410 results about "Business object" patented technology

The invention relates to the technical field of data processing, can be applied to business scenes of financial science and technology, medical treatment and health and the like, and discloses a business process processing method, device, equipment and medium based on multistage tasks. Creating a main task record and a detail task record and establishing an association relationship, updating the state of the detail task record, periodically scanning the main task record and judging whether the detail task record is completed or not, detecting a process triggering request and executing a preset business process or updating the state of the main task record according to a detection result. Whether the preposed verification task is needed or not is judged in a unified mode before the business object is generated, the state of each preposed task is tracked by means of the incidence relation between the main task record and the detailed task record, and the precondition of process execution is ensured to be accurately met in combination with a periodic scanning and process triggering detection mechanism; the accuracy of business process execution is improved.

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 the technical field of message pushing, in particular to an SaaS (Software as a Service) intelligent concurrent pushing system which comprises a tenant flow monitoring module, a resource binding module, a lock-free object writing module, a handle layout construction module and a cache prefetching delivery module. According to the method, the high-frequency business object is identified by monitoring the flow characteristics of the tenants, and the complete Slab page is dynamically applied and bound to the thread exclusive local allocation buffer area, so that physical isolation of bottom layer resources is realized to eliminate global lock competition and context switching overhead in a multi-thread environment; lock-free memory writing is executed based on a privatized pointer, the object construction efficiency is greatly improved, a compact storage structure in which a bitmap is adjacent to a connection handle is constructed, a hardware cache prefetching mechanism is triggered by utilizing bitmap reading, connection data is loaded to a CPU cache line in advance, and the connection data is stored in the cache line. And the cache miss rate is reduced and the concurrent delivery performance of massive messages is remarkably improved by utilizing a memory locality principle.

The invention relates to the technical field of government affair entrepreneurship guidance service intelligent dialogue systems, in particular to a dialogue intention recognition and correction method based on a knowledge graph, and the method comprises the steps: obtaining a voice signal and text information inputted by a user, and carrying out the cross-modal fusion processing to generate a semantic vector; carrying out evolution modeling on the dialogue state by adopting a graph neural network, and outputting a dynamic dialogue state graph containing a time sequence relationship between a user entity and a business object; taking the semantic vector and the focus information as query conditions, executing dynamic subgraph sampling from the government affair knowledge graph, and generating an intention correction strategy vector; and finally, utilizing reinforcement learning to generate personalized guide statements and outputting the guide statements to the user. According to the method, through deep coupling of semantic understanding, state tracking, knowledge reasoning and decision optimization, real-time perception and active completion of dynamic updating of hidden nodes and policies of the government affair process are achieved, and the intention recognition accuracy and systematic adaptive capacity are effectively improved.

The invention discloses a data migration method and system based on business object mapping and a storage medium, metadata of a source system and a target system is obtained, and the metadata contains a data table group, a field and a field attribute; respectively integrating the data tables with the incidence relation in the two types of systems into a source business object and a target business object based on business semantics; and establishing a mapping relationship between the source business object and the target business object, migrating the data in the source business object to the target system based on the mapping relationship and the conversion rule, and verifying the migrated data. The efficiency and accuracy of data migration are improved, the consistency of a migration structure and business semantics is ensured, and semantic deviation and configuration errors caused by a traditional table level migration mode are reduced. And a migration scene of complex service data between heterogeneous systems can be better adapted.

The invention discloses a multi-scene marketing business risk digital monitoring system and a multi-scene marketing business risk digital monitoring method, belongs to the technical field of marketing management, and solves the problems that an existing system depends on data distribution condition screening of time intervals, pays attention to analysis of time dimensions and lacks comprehensive analysis of multi-dimensional data when screening abnormal business objects. The method comprises the following steps: acquiring real-time marketing data of multiple scenes, preprocessing the real-time marketing data, setting a marketing dataset as a local dataset by a parallel chain node, pre-identifying the marketing dataset based on a pre-trained risk identification sub-model, taking a scene risk set as input by the parallel chain node, performing anomaly detection on the scene risk set, and identifying the scene risk set according to the anomaly detection result. Predicting marketing risk factors, and calculating a comprehensive risk value; according to the invention, through real-time acquisition of multi-scene data and multi-dimensional data preprocessing, it can be ensured that a space-time risk judgment model can identify and predict potential risks in a multi-scene marketing scene more comprehensively and accurately, and the comprehensiveness and accuracy of risk identification are improved.

The embodiment of the invention provides a database access management method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring database configuration information, wherein the database configuration information comprises a mapping relationship between each business data source and each piece of sub-table information of a database; a persistent object interface is obtained, the persistent object interface is analyzed, an SQL execution statement of the access operation is obtained, the persistent object interface is pre-configured to execute the access operation for the database based on the request of the business object, and the access operation comprises one of data addition, data deletion, data modification and data query in the database; querying a business data source corresponding to the table division information from the database configuration information based on the table division information in the SQL execution statement; and routing the business data source to the target database. Therefore, sub-library storage of the business data is realized, coupling complexity and invasiveness of codes are reduced, and lightweight operation of sub-library processing of the business data is realized.

The invention provides an aviation maintenance data management method and management system, and belongs to the field of data management.The method comprises the steps that fields of multi-source aviation maintenance data are unified, an aviation maintenance data set is generated, and the incidence relation between aviation maintenance services and preset aviation maintenance standards is built; according to the incidence relation, a business object relation method BOR is adopted to conduct logic modeling on the aviation maintenance data set, business objects of the aviation maintenance data set and the dependency relation of the business objects are defined through a modeling language, and a multi-dimensional aviation maintenance data model is generated; and storing the multi-dimensional aviation maintenance data model and the association relationship in an aviation maintenance standard library, and realizing dynamic updating and verification of the aviation maintenance data based on the multi-dimensional aviation maintenance data model and the association relationship. The series of measures fundamentally solve the problems of data dispersion and standard chaos, so that the maintenance data has a unified storage specification.

Adaptable data warehousing computing systems and methods are disclosed for improved and flexible declarative control for programmatic modeling and database building, including in compute intense environments. A declarative scripting engine executes computing commands defined in a domain specific language (DSL), which is configured to programmatically configure a conceptual data model defining business object(s). A logical data model may be generated based on a declarative command defining the conceptual data model. A physical data model may be generated based on the logical data model, where the physical data model defines stage, core layer, and / or a data mart layers that may be deployed to a target database or data warehouse, and where the stage, core layer, and / or a data mart layers are the same or similar to those of the logical data model.

The invention provides a low-code platform data modeling method and system based on the Dataset technology, and relates to the technical field of low codes, and the method comprises the steps: obtaining configuration information of a target business object, generating structured metadata according to the configuration information, and generating an application component comprising a strategy evaluation engine according to the structured metadata; during the running period of the application component, the engine monitors the data state in real time and dynamically adjusts the behavior or relation structure of the application component when the strategy rule condition is met, and the generated source code does not need to be modified; in order to improve the large-scale rule processing efficiency, the method comprises the following steps: extracting a condition expression and an adjustment instruction in a strategy rule, identifying a dependency relationship, calculating a structure and time sequence association weight according to the dependency relationship, generating a predictive mixed weight, and executing clustering; according to the scheme, the strategy evaluation performance is improved, dynamic service self-adaptive modeling is supported, and the method is suitable for a digital transformation scene.

The invention provides a business object deserialization index alignment method, computer equipment and a storage medium. The method comprises the following steps: configuring an attribute field index assignment business class in a business system; performing deformation processing on the system attribute field by adopting a preset deformation strategy, and expanding the deformed system attribute field into system configuration; initializing a system attribute field by using an attribute field index assignment service class to obtain a hash array used for indexing the system field; in response to the acquired service data, deserializing the service data to determine a service attribute field corresponding to the service data; and calling the attribute field index assignment service class to carry out Hash calculation on the service attribute field, and matching an index in a Hash array based on a Hash calculation result to determine a system attribute field corresponding to the service attribute field. According to the method, the system attribute field and the service attribute field are automatically aligned in a Hash index mode, and the alignment compatibility is improved through deformation processing of the system attribute field.

The invention discloses a label system based on a relational database, and relates to the technical field of database management. Comprising a data resource management module, a label rule management module, a crowd rule management module, a task scheduling module, a data authorization query module and a system security module. According to the method, information such as dispersed object data, management label rules and scheduling strategies can be integrated to realize labeling, classification and query analysis of the object data, corresponding user portraits and business object label systems are established, and by combining an actual government affair service scene, through analysis and association retrieval of user portrait data, the user portraits and business object labels can be obtained. And precise and personalized services are realized.

The invention discloses a prediction method, device and equipment and a readable storage medium, and the method comprises the steps: obtaining a relational database containing a to-be-predicted object in response to a prediction request, taking a business object in an entity table in the relational database as an entity node, taking a business event in an event table as an event node, and carrying out the prediction of the to-be-predicted object. And determining edges between the entity nodes and the event nodes according to foreign keys corresponding to the business events in the event table, and constructing a target topological graph according to the entity nodes, the event nodes and the edges between the entity nodes and the event nodes. Therefore, the target features of the to-be-predicted object are automatically extracted from the whole target topological graph, original data in all tables in the relational database are fully utilized, human intervention of feature engineering is reduced, the prediction efficiency is improved, the complex relation between the to-be-predicted object and other data in the relational database can be better captured, and the prediction accuracy is improved. And the accuracy of model prediction is improved.

The invention discloses a business data modeling method and system based on metadata, and relates to the technical field of business data management.The method comprises the steps that a standard field list is created; creating a business object; extracting table structure metadata from the database to obtain a physical table field; establishing a field mapping matrix between the physical table field and the standard field list; and generating a business data model based on metadata according to the business object and the field mapping matrix. According to the scheme of the invention, the business model is constructed on a unified standard field, and scattered, disordered and difficult-to-understand physical data in an enterprise can be systematically converted into high-quality data assets which are clear in responsibility, unified in meaning, clear in relation and traceable.

The invention provides a remote sensing monitoring multi-scale space grid index construction method and device, and belongs to the technical field of remote sensing monitoring, and the method comprises the steps: dividing uniform basic grids based on the geographic boundary of a monitoring region; calculating a service importance score fusing the supervision priority, the geographic complexity and the historical change frequency for each basic grid; according to the score, a preset threshold value and a dynamic decision, refinement, maintenance or aggregation operation is executed on the basic grid, and a service-adaptive multi-scale grid structure is formed; unified codes based on a Z-order curve are generated for all the grids; establishing association mapping between the water conservancy business object and the grid and determining a main grid; and finally outputting a spatial grid index fusing geometry, coding, hierarchy, attribute and association relationship. According to the method, the AI interpretation efficiency of the mass remote sensing data can be remarkably improved, the allocation of computing resources is optimized, and the accuracy of monitoring and early warning is improved through deep fusion with business rules such as river and lake supervision.

The invention discloses an API security vulnerability dynamic monitoring method based on exception monitoring, and belongs to the technical field of computer security protection, and the method comprises the steps: obtaining request layer data and response layer data of a target API, and generating a flow data set; extracting behavior characteristics from the traffic data set, and generating a behavior characteristic matrix; performing context sensing analysis on the behavior feature matrix, and generating a vulnerability chain prediction result in combination with a business object mapping relationship; analyzing vulnerability path nodes in the vulnerability chain prediction result, and generating a temporary detection rule; and detecting the subsequent API request in real time by using the temporary detection rule, and outputting a security detection result. According to the method, traffic feature extraction, vulnerability chain prediction and adaptive rule generation mechanisms are adopted, and service context-associated real-time threat interception and continuously optimized security protection closed loop can be realized.

The application provides a multi-blockchain data processing method, device, equipment, system and medium. The method comprises the following steps: when a first consensus node obtains a first service, a first cross-chain reading contract on a first chain is called to read first service association information associated with the first service from a management chain; when the first consensus node determines that a first service object has a first service processing right based on the first service association information, a first service processing contract on the first chain is called to execute the first service to obtain a first service execution result; when the first consensus node obtains a cross-chain reading request sent by a second consensus node, service data in the first service execution result is read from the first chain, and core data in the service data is returned to the second consensus node, so that the second consensus node writes a second service execution result obtained based on the core data into a second chain. The application can reduce the complexity of chain data storage.

The invention relates to the technical field of automatic testing, discloses a fine-grained data change log management method and system for an automatic testing platform, and aims to realize high-precision, low-overhead and high-reliability log acquisition of business object field and set element change in a testing process on the premise of not modifying a testing code. The system comprises a declarative acquisition module for marking a to-be-monitored test object through declarative configuration and dynamically injecting log acquisition logic during test operation; the log processing engine is used for respectively acquiring state snapshots of the target business object before and after the test is executed, and identifying change information; the template factory component is used for packaging the identified change information, the context metadata and the timestamp according to a predefined structured data template to generate a standardized log record; and the log persistence module is used for writing log records into a lock-free annular buffer region realized based on atomic operation, and the log records are triggered by a batch coordinator of an independent thread to be asynchronously written into a main storage system in batches.

The invention provides a dynamic man-machine verification method based on access path modeling, and relates to the technical field of electrical data processing.The dynamic man-machine verification method comprises the steps that interface access log data in the user interface calling process, session behavior data in the user session access process and original access behavior data in the business object processing process are collected; establishing an access path behavior characteristic model; and respectively calculating an access path anomaly index, a behavior rhythm deviation index and a business semantic conflict index, and performing evaluation to realize hierarchical identification of access path structure anomaly, access behavior rhythm anomaly and business semantic conflict risks. And when an exception is detected, the system sequentially triggers access risk control, access behavior enhanced verification and a dynamic multi-factor man-machine verification strategy, and updates an access path behavior characteristic model to form a closed-loop dynamic man-machine verification mechanism, so that the recognition capability of an application system on automatic script access and abnormal operation behaviors is improved.

The invention relates to the technical field of interface integration development, and discloses a heterogeneous system interface integration method and device oriented to a manufacturing operation management system, and the method comprises the steps: converting original data based on an original communication protocol in a heterogeneous system into JSON format standard data based on a standard communication protocol based on a protocol converter, constructing a matching relationship between a heterogeneous system data structure in an XML form and a data structure of an MOM system business object; and sending the JSON format standard data and the data structure matching relationship to the MOM system through a standard communication protocol, so that the MOM system performs data processing and conversion on the JSON format standard data according to the data structure matching relationship in combination with a WebApi mode to obtain target data required by the MOM system. According to the method, the data integration complexity of the MOM system is effectively reduced, the repeated development work is reduced, the development efficiency and the data quality are improved, and the operation efficiency and the integration effect of the MOM system are guaranteed.

The invention discloses a business code decoupling method and device and computer equipment. The method comprises the following steps: acquiring a user-defined annotation which is used for marking a business object to be decoupled; in response to a starting instruction of an application program to which the to-be-decoupled business object belongs, selecting the to-be-decoupled business object from the application program according to the user-defined annotation; and registering the to-be-decoupled business object into a binding device corresponding to the to-be-decoupled business object in the container to complete decoupling of the to-be-decoupled business object and the controller in the application program. According to the method and the device, the technical problem of relatively low readability of the service code caused by high coupling of the service code in the related technology is at least solved.

The embodiment of the invention provides a method and equipment for automatically designing a domain model, and a storage medium. The method comprises the following steps: acquiring a plurality of business object names input by a user; constructing a first prompt instruction used for prompting design of the domain models, and inputting the first prompt instruction and the plurality of business object names into the first large language model to obtain JSON description of the domain models corresponding to the business object names and JSON description of a data flow relationship between the domain models; and constructing a second prompt instruction used for prompting design of a model field of the domain model, and inputting the second prompt instruction, the JSON description of the domain model and the JSON description of the data flow relationship related to the domain model into a second large language model to obtain the JSON description of the model field of the domain model. The domain model design is automatically generated through a large language model, a user only needs to input a business object name, a system can automatically output the domain model in a JSON format, a model data flow relation and a model field definition, and the domain model and related description thereof are efficiently output.

The present disclosure provides a business data processing method and device, equipment and medium, which are related to the technical field of artificial intelligence and can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving. The method comprises: in the case of detecting a business access request for indicating access to a first preset business object, obtaining a first access credential matched with the business access request; the first access credential is determined according to dynamic factor data and static factor data of the terminal of the business management client; sending a first credential acquisition request for indicating obtaining a second access credential to the management server, the first credential acquisition request comprising the first access credential; obtaining a first credential acquisition result determined by the management server based on the first access credential and an access control strategy list; and performing business access control based on the first credential acquisition result. Through the method, the business access efficiency and security are improved.

The invention relates to the technical field of real-time cooperation of agricultural and pastoral products-food supply chains, in particular to an agricultural and pastoral supply chain voice interaction system and model driving method based on enterprise WeChat, and the system comprises an enterprise WeChat interaction module which is used for obtaining voice, pictures, position information, WeChat numbers and mobile phone numbers inputted by a user; the large model (LLM) service module is used for analyzing the input information according to a preset scenarized cue word template and outputting structured JSON (JavaScript Object Notation) data; the scene event agent is used for storing a service event configuration library in a JSON format, outputting a matching event definition according to LLM, and triggering a background service system to operate through an RPA engine; the data agent is used for dynamically generating SQL statements on the basis of an AtributeSet configuration table and realizing addition, deletion, modification, query and associated query of business objects; the method has the beneficial effects that compared with a traditional mode that an operator enters a software system manually after going to an office, the timeliness of each business operation is improved by at least half an hour, and the time is often prolonged by one day or even several days by adopting the scheme.

The invention relates to a business system updating method and device, computer equipment, a computer readable storage medium and a computer program product, relates to the technical field of databases, and can improve the adaptation degree of a data architecture and a business current situation. The method comprises the following steps: acquiring a database table of a business system of an enterprise, determining a logic entity corresponding to the database table, and storing the logic entity into an enterprise architecture management system; determining a conceptual entity corresponding to the business object of the enterprise based on a pre-acquired business architecture of the enterprise; determining a first association relationship between the logic entity and the concept entity; based on the first association relationship and a second association relationship between the logic entities, determining a data architecture of the enterprise, and storing the data architecture into an enterprise architecture management system; and based on the data architecture, updating the database table in the business system to obtain an updated business system.

A 2-way and 3-way compare-merge tool that allows consultants and customers to reconcile the changes that they have made with a generated copy of the resources. Systems and methods that provide an effective, easy-to-use comparison tool includes: a schema-aware compare; sophisticated handling of collection properties, especially nested collections; effective matching algorithms to recognize that two items are the same business object in spite of outward differences; an ability to accept user hints and input and persist user decisions; a structured report that reflects the structure of the business object; color formatting, tagging, and filtering to find the important changes among the large volume of differences (among the thousands of changes per resource). Furthermore, adding a common ancestor as a third data point in the 3-way compare identifies the source of changes.

Embodiments of the present application provide a data pushing method and device, equipment and medium, the method relates to the field of artificial intelligence, and the method comprises the following steps: receiving business object data uploaded by a first object through a first client; obtaining effective content corresponding to effective object behavior from historical content; taking content attribute values corresponding to the effective content as object attribute values of the first object, determining a weighted business object attribute value of the first object in a business object cycle based on the object attribute values, determining a first attribute tendency of the first object as an attribute tendency corresponding to the weighted business object attribute value; if the weighted business object attribute value meets a reverse attribute recommendation condition corresponding to the business object cycle, obtaining target recommendation content matched with a second attribute tendency, and issuing the target recommendation content to the first client. By adopting the present application, information stream content (i.e. target recommendation content) with an opposite attribute tendency can be pushed to the first object, and the flexibility of information stream content recommendation is improved.

Embodiments of the present disclosure disclose a service request processing method and device, electronic equipment and a computer readable medium. A specific embodiment of the method comprises: in response to receiving a service participation request, querying object participation flow information corresponding to the service participation request; determining the number of historical participations of the object according to the object participation flow information; constructing an object participation flow identifier according to the number of historical participations of the object and service object information; and storing the object participation flow identifier in a database corresponding to the object participation flow information. The embodiment is related to digital marketing, realizes user concurrency inventory restriction in a lock-free manner, and meets the user dimension inventory restriction of a business scenario.

The invention provides a business processing method, which comprises the following steps of: acquiring a task decomposition table associated with a business object, the task decomposition table comprising a plurality of tasks, a responsible subject and a function platform associated with each task, and a dependent task associated with a non-initial task in the plurality of tasks; a task flow chart is generated according to the task decomposition table, the task flow chart comprises a plurality of rows defined by the responsible subject and a plurality of columns defined by the function platform, a plurality of areas are formed at intersections of the rows and the columns, the tasks are located in the areas, and directed indicators are arranged between the non-initial tasks and the dependent tasks associated with the non-initial tasks; and in response to the execution business object, presenting an execution result in the task flow chart. The invention further provides electronic equipment, a computer storage medium and a computer program product.

This invention relates to a fault diagnosis method and system for energy storage devices, belonging to the field of energy storage system monitoring technology. The method includes the following steps: inputting real-time features extracted from real-time energy storage business object information data into a trained deep learning model based on a self-attention mechanism to obtain fault diagnosis results and expert suggestions for the energy storage device; the dataset used during training of the deep learning model includes temporally ordered features extracted from an expert knowledge base; the expert knowledge base is constructed based on historical energy storage business object information data, including fault types and handling strategies for energy storage devices; the historical energy storage business object information data includes historical fault reports, fault handling records, and expert diagnoses of the energy storage device. This invention utilizes the parallel computing capabilities and self-attention mechanism of the deep learning model based on a self-attention mechanism to improve the model's performance and efficiency, effectively improving the fault diagnosis efficiency of energy storage devices.