194 results about "Business documents" patented technology

The invention relates to a dynamic data pipeline construction method based on artificial intelligence and multi-modal data processing, and belongs to the technical field of data fusion treatment and artificial intelligence. According to the method, a multi-modal deep learning model is adopted, semantic analysis is performed on business documents, user requirements and function specification instructions, and key indexes, data requirements and logic constraints are extracted; constructing a multi-modal knowledge graph, performing unified representation and feature extraction on structured and unstructured data resources, and performing embedded learning by using a graph neural network; based on a deep semantic matching model and a hybrid recommendation system, realizing accurate matching of business requirements and data resources; modeling generation of a data processing flow into a Markov decision process by adopting a reinforcement learning strategy, and automatically generating an optimized data processing workflow; the adaptability of the model to new business requirements is improved by utilizing a meta-learning algorithm; and dynamic scheduling and execution of tasks are realized through a workflow engine. According to the invention, the data processing efficiency can be improved.

The invention discloses an AI data warehouse full-link blood relationship tracking method and device, and relates to the technical field of data processing. The method comprises the following steps: obtaining structured log data with business terms and entity tags; establishing a knowledge graph according to the structured log data and the business document; generating blood relationship metadata according to the knowledge graph and the data job execution log; constructing a blood relationship cognition map according to the blood relationship metadata, the data operation log and the business document; generating a governance strategy vector according to the blood relationship cognitive map, the system real-time index and the service SLO, and sending the governance strategy vector to an execution engine, so that the execution engine carries out processing according to the governance strategy vector; and obtaining a governance strategy execution result, user feedback information of the governance strategy execution result and a system log generated in a governance process. According to the method, complex semantics and causal relationships behind data operation can be captured.

The invention provides an intelligent business document approval method and approval system based on a large model, and the method comprises the steps: analyzing an unstructured text, and extracting an audit rule for a business document from the unstructured text according to a historical data analysis result and a risk assessment result; the extracted auditing rule is stored based on a comprehensive rule knowledge base, the comprehensive rule knowledge base comprises a recessive rule and an expression description rule, and the auditing rule is updated when the business relation is changed; and automatically examining and approving the obtained business document according to the stored examination and approval rule, generating a cue word by combining the business data in the business document according to a preset examination and approval scene and a general rule, automatically examining and approving the business document based on the cue word and the business data by utilizing a large model, and returning an examination and approval result. The invention further provides an approval system for implementing the method. When the business document is approved, the requirement of the implicit rule for the approval is considered, and the approval quality is improved.

The invention relates to the field of discrete manufacturing intelligence, in particular to an intelligent decision-making and business collaboration method based on an OAG ontology and an LLM large model, which comprises the following steps: collecting historical data and business documents, and performing directional fine tuning on a basic large language model to form the LLM large model; the method comprises the following steps: analyzing discrete manufacturing scene original data and business documents, and constructing an OAG ontology library; receiving field data in real time through the LLM large model, updating the OAG ontology library, and performing feedback optimization on the LLM large model to form bidirectional feedback; integrating real-time data and historical data, inputting the data into an LLM large model, converting the data into business knowledge through layering of an OAG ontology library, and generating a main and standby decision scheme; and establishing an agent federated center, issuing a decision scheme, collecting execution data and feeding back an LLM large model, and realizing cross-scene collaboration and full-process data closed loop. According to the invention, through a technical path of a whole-process data closed loop, a core pain point that an existing LLM does not understand a business is effectively solved, and whole-link value conversion of discrete manufacturing data is realized.

Recent developments in machine learning (commonly coined “artificial intelligence” or “AI”) have vastly expanded applications for this technology, such as myriad “chat” agents adept at understanding natural human language. While state of the art generative models can parse text queries from a user and provide comprehensive, accurate responses (including generating images depicting desired content), current implementations struggle with understanding all information present in images of documents, especially images of business documents. In particular, generative models fail to understand structured and semi-structured information, e.g., as indicated by graphical information such as lines, geometric relationships (e.g., indicated by tables, graphs, figures, etc.), formatting, and other contextual information that human readers easily and implicitly understand. The disclosed inventive concepts transform structured and semi-structured information along with textual content into a textual representation that allows generative models to better understand textual content and non-textual structured information present in document images.

The invention provides an evaluation method of data elements in a model application, related hardware and a program product. The method comprises the following steps: acquiring metadata knowledge and content knowledge of target data elements from a metadata knowledge base and a content knowledge base set by a big language model hitching data platform, and storing the target data elements in the data platform. Setting the metadata knowledge and the content knowledge of the target data element as cue words to be imported into a large language model so as to execute the following steps through the large language model: generating a query language order based on the metadata knowledge of the target business document, and querying a data platform according to the query language order to obtain a query result; and determining a matching degree between the query result and the content knowledge of the target data element. And based on the matching degree between the query result and the content knowledge of the target data element and the cost of applying the target data element to the large language model, determining the efficiency of applying the target data element to the large language model.

The invention discloses a business document design and user-defined field modeling method supporting dynamic expansion. The method relates to the technical field of custom field modeling, and comprises the following steps: constructing a core foundation and a metadata system; a non-intrusive expansion and data association model; performing high-performance query and index optimization; and performing dynamic verification and visual application. Structural stability and flexible expansion are realized through separate design of the core table and the expansion table, field definition, storage, verification and form rendering are driven by metadata, complex query and cross-receipt field multiplexing are supported, data consistency and full-link connection are guaranteed, business receipt design and self-defined field modeling expandability are improved, and the method is suitable for large-scale popularization and application. The problem of low expandability of business document design and custom field modeling in the prior art is solved.

The embodiment of the invention discloses a business receipt and invoice data matching method and system, and the method comprises the following steps: accessing original business receipt data and invoice data from a plurality of heterogeneous data sources through a uniform interface, and carrying out the data cleaning according to preset mapping, merging, splitting and conversion rules, generating a standardized matching flow order; adopting streaming data loading and a Worker parallel computing mechanism to carry out multi-dimensional matching on business receipt and invoice data in the standardized flow bill, and generating a relation matrix representing a corresponding relation between the receipt and the invoice based on a matching result; and automatically checking the relation matrix by calling a rule engine and a machine learning model, marking the matching result of the business document and the invoice which are checked to be abnormal, pushing the matching result to manual auditing, and feeding back the manual auditing result to a knowledge base to optimize the subsequent matching and checking rule. According to the embodiment of the invention, the matching efficiency of the business document and the invoice data and the accuracy of the matching result can be improved.

The invention provides a network-based service document multi-person cooperation message triggering type synchronization method and system, and relates to the technical field of computer networks, and the method comprises the steps: S1, employing a condition triggering type point-to-point lightweight message synchronization method from Client to Server to Client; s2, establishing a WebSocket communication connection between the client side and the server; s3, interactive transmission of data is carried out through a TCP protocol, the structure of a protocol packet comprises a Header part and a Body part, and the Header part is composed of a client MAC address of a Client, a login user identifier and a timestamp; the Body part is composed of a command identifier and a document number; and S4, generating a unique document identifier ERI for each document. According to the method, the situations that the collaboration efficiency of business receipts is low, errors are prone to occurring, and data are inconsistent can be avoided.

To provide a system.SOLUTION: The system includes: means for automatically generating a business document from an instruction; means for checking a grammatical error in the generated business document; means for checking compliance of the generated business document; means for determining whether the generated business document conforms to the standard of a business communication; analyzing the generated business document by using a natural language processing technology; and means for repairing the business document on the basis of the result of analysis.SELECTED DRAWING: Figure 1

The invention discloses a food business review method and device based on an intelligent agent, equipment and a storage medium, and relates to the technical field of large models, and the method comprises the steps: receiving a to-be-reviewed food business document through a scheme generation intelligent agent, calling a food field review agent, matching a template matching instruction issued by the scheme generation agent with the first cue word template library, and determining a target rule retrieval tool; performing secondary matching in a second cue word template library by utilizing a target rule retrieval tool and a template matching instruction issued by a food field review agent, obtaining an initial retrieval result from a preset rule database, and performing supplementary retrieval to obtain a final target retrieval result if the initial retrieval result does not meet a matching condition; and comprehensively analyzing the target retrieval result and the first template matching result by the food field review agent, generating a compliance judgment result, returning the compliance judgment result to the scheme generation agent, and outputting a business review result and a solution according to the compliance judgment result. Therefore, the efficiency of reviewing the document can be improved.

The invention relates to the technical field of business and financial general voucher conversion, and provides a general method for visually converting a business document into a financial voucher, which comprises the following steps of: S1, defining a business data structure table, extracting business data from a business system and storing the business data in the table; s2, maintaining subjects, auxiliary accounting basic data and a voucher template, and establishing an association matching relationship between service auxiliary accounting and financial auxiliary accounting; s3, establishing an entry generation rule, maintaining basic generation setting, setting source business data, and configuring an entry detail processing rule; s4, processing and generating standard entry data based on the data in the business data structure table and entry generation rules, and verifying and auditing the standard entry data; and S5, establishing a rule of converting the entry data into the voucher data according to the format requirement of the target financial system, and converting the standard entry data into the voucher data conforming to the format of the financial system. The problems of knowledge reuse, personnel requirements, communication cost, system suitability and the like of a traditional scheme are solved.

The invention provides a service logic vulnerability detection method and device, equipment, a medium and a program product, and relates to the technical field of network security. The method comprises the following steps: constructing a business process state machine through a key entity obtained by performing natural language analysis on a business document; the business process state machine is used for describing state changes of the business process in different stages; obtaining an operation sequence generated based on the interaction operation through a flow agent deployed in a network environment; carrying out modeling and feature extraction on the operation sequence based on a hierarchical attention circulation network to obtain operation behavior features; comparing the operation behavior characteristics with a business process state machine to obtain a vulnerability detection result; the vulnerability detection result comprises permission violation and / or flow abnormality.

The invention discloses a general data exchange system based on a configurable label structure, which relates to the technical field of data processing and information integration, and comprises a parameter module used for establishing an identity authentication mechanism of two exchange parties; the business document module is used for establishing a data structure definition based on a preset exchange demand; the receipt logic module is used for carrying out logic analysis and code decoupling on the data structure definition, generating a marked language script code and an execution instruction, constructing an execution matrix and realizing mapping between a database physical field and a memory logic variable; and the standard adaptation module is used for comparing and checking the content of the generated data and feeding back a checking result to the parameter module to correct the exchange rule and parameter configuration. A more intelligent logic separation strategy is implemented through structural insight, data reading, writing and transmission are cooperatively controlled, complete decoupling of service logic and program codes is achieved through a nested tag structure, and flexibility, universality and maintenance efficiency of data exchange are optimized.

The invention provides a multi-source bill processing method and device, electronic equipment and a medium, and relates to the technical field of computer software, and the method comprises the steps: carrying out the preprocessing of obtained bill data, and obtaining target bill image data; inputting the target bill image data into a multi-modal model for feature extraction to obtain structured text information, visual layout information and semantic association information of the bill data; based on the structured text information, the visual layout information and the semantic association information, whether repeated bills exist or not is determined; when it is determined that no repeated bills exist, compliance verification is carried out on the bill data, and a compliance verification result is obtained; processing the bill data of which the compliance verification result is passed and the configured business bill to obtain a bill knowledge graph; and carrying out cost collection processing on the bill data corresponding to the bill knowledge graph to generate accounting document data. The method can greatly improve the bill processing efficiency, and guarantees the credibility and traceability of the whole process of the bill.

The invention relates to the technical field of data processing, and provides a dynamic rule-based automatic voucher generation method and system for business receipts, and the method comprises the steps: obtaining a plurality of historical business receipts, extracting business receipt elements for each historical business receipt, and marking voucher elements; based on the business document elements and the voucher elements of the plurality of historical business documents, generating association rules of the voucher elements and the business document elements through a large language model in combination with the policy data; for each historical business document, calling association rules related to business document elements of the historical business document, and storing the association rules; and obtaining a to-be-processed business document, extracting business document elements, searching for the historical business document with the highest similarity, and generating voucher elements through the association rule stored in the historical business document with the highest similarity. And a new scene can be covered without manually modifying the template, so that the dependence on a static rule is eliminated.

The invention relates to the technical field of data processing, in particular to a large-scale business document data rapid clustering retrieval method, which comprises the following steps of: obtaining a target retrieval word of a current retrieval person; acquiring browsing duration of historical retrieval words and documents corresponding to each historical retrieval record under each gradient level; determining a retrieval matching degree, a browsing confidence degree and a retrieval association degree of each document in the retrieval library of any level; obtaining a retrieval related class, a retrieval unrelated class and a reference related class; determining false positive possibility and false negative possibility; determining a false positive document in the retrieval related class and a false negative document in the retrieval unrelated class; and adding and deleting the false positive document and the false negative document to obtain an adjusted retrieval related class, and displaying a retrieval result of the target retrieval word of the current retrieval person. According to the method and the device, the document clustering accuracy can be improved, the document retrieval speed and efficiency are improved, and the document retrieval result is more accurate.

The invention discloses an intelligent process approval method and device based on a dynamic rule engine and a medium, and relates to the technical field of informatization management, and the method comprises the steps: obtaining a business document of an initial approval scene, and obtaining an initial approval data model through scene field configuration based on the business document of the initial approval scene; according to the initial approval data model, determining an initial approval process through an approval process definition of node configuration; performing self-evolution analysis of a dynamic rule engine on the initial approval process to obtain an updated dynamic rule engine; obtaining submission approval, and performing process node approval instantiation on the submission approval based on the updated dynamic rule engine to determine approval instance information; and based on the approval instance information, obtaining subsequent approval nodes through state analysis of the approval nodes. Through the method, the technical problem that the rule type and the approval node cannot be automatically updated in the existing process approval technology is solved.

The invention discloses an electronic archive management method for a business document generation layout file, and belongs to the technical field of electronic archive management. Comprising the following steps: constructing a multi-dimensional feature vector by collecting business document scene features, screening candidate templates from a template pool by adopting a multi-level similarity matching algorithm, and adjusting and determining a target template in combination with a dynamic structure; the basic metadata and the associated system data are integrated, and qualified metadata is output through multi-level rule verification and abnormal data correction; based on the target template, executing data filling typesetting and format resource preprocessing by adopting a double-thread asynchronous processing mechanism, and generating a layout file conforming to PDF / OFD double standards through an adaptive algorithm; calculating a hash value of the layout file and writing the hash value into a block chain to realize tamper-proof evidence storage, and realizing secure storage and quick retrieval by adopting a distributed architecture in which a main file is separated from an index file. According to the method, the problems of low template matching precision, incomplete data verification, low processing efficiency, insufficient file safety guarantee and the like in the prior art are solved.

The invention discloses an anomaly analysis method and device for production management and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a plurality of production orders, and generating a corresponding process tracking code for each production order; associating the process tracking code to a business document in a production management system to generate an associated data set; based on the associated data set, constructing a multi-dimensional production element map, and based on the multi-dimensional production element map, generating a three-dimensional process sand table, the three-dimensional process sand table comprising a topology view, a thermodynamic view and a tracing view; inputting the process delay event into the three-dimensional process sand table, determining upstream and downstream nodes and edges related to the process delay event, and forming an abnormal propagation path; and based on the abnormal propagation path, reasoning the process delay event to obtain an abnormal reason. By implementing the technical scheme provided by the invention, the abnormal reason is quickly positioned, and the production efficiency is improved.

The invention relates to an intelligent allocation method for combined settlement funds. The method comprises the following steps: collecting key data from various business receipts and storing the key data; extracting the sorted key data, and judging a specific business scene to which the business belongs; according to the business scene, calling a corresponding fund allocation priority algorithm, and calculating a settlement amount, a settled amount, an unsettled amount and a verification amount of each business document; and feeding back a calculation result to a business document system and a financial system, and updating amount data of related documents. According to the invention, dynamic adjustment can be carried out according to the characteristics, the time sequence and the amount weight of the business document, so that the rationality and accuracy of fund allocation are ensured; the allocation efficiency is improved, and the complexity and the error rate of manual operation are reduced, so that the fund flow management is optimized; the flexibility and adaptability of the system are enhanced, and individual requirements of enterprises in different business scenes can be better met.

The invention discloses a training method and device of a document compliance detection model, equipment and a medium, and relates to the technical field of data processing.The method comprises the steps that a sample business document, a labeling result of the sample business document and set rule configuration information are obtained; the sample business document comprises a sample business text and a sample business chart; extracting a to-be-detected text entity from the sample business text through the initial detection model, and identifying a to-be-detected data item from the sample business chart; according to the to-be-detected text entity, the labeled text entity, the to-be-detected data item, the labeled data item and set rule configuration information, performing compliance detection on the sample business document to obtain a compliance detection result; and according to the compliance detection result, the labeling result and the sample business document, training the initial detection model to obtain a document detection model. According to the method and the device, the efficiency and the accuracy of compliance detection on the business document are improved.

The invention discloses an intelligent customer service knowledge base automatic updating method based on a large language model, and relates to the technical field of knowledge base management, and the method comprises the steps: collecting a multi-source business document and session data, cleaning and merging the multi-source business document and the session data, calling the large language model to extract candidate entries, and binding evidence fingerprints; performing consistency comparison and change type judgment on the candidate entries and knowledge base entries, and generating and solidifying a difference abstract; generating a semantic patch according to the difference abstract, writing the semantic patch into a shadow partition, completing consistency verification, enabling atomic switching to take effect, synchronously updating a reverse index view and a vector index view of the intelligent customer service knowledge base, and recording a version mark; and performing online verification on a session data statistical result according to the version mark, rolling back to a state before the version mark when the verification result is abnormal, and confirming the semantic patch and continuously acting on the intelligent customer service knowledge base when the verification result is normal. The release risk is reduced; and the knowledge reliability and auditing performance are improved.

The invention relates to the technical field of computers, in particular to an intelligent approval method and system based on detail line multi-dimensional attributes. The method comprises the following steps: receiving a business document containing a plurality of detail lines, and preprocessing data in the detail lines to obtain standardized detail data; for any standardized detail data, extracting multi-dimensional key business attributes, and selecting an approval flow from a preset approval flow set in combination with each key business attribute; and each detail line examines and approves each standardized detail data along the respective examination and approval process, and performs a downstream business process according to the examination and approval result. The method has the effect of improving the business process processing efficiency.

The application relates to a business document information extraction method based on variant attention and hierarchy, and belongs to the field of natural language processing. First, the document is classified, the data is processed into supervised training data required by a model, and is input into a variant attention and hierarchy network model for training, and a hierarchical network structure is used to extract features of word-level, sentence-level and paragraph-level document information; the document required to be extracted and the label of the content of the document required to be extracted are input into the trained hierarchical variant attention network model for information extraction; and finally, the extracted information is statistically analyzed. The application realizes accurate business document information extraction technology, and finally, the document information is extracted through the technology, and then the document information is statistically analyzed to realize special business related information extraction.

This invention discloses a method and system for detecting confidential business documents based on sensitive subgraph matching in a cold start scenario, belonging to the field of information detection technology. The method includes: acquiring a set of short text confidential business documents; constructing a global knowledge graph based on the set of short text confidential business documents, and extracting confidential business patterns from the global knowledge graph through subgraph matching; reorganizing the confidential business patterns into logically coherent long text; training a discriminator based on the long text, and generating confidential business detection results for the target document based on the trained discriminator. This invention can quickly achieve usable detection performance under cold start conditions, explicitly model the structured features of confidential business information, and support a dynamic balance between efficiency and effectiveness in real-time scenarios, thereby improving the credibility and practicality of the confidential business detection system in actual enterprise deployments.

The embodiments of this specification provide a method and system for generating early warnings based on a configuration object model on an aPaaS platform. The method includes: defining early warning models based on fields in a configuration table, with each early warning model corresponding to a business document, and saving the defined early warning model configuration in the configuration table; creating a message queue to monitor changes to business document information based on messages sent by received business documents; and when business document information changes, querying the configuration table based on the business document to determine whether a corresponding early warning model exists for the current business document object, and determining whether a corresponding early warning notification needs to be sent based on the early warning model configuration. This invention can improve system performance in terms of flexibility, real-time performance, accuracy, configurability, and manageability.

The invention relates to an extensible aid decision-making method and system based on cross-border trade management, and belongs to the technical field of computer information processing. The method comprises the following steps: acquiring a cross-border trade auditing workflow map to bind an auxiliary decision-making unit, and when a business document is triggered, sending a business node decision-making request to the auxiliary decision-making unit according to packaged business data; constructing a multi-strategy auditing fusion model, obtaining an auxiliary decision-making unit list bound with the nodes, concurrently returning decision-making sub-results based on an asynchronous scheduling mechanism, and outputting a structured auditing evidence report; driving an auditing decision process according to a pre-configured branch routing rule, and when entering a manual auditing path, pushing the structured auditing evidence report as a task attachment to a manual auditor through a message array to generate decision feedback data; and regularly starting an optimization task to retrieve decision misjudgment cases in the review knowledge base, and updating the multi-strategy review fusion model.

The invention provides a data processing method and device based on a business document, equipment and a medium, and the method comprises the steps: obtaining a business document submitted by an operation submission role, and generating a recheck business event; sending the recheck service event to an operation recheck role, and generating an approval service event when the obtained receipt recheck result is a recheck success result; sending the examination and approval business event to an operation examination and approval role, and generating a confirmation business event when the signature examination and approval results are obtained and counted that the number of examination and approval passing results reaches a multi-signature signature threshold value; and sending the confirmation service event to the operation confirmation role, and executing the service operation in the service document when a document confirmation result is obtained. By adopting the method and the device, different objects in the auditing service are subjected to role division, so that not only can the preciseness of service auditing be improved in the whole auditing service, but also the safety and the reliability of operation execution can be ensured when the service operation in the service document is executed.

The invention discloses a PDA (Personal Digital Assistant) data interaction method and equipment based on a wireless private network and a medium, and relates to the technical field of computer ERP (Enterprise Resource Planning) software. The method comprises the following steps: acquiring a to-be-operated business document in an intranet, and preprocessing the to-be-operated business document to obtain a target business document; transmitting the target business document to a preset wireless private network based on a data ferrying technology, and performing structured processing on the target business document to obtain structured data; updating the structured data by using a PDA mobile application to obtain an updated business document; and returning the updated business document to the intranet, and marking the updated business document. According to the method, the separation design of the intranet and the wireless private network is realized, so that the core data of the intranet is prevented from external attacks and security threats, and meanwhile, the interaction with the PDA data can be realized in a secure transmission mode.