecting their interiors. A branch tunnel 2 for ventilation and safety tunnels, connecting to the interior of Group 2, branches off from the main tunnel. An underground powerhouse exploration tunnel also branches off from the main tunnel. This utility model, by branching off the underground powerhouse exploration tunnel from the main tunnel, can significantly shorten the length of the exploration tunnel, effectively reducing project investment and the design period during the feasibility study and survey phases.

The application provides a method for generating a feasibility study report of highway engineering based on local large model training, based on the large model deployed locally, integrating multi-source data, extracting standard fields through regularization and constructing a highway engineering knowledge graph, realizing the mapping and verification of fuzzy policies to structured fields. Adopting TensorRT to accelerate inference, injecting a standard terminology table, combining contrast learning to optimize terminology consistency, and generating standard text through LoRA fine-tuning and reward function. After inputting the route parameters, calculate the geometric characteristics, recommend the avoidance scheme by associating the disaster database, and generate chapter content. Based on the template, output the formal report, and ensure data consistency through cross-validation. Adopting RPA to grab the standard updates, combining Kafka and Faiss vector library to realize compliance verification, triggering incremental update and conflict correction of the knowledge graph, forming a full-process automated and intelligent feasibility study report generation system.

The embodiment of the invention provides a power grid project comprehensive risk knowledge base construction method and device, equipment and a medium, and the method comprises the steps: obtaining project data of each power grid project, the project data comprising a feasibility research report, a management file and a risk management case; according to the feasibility research report, the management file and the risk management case, determining a target risk feature of each type of power grid project; according to a causal relationship between a risk source class and a risk class in the target risk characteristics of each class of power grid projects, constructing a risk ontology model of each class of power grid projects; and determining a power grid project comprehensive risk knowledge base according to the risk ontology models of different types of power grid projects. Alignment and fusion of entities in different special risk ontology models are realized, a unified comprehensive risk knowledge base is formed, information barriers among special items are broken, and cross-special associated risk analysis and macroscopic decision are supported.

The invention provides a wind and light same-field power station layout method considering the influence of a photovoltaic array on a wind power plant, and belongs to the technical field of renewable energy source development, and the method comprises the steps: constructing a photovoltaic array entity model in a target wind and light same-field power station, carrying out the CFD simulation, and obtaining the flow field distribution of the photovoltaic array; obtaining the equivalent roughness distribution of the photovoltaic array by using an equivalent roughness calculation model considering the influence of the photovoltaic array, calculating the generating capacity of the wind turbine generator set at the preset candidate position based on the equivalent roughness distribution of the photovoltaic array and the common sea surface roughness distribution without considering the influence of the photovoltaic array, and obtaining the generating capacity loss distribution of the wind turbine generator set; and obtaining the site selection of the photovoltaic array and the wind turbine generator in the wind-solar same-field power station by combining the power generation loss distribution of the wind turbine generator. According to the method, the influence of the photovoltaic array on the wind field is quantitatively evaluated through the equivalent roughness, the precision of flow field coupling analysis of the wind-light same field is improved, and a scientific basis is provided for feasibility research, layout optimization and income evaluation of the wind-light same field.

The invention belongs to the technical field of power equipment monitoring, and particularly relates to an artificial intelligence-based power engineering supervision and monitoring method and system, and the method comprises the steps: obtaining an authorized technical improvement and overhaul project list from a power grid resource business platform in response to successful login, building the correlation between a supervision and monitoring device and a target project, and carrying out the supervision and monitoring of the target project; downloading feasibility research report structured data corresponding to the project, an associated power equipment asset code and power industry mandatory regulation text data of a specialty to which the project belongs; according to the invention, through double authentication of face living body detection and passwords in the step S1, unique binding of'human-machine-account 'is ensured, and false use of the identity is completely eradicated; and S3, Beidou differential positioning and anti-metal electronic tag scanning are creatively fused, the positioning precision is improved to a meter level / sub-meter level in a 500kV strong electromagnetic interference environment, whether a supervisor accurately arrives at an equipment operation point or not is directly checked, the recognition rate of virtual post behaviors such as card punching and regional wandering is improved, and supervision is guaranteed to perform in place from the source.

The invention discloses a multi-dimensional coupling abandoned mine large-scale physical energy storage potential grading evaluation method, belongs to the field of mine resource utilization, and aims to solve the problem that a multi-dimensional decision-making system for resources, society, engineering, economic environment and the like exists when abandoned mine resources are used for large-scale physical energy storage development in China at present. The invention provides a scientific, accurate and efficient multi-dimensional coupled abandoned mine large-scale physical energy storage potential grading evaluation method for solving the problems of insufficient adaptability of different energy storage technical routes and abandoned mine resource conditions and the like. The potential of the abandoned mine for large-scale physical energy storage is evaluated through the processes of preliminary screening, detailed technical evaluation, economic evaluation, risk quantification, comprehensive decision making and the like, the method is used for the feasibility research stage of related projects, then engineering decision making and project investment are directly guided, and the method has remarkable positive effects and industrial practicability.

The application discloses a kind of causal screening and joint optimization's hydropower engineering investment prediction method and system, belong to hydropower engineering cost prediction technical field.For the feature causal structure is not clear in hydropower engineering investment prediction, dimension reduction and modeling parameter split optimization leads to low prediction accuracy under small sample high-dimensional data, poor generalization ability, the application adopts double machine learning algorithm to carry out causal inference screening key influence factor, constructs the joint prediction model of partial least square regression and support vector regression, through improving bayesian optimization to jointly optimize dimension reduction dimension and support vector regression hyperparameter, and feature standardizer, partial least square dimension reducer and support vector regression predictor are serialized and solidified into independently loadable model package.The application significantly improves prediction accuracy and robustness, realizes the engineering closed loop from parameter input to investment prediction, and is suitable for rapid investment estimation in the feasibility study stage of hydropower engineering.

The invention provides a project decision and effect prediction method and device based on expert knowledge extraction and a medium, and belongs to the technical field of power grid enterprise achievement transformation management. The method comprises the following steps: receiving a feasibility research report text and expert review data, and extracting a core text through a keyword matching rule; carrying out word segmentation and segmentation on the extracted content by using a built-in word segmentation device of the pre-training language model, obtaining vector representation of each segment, and distributing a weight to each segment based on an attention mechanism; unifying the dimension of the expert review score in the expert review data; constructing a deep learning model based on pre-training BERT, and adopting a staged progressive training strategy; and collecting a feasibility research report text to be decided, inputting the trained deep learning model, and outputting a project approval decision. According to the method, through intelligent processing of the feasibility research report text and the expert review data of the incubation project, the structured review knowledge is extracted, the deep learning model is constructed, and the project optimization efficiency and consistency are remarkably improved.

This application discloses a method, apparatus, electronic device, and medium for calculating the heating capacity of geothermal fields based on pressure field factors. The method may include: determining the expression of a well function based on a single-well extraction model; calculating the well-to-well spacing in the well-to-well model, which includes pumping wells and reinjection wells, based on the expression of the well function; calculating the heat extraction capacity of a single well; calculating the number of pumping wells based on the well-to-well spacing; and calculating the heating capacity based on the heat extraction capacity of a single well and the number of pumping wells. This invention starts from the changes in the pressure field of a geothermal field to determine a reasonable spacing between extraction and reinjection wells to ensure the relative stability of the pressure field and avoid a significant drop in the liquid level of pumping wells. Based on the well spacing, a geothermal field development well network is deployed, and the scale of geothermal field development and utilization and the geothermal heating capacity can be further calculated, providing a scientific basis for the sustainable development and utilization of geothermal fields and the preparation of feasibility studies for geothermal heating projects.

The invention discloses a hydraulic machinery feasibility research report intelligent review method and system. The method comprises the following steps: constructing a data layer, a model layer and an application layer; a multi-source data acquisition module of a data layer is adopted to access three types of heterogeneous data sources and carry out intelligent adaptation, cross-modal cleaning preprocessing is carried out on acquired data, then the data are input into a hierarchical and classified storage module, and a domain knowledge base is constructed; constructing a large language model, optimizing large language model parameters based on hydraulic machinery field annotation data, inputting a to-be-examined document into the large language model to obtain a core field, and inputting the core field into a compliance comparison verification module for verification; constructing an intelligent risk assessment system, generating a risk distribution thermodynamic diagram to display the risk level of each index, constructing a strategy matching unit association library based on a domain knowledge base, outputting a coping strategy, and performing structured display on an examination result. According to the method, multi-modal intelligent analysis, compliance accurate verification, risk quantitative evaluation and man-machine collaborative optimization of the hydraulic machinery feasibility research report are realized.

The invention provides an engineering project feasibility research analysis-oriented geographic information knowledge graph construction method, which is used for deeply mining complex relationships among geographic elements by fusing multi-source geographic information data, and carrying out structured organization and efficient storage in a knowledge graph form. The method comprises the steps of geographic information data collection, data preprocessing and enhancement, knowledge graph construction, geographic element extraction model construction, entity knowledge matching and fusion and the like. According to the method, comprehensive, accurate and dynamically updated geographic information support can be provided for engineering project feasibility research and analysis, and the efficiency and scientificity of engineering research and analysis are remarkably improved.

This invention discloses a hierarchical review method for hydraulic machinery feasibility study reports based on a large language model. The method involves collecting and parsing the original hydraulic machinery feasibility study report to generate a logical structure tree and structured text. Based on the logical structure tree, hierarchical gating and strategy scheduling are performed to generate gating scheduling data. According to the review strategy parameters in the gating scheduling data, the structured text is subjected to three-constraint parallel block partitioning to obtain a set of sub-documents. Using the gating scheduling data, an auditable adversarial compliance review is performed on each sub-document in the sub-document set to form a preliminary review conclusion set. The preliminary review conclusion set is aggregated, and cross-sub-document consistency adjudication and result summarization are performed to generate a final review conclusion. This invention completely and accurately identifies compliance issues in long-form hydraulic machinery feasibility study reports.

The invention discloses a power grid digital project cost measuring and calculating method and system based on multi-dimensional feature aggregation, and the method comprises the following steps: extracting and quantifying multi-dimensional features from a feasibility research report of a power grid digital project based on a natural language processing technology, and constructing a feature pool; a dual-channel measurement and calculation module is adopted to carry out preliminary measurement and calculation on project cost, and research and development type cost and non-research and development type cost are calculated respectively; based on historical project settlement data, training by adopting a gradient boosting decision tree regression algorithm to obtain a dynamic weight vector, and then carrying out weighted fusion on research and development fees and non-research and development fees to obtain project measurement and calculation fees; and carrying out multiple times of random sampling on the feature values in the feature pool by using a Monte Carlo method, generating statistical distribution of project measurement cost, determining a confidence interval of the cost according to the statistical distribution, and providing a scientific risk reference for budget review. According to the invention, the cost calculation precision can be improved, and the quantitative evaluation of the budget risk can be realized.

The application provides an RAG knowledge base construction method based on LLM dynamic text division. The power grid system feasibility study report is textually processed by adjusting an LLM dynamic text division scheme, text block division and vectorization processing based on semantic segmentation are performed, an RAG vector database is constructed by using an Embedding model for storage, a model is trained by adjusting and setting parameters, and an optimal performance model meeting a condition is obtained.

Embodiments of the present invention disclose a method and system (103) for labelling normal and abnormal regions in data related to a paper machine (101) for web break prediction and labelling various parameters for root cause analysis using machine learning models. Further, the present invention relates to using the generated labels to train machine learning models to predict web breaks and root causes of web breaks. Thereafter, the present invention includes using machine learning models in real-time to predict breaks in the web, analyze root causes of breaks in the web and estimate break times. The proposed automated data labelling framework facilitates autonomous model improvement of deployed models, transfer learning, adaptive learning of reduced parameters and automated feasibility studies.

The application discloses an enterprise project digital management and control method and device based on an AI large model, and relates to the technical field of artificial intelligence, which comprises the following steps: receiving a feasibility study report and a project data table, extracting a text feature vector and a numerical feature matrix through a lightweight large model, and injecting Laplace noise to generate an encrypted feature vector set; inputting the feasibility study report into a knowledge privacy protection review intelligent agent for content analysis, performing risk checking and historical case matching through real-time query of a dynamic knowledge graph, and generating a structured review result; performing logical checking on the structured review result, generating interpretable evidence, adding the interpretable evidence to the structured review result, and obtaining a review report with an evidence chain; and introducing a lightweight large model in the feature extraction stage, combining a Laplace noise injection and an encryption mechanism, and significantly reducing the reverse inference risk caused by gradient leakage.

The invention provides a method for quickly generating a project report of a feasibility research review system of a power grid company and related equipment, and belongs to the technical field of data processing. The method comprises the following steps: constructing a fixed database; making a report template set according to report requirements; updating feasibility research report form data of the project to be reviewed to a change database; obtaining project basic information and category information of the to-be-processed project; performing data reading according to the project basic information and the fixed database, and checking and correcting the read data to obtain project data; performing template filling according to the project data and the report template set to obtain a project basic surface analysis table; reading feasibility research report form data from a change database according to the basic information of the project; and performing template filling according to the category information, the feasibility research report form data and the report form template set to obtain a project scheme filling form. According to the method, the report compiling work efficiency is high, the data standard is unified, and high efficiency, accuracy and effectiveness are achieved.

This application relates to a cloud-based data interaction and assisted mapping system for water conservancy surveying, and falls within the field of water conservancy surveying data processing and mapping technology. It includes a data integration module, a standardization processing module, a multi-layer visualization module, and an interactive query module. The data integration module collects regional geological data, hydrogeological data, geomorphological data, and exploration data. The standardization processing module unifies the coordinates, scale, and attribute standards of the data. The multi-layer visualization module includes at least five geographic information layers. The interactive query module includes a base map switching submodule, a data import submodule, and a parameter query submodule. This system can process scattered and diverse regional basic data, enabling rapid querying, visualization, and comprehensive analysis of regional data. It facilitates the acquisition of electronic visualization results of various existing data to assist in engineering design and decision-making at various stages of water conservancy projects, including preliminary planning, feasibility studies, and preliminary design.

The invention relates to the technical field of document report generation, in particular to a feasibility research report dynamic template generation method oriented to multi-source heterogeneous data. The technical problems that in the prior art, according to a feasibility report dynamic template generation method, the template structure is static and cannot be flexibly regulated and controlled, the feasibility report template cannot be generated according to the data scene type, and the content of the feasibility report template cannot be adjusted before the feasibility report template is generated are solved.

This invention discloses an intelligent generation and dynamic optimization method and system for full-process consulting feasibility study reports based on a large model. It constructs an integrated intelligent system whose core architecture consists of a multi-source data real-time fusion module, a professional computing module, an intelligent report generation module, and a dynamic optimization and sensitivity analysis module. These four modules work collaboratively to form a closed-loop workflow from data input to report generation and then to dynamic optimization. This not only solves the problems of low data integration efficiency, difficulty in cross-disciplinary collaboration, and subjective sensitivity analysis in existing technologies, but also upgrades traditional static feasibility study reports into interactive and simulated dynamic decision-making tools, comprehensively improving the generation efficiency, data accuracy, and decision-making reference value of full-process consulting feasibility study reports.