28 results about "Global business" patented technology

The invention relates to the field of big data analysis, and discloses a business collaborative management method and system based on a power grid comprehensive plan, and the method comprises the steps: fusing multi-source heterogeneous data through ontology modeling, and constructing a global business entity relation graph; intelligently identifying a relationship between service elements by using a graph neural network and generating plan elements; performing multi-target collaborative optimization by adopting multi-agent reinforcement learning to generate a global optimal plan scheme; performing real-time deduction and dynamic early warning on plan execution by means of a digital twinborn technology; and finally, key data is stored through the block chain, and closed-loop self-optimization of the AI model is realized by using an evaluation result. According to the method, the problems of data islands, difficulty in collaboration, management and control lagging and the like in the prior art are effectively solved, the whole-process intelligent, collaborative and closed-loop management of power grid business from planning, execution monitoring to evaluation optimization is realized, and the resource configuration efficiency, the operation management level and the strategic decision-making capability of power grid enterprises are remarkably improved.

The present invention relates to the fields of blockchain and financial technology, and relates to a blockchain-based electronic transaction system using physical precious metal reserves to issue all certificates. The present invention provides a technical improvement to conventional blockchain-based electronic transaction systems by introducing physical precious metal reserves as a new component and issuing all electronic transaction certificates. Each certificate in a unit of measure has a one-to-one mapping to each mass component of physical precious metal reserve, so that the system achieves qualitative persistence, identity, and replicability across time and space in terms of constituent elements, issuance mechanisms, functional structures and interaction relations thereof, and the production and manufacturing cost of the system can be meaningfully analyzed. The present invention enables pricing, trading, and accounting of goods and services based on the mass of precious metals, and enables direct exchange of goods and services with physical precious metals, meeting innovative operational requirements of multinational corporations in global business.

This invention discloses a real estate enterprise project management method and system based on edge computing, specifically relating to the field of data processing technology. It addresses the problem of disordered logical order of cross-node related business events in existing cloud-edge collaborative architectures due to inconsistent clocks and network latency among edge nodes. The method involves acquiring business event data and local clock data collected by each edge computing node, calibrating the local clock based on the inter-node network communication latency threshold to obtain a unified clock reference, extracting and matching resource identifiers from each event data based on the unified clock reference to filter cross-node related business events, and then combining project geographical characteristics and process rules for a rationality assessment to obtain valid related events. Based on predefined state transition rules for resources, the method analyzes the causal logical order between events and generates sequential association results. Based on these results, the business event data is standardized to generate a data summary and uploaded to the cloud platform for integration into a global business status view.

The invention discloses a data-driven scene atlas identification method and device, equipment and a medium, and relates to the technical field of atlas identification, the method comprises the following steps: obtaining multi-link target business data of an automobile whole industry chain, multiple links comprising a research and development link, a production link, a supply chain link, a sales link and an after-sales link; on the basis of the multi-link target business data, calculating global comprehensive feature values of all links and all scenes; according to the global comprehensive feature value of each scene of each link, obtaining the correlation degree between the scenes of any two different links; identifying a target scene pair of which the correlation degree is greater than a correlation degree threshold value from the candidate scenes of which the global comprehensive feature values are greater than the link feature threshold value; and integrating the target scene pair to obtain a scene map. According to the method, the technical problems of scene fragmentation, graph splitting and incapability of supporting global business collaboration in a traditional scheme can be solved.

The invention relates to the technical field of electric power purchase, in particular to a federated large model construction method and system in the field of electric power purchase. Comprises: establishing a purchase database; setting a plurality of data source points of the basic business model based on the purchase database, and setting a primary training strategy according to all the data source points and the basic business model; and obtaining an iterative service model according to the preset feedback time node, and judging whether to output a global service model or not according to the iterative service model. A plurality of specific tasks are generated by performing global analysis on business requirements in the field of power purchase, and a training strategy is dynamically adjusted based on association degrees between each specific task and different data source points, so that the training effect of each data source point on a basic business model is improved, the influence of a data island is reduced, and the training efficiency is improved. Therefore, the global business model can effectively fuse multi-party knowledge.

The invention provides an information processing method and device, equipment, a storage medium and a product, and relates to the technical field of computers. The method comprises the steps that preset service attribute information of a target object in at least two service scenes is acquired, and the target object is used for being displayed in the at least two service scenes; integrating the preset service attribute information to obtain global service attribute information; under the condition that the global service attribute information meets a preset condition, a preset instruction is sent to a server corresponding to the at least two service scenes, and the preset instruction is used for instructing the server to execute a preset operation for the target object in the corresponding service scene. The preset operation is associated with a display mode of the target object in the business scene. By adopting the technical scheme, the display of the target object in each business scene can be more accurately controlled.

The invention discloses a total element-based dynamic business process intelligent arrangement and execution method and system, a medium and a product, and relates to the field of business process management, and the method comprises the steps: carrying out the version selection and instantiation of each tool element in a tool element set; according to the input and output contract of each tool element in the instantiated tool set, constructing a preliminary directed acyclic graph; performing iterative optimization by adopting a structure quality function according to the preliminary directed acyclic graph structure; performing dynamic configuration and training on the model component of each tool element in the business flow chart; performing global business logic verification on the dynamic business flow chart; dynamically operating the executable business process model by utilizing an execution engine; constructing a runtime data set according to the runtime data in the execution process; and generating an incremental training set for feedback based on the runtime data set. According to the application, the business process can be automatically constructed, dynamically executed and continuously optimized.

The application discloses a kind of globalization user compliance access method, device and electronic equipment based on routing strategy, wherein method includes the following steps: if user login behavior, user initiates login request to uniform user gateway;Authentication unit sends the user request of authentication pass to local user center and processes, if it is not local user, it is sent to global user center and carries out global inquiry;If global inquiry fails, directly return failure result;Otherwise, according to the routing information of user belonging of global routing strategy, redirection is carried out to the request processing of user belonging to off-site user center;If it is user business operation behavior, user initiates service request to uniform user gateway;After authentication unit passes, request routing to application program interface;Application program interface sends service request local user center and carries out service processing, if it is not local user, it is sent to global service center and carries out routing strategy inquiry and redirection to user belonging to off-site user center.

The invention provides a data query method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: carrying out the data crawling of N data sources, and obtaining a library table field, library table query times and data source sampling data corresponding to each data source; constructing a knowledge graph corresponding to each data source according to the library table fields, the library table query times and the data source sampling data; performing semantic alignment on the N knowledge maps to obtain a global business entity view after clustering the library table fields; generating M candidate SQL statements corresponding to the natural language question to be queried according to the global business entity view, wherein M is an integer greater than 1; determining query features corresponding to each candidate SQL statement, and screening out an optimal SQL statement from the M candidate SQL statements according to the query features; and performing data query in the N data sources according to the optimal SQL statement. According to the method and the device, real-time data query under various heterogeneous data sources can be realized, and the query accuracy is high.

The application discloses a kind of layered MQTT message priority scheduling systems of mass terminal, including terminal agent module, it is deployed on mass terminal, for generating metadata for the MQTT message to be published;Edge scheduling gateway, it is deployed on the gateway of terminal and cloud platform, for receiving the MQTT message published by terminal in jurisdiction, and at least one of secondary priority determination and scheduling of message based on metadata, local network state and computing load, and selectively aggregate or cache to low priority message;Cloud collaborative scheduler, with multiple edge scheduling gateway communication connection, for receiving the state summary of each gateway, and according to global business target and resource condition, dynamically issue scheduling strategy parameters to each edge scheduling gateway, so that edge scheduling gateway carries out local scheduling.The application realizes local priority determination and scheduling, ensures to ensure that high priority message is processed first, reduces network bandwidth occupancy and computing resource consumption.

The application discloses a data garbage collection method, device, solid state disk, medium and program product, relates to the storage technical field, and through receiving a first priority calculated by a host based on multi-dimensional information (data value, life cycle, system load, write amplification contribution, etc.), dynamically updating the priority of specific target data in the internal data to be recycled of the SSD, and finally executing recycling according to the updated priority. Breaks the isolation of the host and the SSD in the garbage collection decision, closely combines the global business perspective of the host with the underlying physical operation of the SSD. Achieves the leap of the garbage collection strategy from the rough hot and cold division based on the update frequency to the objective priority ordering based on the multi-dimensional weight, so that the data classification can more accurately reflect the real write amplification contribution and business value, and the write amplification optimization efficiency is improved.

The invention discloses a resource scheduling method and device, equipment and a program product. The method comprises the following steps: acquiring multi-source analysis data of a to-be-scheduled resource in a service system and a preset scheduling target, wherein the scheduling target comprises a global service target and at least two local service targets; and determining a plurality of candidate scheduling strategies for the to-be-scheduled resources. And calling a large model, and based on the multi-source analysis data, evaluating a first type of influence rate of each candidate scheduling strategy for the global business target and a second type of influence rate of each candidate scheduling strategy for each local business target. And by taking the global business target as a constraint and taking the maximization of the comprehensive local value as a target, screening out a target scheduling strategy from the multiple candidate scheduling strategies, the comprehensive local value corresponding to each candidate scheduling strategy being determined based on the first influence rate and the second influence rate corresponding to the candidate scheduling strategy. And executing the target scheduling strategy.

The application discloses a blockchain data chaining method and system based on a message queue, and belongs to the technical field of blockchain data processing, and comprises the following steps: writing a request carrying a global business idempotent identifier and a calling party account identifier into a message queue; performing consistent hash routing based on the account identifier, and scheduling the same account request to a fixed consumption thread; when the thread is initialized or rebalanced, synchronously acquiring a ledger confirmation serial number, a memory pool maximum serial number and a cache high water level, taking the maximum value to rebuild a serial number sliding window, and pre-allocating an incremental serial number for submission and chaining; periodically detecting a suspended transaction queue, identifying a queue head blocking cavity, and sending a placeholder transaction to dredge; and a contract on the chain verifies the business idempotent identifier based on a time epoch hierarchical rolling state mapping tree, and periodically prunes historical states. While introducing a message queue for asynchronous peak clipping, the application can effectively solve the problems of concurrent serial number conflicts, rebalancing stampede, queue head blocking and on-chain state explosion.

The invention relates to the technical field of financial science and technology data processing, and discloses a bank and guarantee institution business data interaction system and method, and the system comprises a data application service platform, a bank core credit system, a bank head office financing platform interface, an external guarantee institution business system, a platform integration interaction control center and a multi-channel communication adaption module. And the server is used for acquiring the original pre-loan data set, converting the original pre-loan data set into a white list admission and guarantee application data set, generating a global business token, maintaining a bidirectional state lock, executing parallel distribution operation to a bank head office and an external guarantee mechanism, and starting an asynchronous process to monitor a feedback state. According to the invention, the two-way state lock is combined with a parallel distribution mechanism, the atomicity judgment of the business state between heterogeneous systems is realized, the compensation transaction execution module is automatically triggered to carry out rollback operation when the states are inconsistent, and the problem of limit occupation caused by low serial interaction efficiency and inconsistent distributed environment data is solved.

The application relates to a data processing method and device, computer equipment, a storage medium and a computer program product, and relates to the technical field of big data. The method comprises the following steps: acquiring a target data table, wherein the target data table comprises a plurality of business processing data of a target time period; performing clustering processing on each business processing data in the target data table according to each clustering index based on a target clustering analysis strategy, to obtain a plurality of clustering results corresponding to each clustering index; determining an association relationship between each clustering result according to each business processing data in each clustering result; determining at least one target clustering result group from each clustering result according to the association relationship between each clustering result, and generating a data analysis result according to each target clustering result group. By using the method, a time node or a behavior node of a risk of a mode in which a single staff member is responsible for global business can be determined.

The invention discloses an enterprise information collaborative management method and system based on multi-source data fusion, and relates to the technical field of collaborative management, and the method comprises the steps: firstly carrying out the full-modal serialization and context reconstruction of a heterogeneous data stream containing orders and work orders, and converting a discrete form into a serialized context with semantic association; then, extracting a business rule as system-level constraint injection, and guiding the large language model to mine a structural relation of cross-domain data under a rule framework; and then, performing logic verification and deterministic alignment on a reasoning result by using a dual-gating threshold, and eliminating semantic ambiguity. Based on this, super node fusion and attribute aggregation are performed on the initial graph, and a collaborative knowledge graph mapping global business logic is constructed. And finally, through graph traversal and sub-graph mode matching, analyzing long link dependence and generating a cooperation instruction. In this way, the entity alignment precision in a complex environment can be effectively improved, and intelligence and automation of enterprise information collaborative management are achieved.

This invention provides a system and method for automatically generating business model reports using artificial intelligence. [Solution] The system includes receiving information about the business model from a user terminal S310, calculating a validity index S320 via a validity evaluation model that utilizes a first neural network based on the information about the business model, the feasibility index includes a plurality of individual indicators, the plurality of individual indicators include a global capability index and a global business attractiveness index, assigning weights S330, assigning a second weight set on a country basis to the global business attractiveness index S340, adjusting the first weight and the second weight based on relationship information between the plurality of individual indicators S350, creating a report using a second neural network based on the information about the business model and the plurality of individual indicators, and transmitting it to the terminal S370.

The embodiment of the present specification provides a structured data construction method, a task processing method and a system, wherein the structured data construction method comprises: determining business logic information and data dependency information according to global business information of a target business; constructing a business operation graph structure according to the business logic information, and constructing a data description graph structure according to the data dependency information; establishing an execution mapping relationship of the business operation graph structure and the data description graph structure, an access mapping relationship of a business data source of the target business and the data description graph structure, and a configuration execution constraint condition for the business operation graph structure, the data description graph structure and the business data source, to obtain a target data structure; and constructing an agent guided structured data corresponding to the target business based on an action executable file corresponding to the target data structure, the business data source and the business operation graph structure.

A routing-policy-based global user compliance access method and an apparatus are provided. The method includes steps of: initiating, by a user, a login request to a unified user gateway if there is a user login behavior; sending, by an authentication unit, an authenticated user request to a local user center for processing, and to the global user center for global query if the user is a non-local user; initiating, by the user, a business request to the unified user gateway if there is a user business operation behavior; routing the request to an application program interface after being passed by the authentication unit; sending, by the application program interface, the business request to the local user center for business processing, and to a global business center for routing policy query and redirecting to the remote user center to which the user belongs if the user is the non-local user.

The invention provides a system and a method for automatically generating a business mode report by using artificial intelligence. According to one embodiment, the method may comprise the steps of: receiving information on a business mode from a user terminal; based on the information of the business model, a feasibility index is calculated through a feasibility evaluation model by using a first neural network, the feasibility index comprises a plurality of individual indexes, and the individual indexes comprise a global ability index and a global business attraction index; distributing a first predetermined weight for the global capability index according to the industry, and distributing a second predetermined weight for the global commercial attraction index according to the country; adjusting the first weight and the second weight based on the relation information among the individual indexes; generating a report of the business model through a report generation model by using a second neural network based on the information of the business model and the individual indexes; and transmitting the business mode report to a user terminal.

The invention relates to the technical field of business data processing, in particular to an administrative institution internal control business visual management method based on artificial intelligence. Performing business risk prediction according to the internal control business plan in the preset time zone, and outputting predicted business risk coefficient distribution; determining an overall business risk index based on the predicted business risk coefficient distribution assessment, and setting a global business approval fine granularity according to the overall business risk index; performing individual business risk assessment in combination with historical business execution records of a plurality of individuals of the business to be executed, obtaining a plurality of individual business risk coefficients, performing optimization adjustment on the global business approval fine granularity, and outputting a plurality of adaptive individual business approval fine granularities; and formulating a plurality of adaptive business approval mechanisms according to the plurality of adaptive individual business approval fine grits, and performing visual management on the internal control businesses of the plurality of individuals in the preset time zone. According to the invention, the risk prevention and control capability, the approval efficiency and the management refinement level of the internal control business are improved.

This application provides a data access method, cloud service system, and device. The method includes: a first database system receiving a first data write request; the first database system writing first data based on the first data write request and obtaining first write progress information for a first region; the first database system sending the first data to a second database system; the first database system obtaining second write progress information for a second region; and the first database system outputting a first response result to the first data write request, the first response result including the first write progress information for the first region and the second write progress information for the second region. For example, the first database system can output the first response result to the client that sent the data write request. This allows the client to obtain the write progress of the first data in different regions based on the response result, thereby facilitating cross-regional data access and enabling global business operations.

The invention relates to the field of data processing, in particular to an e-commerce full-link income collaborative decision-making agent based on security reinforcement learning, which comprises a meta-strategy decision-making center, a commodity pricing agent and an advertisement bidding agent. The meta-policy decision hub generates collaborative decision instructions for coordinating decisions between the merchandise pricing agent and the advertisement bidding agent based on the global market state. Wherein the global market state at least comprises the life cycle stage of the target commodity, and decision execution results fed back by the commodity pricing agent and the advertisement bidding agent respectively. And the commodity pricing agent executes a corresponding pricing decision according to the collaborative decision instruction and feeds back an execution result of the pricing decision to the meta-strategy decision center. And the advertisement bidding agent executes a corresponding bidding decision according to the collaborative decision instruction and feeds back an execution result of the bidding decision to the meta-strategy decision center. The meta-strategy decision center ensures that commodity pricing and advertisement bidding are kept synchronous and coordinated in the aspects of target and resource budget, and global commercial benefits can be improved.

This invention discloses a method, system, device, and medium for dynamic optimization of complex business process paths based on graph neural networks, mainly relating to the field of artificial intelligence technology. The method includes: constructing a global business topology knowledge base; constructing a dynamic local subgraph based on the global business topology knowledge base when anomalies are detected or a new business flow is established; extracting spatiotemporal feature vectors containing trend information from each node in the dynamic local subgraph using a temporal neural network model; inputting each spatiotemporal feature vector into the graph neural network, and outputting an updated target spatiotemporal feature vector through node type embedding and risk sharpening aggregation; generating a preliminary probability distribution of the next-hop node, filtering it based on a predefined business rule mask, and outputting the optimal path orchestration instruction. Through dynamic local perception, risk sharpening aggregation, and business rule embedding, accurate real-time defense path orchestration under millisecond-level high-concurrency attacks is achieved.

The invention discloses a data garbage collection method and device, a solid state disk, a medium and a program product, and relates to the technical field of storage. A first priority calculated by a host based on multi-dimensional information (data value, life cycle, system load, write amplification contribution and the like) is received; the priority of specific target data in the to-be-recycled data in the SSD is dynamically updated, and finally recycling is executed according to the updated priority. Isolation of the host and the SSD in the aspect of garbage collection decision is broken, and the overall business view angle of the host and bottom layer physical operation of the SSD are tightly combined. According to the method, the spanning of the garbage collection strategy from the rough cold and hot division based on the updating frequency to the objective priority ranking based on the multi-dimensional weight is realized, so that the data classification can more accurately reflect the real write amplification contribution and business value, and the write amplification optimization efficiency is improved.

The application provides a data query method and device, electronic equipment and computer readable storage medium, the method comprises: respectively carrying out data crawling on N kinds of data sources, obtaining the library table field, library table query times and data source sampling data corresponding to each kind of data source; constructing the knowledge graph corresponding to each kind of data source according to the library table field, library table query times and data source sampling data; the semantic alignment is carried out to N knowledge graphs, obtains the global business entity view after clustering the library table field;According to the global business entity view, M candidate SQL statements corresponding to the natural language question to be queried are generated, M is an integer greater than 1;Determine the query characteristics corresponding to each candidate SQL statement, and filter out the optimal SQL statement in M candidate SQL statements according to the query characteristics;According to the optimal SQL statement, data query is carried out in N kinds of data sources.The application can realize real-time data query under multiple heterogeneous data sources, and the query accuracy is high.

This invention discloses a business execution method, device, and medium based on group generation and federated learning, applied to a client, comprising: receiving a benchmark dataset, an initialized business execution network, and a generative adversarial network (GAN) from a server; training the business execution network using a local dataset to perform inference on the benchmark dataset, and statistically analyzing the accuracy vector of each label; each group participating in each iteration of the federated learning training process, including training the GAN; inputting Gaussian noise into several randomly selected global adversarial generative models aggregated by the server to obtain a synthetic sample set; wherein, each group is obtained by the server grouping the client based on the accuracy vector composed of threshold truncation and random flipping; training the re-initialized business execution network using the synthetic sample set and the local dataset; and receiving the global business execution network aggregated by the server to execute business tasks.

The invention discloses a graph neural network-based complex business process path dynamic optimization method, system and device, and a medium, and mainly relates to the technical field of artificial intelligence, the method comprises the following steps: constructing a global business topology knowledge base; when it is monitored that the node is abnormal or a new service flow is created, constructing a dynamic local sub-graph based on the global service topology knowledge base; through a time sequence neural network model, node space-time feature vectors containing trend information and corresponding to all nodes in the dynamic local subgraph are extracted; inputting each spatio-temporal feature vector into a graph neural network, and outputting an updated target spatio-temporal feature vector through node type embedding and risk sharpening aggregation; according to the method, the initial probability distribution of a next hop node is generated, filtering is carried out based on a predefined service rule mask, an optimal path arrangement instruction is output, and accurate real-time defense path arrangement under millisecond-level high-concurrency attacks is realized through dynamic local sensing, risk sharpening aggregation and service rule embedding.