199 results about "Business object" patented technology

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

The invention relates to 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 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 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 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.

The invention relates to the technical field of artificial intelligence, and discloses an intelligent pair exercise method, device and equipment based on semantic recognition, and a storage medium, and the method comprises the steps: analyzing an intelligent pair exercise request initiated by a user side, extracting target scene information and customer portrait data, recognizing the specific demands and target scenes of the current pair exercise of a user, and carrying out the recognition of the target scenes. And the practice better meets the actual business requirements. And inputting the target scene information and the customer portrait data into a large language model, and generating a dialogue text matched with the target scene in combination with a pre-constructed corpus knowledge base. And on the basis of the generated dialogue text, the actual business scene is simulated to perform dialogue with the business object of the user side, so that the fluency and authenticity of the dialogue are improved, and the scene adaptability is enhanced. By analyzing and simulating the dialogue data, the performance of the business object in the dialogue can be accurately evaluated, an optimization direction is provided for subsequent pair practice, and the efficiency and effect of intelligent pair practice training related to financial and medical business scenes are improved.

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

The invention provides a marketing system business adaptation method and a related device, and the method comprises the steps: determining a business object of a marketing system, and carrying out the correlation mapping of the business object based on a state function, and obtaining an executable marketing business order; determining configuration parameters of an executable marketing business order, and deducing the configuration parameters based on a mapping function to obtain an executable business scheme; performing rule matching on the executable service scheme based on the conditional function to obtain a service adaptation rule; and verifying the executable business scheme based on the business adaptation rule to obtain a business execution instruction, the business execution instruction being used for performing configuration adjustment on the marketing system. According to the method and the device provided by the invention, the marketing system can realize quick adaptation of the business function by adjusting the digital entity and the configuration thereof without frequently modifying the code, so that the reusability, the expansibility and the adaptability of the model are greatly improved on the premise of keeping the overall consistency of the system.

The invention provides a service processing method and device and electronic equipment, and relates to the technical field of infrastructure and IT supporting, and the method comprises the steps: adding the information of service capability; according to a business object in a pre-constructed business object model and a business scene in a business scene model, establishing an association relationship among the business capability, the business object and the business scene; the business object model comprises a mapping relationship among a plurality of business objects in at least two business systems; the business scene model comprises an association relationship among a plurality of business scenes. According to the embodiment of the invention, the mapping relationship is established among the plurality of business objects, so that different systems can be mapped according to capabilities, meaning confirmation caused by parameter differences among the business objects can be reduced, and the development efficiency is improved.

The present application provides a resource management method and apparatus, and a device. The method comprises: for each resource object comprising at least one resource identification point, acquiring load data of each resource identification point, the load data representing resource usage of the resource identification point; on the basis of the load data of each resource identification point, determining a load level of the resource object; on the basis of the load level, determining an overload control object, the overload control object comprising at least one of: a background task of the resource object, a foreground service object of the resource object, and a token bucket object for backpressuring host IO; and controlling resources occupied by the overload control object. By means of the technical solution of the present application, a current load can be prevented from exceeding the maximum processing capacity of a distributed storage system, and the operational stability and service reliability of the distributed storage system can be effectively improved.

The embodiment of the application discloses a memory recycling method and system for a compiled language and a computer readable storage medium. The method comprises the following steps: scanning a to-be-recycled memory object node, determining a garbage collection analysis batch and a node entry edge access frequency of the to-be-recycled memory object node according to a uniform bitmap page manager; accumulating the node entry edge access frequency of the to-be-recycled memory object nodes in the same garbage collection analysis batch, judging the relationship between the accumulated node entry edge access frequency and the smart pointer reference count of each node in the batch, and determining the object node to be recycled according to the relationship between the node entry edge access frequency and the smart pointer reference count; and releasing the memory of the object node. The embodiment of the application realizes the recyclable management of the life cycle of a business object without changing the memory layout of the business object, and solves the problem of circular reference.

The application discloses a kind of multi-industry mode middle station's business object attribute efficient extension method and system, the method includes the following steps: constructing flat multi-module middle station field object design;Based on dependency relationship scanning and collecting business object definition;Read the object expansion relationship file set, and carry out expansion relationship screening;Split out the business object set with expansion relationship and the business object set without expansion relationship, merge and remove attribute definition to the former, then output business object complete definition, do not handle the latter.This application combines the modularization of business object attribute disintegration, componentization reorganization thinking and flat expansion design method, so that the middle station system can easily cope with the multiple needs of new business attribute addition, adjustment and even elimination, so as to quickly respond to market changes, effectively support and empower diversified business scenarios.

Embodiments of the invention disclose a data generation method and apparatus, a computer, a readable storage medium and a program product. The method comprises the steps of obtaining first image data, constructing dense point cloud data of the first image data, performing scene reconstruction on the dense point cloud data, and generating reconstructed scene data; identifying business object data in the first image data, and acquiring object point cloud data from the dense point cloud data based on the business object data; and performing object attitude adjustment on the object point cloud data to obtain an updated object, and combining the reconstructed scene data with the updated object to generate target image data. By adopting the method and the device, the convenience of data generation and the richness of data resources can be improved.

This invention relates to the fields of computer data processing and database technology, specifically to an intelligent search system for business objects based on metadata. The system includes: a context request parsing module: receiving abstract search requests and extracting environment parameters and permission features to generate a dynamic context snapshot; a logical structure construction module: combining snapshot execution rule injection operations to generate a logical abstract syntax tree containing implicit filtering conditions; a multi-dialect compilation and execution module: translating the syntax tree into physical execution statements matching the target storage engine dialect according to physical mapping rules; and an adaptive optimization feedback module: monitoring execution latency data and dynamically correcting the index strategy definition. This invention solves the maintenance bottleneck caused by the tight coupling between business logic and physical storage in heterogeneous data source environments, achieving zero-code modification and hot deployment of business logic.

The invention discloses a service full-link real-time perspective and driving method, device and equipment and a storage medium, and the method comprises the steps: building a hybrid data integration system, and integrating data dispersed in each heterogeneous service system to a lightweight order center; obtaining a data change event of the core business system through database log mining and issuing the data change event to a message queue; updating the lightweight order center based on the incremental data; calling a source system interface to acquire and process missing data in real time during query through an on-demand back-to-source mechanism; assembling the basic data and the supplementary data into a complete business object, and generating a full-link state view through state mapping; and when the key service state node is identified to be changed, broadcasting an event to a subscription system to trigger downstream service process automation. According to the invention, real-time integration and second-level response of service data are realized, data blind areas are eliminated while stability is guaranteed, full-link state perspective and service process automation are realized, and service operation efficiency and reliability are improved.

The application 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 acquired, the metadata covering data table groups, fields and field attributes. Data tables having a correlation relationship in the two systems are integrated into source business objects and target business objects respectively based on business semantics. A mapping relationship between the source business objects and the target business objects is established, data in the source business objects is migrated to the target system based on the mapping relationship and conversion rules, and the migrated data is verified. The efficiency and accuracy of data migration are improved, the consistency of migration structure and business semantics is ensured, and semantic deviation and configuration errors caused by a traditional table-level migration mode are reduced. The application can better adapt to a migration scene of complex business data between heterogeneous systems.

The embodiment of the invention discloses a compiling language-oriented memory recovery method and system and a computer readable storage medium. The method comprises the following steps: scanning a to-be-recycled memory object node, and determining a garbage recycling analysis batch and a node edge access frequency of the to-be-recycled memory object node according to a unified bitmap page manager; for the to-be-recycled memory object nodes in the current same garbage recycling analysis batch, accumulating the node edge access times, and judging the relationship between the accumulated node edge access times of each node in the batch and the intelligent pointer reference count; determining an object node to be subjected to memory recovery according to the relationship between the node edge access times and the intelligent pointer reference count; and performing memory release on the object node. According to the embodiment of the invention, on the premise that the memory layout of the business object is not changed, recoverable management of the life cycle of the business object is realized, and the problem of circular reference is solved.

The invention relates to the field of building informatization, and discloses an ontology-based urban building industry multi-source heterogeneous data integrated treatment method and system, and the method comprises the steps: constructing an urban building domain ontology library; performing semantic analysis and metadata extraction on the urban construction industry multi-source heterogeneous data; and based on the building domain ontology library, the extracted metadata and the generated mapping comparison table, semantic association of cross-data-source business objects is established through a semantic reasoning engine, and a visual data asset directory is generated. According to the technical scheme, the problems of semantic barriers and islands of data in the building industry are solved.

This application provides a text processing method, apparatus, computer device, and readable storage medium. The method includes: acquiring business text provided by a business object for a business task, historical text associated with the business task, and a process description syntax corresponding to the business task; the process description syntax includes S process operations of a workflow; modifying the process description syntax according to the historical text to obtain a modified process description syntax corresponding to the business task; the modified process description syntax includes N process operations that can be executed after executing the process operations corresponding to the historical text; determining the modified process description syntax as prompt words; inputting the business text, historical text, and prompt words into a large language model; outputting candidate output text through the large language model; and determining the response text used to reply to the business text in the business task based on the candidate output text and associated process operations. This application can improve the reliability of text responses.

The invention provides a business access method and device, a medium, equipment and an intelligent approval system. The business access method comprises the following steps: obtaining an approval material corresponding to a target business object, and dividing the approval material into to-be-approved data corresponding to different approval dimensions according to semantic information represented by the approval material; for each examination and approval dimension, searching corresponding examination and approval standard data in the exclusive knowledge base corresponding to the examination and approval dimension through the examination and approval intelligent agent corresponding to the examination and approval dimension, verifying the to-be-examined and approved data corresponding to the examination and approval dimension according to the examination and approval standard data to obtain an independent examination and approval result corresponding to the examination and approval dimension, and verifying the to-be-examined and approved data corresponding to the examination and approval dimension according to the independent examination and approval result. Summarizing the independent examination and approval results corresponding to the examination and approval dimensions to obtain a comprehensive examination and approval result for the target business object; and according to the comprehensive examination and approval result, determining whether the target business object meets a business access condition or not.

Embodiments of the present application provide a knowledge base generation method and device, electronic equipment and storage medium, and relate to the field of databases, and include: obtaining to-be-created business shelf information; obtaining parameter values corresponding to the target business object, and determining general master data tags in the target knowledge tag according to matching of the target knowledge tag and existing general knowledge tags in a database, and obtaining a specific business object; finding a corresponding existing hierarchical framework in the database; obtaining the existing hierarchical framework and adding the specific business object to the existing hierarchical framework; associating nodes in the added existing hierarchical framework with corresponding parameter values to obtain a target hierarchical framework; and generating a sub-knowledge base corresponding to the business shelf information based on the target hierarchical framework. In the embodiments of the present application, the construction of a sub-knowledge base can be supported according to user requirements and selected tags, thereby reducing development costs.