62 results about "Feasibility study" patented technology

The invention relates to the technical field of data mining, and discloses a feasibility research data intelligent mining system which comprises a heterogeneous data acquisition module, a semantic association analysis module, a decision map generation module, a time sequence feature correction module and a knowledge distillation optimization module. The heterogeneous data acquisition module captures data features through a multi-source data sensing node and a dynamic dimension fusion network and constructs a multi-layer topology; the semantic association analysis module analyzes semantic association by using a concept topology modeling unit, a knowledge vector clustering unit and a multi-mode switching link; the decision graph generation module generates a core decision reference framework based on strategy optimization nodes and a rule inference engine; the time sequence feature correction module performs time sequence correction and noise compensation on the semantic association; and the knowledge distillation optimization module detects the deviation through the entity relationship evaluation network and feeds back the optimization decision framework. The system realizes multi-source data intelligent acquisition, semantic dynamic analysis and decision graph adaptive generation, and improves the accuracy and efficiency of feasibility research data mining.

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 wind power project post-evaluation large model system and method, electronic equipment and a storage medium, and the system comprises a data collection module which is used for collecting document data and equipment operation data of a wind power project, and the document data comprises a feasibility research report, a design report and project approval materials of the early stage of the wind power project; the classified storage module is used for identifying the document data through an OCR (Optical Character Recognition) technology, converting the document data into a preset format, and classifying and storing the document data according to an established historical document library; the training module carries out training through the data of the multiple wind power projects based on pre-training, supervised fine tuning, reward modeling and reinforcement learning processes and is used for extracting post-evaluation data of the wind power projects; and the post-evaluation module is used for generating a post-evaluation report of the wind power project according to the post-evaluation data.

The invention discloses a method and system for generating an engineering design specification based on a large language model, and the method comprises the steps: converting a plurality of formats of engineering documents into structural data through a non-structural document analysis module, and carrying out the multi-modal storage through a vector database and a relational database; a document recall module is combined with an expert predefined generation strategy and user input information to intelligently retrieve related materials from a vector database; and finally, calling a large language model through a document generation module to rewrite, expand or independently generate recalled contents, and outputting a highly customizable design specification which conforms to engineering specifications. According to the method, the efficiency, accuracy and specialty of engineering design document generation are remarkably improved, multi-section concurrent generation and manual fine adjustment are supported, and the method is suitable for multiple engineering stages such as project proposal, feasibility research report and construction drawing design.

The invention discloses an intelligent compilation method for a feasibility research report fusing a big data model and artificial intelligence, relates to the technical field of information, and solves the technical problem that it is difficult to obtain quantized values from multiple aspects of market scale, project income and technology to analyze project feasibility. Comprising the following steps: collecting and preprocessing multi-source data; an ARIMA model is constructed to output a market scale prediction value, and partition assignment is carried out; processing corresponding structured data through XGBoost, analyzing time series data through Transform, predicting ROI and CBR through a full connection layer after feature fusion, and weighting to generate a comprehensive income evaluation index prediction value; calculating a technical equipment performance evaluation index and a technical improvement evaluation index; constructing a linear regression model, and outputting a comprehensive technology evaluation index prediction value; and calculating a score according to the market scale partition value, the comprehensive income evaluation index prediction value and the comprehensive technical evaluation index prediction value, comparing the score with a threshold value, and automatically generating an analysis report.

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 is suitable for the technical field of compliance inspection, and provides a material compliance inspection method and device, electronic equipment and a storage medium. The material compliance examination method comprises the steps of obtaining a to-be-examined picture in a feasibility research report, wherein the to-be-examined picture comprises at least one target object; based on the to-be-examined picture and the segmentation model, an optical character recognition technology is adopted, an object knowledge base is constructed, and the object knowledge base comprises a mapping relation among a target object, the area of the target object and the number of the to-be-examined picture; on the basis of the object knowledge base, constructing cue words; and performing compliance review on the target object based on the feasibility research report, the object knowledge base, the cue word and the big language generation model. According to the technical scheme provided by the invention, automatic compliance review can be performed on the materials in the picture of the feasibility research report through the big language generation model, the segmentation model and the optical character recognition technology, and the efficiency and accuracy of the compliance review of the materials are improved.

The invention relates to the technical field of data integration, and discloses a multi-source data integration-based project exhaustion report automatic generation method. According to the multi-source data integration-based project exhaustion report automatic generation method, a report template is preset, public content is defined as fixed content, specific content is set as variables and numbered, and then required information is obtained from different data sources and comprises the steps of obtaining enterprise information from an API interface, extracting pledge information from a network through an RPA technology, and generating a project exhaustion report. And identifying the content of the contract file by using an OCR technology, removing repeated data, numbering, matching variable numbers in a preset template with the obtained data numbers to form a mapping relationship, finally integrating fixed contents and variable contents according to the preset template, generating a feasibility research report in a uniform format, and performing report consistency check to obtain a feasibility research report. The accuracy of the generation time and the report is evaluated, the generation efficiency and accuracy of the exhaustion report are improved, and the requirements of different projects are met.

The invention belongs to the technical field of surface mines, and particularly discloses a large surface mine slope angle optimization method based on rock mass quality, which is used for analyzing engineering geological conditions, slope stability conditions and development trends of rock mass by surveying earth surface engineering geology of a mining area. Investigating and counting the mine slope rock mass, and determining a sampling interval and a drilling scheme according to a pre-feasibility research report; drilling and acquiring parameters corresponding to drilling samples, and grading the rock samples in the mining area according to the parameters of the drilling samples and a grading method; carrying out plane and vertical partition on the mining area slope, and calculating rock mass mechanical parameters of each area and lithology; establishing a small slope three-dimensional model according to an open-pit mining boundary, changing a slope angle, and calculating a safety coefficient to meet a predetermined specification so as to determine a maximum slope angle; an overall slope model is established, the maximum slope angle is set, and the safety coefficient is calculated to take the slope angle of the vertical partition which is improved to the maximum degree as the recommended slope angle. The method has the advantages of being simple, high in operability, stable in slope and low in stripping ratio.

A system and method for labelling normal and abnormal regions in data related to a paper machine for web break prediction and labelling individual parameters for root cause analysis, using machine learning models, includes using the machine learning models in real-time to predict breaks in the paper web, analyzing root cause for the breaks in the paper web, and estimating a time to break. An auto-data-labeling framework helps in adaptive learning for autonomous model improvement of the deployed model, transfer learning, shortlisting parameters and automating feasibility study.

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 application provides a power distribution network feasibility report automatic generation method based on an LDA probability model, including: obtaining power grid equipment account information and electrical topology connection relationship, generating an account document containing equipment name, type, position, connection relationship information; taking the obtained account attribute and electrical topology relationship as a benchmark grid graph structure, and marking out standby line and standby equipment data, generating a marking document containing the benchmark grid structure and marking information; training an LDA model, setting the number of topics, performing iterative training, extracting the topic distribution of each document and the vocabulary distribution of each topic; based on the redundancy information, a feasibility report generation model is constructed, the feasibility report generation model is used for analyzing potential topics and modes in the redundancy information, and a power distribution network redundancy feasibility report is generated.

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 present invention discloses an intelligent evaluation method and system for power project investment based on artificial intelligence algorithm. The method includes reviewing the feasibility of the project in the feasibility study stage of the power project, including evaluation of technical feasibility, economic feasibility and other aspects; conducting intelligent post-evaluation of the investment effect of the project in the investment stage of the power project, using artificial intelligence algorithm to analyze and evaluate various indicators of the investment project, including evaluation of investment return rate, asset-liability ratio and other aspects; and conducting intelligent operation and maintenance evaluation of the wind turbine in the operation and maintenance stage of the power project, analyzing and evaluating the operation data of the wind turbine, including evaluation of the performance, operation status, fault diagnosis and other aspects of the wind turbine. The system includes an intelligent post-evaluation subsystem for power project investment, a feasibility study report review subsystem, and an intelligent operation and maintenance evaluation subsystem for the wind turbine. The present invention can comprehensively and accurately evaluate the feasibility, investment effect and operation status of the power project.

A construction project management and control method comprises the following steps: (1) in a project establishment stage, business department personnel and related technical support departments compile a proposal; (2) in a feasibility research stage, business department personnel and related technical support departments compile and fill a feasibility research report on the basis of proposal reply and project approval evaluation; (3) an initial setting stage; (4) an adjustment reporting stage; (5) a plan implementation stage; (6) a construction project completion acceptance stage; and (7) post-evaluation stage. The construction project management and control method is designed for improving the construction project management informatization level, full-life-cycle management from project planning, argumentation, project approval, feasibility research, initial setting, implementation, completion acceptance to post evaluation can be achieved, full-life-cycle management of the project can be achieved, meanwhile, through monitoring of various indexes, the construction project management information level is improved, and the construction project management information level is improved. And the implementation progress of the project can be better mastered, and the project risk is reduced.

The present invention discloses a method, system and device for intelligent parsing and information extraction of a feasibility study report, which relates to the fields of natural language processing and machine learning technology. The method is to first identify each chapter title in the report text by using a regular expression or a syntactic analysis method based on natural language processing technology after reading the feasibility study report document to obtain the report text, and determine the title category of each chapter title according to the title hierarchy structure. Then, for any chapter title whose title category belongs to the key objects of report review, the corresponding chapter content is extracted from the report text, and key business information is extracted from the chapter content by combining the Word2Vec model, named entity recognition and semantic matching technology. Finally, each chapter title and the corresponding title category / and key business information are summarized and output for display. This method has the advantages of high efficiency, high accuracy, versatility, high intelligence and scalability of information extraction.

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 invention provides a feasibility research quality evaluation method of a distribution network project and a related device, and the method comprises the steps: obtaining feasibility research basic data of a target project, the feasibility research basic data comprising normative data and instance data; constructing a feasibility research quality evaluation rule base according to the normative data; constructing a physical element network according to the instance data; constructing a mapping relation network according to the feasibility research quality evaluation rule base and the physical element network; and calculating the feasibility research quality score of the target project according to the mapping relation network. Thus, the feasibility research quality evaluation rule base is constructed through the multi-level normative data, the related requirements of the feasibility research quality evaluation of the distribution network project are comprehensively covered, the physical element network is constructed through the instance data, the main content of the target project is extracted, and the incidence relation is formed. And a mapping relation network is constructed, and the feasibility research quality score of the target project is calculated based on the mapping relation network, so that the feasibility research quality evaluation efficiency and credibility can be improved.

The present application provides a container-based cloud native capacity management method, system, electronic device and storage medium. When an application feasibility study demand of an application system is detected, feasibility study information of the application feasibility study demand is obtained, and whether the application feasibility study demand meets the immediate allocation condition is determined based on the feasibility study information; if the application feasibility study demand meets the immediate allocation condition, the application feasibility study demand is determined as a feasibility study demand to be allocated; based on the feasibility study information of the feasibility study demand to be allocated and the available resource information of the target container resource pool, it is determined whether the target container resource pool meets the capacity allocation condition; wherein the target container resource pool is the container resource pool to which the feasibility study demand to be allocated belongs; if the feasibility study demand to be allocated does not meet the capacity allocation condition, the target container resource pool is expanded; and capacity is allocated for the application system based on the feasibility study information of the feasibility study demand to be allocated and the expanded target container resource pool.

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 present invention discloses a distribution network feasibility study control method, system, medium and equipment, including: wherein the method includes: subdividing the entire distribution network feasibility study process into multiple control units, wherein each control unit includes at least one control node, and the control node is determined according to the factors affecting the quality and efficiency of the feasibility study; and performing differentiated management on the distribution network feasibility study process according to each control node in the control unit. The distribution network feasibility study control method in the present invention, by subdividing the entire distribution network feasibility study process into multiple control units, and the control unit determines the control node according to the factors affecting the quality and efficiency of the feasibility study, and then performing differentiated management according to the control node, is conducive to early warning of control nodes with problems, and when performing "city-county-design" vertical management, the feasibility study management department can reduce the management level, conduct multi-level and multi-departmental intervention at the same time, more accurately locate the responsible unit, and improve the quality and efficiency of the distribution network feasibility study.

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.

The utility model discloses a building engineering bidding display device, including base, support structure and folding display structure, the support structure is provided on the base, the folding display structure is provided on the support structure, the support structure includes lifting adjustment column, fixed seat and support frame, the lifting adjustment column is fixed on the base, the fixed seat is fixed on the support frame, and the support frame is fixed on the fixed seat. The fixing base is fixedly arranged on the lifting adjusting column, and the supporting frame is fixedly arranged on the fixing base. The utility model belongs to the technical field of building engineering equipment, particularly relates to a display device for building engineering bidding and tendering, and effectively solves the problems that the existing display device for building engineering bidding and tendering in the market generally only has one board for display, occupies large space and is inconvenient to disassemble and transfer, and a bid invitation party cannot carry out bidding after a project is brief. And a feasibility research report of the bid-winning powder needs to be pasted at a corresponding position, so that the problem that pasting plates are disordered is solved.