155 results about "Business data processing" patented technology

The invention provides a data processing method based on request interception, which comprises the following steps of: intercepting a calling request for marking a service method through a request interception mechanism, preposing a decision point of service logic, and selecting whether the service method is executed or not according to a request context. According to the method and the device, the business rules are stored in the configuration center, external rule configuration is performed, the business rule expressions are pre-stored in the configuration center, dynamic acquisition is performed based on the rule identifiers, decoupling of the business rules and the codes is realized, the business rules can be configured independent of the codes, and flexible business processing can be realized only by modifying the expressions of the corresponding rules in the configuration center. The problems of code expansion and difficult maintenance caused by business rule change in a multi-channel environment are effectively solved, so that the flexibility and maintainability of a business data processing system are improved. The method can be applied to a business processing system in the financial field or the medical field, so that the flexibility of the business processing system in the financial field or the medical field is improved.

The invention relates to a business data processing method and system, equipment and a medium. The method comprises the following steps: preprocessing multi-source heterogeneous cross-domain economic data to generate a standardized data stream; semantic drift in the standardized data flow is detected in real time, and a detection result is generated; semantic alignment judgment is carried out based on the detection result, and a dynamic alignment signal is generated; performing incremental training of a mapping model by using the dynamic alignment signal to generate an updated cross-domain mapping model; and finally, performing mapping conversion on the data stream based on the updating model, and outputting service data with unified semantics. By adopting the method, the semantic change in the economic data can be responded in real time, the problems of semantic drift detection lag, long model updating period and high maintenance cost in the traditional technology are effectively solved, and the accuracy and timeliness of cross-domain economic data processing are remarkably improved.

The invention discloses an engineering building construction quality analysis system and method based on data processing, and belongs to the technical field of commercial data processing and intelligent decision, and the system comprises a causal relationship graph construction module which is used for fusing multi-source monitoring data to construct a causal relationship graph; the risk profile construction module is used for performing reverse deduction and forward simulation and constructing a prospective quality risk profile; the multi-target collaborative optimization module is used for solving a Pareto optimal equilibrium solution set; the quality pre-control instruction generation module is used for instantiating a dynamic quality pre-control instruction; the efficiency evaluation and attribution correction module is used for updating the causal relationship graph; and the evolution auditing and causal knowledge distillation module is used for auditing historical updating of the atlas and distilling a core causal rule set. According to the method, risk deduction and simulation are carried out by constructing the dynamic causal relationship graph, and multi-objective optimization and closed-loop feedback correction are combined, so that prospective identification and collaborative intelligent pre-control of the project quality risk can be realized.

The invention provides a method for dynamically dividing data into buckets. The bucket redistribution operation mode is dynamically determined by obtaining the bucket distribution heat parameter of the service data and the load parameter of the computing node in real time. And based on joint judgment of the popularity and the load, triggering a bucket splitting or merging operation, generating a target bucket scheme and storing an incremental snapshot, thereby ensuring that the affiliation relationship of the business data in the bucket adjustment process is clear and traceable. The incremental snapshot provides a core basis for lossless recovery of a subsequent calculation state by recording bucket metadata, calculating offset and intermediate result data. Furthermore, by predicting an expected load parameter of a computing node and combining a target bucket distribution scheme, the bucket distribution is dynamically distributed to a load matching node, and the problem of resource distribution stiffness of static bucket distribution is solved. The computing node recovers the business data processing flow based on the incremental snapshot, so that repeated calculation or loss of data caused by bucket adjustment is avoided, and the real-time data processing efficiency, the resource utilization rate and the business continuity are remarkably improved.

The embodiment of the invention provides a business data processing method and device, a storage medium and a program product, and the method comprises the steps: obtaining business target data and actual business data of each employee; sending the business target data and the actual business data to a data warehouse after each preset synchronization time; and obtaining and calculating actual business data in the data warehouse by using a pre-obtained calculation model, comparing an actual business result obtained after calculation with the business target data, and generating a business index progress of each employee. According to the business data processing method provided by the embodiment of the invention, the business data of multiple employees can be processed in batches in real time, and the data processing efficiency is improved.

The invention provides a business data processing method and electronic equipment. The method comprises the steps of obtaining business flow data from a plurality of data sources and performing structured processing to obtain structured flow data, obtaining reference data, determining a business checking process according to the type of a target business, the business checking process comprising a plurality of business checking nodes, and each service checking node executes service checking processing in parallel based on the structured pipeline data and the reference data to obtain checking results of multiple dimensions, and service checking information is obtained according to the checking results of the multiple dimensions. Multi-source heterogeneous data acquisition is realized through the RPA robot, data structured processing is performed by using a large language model, a service checking process pre-configured by a user is dynamically called according to a service type, and checking processing is executed in parallel by a plurality of service checking nodes in multiple dimensions, so that the service checking efficiency is improved. And the business requirements of complicated data sources, variable formats, large check quantity and high accuracy requirements in finance and other scenes are effectively met.

The invention relates to the technical field of manufacturing data processing, and discloses a production business data processing system for a discrete manufacturing workshop, which comprises an asynchronous data acquisition module for acquiring an asynchronous event pulse sequence of a discrete execution node; the mapping transformation module establishes an addressing mapping relation between an event source and a memory logic bit plane and generates an original differential bitmap; the bitmap filtering module is used for hedging paired logic flipping signals by utilizing an exclusive-OR logic self-reversal principle and filtering jitter interference at the edges of the signals so as to generate a net value difference bit plane; the state synchronization processing module performs in-situ upset updating on the state global bitmap through address offset addressing according to the bit identifier, and through a bitmap differential synchronization mechanism, asynchronous state updating without transaction lock constraint is achieved, calculation blocking generated by high-frequency pulse impact is relieved, and the real-time performance and stability of system data throughput are enhanced.

The application provides a service data processing method, device and equipment under a unit architecture and a medium. In the method, when a database is accessed, the target database identifier generated according to the service data processing message not including the specified database identifier is included in the thread variable library, the target database identifier is taken out from the thread variable library, the database corresponding to the target database identifier is accessed, and service data processing is performed. According to the scheme, when the database is accessed, the target database identifier is obtained from the thread variable library, and then the database corresponding to the target database identifier is accessed, so that the access efficiency of the database is effectively improved, and the processing efficiency of the service data is improved.

The invention relates to a business data processing method and device, equipment, a medium and a program product. The method comprises the following steps: in response to a business data processing request, mapping business data in a preset data source through a data operation layer to obtain mapping data; performing data screening on the mapping data through the global processing layer to obtain first screening data, and performing data cleaning on the first screening data through the global processing layer to obtain first cleaning data; performing data screening on the mapping data through the dimension processing layer to obtain second screening data, and performing data cleaning on the second screening data through the dimension processing layer to obtain second cleaning data; aggregating the first cleaning data and the second cleaning data through the data service layer to obtain first aggregated data; aggregating the first aggregated data and the second cleaned data through the application data layer to obtain second aggregated data; the aggregation strength of the data service layer is lower than that of the application data layer. By adopting the method, the business data processing efficiency can be improved.

This invention belongs to the technical field of program control systems, specifically relating to an EtherCAT master station system based on Qt and a multi-task scheduling method. The system includes a human-computer interaction module, a task scheduling management module, an EtherCAT master station protocol stack function module, an XML slave configuration file parsing module, a network communication module, and a serial communication module. The human-computer interaction module includes real-time business display and control, online debugging of EtherCAT communication data, basic business configuration and modular debugging, and system authentication. The task scheduling management module includes system working status management, complex business data processing, and task scheduling. The EtherCAT master station protocol stack function module includes real-time data processing of the controlled object, business control logic management of the controlled slave station, EtherCAT master station initialization process, and interface implementation of the controlled object's business processing process. This invention significantly improves the development efficiency and system performance of the EtherCAT master station system, meeting the requirements of modern industrial control systems for real-time performance, stability, and user experience.

The application relates to the technical field of visual lane modeling, and discloses a business data processing method and system based on visual lane modeling, wherein a multi-task prediction model of a graph neural network and a Transformer fusion is trained based on multi-source historical business chain data, a plurality of groups of lane layout and event configuration schemes are generated in combination with real-time operations of a user captured by a design interface, the optimal scheme is selected through simulation evaluation and filtering, and visual display is performed, and finally, visual lane modeling is executed according to user feedback, through automatic data processing, high-precision model prediction, real-time interactive optimization and visual modeling, the design efficiency and quality of a business chain are improved, meanwhile, model prediction based on historical data avoids artificial experience deviation, meets the comprehensive requirements of real-time performance, reliability and resource efficiency for complex equipment development, and provides efficient technical support for the landing of model-based system engineering in the field of complex equipment.

The embodiment of the invention discloses a batch service data processing method and related equipment, which are used for avoiding rollback of a whole batch of service data caused by processing failure of a single service entity and improving the batch service data processing efficiency. The method comprises the following steps: acquiring batch service processing requests for a plurality of service entities; constructing a transaction unit for each business entity; packaging a plurality of data operations corresponding to the service entity into a data operation sequence; respectively executing the data operation sequence of each transaction unit on one or more business processing nodes, enabling each data operation to execute local business operation on the corresponding business processing node so as to complete business data change, and recording the execution state of each transaction unit in a transaction log; and according to the execution state of each transaction unit recorded in the transaction log, submitting or rolling back the changed business data of each transaction unit so as to reserve the changed business data in the successfully executed transaction unit and revoke the changed business data in the unsuccessfully executed transaction unit.

The invention belongs to the technical field of business data processing, and particularly discloses an industrial park intelligent investment attraction management system and method based on machine learning, and the method comprises the steps: collecting an enterprise interaction log record, and extracting a feedback response index from the click rate and the stay duration; according to the index quantization professional depth and the initial weight of the data proportion, obtaining an attribute parameter vector; processing the attribute parameter vector by adopting a reinforcement learning algorithm, if a feedback response index exceeds a preset threshold value, improving the association strength of policy preference and case similarity, and obtaining an adjusted parameter vector through iterative updating; analyzing a restriction relationship between abstract description and emotional tendency according to the adjusted parameter vector, if the proportion of the abstract description is higher than a data proportion, reducing the proportion, and fusing chart response elements to determine an optimized content template; the invention aims to solve the problem of poor user interaction feedback and content attraction in the investment attracting content pushing process in the prior art.

The application discloses a kind of deep learning model training sample intelligent labeling method, comprising: if labeling task is not in business system, then outside business system labeling is carried out;If labeling task is in business system, then inside business system labeling is carried out;According to the number of labeling sample obtained by outside business system labeling and inside business system labeling, it is judged whether it needs incremental labeling;If it does not need incremental labeling, then labeling task ends;If it needs incremental labeling, then outside business system labeling is optimized by incremental labeling.The application improves the data labeling efficiency of labeling personnel, and also integrates the business experience and knowledge of labeling personnel into the business data processing process, realizes the "business data processing-feedback-model updating" cyclic iteration, and improves the performance and efficiency of intelligent processing system.

This application relates to a method and system for ensuring data consistency between business systems based on bidirectional synchronization, belonging to the field of business data processing technology. The method includes: receiving incremental data events from at least two business systems and generating a vector label for each incremental data event; performing conflict detection on concurrently processed incremental data events based on the vector labels and outputting a conflict type identifier; selecting a corresponding synchronization channel based on the conflict type identifier and current system operating status parameters; transmitting the incremental data events to the target business system through the selected synchronization channel and monitoring the execution status, triggering a compensation transaction when execution fails; receiving response information returned by the target business system and updating the inter-system data flow topology based on the response information; detecting the existence of data loops based on the data flow topology, and performing loop blocking operations when a data loop is detected. This application can improve the collaborative efficiency and stability of multiple business systems.

The application belongs to the technical field of financial technology or other related technical fields, and specifically provides a business data processing method and device, a server, a medium and a product. The method comprises the following steps: obtaining business handling application related data of a target enterprise user; generating corresponding business handling reservation information according to the business handling application related data, and sending the business handling reservation information to a target enterprise treasury system; a business handling agreement is arranged between the target enterprise treasury system and the business server; in response to a click operation of a bank staff, a business examination passing instruction is generated, and corresponding business handling processing is performed on the business handling application related data according to the business examination passing instruction; the click operation is performed by the bank staff according to the business handling reservation information and offline material files. The method provided in the application has higher business processing efficiency.

The invention belongs to the technical field of business data processing, and particularly discloses a logistics collaborative management and control method for cross-border trade, which comprises the following steps of: generating an initial role vector by adopting a vector embedding method by collecting organization types and business capability data of participants, and obtaining multi-dimensional role attribute representation; according to the role vector and the geographical location information, similar participants are grouped by adopting a clustering algorithm, and a cooperation hierarchical structure is determined; a dynamic change event signal is obtained, if the signal indicates adjustment of the service range, a role vector component is updated, and a new cooperation relation is judged; extracting identity recognition features from the updated role vector, and propagating neighborhood information through a graph neural network to obtain an enhanced identity identifier; calculating a vector similarity for the enhanced identity label and the logistics state update, and if the similarity exceeds a preset threshold value; the objective of the invention is to solve the problem of low information distribution accuracy and efficiency in logistics cooperation in the prior art.

The invention discloses a supply chain multi-role collaborative automatic account division method and system and a storage medium, original data is collected and preliminarily processed, the timeliness and consistency of business data processing can be guaranteed, a uniform data basis is provided for a subsequent account division process, and then through apportionment calculation, the efficiency of account division is improved. According to the invention, multiple expense items can be flexibly shared, the problem of expense allocation chaos when multiple scenes coexist in the prior art is solved, then the account division graph is generated, the rule expression ability is improved, rule conflicts under multi-role concurrence are avoided, then the target account and the clearing and settlement path are determined by adopting a hierarchical decoupling architecture, and the settlement efficiency is improved. The cross-system reconciliation cost is reduced, and the problems that asynchronous state processing is complex and reconciliation is difficult are solved; and finally, traceability and account consistency of an account division process are realized, so that the technical effect of considering multi-role, multi-cost item and multi-scene requirements on the whole is realized.

This invention discloses a method and system for dynamic fine-tuning of a distributed AIGC model. The method relates to the field of dynamic model fine-tuning technology and includes the following steps: multimodal business data processing and training sample generation, fine-tuning of the basic model's domain knowledge internalization, and fine-tuning of model role adaptation and compliance constraints. This invention collects multimodal business data, generates training samples through standardization and knowledge graph association processing; employs supervised fine-tuning to perform a first-level fine-tuning of the basic model, enabling it to master professional terminology and business processes; based on this, a second-level role adaptation fine-tuning is performed, and a compliance verification mechanism based on a law enforcement rule constraint library is introduced during decoding to ensure the security of the generated content. This solves the problem of low security in the dynamic fine-tuning of distributed AIGC models in existing technologies due to domain distribution bias in training data and the lack of a mechanism for fusing parameterized and non-parameterized knowledge.

The invention relates to the technical field of data processing, and provides a business data management method and device, electronic equipment and a readable storage medium. The method comprises the following steps: standardizing to-be-processed business data to obtain standardized business data; carrying out coding processing on preset service resource configuration data based on the standardized service data to obtain service resource configuration reference data; merging and mapping the service settlement data, the service to-be-settled data and the service resource configuration reference data to obtain a service resource margin; determining target service resource configuration data according to the service resource margin and a preset service resource margin threshold; the to-be-processed service data is managed based on the target service resource configuration data, so that the normalization and consistency of service data processing are improved, the accuracy and flexibility of service data calculation are enhanced, and the efficiency of service resource management and the scientificity of decision making are improved.

The invention discloses a direct communication-based data transmission method, which comprises the following steps that: each of a plurality of terminals initiates an identity authentication request to an aggregation security gateway, the aggregation security gateway constructs a topological connection relationship based on the terminals passing the identity authentication, and the terminals establish connection according to the topological connection relationship to form a communication network; the method comprises the following steps: in a communication network, acquiring a symmetrical communication key file 1 from a key server by two mutually connected terminals through an aggregation security gateway; the sending terminal determines a communication route, processes the service data mes, generates a sending data packet MES and sends the sending data packet MES to the receiving terminal; the receiving terminal carries out decryption and verification operation on the sending data packet MES, after verification is passed, service data mes' are obtained, and service processing operation is executed. A full-link safety guarantee system from identity authentication, connection establishment, secret key management to data transmission is built, and essential improvement of safety is achieved while high communication efficiency is guaranteed.

The application discloses a cross-business credit risk assessment method and system based on a graph neural network and a bank joint knowledge graph, relates to the technical field of financial business data processing and bank credit risk assessment, and comprises the following steps: collecting multi-business customer data, and constructing a multi-source heterogeneous original data set; constructing a cross-business joint knowledge graph based on a customer entity, a business event and a cross-business association relationship, and configuring a time decay weight; extracting a customer fusion embedding vector and a candidate risk transmission path set based on a guarantee chain, equity penetration and a fund flow meta path; generating a path risk confirmation coefficient through path masking comparison, and performing cross-business risk aggregation based on the path risk confirmation coefficient to obtain a customer credit risk score and a grading early warning result. The application improves the accuracy, interpretability, early warning timeliness and the like of cross-business credit risk assessment.

The invention discloses a business data processing method, device and equipment, a computer medium and a product, which are applied to the field of data processing, and the method comprises the following steps: obtaining transaction information of a transaction subject; constructing a first product detail table based on the transaction information of the transaction subject; the first product detail table comprises a transaction identifier, a transaction subject identifier, a product number, transaction data, transaction time and a transaction data source; receiving a business registration form input by the user, wherein the business registration form comprises a user identifier, an identifier of a transaction subject, registration time and a registration product; based on the transaction subject identifier, matching the business registration form with the first product detail table to obtain a second product detail table of the user; determining initial service data of the user based on the second product detail list and preset service data configuration parameters; summarizing the initial business data to obtain target business data of the user; and displaying the target business data. According to the method, the business data processing efficiency and accuracy can be improved.

The invention relates to the technical field of data processing, and provides a business data processing method and device, electronic equipment and a readable storage medium. The method comprises the steps of obtaining guest room to-do business data in response to a processing execution instruction; performing information extraction processing on the guest room to-be-handled business data to obtain attribute data corresponding to the guest room to-be-handled business data and historical interaction data corresponding to the guest room to-be-handled business data; performing structured processing on the attribute data and the historical interaction data to obtain structured data corresponding to the to-be-handled service data of the guest room; and in response to the confirmation passing instruction, performing closed-loop feedback processing on the structured data to obtain to-be-handled case settlement data of the guest room, thereby realizing automatic connection from original to-be-handled case settlement, improving guest room business batch processing efficiency, enhancing data consistency and traceability, improving case settlement accuracy and simplifying an interaction process.

The application discloses a service data processing method and electronic equipment, and relates to the technical field of computers, and the method comprises the following steps: in a current service data processing round, a plurality of service data corresponding to a timing task is acquired from a service database; according to priorities corresponding to the plurality of service data, the service data is divided to obtain at least one service data set; according to the priorities corresponding to the service data in a first service data set, the number of threads in a server allocated for the first service data set is determined, wherein the first service data set is any one of the at least one service data set; and according to the number of threads allocated for the first service data set, the service data in the first service data set is processed. Through the application, the number of threads is dynamically determined according to the priorities of the service data, the server thread resources are reasonably utilized, and the service data processing efficiency is improved.

The application discloses a method for protecting time stamp of embedded system, which is executed based on a time stamp protection time correction module in the embedded system, and comprises the following steps: step S1, optimizing the floating point operation function of the compiling tool used by the time stamp protection time correction module, and eliminating the problem of abnormal zero of the floating point operation result; and step S2, the time stamp protection time correction module creates a time system data receiving communication link based on a preset configuration, and configures the time system data receiving timeout parameter of the communication link; the application solves the technical problems of time stamp abnormality, false time correction and poor stability caused by step-by-step time correction, operation defects of the compiler, and coupling of the time correction module and the service data processing module.

A service data processing method and apparatus, and a device, and pertains to the field of communications technologies. The service data processing method in embodiments of the application includes: forwarding, by a source node based on an MBS capability of a target node, service data of a target multicast service to the target node through a data forwarding tunnel of a dedicated bearer of a terminal; where the terminal receives the target multicast service from the source node through a source multicast bearer.

The invention relates to the technical field of business data processing, and provides a business management method and system for enterprise management software. The method comprises the following steps: obtaining a service feature-service processing logic relationship according to service feature data and service processing information; constructing an enterprise software business processing strategy database based on the business feature-business processing logic relationship; performing feature point marking on the to-be-processed service information to obtain a service feature value set; performing similarity analysis on the business characteristic value set and an enterprise software business processing strategy database by adopting a similarity algorithm, and outputting a target software business processing strategy; and performing service processing on the to-be-processed service information based on the target software service processing strategy to obtain service processing feedback data, and performing service optimization management based on the service processing feedback data. By adopting the method, the technical effects of improving the business processing intelligence and pertinence of the enterprise management software, improving the business processing accuracy and further improving the business management efficiency can be achieved.

The invention relates to commercial data processing and management in the technical field of computers, in particular to an electricity market financial risk block chain monitoring method. The method comprises the steps of obtaining market clearing price, time-sharing matching, account position increment, margin occupation, cross-market linkage factors and supervision announcement metadata, performing naming specification, source signature binding and double-clock alignment, and minimizing fields to form verifiable input; constructing an index lattice based on a multi-dimensional base, assembling a scene template in combination with a sliding window sequence and policy key points, and completing fragment packaging and source pointer registration; fragment hash and time anchor serialization are executed on the chain, and the chain is solidified into a risk evidence chain through witness committee threshold check; and the contract engine generates a mark-leaving report and a visual board according to the threshold value, the change rate and the persistent trigger disposal script. According to the method, traceability and auditing links are enhanced, clock consistency and data aperture unification are optimized, the exposure range is reduced, and the early warning disposal collaboration and supervision adaptation degree is improved.

This invention discloses an AI orchestration method and system for load balancing across all business scenarios, relating to the field of business data processing technology. The invention collects user demand parameters from business scenarios in real time and processes these parameters using data processing methods. After processing, features of the user demand parameters are extracted using feature extraction. A recognition template library is established, and recognition is performed using graph neural network subgraph matching based on the extracted user demand parameter features. When no suitable template is found in the recognition template library, a template is automatically adjusted and generated using parameterized constraint solving and intelligent combination of atomic template fragments. Finally, based on the adjusted and generated template, the user demand parameters collected in real time are translated into code, and the translated code is tested and verified, improving the rationality of business data processing.