508 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 provides a firmware logic vulnerability detection method and system based on a big language model thinking chain, electronic equipment and a computer readable storage medium. The method comprises the following steps: constructing a business logic vulnerability knowledge base by adopting a first big language model; obtaining basic data of a firmware business program to be detected to construct a business object knowledge graph; based on the business logic vulnerability knowledge base, adopting a retrieval enhancement generation algorithm to obtain a sensitive control flow and a business logic vulnerability normal form corresponding to the to-be-detected firmware business program; based on the business logic vulnerability normal form and the sensitive control flow corresponding to the to-be-detected firmware business program, adopting a large language model thinking chain technology to iteratively generate multi-level cue words; and based on the multi-level cue word and the business object knowledge graph, adopting a second large language model to obtain a logic vulnerability detection result. According to the method and the device, various service logic vulnerabilities in the Internet of Things terminal firmware can be detected.

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 embodiment of the invention relates to the technical field of data storage, in particular to a data storage method and device, equipment and a storage medium, and aims at improving the data read-write efficiency of distributed storage. The method comprises the following steps: receiving a data writing request sent by a client; performing erasure code calculation on business data corresponding to the data writing request to obtain storage data; through a preset network transmission protocol, the storage data is written into a hard disk space pre-applied from at least one data storage node, and the minimum storage unit of the hard disk space is a data block; and recording a mapping relationship between the business object range corresponding to the storage data and the internal object range in the data storage node in the metadata storage node.

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 embodiment of the invention belongs to the technical field of artificial intelligence, is applied to a business handling risk identification scene, and relates to a risk identification method, device and equipment and a storage medium thereof. Performing verification input structure arrangement on the risk verification data to obtain structured data consistent with the input requirement of the pre-trained risk identification model; identifying a risk value of the target business object; and generating a business conclusion based on the risk value, and outputting the business conclusion through a risk identification model. According to the risk identification method provided by the invention, in particular in a financial insurance policy underwriting service, before model identification is carried out, verification input structure arrangement is carried out on the complicated risk verification data in advance, so that the data identified during model identification is structured data, and the insurance policy underwriting efficiency is fully improved; and in combination with the risk value, the insurance policy underwriting accuracy is 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 discloses a data processing method and device based on a block chain and related equipment, and can be applied to the technical field of block chains. The method comprises the steps of obtaining a to-be-signed transaction; when it is identified that risk parameters exist in the key parameters, obtaining transaction auxiliary resources associated with the transaction to be signed, and obtaining a first account address; obtaining a second account address, generating a first business transaction based on the transaction auxiliary resource, the first account address and the second account address when the number of address transactions of the second account address is smaller than a transaction number threshold, and sending the first business transaction to the block chain node; and when the transaction auxiliary resource exists on the second account address, performing transaction signature on the to-be-signed transaction through the private key information corresponding to the second account address to obtain first transaction signature information, constructing to obtain a first signed transaction, and sending the first signed transaction to the block chain node. By adopting the method and the device, the security of the resources of the business object on the block chain can be improved.

Example methods and systems are directed to generating knowledge graph entities from text. Natural language text is received as input and processed using named entity recognition (NER), part of speech (POS) recognition, and business object recognition (BOR). The outputs of the NER, POS, and BOR processes are combined to generate knowledge entity triples comprising two entities and a relationship between them. Keywords are extracted from the text using NER to generate a set of entities. A node in a knowledge graph is created for at least some of the entities. A POS tagger identifies verbs in the text, generating a set of verbs. Relational verbs (e.g., “talk to” or “communicated with”) are detected and used to create edges in the knowledge graph. The knowledge graph may be converted back to natural language text using a trained machine learning model.

The embodiment of the invention provides a network resource dynamic management and control method and system, electronic equipment and a storage medium, and belongs to the technical field of computers. According to the method, resource data from a resource side and network management configuration data from a network management side are collected, and data fusion of the same object is performed on the resource data and the network management configuration data through a preset mapping rule to obtain network information fusion data of different objects, so that resource and network data fusion of the same service object is realized; comparing first object attribute data of a resource data part in the network information fusion data with second object attribute data of a network configuration data part to obtain difference change data, and determining and issuing a network resource rectification notice according to the difference change data; automatic comparison of the network and the resources is achieved to obtain comprehensive difference change data, timely updating and rectification of the network resource data are achieved through a notification issuing mode based on the difference change data, and the rectification efficiency and comprehensiveness of the network resources are improved.

The invention relates to a receipt query method and device, computer equipment, a storage medium and a computer program product. The method comprises the steps of obtaining an associated query scheme corresponding to a source document according to an associated query request for the source document; the association query scheme comprises a logic association scheme between the source business object and the target business object and a query display scheme of the target business object; based on the logic association field, determining a logic association entity record of the source document based on the logic association entity, and based on the logic association entity record, determining an actual association query condition of the target business object based on the logic association entity; based on the query display entity, the logic association entity and the actual association query condition, determining a data display filtering condition of the target business object based on the query display entity; and querying data from the target business object database based on the query display scheme and the data display filtering condition to obtain a query result corresponding to the associated query request. Therefore, the query efficiency can be improved.

The invention relates to a data matching method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps of obtaining to-be-matched text data; determining a business object matched with the text data based on a matching result of the text data and prompt words in a preset relation table, and obtaining a candidate data identifier based on a field identifier of the business object; extracting a description field of the candidate data from the candidate data corresponding to the candidate data identifier; and based on the similarity between the description field of each candidate data and the text data, determining target data matched with the text data from the candidate data. According to the method and the device, matching between the data data and the text data is converted into matching between texts, so that effective matching between the data data and the text data is realized.

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 embodiment of the invention discloses a processing method and device of a semiconductor manufacturing execution system, electronic equipment and a storage medium, and the method comprises the steps: obtaining an interface specification for creating a business object from a business object manager interface; creating a business object by using a business object manager according to the business attribute of the semiconductor manufacturing entity and the interface specification for creating the business object; according to the relationship between the semiconductor manufacturing entity and the table in the database, configuring a mapping relationship between the business object and the table in the database; carrying out persistence operation on the mapping relation between the business object and the table in the database by utilizing a persistence layer; calling a business object manager interface to operate the business object; and synchronizing the operation on the business object into the database by using the persistence layer. Wherein each interface is not external. Therefore, according to the scheme, the business object concept is introduced into the semiconductor manufacturing execution system, the risk of externally exposing entity data can be reduced, and the business development threshold is reduced.

The embodiment of the invention provides an information processing method and device, equipment, a storage medium and a program product. The method comprises the steps that in response to a processing request received by a target application from a user, an aggregation message generated based on the processing request is presented in an interactive interface of the target application, and the aggregation message comprises a plurality of content items generated by recognizing a business object of a preset type in at least one file; in response to a condition that a first identification result corresponding to a first content item in the plurality of content items meets a preset condition, providing a service entry corresponding to the first content item in the aggregation message; and in response to the selection of the service entry, initiating a service request associated with the target service at least based on the first identification result. Thus, the user can conveniently initiate the processing requests to the target application for the multiple business objects at the same time, the business requests can be selectively initiated for the business objects, and the user experience and convenience are improved.

The invention relates to the technical field of solid-state storage, and provides a method and device for managing hot data cache in a distributed storage system and a storage medium. The core of the method is that a Bloom filter is utilized to count popularity by taking an object as a unit, and hot data objects are distinguished. When the data is written, the hot data object is additionally written into the NVMe disk cache after being written into the HDD, so that sequential writing is realized to improve the performance. And during reading, if the cache is hit, preferentially reading the cache. And when the business object ID is deleted or the hot data is overwritten, checking and deleting the invalid hot data object to recycle the space. And identifying and deleting the corresponding hotspot data during the main and standby switching of the collating group. When the OSD is powered on, the hot data cache is defaulted to be invalid, the hot data is cleared up in the power-on process, and the hot data cache function is recovered after the hot data cache function is cleared up. According to the method, the overall performance of the storage system is remarkably improved, and efficient operation of the storage system is ensured.

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 provides a network configuration data auditing method and device, a computer storage medium and electronic equipment, and relates to the technical field of computers. Comprising the following steps: generating a network element twinborn body of an actual network element based on a digital twinborn technology, wherein network element data of the network element twinborn body at least comprises instruction configuration data; packaging the instruction configuration data according to the network element configuration model to obtain a network element configuration twin; associating the network element configuration twins based on a pre-constructed service twinborn model to generate a first service object, and further generating a service twinborn; for each piece of instruction configuration data in the to-be-issued network configuration scheme, generating a configuration instance corresponding to each piece of instruction configuration data according to the network element configuration model, associating the configuration instances based on the service twinborn model to generate a second service object, and further generating an instance to be issued; and auditing the to-be-issued instance based on the service instance in the actual network. According to the invention, the workload of auditing the network configuration data can be reduced, and the auditing efficiency is improved.

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 provides an information sending method and device, equipment and a medium. The method comprises the following steps: when a business object corresponding to a first business client is an information sending object, outputting an information editing page, and inputting business data information on the information editing page; when the information data volume of the service data information is greater than an information data volume threshold value associated with the service data information, obtaining a service key; in response to the information sending operation, acquiring an information receiving address of the information receiving object, and performing information encryption processing on the service data information through the service key to obtain service encryption information corresponding to the service data information; performing key encryption processing on the service key through the public key information corresponding to the information receiving address to obtain a service encryption key, and establishing an encryption mapping relation table between the information receiving address and the service encryption key; and sending the encryption mapping relation table and the service encryption information to an information data processing node. The information sending efficiency can be improved.

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.