17 results about "Financial evaluation" patented technology

The invention relates to the technical field of enterprise portraits, in particular to a real-time dynamic enterprise portrait construction method and system based on high-dimensional financial data, and the method comprises the steps: (1) multi-source data integration and feature extraction; (2) constructing a knowledge graph ontology model; (3) dynamic event driving and real-time analysis; (4) updating the event triggering risk assessment model; and (5) generating and visualizing an enterprise portrait. According to the scheme, the defects of a traditional financial evaluation model can be overcome, more comprehensive, real-time and accurate risk evaluation and strategic guidance can be provided for investors, supervision organizations and enterprise managers, and financial data analysis is promoted to be converted from a single static normal form to a multi-dimensional dynamic normal form.

The invention relates to the technical field of intelligent financial evaluation, and discloses a news recommendation method, device and equipment based on an LLM big language model.The news recommendation method comprises the steps that initial recommendation news data and historical recommendation news data are obtained, and a basic data set is provided for subsequent analysis; extracting interaction data of the user for historical news from the historical recommended news data, and constructing a historical interaction database of the user and the historical news; basic information, interest tags and financial risks of the user are synchronously extracted, a user database is constructed, and a structured user portrait is formed; and inputting the initial recommended news data and the historical recommended news data into the BERT model. The method can be applied to the development of business systems such as financial science and technology, medical health, old-age care and the like, and through the strong context understanding capability of the LLM, the nuance of news contents and the specific requirements of users can be better captured.

The invention relates to the technical field of intelligent financial evaluation, and discloses a financial asset rating method and device based on a gradient boosting tree, equipment and a medium, and the method comprises the steps: preprocessing financial data; financial rating features related to financial asset rating in the preprocessed financial data are determined based on statistical analysis, domain knowledge and an automatic feature generation method, and the financial rating features are extracted; on the basis of a gradient boosting tree algorithm, a financial asset rating model is constructed according to financial rating characteristics, and the financial asset rating model is trained and optimized through a parameter tuning and model integration technology; and obtaining a prediction result and a result explanation of the financial asset rating model, recording the result explanation and generating an understandable rating report. The method can be applied to the development of business systems such as financial science and technology, medical health, old-age care and the like, and the accuracy and reliability of financial asset rating are remarkably improved through nonlinear modeling and high-dimensional data processing capacity.

The invention relates to the field of data processing, in particular to an energy storage market income measuring and calculating method based on a full-life-cycle financial model, and the method comprises the steps: constructing a basic parameter model; generating a market operation scene; determining a charging and discharging power track and an energy conversion path; calculating a scene-level income decomposition result; and calculating financial evaluation indexes, checking and selecting output or further optimization. By constructing a technology-market-finance three-layer coupled closed-loop measurement and calculation model, the physical realizability of income measurement and calculation is ensured, the price uncertainty is quantified into statistical distribution of finance indexes, whether the strategy is steady or not is evaluated, finally checking is performed, when checking is not passed, automatic tracing is performed for parameter adjustment, iterative calculation is performed again, and the accuracy of income measurement and calculation is improved. The problems of static distortion and low accuracy of the measurement result caused by dependence on single power market data and incapability of adapting to the battery attenuation condition are effectively solved.

The embodiment of the invention provides a financial analysis report generation method and a related device, and relates to the technical field of big data, and the method comprises the steps: obtaining multi-modal financial data of a target object; performing feature extraction on structured data and unstructured data in the financial data to obtain a feature vector set; the feature vector set comprises numerical features, text features and graph features; fusing the numerical value features, the text features and the graph features, and determining a financial evaluation result according to a fused context vector; obtaining contribution degrees of the numerical value features, the text features and the graph features to the financial evaluation result, and generating a decision path report according to the contribution degrees; and generating the financial analysis report according to the financial evaluation result and the decision path report. According to the method, the efficiency and accuracy of financial analysis report generation can be improved.

The application is particularly a real-time planning and obstacle avoidance method for robot inspection path data, relates to the technical field of robot autonomous navigation and intelligent control, and comprises the following steps: predicting a future charging time interval according to a built-in battery state of charge, extracting an expected value of a time-of-use electricity price in the future charging time interval as a shadow price, and combining an expected power consumption and a delay penalty function.In the application, the time-space fluctuation characteristics of the time-of-use electricity price of the power grid are integrated into the robot inspection path planning and obstacle avoidance decision-making process, a comprehensive financial evaluation system covering energy cost, task delay penalty and operation risk is constructed, and multi-dimensional target collaborative optimization is realized.Compared with a traditional planning method oriented to a single physical index, the scheme can intelligently identify the cost optimization space brought by the price fluctuation of the electricity price, reasonably adjust the inspection operation rhythm and charging time, and fully utilize the price difference of the power grid to realize active management of the energy cost.

A method for extracting Chinese financial evaluation units based on inter-character relationships includes: encoding Chinese financial text sentences at the encoding layer to obtain character vectors; feeding the character vectors and the inter-character relationship matrix into a graph convolutional neural network model, enhancing the Chinese character relationships between evaluation elements on the character vectors, and encoding the dependency relationships; constructing a grid of character pair relationships in the evaluation text, and differentiating the words on the rows and columns of the grid using two unit convolution kernels; performing convolution operations using image convolution kernels of different sizes in the row and column directions; for elements in the grid, fusing their corresponding word codes on the rows and columns and the dependency relationship codes between the two words, determining the element's label by decoding, and completing the extraction of the evaluation unit. The present invention can solve the problems of insufficient utilization of Chinese character relationships between evaluation elements, failure to distinguish different evaluation element types when representing grid elements, and insufficient utilization of Chinese character relationships within evaluation elements.

The invention discloses an analysis result determination method and device, electronic equipment and a computer program product. Relates to the field of financial science and technology, and comprises the following steps: determining a to-be-queried website, and obtaining M financial report data of a target mechanism according to the to-be-queried website, the to-be-queried website being a website address of a to-be-queried website associated with a financial report; a target analysis model is obtained, the M pieces of financial report data are input into the target analysis model, audit analysis indexes are obtained through processing, the target analysis model comprises a text processing module and a time sequence modeling module, and the audit analysis indexes are used for indicating financial evaluation results of a target mechanism in a preset time period; and determining auditing analysis results of the N financial statements associated with the target mechanism through the auditing analysis indexes, and sending the auditing analysis results to a client associated with the target mechanism. According to the method and the device, the technical problems of low efficiency and low accuracy when audit opinion analysis is carried out on the financial statement in related technologies are solved.

The invention relates to the technical field of intelligent Internet of Things supply chain management, in particular to an intelligent Internet of Things-based supply chain platform data management system, which comprises a data acquisition module, a contract execution module, a node control module, a credit evaluation module and a data asset module. The data acquisition module acquires material physical state information to generate a supply chain panoramic data stream; the contract execution module extracts key performance data and automatically verifies the key performance data according to intelligent contract logic, and generates a credible contract execution signal if a condition is met; the node control module triggers logistics and storage nodes to automatically control and synchronously update resource state records according to the signals; the credit evaluation module extracts features to generate a financial evaluation vector and calculates a dynamic credible score; and the data asset module is packaged into a standardized asset packet to synchronously authorize the alliance node. The system can realize the technical effects of contract automatic execution, node linkage control, credit dynamic evaluation and alliance collaborative decision.

The invention provides an ESG green financial product evaluation and management system, which belongs to the technical field of financial evaluation and management, and comprises a data collection module for collecting data such as news, reports and social media, a data analysis module for analyzing the collected data, and a risk evaluation module for integrating and analyzing the data to obtain a risk report, the system comprises an ESC module used for providing help for investors, an ESG information updating module used for updating ESC data and also capable of manually recording data and supplementing some missing data, and a scene analysis module used for constructing different scene hypotheses. Through the data collection module, the data analysis module, the risk assessment module, the ESG information updating module and the scene analysis module, the system can automatically update information records related to ESG, economic data and profit and loss conditions of investors can be obtained through analysis by setting corresponding scenes, the investors can obtain accurate messages, and the economic efficiency of the investors is improved. And great loss is avoided.

The invention discloses a credible data label construction and traceability method for a carbon financial scene, and relates to the technical field of general financial data processing. The method comprises a data label design module, a credible traceability module, a compliance out-of-domain module and an operation debugging module, a report is disassembled according to a carbon evaluation standard to form a full-amount label, and a power grid data index of a green electricity financial evaluation guide rule is 100% covered; a data quality evaluation system is established according to a two-dimensional traceability scheme, and an optimal mapping relation is screened to complete traceability; compliance out-of-domain is realized through the data transaction platform; and finally, outputting a carbon evaluation report through operation debugging. According to the method, the average time from data collection to report is shortened to 2.45 days from 31.1 days, the data quality index score is not lower than 99%, compliance and capitalization are both considered, the efficiency and scale of the common financial business are improved, and the financing cost of an enterprise is reduced.

The invention discloses a project full-life-cycle investment evaluation method and system based on multi-dimensional cost-benefit analysis, and relates to the technical field of planning project benefit evaluation.According to the project full-life-cycle investment evaluation method and system based on multi-dimensional cost-benefit analysis, multi-dimensional benefit indexes are obtained, comprehensive benefit analysis is carried out, project profit analysis is carried out in combination with operation and maintenance cost, discount rate and project construction cost, and the project benefit evaluation efficiency is improved. Dynamic integration of multi-dimensional benefits and cost after project implementation is realized, and implementation effects of the project in a full life cycle can be truly reflected after external interference factors are eliminated; meanwhile, a traditional static financial evaluation framework is broken through, a dynamic multi-dimensional evaluation system with discount revenue as the core is established, the influence of multi-dimensional benefit indexes such as economic benefits, operation benefits and strategic benefits on project values is considered, the adaptability to different industry projects and scenes is guaranteed, and the method is suitable for popularization and application. And the comprehensive value of the project in the whole life cycle can be accurately evaluated.

The application provides a three-dimensional and stereoscopic fusion data processing and management method and system. The data processing and management method comprises the following steps: constructing a business settlement system platform connected with external business system data, and classifying and managing according to the type of business settlement business; constructing a business accounting system platform, and performing operation management according to four business functions of business planning, business accounting, business analysis and business evaluation, and performing integrated state monitoring on the business accounting system platform; constructing a financial accounting system platform, and performing operation management according to four business functions of financial budget, financial accounting, financial analysis and financial evaluation, and performing integrated state monitoring on the financial accounting system platform; integrating the external business system data, the business settlement system platform data, the business accounting system platform data and the financial accounting system platform data to a business financial stereoscopic integrated platform, and forming a data core board of business management, business management and financial management.

The utility model discloses a display device for geological exploration and financial evaluation, and relates to the technical field of display devices, the display device comprises two bottom rods, an inclined rod, an extension rod and an inclined support rod, the two bottom rods are arranged side by side, one end of each bottom rod is provided with a first hinge piece, the inclined rod is arranged on the first hinge piece, and the extension rod is arranged on the inclined support rod. Extension rods are movably connected to the upper portions of the two inclined rods in an inserted mode, a distance adjusting assembly is installed between the two extension rods, bolts are installed on the inclined rods, adjusting holes are formed in the extension rods at equal intervals, the bolts are in threaded connection with the adjusting holes, and inclined supporting rods are arranged on the outer sides of the two inclined rods. The length of the display device can be adjusted through cooperation of the inclined rods and the extension rods, the display requirements of information display boards with different lengths are met, meanwhile, the distance adjusting assembly is installed between the two extension rods, the width of the display device can be adjusted, and the display requirements of the information display boards with different widths can be met.

The invention discloses a park low-carbon transformation financial evaluation and path optimization method based on a dynamic benchmark, and relates to the technical field of financial decision making, and the method comprises the steps: obtaining multi-source heterogeneous data of a park enterprise platform, and carrying out the credibility evaluation and timeliness analysis of the multi-source heterogeneous data; based on financial evaluation data and real-time monitoring data of Internet of Things equipment, a dynamic reference model is established by analyzing industry carbon emission trend and regional characteristics; based on the abnormal early warning signal and the elastic risk control strategy instruction set, automatically allocating a response event to a corresponding responsibility subject; generating a graded response instruction through a three-stage fusing mechanism; and synthesizing the hierarchical response instruction and the historical execution effect data, carrying out feature extraction and mode mining on the historical cases, and converting and outputting a transformation path scheme. According to the method, through multi-source data fusion and intelligent analysis, the risk identification and decision-making efficiency in the park low-carbon transformation process is remarkably improved, and it is ensured that the financial evaluation result has both accuracy and real-time performance.

The application discloses a kind of based on multi-specialty bill of quantities building SOFC power supply system economy evaluation method, it is related to distributed energy system economy evaluation technical field;The method takes the process, electrical, civil engineering, instrument control multi-specialty bill of quantities of building SOFC power supply project as core input, realizes evaluation by "list parameter analysis→dynamic investment estimation→multivariate financial evaluation→profit boundary determination" four general processes: first, the mapping rule of list and evaluation index is established, and the core parameters are extracted;Then, combined with regional quota and market benchmark price, a dynamic model is constructed to calculate the total investment;Introduce product maturity and operation parameter variable, calculate annual profit through general formula;Finally, the break-even point is determined by single-factor sensitivity analysis to determine the profit potential of the project.