172 results about "Business entity" patented technology

The invention relates to a low-code visualization optimization method and system for power credential development, and the method comprises the following steps: S1, obtaining data in a credential environment, recognizing the interface difference and performance bottleneck points between components through a compatibility test matrix, and building a standardized adaptive interface specification; s2, obtaining a standardized business object model based on the standardized adaptive interface specification; based on the business object model, defining attributes, relationships and constraint rules of each business entity, and forming a data dictionary and an interface specification special for the electric power field; s3, on the basis of the data dictionary and the interface specification special for the power field, constructing a DSL (field specific language) of power visualization; s4, a dragging type interactive design is adopted, and the visual operation is converted into a DSL configuration file; and S5, automatically converting the DSL configuration into a React or Vue component code through a code generation engine, and carrying out compatibility optimization on the kernel of the creative browser. According to the invention, the power credential development efficiency is effectively improved.

The invention relates to an enterprise multi-dimensional business index analysis data resource optimization method, a medium and equipment, and the method comprises the steps: collecting a multi-dimensional business index analysis request of an enterprise business system, carrying out the mode recognition and feature extraction of the multi-dimensional business index analysis request, and generating business entity features; and inputting the business entity features into the resource allocation model, outputting a priority score and a resource demand prediction result, calculating an optimal resource allocation scheme through an optimization decision model based on the priority score and the resource demand prediction result, and performing automatic resource scheduling according to the optimal resource allocation scheme to generate a business decision instruction. And finally outputting a business decision instruction and a data resource management report. The resource reuse potential among different requests is automatically identified and quantified by adopting a set similarity algorithm, so that the enterprise data resource utilization efficiency is remarkably improved, the redundancy calculation consumption is reduced, and the resource allocation is more reasonable and efficient; manual intervention is reduced, and enterprise data resource management efficiency and response speed are improved.

The present application provides a multi-terminal ecosystem fund allocation management system for an e-commerce enterprise, comprising: acquiring tax jurisdiction information of each business entity, comparing tax policies of different regions, and determining whether there is a difference between the tax policies; if there is a difference between the tax policies, acquiring from financial systems of each business entity fund distribution-related transaction data and tax information, and obtaining a unified-format tax information dataset by means of data cleaning and integration; using an association rule mining technology, finding an association mode between fund allocation and tax processing from the tax information dataset, so as to form a tax association rule library for fund allocation; on the basis of the tax association rule library for fund allocation, constructing a tax benefit evaluation model for fund allocation, and predicting a tax impact of a solution by means of inputting different fund allocation solution parameters.

The invention provides a business resource optimization management method and system based on computing power demand prediction, and the method comprises the steps: collecting multi-source heterogeneous data in real time, so as to construct and continuously update a topological graph which represents the dynamic association relationship among a business entity, a logic service entity and a physical resource entity; a time sequence state of a topological graph is input into a prediction model fusing a graph structure and continuous time modeling, multi-dimensional evolution calculation of a node state is carried out by the prediction model, a dynamic resource value signal is generated by a central scheduler under a hierarchical decision framework, a plurality of service unit intelligent agents are guided to carry out distributed collaborative decision, and a multi-dimensional resource value signal is generated by the central scheduler. Iteratively generating an optimal resource allocation scheme; and before the optimal resource allocation scheme is executed, potential risk assessment and credible automatic execution are carried out. Therefore, in a complex dynamic commercial environment, the computing power resource is converted from global perception, accurate prediction and intelligent optimization to risk-controllable closed-loop management and adaptive configuration.

In an identity governance system, processes enable secure delegation of authority to create and manage identities for users of a computer network and to provision access entitlements to users to network resources in a manner that ensures compliance with security and access policies. The provisioning of access entitlements to users is controlled based on a model of relationships between business entities that the computer network serves. Identities of users are assigned to a node of the model. Provisioning of entitlements for coarse and fine-grain access is restricted based on this assignment. The node of the business relationship model limits the scope of what user access entitlements can be assigned, to whom they may be assigned, and who may assign them.

The invention relates to the technical field of complex equipment data management, in particular to a model-driven complex equipment data relation automatic construction method and system. The method comprises the following steps: constructing a business entity meta-model standard framework comprising a base layer and a domain extension layer through a meta-model technology, and establishing a dual-check system; a hierarchical modeling method is adopted to construct a data model system, and model management is performed through a multi-source heterogeneous data reference mechanism and semantic version control; constructing a data association relationship by adopting a multi-modal fusion method and integrating structural analysis and semantic reasoning; and finally, four-dimensional quality evaluation of integrity, consistency, timeliness and accuracy is carried out on the data association relationship. According to the method, the problems of non-uniform data standards, low association efficiency and incomplete change transmission in complex equipment development are solved, and an automatic closed loop from data association construction to quality control is realized.

The invention provides an electric power communication SDH network operation state real-time monitoring system and method, and the system comprises a multi-protocol adaptive collection module which carries out the collection of network element information, performance information, alarm information and equipment information of an electric power communication SDH network according to a preset strategy, performing standardization processing on the acquired multi-source heterogeneous data through a protocol analysis engine module to obtain structured data; the intelligent data screening and deconstruction module is used for analyzing, associating and identifying the structured data to obtain a key business entity; the lightweight packaging module is used for carrying out serialization and compression optimization on the key business entities to obtain lightweight packaging data; and the rendering module is used for carrying out real-time rendering on the basis of the lightweight packaging data to obtain a real-time visual operation state of the electric power communication SDH network. According to the invention, the acquisition efficiency is optimized, real-time monitoring is supported, the bandwidth cost is reduced, invalid data transmission is reduced by 80%, and the fault positioning time is compressed from an hour level to a minute level.

The objective is to provide technology that can understand the status of greenhouse gas emissions. [Solution] An information processing system comprising: a storage unit that stores location information of multiple business entities constituting a group; an application form registration unit that registers application forms into which Scope 1 information, Scope 2 information, and Scope 3 information can be input; and an application unit that allows applications for Scope 1 information, Scope 2 information, and Scope 3 information across multiple business entities, wherein the application unit allows applications for a first application relating to Scope 1 information and Scope 2 information and a second application relating to Scope 3 information to be submitted at different times.

The invention discloses an aviation order analysis method and device, electronic equipment and a storage medium, and relates to the technical field of aviation information or other related fields, and the method comprises the steps: receiving to-be-analyzed target order data, and verifying the target order data based on a preset verification strategy; under the condition that verification is passed, service entity information is extracted from the target order data based on a preset extraction strategy, and the preset extraction strategy is used for specifying an extraction field and a field association relationship; a time sequence correlation model of the target order is constructed based on the business entity information by adopting a time sequence analysis algorithm, and the time sequence correlation model is used for recording all historical business operations of the target order according to a time sequence; and converting the time sequence correlation model into a business flow chart, and rendering the business flow chart to a display area. According to the invention, the technical problem of low data analysis precision caused by poor process data integration capability of an aviation system for complex orders in the prior art is solved.

The invention relates to the technical field of business process modeling, in particular to a meta-model-driven interactive business process intelligent modeling method and system. The method comprises the following steps: constructing a meta-model framework containing core elements such as activities, events and gateways, and establishing a meta-model constraint rule base to define a structure legality rule of a BPMN2.0 specification; based on a domain ontology Schema and the domain exclusive large language model after instruction fine tuning, extracting a business entity and a process relationship thereof from the unstructured text; carrying out information integrity verification and logic consistency detection on the extracted BPMN elements by utilizing a constraint satisfaction algorithm and Petri net reachability analysis; displaying a difference label of the process sketch through an interactive verification interface, and realizing semantic correction and model iteration of a user on the process elements based on a natural language feedback mechanism; an XML code is generated by adopting a template-driven code generation strategy, and a flow chart is generated through a BPMN parser. According to the method, the business process modeling efficiency can be remarkably improved, and the manual intervention proportion in the modeling process is reduced.

The invention relates to an electric power marketing auxiliary work order processing method and system based on a large language model, belongs to the technical field of electric power marketing work order information processing, and is used for solving the problems that unified structured representation and semantic association are lacked and a feedback optimization closed loop is lacked in the prior art. The method comprises the following steps: constructing an interface knowledge graph, collecting and analyzing multi-source interface information and extracting a business entity relationship; analyzing user input based on the pre-training language model, identifying an intention and generating a multi-level dynamic task plan; interface parameters are generated through mapping of the knowledge graph, and safe and reliable interface calling and execution result verification feedback are achieved. By means of the method, unified structured representation and semantic association are achieved, and an optimization closed loop is fed back.

The invention belongs to the field of financial settlement, and mainly relates to an accounting archive data query method based on big data, and the method comprises the steps: collecting multi-source heterogeneous data from different systems, and carrying out the unified representation of all data items through a grid algorithm and time-space coordinates; on this basis, association between the space-time anchor points and the service entities is established, and accurate matching and screening are performed on the data in combination with multi-dimensional information such as time, position and amount; the method comprises the following steps of: evaluating the correlation of data entries by calculating process data such as equipment operation duration, and screening the data entries highly matched with an actual business event; an amount logic consistency verification rule is introduced to verify the consistency among data such as contracts, payments and invoices, and potential abnormities are found in time through balance drift analysis; the method can effectively solve the problems of data dispersion, chaos of naming, tedious manual splicing and the like in traditional accounting archive query, and manual intervention is reduced.

This application discloses a dynamic form construction method, device, and medium, relating to the fields of software engineering and enterprise application development technology. The method includes: receiving a form request containing a view model identifier and request type based on a preset view parsing and execution engine; parsing a predefined view model according to the identifier to obtain its metadata, which defines the target business entity, view data object structure, field set, and filtering conditions; for data query requests, dynamically constructing and executing SQL statements based on the aforementioned metadata, obtaining raw data, performing aggregation and transformation, and generating structured view data that meets the front-end rendering requirements for return; for data submission requests, converting the data submitted from the front-end back into domain model data according to the same view model, and calling the business entity engine service to complete business logic verification and persistent storage, thereby achieving dynamic generation of the form view, decoupling of front-end and back-end logic, and ensuring business consistency.

The embodiment of the invention discloses a multi-tenant data storage method and device, a multi-tenant data access method and device and a business application deployment method. The method comprises the steps of defining fields and reference relationships of business entities in a metadata layer, forming a plurality of virtual tables representing different business entities, and storing data corresponding to the fields in the virtual tables in a field storage layer. Wherein the reference relations are configured based on node reference logic of a one-way acyclic graph, the virtual tables representing the nodes form a plurality of dependency paths based on the respective reference relations, and only one dependency path exists between any two virtual tables. According to the embodiment of the invention, multi-tenant data modeling can be realized based on the virtual table and the relationship between the virtual tables configured by utilizing the node reference logic of the one-way acyclic graph, the structural dependency of a traditional physical table is separated, diversified requirements of users can be adapted, flexible expansion is facilitated, related data on a dependency path can be conveniently obtained during data access, and the data access efficiency is improved. And the data access efficiency is high.

The invention provides a resource recombination method and device, electronic equipment, a medium and a program product, relates to the technical field of information, and can accurately generate a resource recombination strategy. According to the specific technical scheme, the method comprises the steps of obtaining key business indexes of multiple business entities of a target business provider from a business database, and classifying the key business indexes corresponding to each business entity according to a preset business dimension to obtain key business indexes of multiple target business dimensions of each business entity; obtaining score information of the key business indexes of each target business dimension of each business entity, calculating score information corresponding to each target business dimension of the business entity based on the score information, and determining a comprehensive score of the business entity according to the score information; determining complementary service entity pairs capable of executing resource recombination based on the comprehensive score of each service entity; and generating a corresponding resource recombination strategy for each complementary service entity pair so as to execute resource recombination. The method is used for generating resource recombination strategies.

The invention belongs to the field of business method processing, determines a target network community hotspot object through an artificial intelligence technology and a corresponding algorithm model, and constructs a business district with an AI Mall core shop and a traditional entity common node shop within the range based on digital assets, a block chain technology and the obtained target network community hotspot object. Business district construction and passenger flow attraction are performed through a core shop taking AI Mall as a center, so that flow conversion from a market public domain to a business district private domain is realized, and the problems of difficulty in financing, high drainage cost, capital burning and the like of traditional small, medium and micro entity enterprises are solved. The invention provides a business district construction method and a corresponding entity business district by taking extraction and display of hot objects, uplink sharing of information data and a bridge taking digital asset real world assets as entity economy WEB3 as basic features. According to the method, the randomness and inaccuracy of dependence on human experience in the hot object and IP extraction process of the traditional joint activity are solved, the traditional form of single fighting and the loose membership state of the shop are abandoned through the systematic business district construction process, and the construction efficiency is improved on the basis of reaching the consensus. And a business entity alliance with close dependency relationship and maximum sharing of passenger flow and revenue is formed.

The invention relates to the technical field of testing, and discloses a test case generation method and device, equipment, a medium and a program product. The method comprises the following steps: acquiring a business demand document and business scene information; according to business demand information and business scene information in the business demand document, multi-path recall is carried out in a knowledge base, recall results are reordered, a knowledge graph for indicating business entities, historical test cases, historical business documents and association relationships among the business entities, the historical test cases and the historical business documents is stored in the knowledge base, and the business entities carry attribute information; the attribute information comprises a marked test point corresponding to the service entity and a label for indicating a service scene corresponding to the marked test point; generating an enhanced context according to a reordering result and the business demand information; according to the enhanced context, generating a test point corresponding to the business demand document; and generating a corresponding test case according to each test point corresponding to the business demand document. And the accuracy of the test case and the comprehensiveness of coverage are improved.

The application discloses a blockchain-based on-chain and off-chain data similarity and difference positioning system and method, belongs to the technical field of blockchains, and synchronously acquires on-chain block data and off-chain business data by deploying distributed collection nodes; a unique on-chain identification address is allocated to each business entity, and a state anchoring contract is deployed, a corresponding business state sequence record chain is constructed on the chain when the entity completes any business link; the latest node hash on the chain is called and recorded before off-chain operation execution, a new node is generated by driving the chain after operation completion, and a feature vector is constructed by extracting on-chain and off-chain multi-dimensional features; by comparing global hash identification, layered analysis is started when the identification is inconsistent: the first layer verifies the continuity of the business link number and the timestamp; the second layer calculates the cosine similarity of the feature vector to locate specific difference fields and generates a verification digest; finally, the digest is submitted to the on-chain evidence contract, the abnormal type is automatically analyzed, and hierarchical alarm is triggered.

The invention provides a financial industry low-code platform development method and system based on credential adaptation, and relates to the technical field of credential industries, and the method comprises the steps: 1, mapping interactive interfaces of a core business entity and three associated business entities into four control points in a three-dimensional business topological space, so as to determine a continuous business curved surface, and calculating the normal vector directions of the continuous service curved surface at the four control points, adjusting the connection strength and the data flow direction between the service entities corresponding to the four control points according to the included angle relationship between the normal vector directions of the four control points, and constructing the closed service object network. According to the method, the business network, the simulation model and the adaptation assembly of the credential creation adaptation are constructed, the reusable assets are formed, low-code visual arrangement and credential creation environment full-process testing are combined, efficient development, asset reuse and stable landing of the financial industry credential creation adaptation application are achieved, and business process compliance and system operation reliability are guaranteed.

This invention provides a method for generating complex functions on a low-code platform based on large model code interpretation and generation. By capturing and standardizing user input, a structured intent graph containing business entities, operational relationships, parameter constraints, and control flow topology is constructed as a unified semantic anchor. Combined with a pre-defined domain rule base, a semantic alignment validator is designed to achieve multi-dimensional semantic comparison and conflict detection between code and requirements. Code snippets are generated in parallel by multiple models and verified in real time, and semantic conflicts are resolved through local regeneration. By fusing the results of multiple models to construct a joint abstract syntax tree, lightweight symbolic execution is used to simulate the correctness of cross-model code, locate and correct core logical conflicts. This invention significantly improves the consistency, accuracy, and automatic correction capabilities of low-code platform code generation.

The application belongs to the field of report generation, and particularly relates to a report intelligent generation method and system, which constructs a business demand space, fuses business entities, industry knowledge, data sources and accounting rules to construct a four-dimensional correlation graph model, adopts a cause-effect reasoning algorithm to establish a dynamic cause-effect chain of entities-industry-data-rules, combines a dynamic game attribute graph to realize real-time sensing of data flow changes, adjusts and resolves conflicts through a state machine model to drive attribute weight game, and generates a precise business correlation accounting result space; based on a multi-modal generation algorithm and a context sensing template library, intelligent adaptive generation from structured data to multi-form reports is realized; through deep coupling of a dynamic game engine and the four-dimensional graph, the application significantly improves the automatic generation accuracy and timeliness of reports in complex business scenarios, and supports real-time correlation and compliance accounting of cross-industry multi-source heterogeneous data.

The objective is to provide technology that allows for easy input and management of ESG-related information. [Solution] An information processing system comprising: a storage unit for storing ESG-related information of business entities constituting the upstream or downstream of a supply chain; a setting unit for setting a template into which a predetermined business entity can input ESG-related information; wherein the template has multiple items set; the setting unit can set necessary items from the set multiple items for which information input from a predetermined business entity is required; and a presentation unit that can present the set necessary items in a manner that allows the predetermined business entity to input them.

This invention relates to the field of insurance data processing and claims management technology, and discloses an insurance claims configuration system and method based on event perception and dual-track rule execution. This invention achieves unified access to multi-source data by pre-setting a standardized perception entry point covering all insurance claims scenarios, and constructs a configuration management layer that supports business entities in independently configuring perception scenarios, rule conditions, and dual-track execution methods. It combines a rule engine unit and a large model skill unit to execute structured and unstructured rule judgments respectively. When the judgment result meets the trigger conditions, customized data extraction and management actions are automatically executed. This solves the problems of traditional claims management systems, such as difficulty in meeting personalized needs, excessively long demand response cycles, wasted functional development resources, suppressed enthusiasm of management entities, and lagging functional iteration. It improves the flexibility and business response speed of claims management, reduces system development and maintenance costs, fully leverages the management initiative of business personnel, and maximizes the value of claims management.

The present application relates to the technical field of financial information processing, and more particularly to a heterogeneous data association auditing method for university financial reimbursement bills, comprising: performing text analysis and structured processing on the attachments of the meeting notice to generate a meeting business entity data structure containing meeting name, holding time interval and holding location information; on this basis, performing time window filtering and amount interval filtering based on the holding time interval preset extension on the public card payment stream data to obtain a candidate payment record set, and constructing a payment clustering graph model with payment merchants as nodes and payment time difference as edge weights, and dividing the connected components by the time difference threshold to form a collection of collection payments; further performing interval matching on the invoice amount features, and matching the travel time and location, and finally constructing a meeting business association graph and performing association auditing determination. The structured association and comprehensive analysis of multi-source reimbursement data are realized.

To provide a technique capable of reducing man-hours for creating an answer to a questionnaire in scoring evaluation of ESG-related information.SOLUTION: An information processing system includes a storage unit that stores information related to an ESG in a business entity constituting an upstream or a downstream of a supply chain, an acquisition unit that acquires a first questionnaire from a first business entity, a question generation unit that generates a second question item on the basis of a first question item of the first questionnaire, an output unit that outputs the generated second question item to a second business entity, a first answer acquisition unit that acquires a first answer to the second question item, a first answer generation unit that generates a first answer to the first question item on the basis of the first answer, a second answer acquisition unit that acquires a second answer to the second question item, and a second answer generation unit that generates a second answer obtained by correcting the first answer on the basis of the second answer.SELECTED DRAWING: Figure 141

The invention belongs to the field of data processing, and relates to a position data management method and device, equipment and a medium, and the method comprises the steps: firstly obtaining payment detail data of each business main body in a position reporting initiation system, setting a position reporting rule in the system, and based on the payment detail data and the position reporting rule, determining the position of each business main body; and generating statistical amount data and position dates which are in one-to-one correspondence, and obtaining adjustment amount data according to a comparison result of a statistical amount numerical value and an expected payment amount threshold value of the corresponding position date. And then accounting the statistical amount data and the adjustment amount data, generating position report amount data, and generating position data by taking the current time of the system as report time and combining the position date, the statistical amount, the adjustment amount and the report amount data. And finally, encrypting the position data by adopting a preset secure transmission protocol to obtain an encrypted data packet, pushing the encrypted data packet to a fund management system through a preset position reporting interface, and driving the fund management system to generate position payment data. According to the invention, the position data management efficiency can be improved.

The invention relates to the technical field of financial science and technology and data processing, and discloses an enterprise financial health degree AI diagnosis method, which comprises the following steps: acquiring multi-dimensional heterogeneous data including enterprise finance, strategic modes and behavior preferences, and constructing a multi-dimensional dynamic state vector for each entity in a commercial ecosystem; constructing a business entity relationship network and determining an asymmetric interaction relationship between entities; applying a preset disturbance event, and generating a state evolution path of the target enterprise in a future period of time through coupling dynamics simulation; and extracting an evolution path, comprehensively comparing the evolution path with a plurality of preset health degree references, combining the path similarity based on dynamic time warping and the terminal state distance, and performing weighted summation to determine a health degree category closest to the evolution process and result of the target enterprise as a final diagnosis result. The method can simulate the future performance of an enterprise in a specific pressure situation, reveals the internal risk and development potential of the enterprise, and improves the depth and accuracy of financial health diagnosis.

This invention discloses a cross-platform business system integration method based on knowledge graphs, comprising the following steps: S1, reading data from the business platform database and generating field text, entity identifiers, and relation records; S2, inputting the field text into an ALBERT model, generating field semantic vectors through a domain word vector gating layer; S3, forming triples based on entity identifiers and relation records and writing them into the knowledge graph; S4, inputting the triples into a TransH model, generating entity structure embedding vectors through dynamic rotation of relation vectors and hyperplane normal vectors; S5, generating entity embedding vectors based on field semantic vectors and entity structure embedding vectors; S6, calculating various distances based on entity embedding vectors to obtain the similarity of cross-platform candidate entity pairs; S7, performing duplicate entity determination on the similarity and updating the knowledge graph. This invention achieves accurate alignment of cross-platform business entities, improves data fusion efficiency and consistency, and is suitable for multi-source business integration scenarios.

The objective is to provide a system that facilitates verification by third-party verification organizations. [Solution] An information processing system comprising: an ESG information storage unit that stores ESG-related information of business entities that constitute the upstream or downstream of the supply chain; a management unit that manages the change history when the ESG-related information is changed; and an output unit that can output information indicating the change history to a predetermined user who has administrator privileges based on predetermined output conditions.

The invention provides a method and a device for acquiring industry-related data, electronic equipment and a storage medium, relates to the technical field of data processing, and can solve the problem of inaccurate industry evaluation in the prior art. According to the specific technical scheme, firstly, an industrial chain atlas and a supply chain atlas are obtained; then, determining a third node matched with the second node of the industrial chain graph from a plurality of first nodes of the supply chain graph by adopting a classification tree model, and performing quantitative calculation on the third node according to node information of the third node to obtain a node characteristic value of the third node; then, according to the business exchange information of each group of business entities, business association values of the two business entities in each group of business entities are calculated; and finally, performing aggregation calculation according to the node feature value of the third node and the service association numerical values of the two service entities in each group of service entities to obtain industrial related data. By implementing the application, the accuracy and reliability of industrial structure evaluation in the region can be improved.