141 results about "Processing priority" patented technology

A system and method for adaptive real-time multi-modal compression with dynamic resource allocation provides intelligent compression optimization based on continuously monitored device conditions. The system monitors battery level, CPU utilization, and memory availability while classifying incoming multi-modal data streams comprising image, audio, text, and sensor data to determine processing priorities. Multi-objective optimization balances compression efficiency, reconstruction quality, and energy consumption using evolutionary algorithms that generate optimal parameters for an adaptive variational autoencoder. The autoencoder features dynamically selectable processing complexity, adjustable latent space dimensionality, and modality-specific processing layers. The system automatically switches between operational modes including emergency mode triggered by resource constraints, which applies maximum compression settings and intelligent data triage. Continuous learning adapts compression parameters based on observed performance outcomes, improving future optimization decisions. The system enables homomorphic operations on compressed data and provides enhanced compression performance under varying resource constraints across diverse edge computing applications.

The invention relates to the technical field of distributed agent collaboration and graph database query optimization, in particular to a graph query processing method and system based on multi-agent collaboration, and the method comprises the following steps: reasoning a coordination agent to analyze the semantics and intention of user query by using a large language model; a structured multi-agent execution plan is output, and an entity search agent or a relation analysis agent needing to be called is explicitly called; the agent coordinator receives the multi-agent execution plan and selects agents according to task types and task allocation; obtaining a distributed intermediate result set; starting a result aggregation mechanism, and performing typed processing, priority ranking and deduplication merging on the distributed intermediate result set to obtain an arrangement result; and outputting an answer for answering the initial question of the user. The system comprises an agent execution plan output module, a multi-task execution module and an arrangement result reasoning module. According to the method, efficient, extensible and fault-tolerant graph query processing is realized.

The invention discloses a power distribution network fault differentiation operation and maintenance first-aid repair decision recommendation method, system and device based on a knowledge graph and a medium, and belongs to the technical field of operation and maintenance recommendation, and the method comprises the steps: obtaining the real-time monitoring data of a power distribution network, and constructing a fault feature data set; based on the fault feature data set, combining with a power distribution network knowledge graph to identify a historical fault entity; extracting a corresponding operation and maintenance first-aid repair strategy from the historical fault entity, presetting an evaluation index, and calculating a strategy effect score; evaluating a fault processing priority; and sorting the candidate first-aid repair strategies according to the strategy effect score and the fault processing priority, and screening and outputting a target operation and maintenance strategy suitable for the current fault and matters needing attention of the target operation and maintenance strategy. According to the method, the geographic information system is used for positioning the fault, the distance between the fault and the first-aid repair personnel is evaluated, the processing priority is determined in combination with the emergency degree of the fault, resource allocation is effectively optimized, and response efficiency is improved.

The invention provides an integral shopping mall order rolling processing optimization method and system based on big data, and the method comprises the steps: employing a dynamic priority adjustment mechanism for a conflict order list, and adjusting the order processing priority based on the user behavior track data, including historical exchange preference, and obtaining a resource distribution scheme; integrating the order sequence through a queue reordering mechanism, reordering based on the resource allocation scheme to obtain a final processing sequence, preferentially executing the high-priority request, and maintaining the queue stability at the same time; if residual conflicts exist in the final processing sequence, supplementary resources are extracted from a preset standby inventory through a standby resource set scheduling mechanism, a complete execution plan is obtained, and the plan covers all order processing paths; and on the basis of the complete execution plan, monitoring the order processing progress, and obtaining a stable operation order flow through progress tracking and anomaly detection, real-time state feedback and iterative adjustment.

The invention relates to the technical field of automatic operation and maintenance of a power system, in particular to an automatic operation and maintenance method and system for plant-station equipment based on a knowledge graph, and the method comprises the steps: collecting static ledger data, real-time operation data and historical operation and maintenance data of the plant-station equipment, constructing a multi-dimensional association knowledge graph, creating a digital twinborn body for target equipment in a plant station, and carrying out the operation and maintenance of the plant-station equipment. Establishing a bidirectional data channel between the digital twin and a corresponding equipment entity node in the knowledge graph; and based on a state evaluation rule and a fault propagation path model preset in the knowledge graph, performing real-time health state evaluation on the target equipment by using the state evaluation rule and the fault propagation path model to generate a health index, and when an abnormality is monitored, tracing along the topological relation between the electrical connection and the equipment in the knowledge graph, the fault source is positioned, the confidence probability is calculated, risk level evaluation and processing priority ranking are carried out according to the confidence probability, an operation and maintenance diagnosis work order containing an execution time sequence is obtained, and the fault reason can be quickly traced and positioned.

An artificial intelligence priority notification method and a related apparatus. The method comprises: a terminal generating first information, the first information being used to indicate a processing priority of a data unit, wherein the processing priority is used to allocate processing resources to the data unit, and the data unit is used for AI inference and / or training tasks; and, the terminal sending the first information. Hence, in this method, the terminal or a server can mark a processing priority of a data unit for an AI task, so that a network side can allocate processing resources on the basis of the processing priority, thereby improving the utilization of processing resources of the network and alleviating the problem of computing power shortage.

The invention discloses a machining tool management method and system based on a block chain, and the method comprises the following steps: S001, carrying out the precise locking of key time points before and after the sudden change of an order in a cutting process, and generating a time anchor point set; s002, on the basis of the time anchor point set, performing hourly decomposition on the multi-channel sensing signal, extracting temporary order components and conventional business components, and drawing a supply chain loop diagram in a business coupling direction; s003, identifying a high-risk business flow path based on the supply chain loop diagram, and generating a processing priority list at the same time; s004, dynamically adjusting a signal acquisition sequence and a data fusion sequence based on the processing priority list, and carrying out slow change budget distribution on an action threshold value of a service buffer gate; and S005, executing a discrete time slot and discrete period drift arrangement process based on the adaptive dynamic regulation seed, executing reversible time grid rearrangement and carrier gating rotation on each sensing signal channel, and completing stable suppression of temporary order fluctuation backflow.

The invention relates to a message processing method and device of an optical network, communication equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a wireless local area network management and control interface message from optical network master equipment; determining a processing priority corresponding to the wireless local area network management and control interface message according to the message type information of the wireless local area network management and control interface message; distributing the wireless local area network management and control interface message to a message processing queue corresponding to the processing priority; and processing the wireless local area network management and control interface messages in each message processing queue in sequence according to the processing priority sequence corresponding to each message processing queue. By adopting the method, the overall stability of the optical network can be improved.

A communication method and a related apparatus, which relate to the technical field of communications. The method can be applied to a computing node, and comprises: receiving priority indication information of a computing task to be processed, wherein the priority indication information indicates the processing priority of a computing node for the computing task, and the priority indication information is obtained on the basis of at least one of a task requirement of the computing task and subscription data of a terminal device; and on the basis of the priority indication information, scheduling the computing task to a first position of a first queue or a second queue of the computing node, or directly scheduling the computing task to a third queue, wherein the first queue is one of a plurality of different priority queues of the computing node, the second queue is a queue in the computing node that waits to access a coprocessor resource, and the third queue is a queue in a coprocessor in the computing node. The present application can ensure the quality of service for important users or computing tasks requiring a low latency.

The invention relates to the technical field of data processing, and discloses a claim settlement task processing method and device based on edge calculation, and a storage medium, and the scheme collects task evaluation data of a target object according to a target task type, ensures that the collected data is closely related to a claim settlement task, and improves the effectiveness and timeliness of information. And performing data evaluation on the task evaluation data by using the claim settlement evaluation model deployed at the edge node equipment, and generating a task evaluation report, thereby realizing quick response and timely identifying abnormal data. The task evaluation reports uploaded by the edge nodes are subjected to priority calculation through the central processing equipment, the task processing priority is determined, the processing sequence of the claim settlement tasks is reasonably arranged, and the overall claim settlement efficiency is effectively improved. The task processing strategy is determined according to the task processing priority, the claim settlement resource distribution is optimized, the processing efficiency of the financial insurance and medical insurance claim settlement process is improved, and the customer satisfaction is enhanced.

The invention provides an operation data analysis method and system, computer equipment and a storage medium, and belongs to the field of data processing, and the method comprises the steps: obtaining operation data of a plurality of shops; analyzing the operation data of the plurality of shops based on a preset short board index, and determining a short board type of each shop; sorting the plurality of stores according to the types of the short boards to obtain a processing priority sequence; according to the processing priority sequence, sequentially retrieving a strategy corresponding to each shop short board type from a preset knowledge base through an RAG technology; and constructing an operation suggestion of each shop according to the short board type of each shop and the corresponding strategy. According to the method, optimal configuration of analysis resources is realized, the timeliness of operation data analysis is further guaranteed, the generated operation suggestions have individuation and pertinence, and the operation data analysis effect is further guaranteed.

A communication method and a communication apparatus, the communication method comprising: a first agent receiving capability information of a second agent, and, according to the capability information and task description information, determining to send to the second agent related information of first data and configuration information of sensing modules, wherein the capability information comprises a processing function and / or modal information of multi-modal data that the second agent supports for processing, the related information of the first data comprises the content of the first data, modal information of the first data, and processing priority information of the first data, and the configuration information of the sensing modules comprises identification information of the sensing modules and / or a first key. The method uses the interaction between the first agent and the second agent to enable the first agent to be capable of analyzing multi-modal data on the basis of the task description information and the capability information of the second agent, and indicating to the second agent the related information of multi-modal data to be processed and the configuration information of the sensing modules, thereby achieving multi-modal data processing by agents, and improving network intelligence.

The invention discloses an intelligent control method for collaborative operation of a concrete leveling robot, and the method comprises the steps: obtaining the position state updating data of multiple devices according to an initial operation region division result, carrying out the dynamic distribution of tasks in combination with the workload and mobility of each device, and determining the responsible region and operation sequence of each device; according to the operation rhythm control parameters, operation area boundary data between adjacent devices are obtained, the elevation deviation between adjacent areas is analyzed according to the boundary elevation connection requirement, and the boundary processing priority and the adjustment scheme are determined; according to the boundary processing priority, obtaining operation progress difference data between the devices, and if the progress of a certain device is lagged, dynamically updating a task allocation strategy through data interaction frequency adjustment to obtain an optimized device operation path; and according to the updated region boundary data, obtaining the latest state information of multi-device cooperation, aiming at a region seamless connection target, adjusting the operation rhythm between the devices, and determining a final elevation consistency control parameter.

The invention relates to a domain tool calling conflict-oriented large model cue word optimization method and system, and belongs to the technical field of artificial intelligence and natural language processing. The method comprises the following steps: performing semantic analysis on a natural language instruction of a user to generate a structured semantic representation, and performing conflict diagnosis from different dimensions based on the structured semantic representation to obtain structured conflict diagnosis information; determining a processing priority and a to-be-executed coordination strategy according to the conflict diagnosis information, and generating an optimized cue word structure set according to the coordination strategy; and finally, inputting the optimized cue word structure set into a tool calling interface, constructing and executing a standardized calling request containing a target tool identifier, parameter filling content and an operation sequence, and carrying out tool calling according to the standardized calling request. According to the method, the problem of prompt word conflict in multi-tool calling is effectively relieved, and the calling accuracy and the scheduling stability of the system in a complex task scene are improved.

The invention provides a vulnerability processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining original environment state data of a target application; generating a plurality of target attack actions based on the original environment state data, and sequentially sending the plurality of target attack actions to the target application; collecting actual environment state data corresponding to the target application after the target application receives each target attack action; identifying an instant reward score and a vulnerability type corresponding to each target attack action through the actual environment state data; grouping the instant reward values based on the vulnerability types, and determining long-term return values of different vulnerability types for the instant reward values of each group; and the processing priorities of different vulnerability types are determined through the long-term return values, so that the recognition capability of zero-day vulnerabilities and unknown attack variation vulnerabilities is improved.

To provide methods for determining processing order of metadata messaging, such as supplemental enhancement information (SEI) messaging in MPEG video coding.SOLUTION: A processor receives input SEI messages defining supplemental processing to be applied to decoded video pictures of an input video bitstream, parses the input SEI messages to identify and detect a processing order SEI (PO SEI) message defining a preferred processing order of selected input SEI messages, extracts information determining a total number of the selected input SEI messages with a priority processing order, and extracts identification information and priority information for each of the selected input SEI messages. The priority information includes an integer value determining a process in the preferred processing order. When the priority information of a SEI message m is smaller than the priority information of a SEI message n, the SEI message m is processed before the SEI message n.SELECTED DRAWING: Figure 2

Embodiments of the application disclose a dynamic route management method, device and equipment and a storage medium, wherein the method comprises: in response to receiving an access request of a user, obtaining an interface request log recorded by a gateway; wherein the interface request log is used to represent request operation information of the user on all resources in the application system; the request operation information is a standard HTTP request method; determining a key resource in the application system within a preset time period; the processing priority of the key resource is higher than that of other resources in the application system; dynamically managing route information in the gateway according to a preset management strategy; the gateway at least includes dynamic route information generated for providing access to the key resource. Thus, the access speed to the key resource is accelerated, and the problem of service unavailability caused by the collapse of downstream microservices is reduced.

The invention provides a service processing method and device and electronic equipment, and relates to the technical field of computer networks. The method comprises the following steps: when a system is in a first state and a service request is received, determining the level of the service request; processing the service request according to a first processing strategy corresponding to the grade of the service request based on a token; wherein the first processing strategy is a strategy corresponding to the grade of the service request in a plurality of processing strategies, and the plurality of processing strategies comprise different processing priorities of the service request. In the embodiment of the invention, the system can carry out differentiated scheduling on the service requests with different priorities, so that the requests with high priorities are processed in time, and the situation that the system performance is seriously reduced and even collapsed is reduced.

The embodiment of the invention discloses a communication network fault processing method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a working state of each communication network element in a communication network in a target time period, and determining a fault network element in each communication network element based on the working state of each communication network element; under the condition that the number of the fault network elements is multiple, for each current fault network element, determining a fault coupling degree between the current fault network element and a reference fault network element, and based on the fault coupling degree, determining a scoring result that the current fault network element is a fault root cause; and determining the processing priority of the current fault network element based on the scoring result, sorting the processing sequence of the current fault network element based on the fault priority, and obtaining the target fault processing sequence of the communication network, thereby ensuring that key faults are firstly processed, improving the fault processing efficiency, reducing the influence of the faults on the stable operation of the communication network, and improving the reliability of the communication network. And the communication experience is improved.

The invention discloses a hybrid processing method based on concurrent service acceptance, and relates to the field of computer task processing, and the method comprises the steps: receiving a hybrid service handling request, carrying out verification according to preset protocol configuration information, and carrying out the grouping forwarding of the hybrid service handling request according to a service type; the protocol configuration information is realized by adopting a tree-shaped data structure; each type of business analyzed from the mixed business handling request information is separated, an original corresponding sub-business verification process is called for verification and unified fee calculation, sub-orders of each business type are generated, and processing priorities of the sub-orders are calculated according to the business types and business relations; and submitting the mixed service sub-orders according to the priority sequence. According to the method, the system processing time is shortened through highly concentrated service verification and fee calculation, the processing efficiency is improved, the mixed service sub-order processing sequence is adjusted according to the priority, and flow control of processing each service by multiple services is accepted at the same time.

Embodiments of the invention provide a response text generation method and apparatus, and a computing device. The method comprises the steps of determining a first text block and a second text block in a plurality of text blocks of a preset knowledge base based on a request text; wherein the processing priority corresponding to the first text block is higher than that of the second text block; obtaining a first enhancement request according to the first text block and the request text; generating and outputting a first response text based on the first enhancement request; obtaining a second enhancement request according to the second text block, the request text and the first response text; and generating and outputting a second response text based on the second enhancement request. According to the embodiment of the invention, through a two-stage mode, the first response text is firstly generated and output, and then the second response text is generated and output, so that the problems of slow response and long-time waiting of a user caused by too long time consumption of response text generation in an existing method can be solved through the quickly output first response text, and the user experience is improved. Therefore, the user experience can be improved.

The invention discloses an intelligent contract-based medical and invasive resource data calling management system and method, and relates to the technical field of data processing, and the system comprises a request uploading module, a block chain platform, a request analysis module, a data calling module and a data monitoring module. The request uploading module is used for a user to edit and upload a data calling request to the block chain platform; after receiving the data calling request, the block chain platform analyzes the content of the data calling request and performs optimal value analysis on the received data calling request by using a request analysis module to generate a processing priority table of the data calling request; the block chain platform is used for sequentially executing the corresponding data calling requests according to the processing priority table, so that the data calling efficiency is improved; and the data monitoring module is used for carrying out calling monitoring on the medical and invasive resource data of each enterprise, calculating to obtain the calling popularity of the medical and invasive resource data, and judging whether the medical and invasive resource data needs to be updated or not, so that the application value of the medical and invasive resource data is improved.

The application provides a construction dynamic twin method based on Internet of Things and BIM, relates to the technical field of digital twin, and comprises the following steps: acquiring heterogeneous data streams collected by sensors and performing analysis and classification on the data streams to generate a standardized data set; performing semantic mapping on the standardized data set according to the association rules of BIM component identification and data attributes to generate a component associated data set; decrypting and decompressing encrypted data packets in the cloud, analyzing construction progress time sequence data by using a distributed computing framework, and generating a deviation detection result; dynamically adjusting the routing rules of the data link according to the deviation detection result, reassigning the processing priority to optimize the link configuration; updating the BIM component state based on the optimized link configuration, generating a real-time updated digital twin model by using cloud computing resources; and extracting three-dimensional visualization data from the digital twin model and mapping the three-dimensional visualization data to the BIM model interface by using a rendering technology, so that the monitoring precision and management efficiency of the construction process are effectively improved.

The invention relates to the technical field of industrial product e-commerce supply chain management, in particular to a Java-based industrial product supply order logistics data processing method and system, and the method comprises the following steps: S1, obtaining industrial product supply order logistics data packets from multiple suppliers; s2, based on an initial processing intention, injecting the logistics data packet into a pre-configured corresponding data flow pipeline; s3, in the data flow pipeline, the logistics data packet is driven to flow through at least one processing node in sequence, the current processing node executes a corresponding data processing action based on a processing intention carried by the logistics data packet, and after execution is completed, the content of the logistics data packet is updated based on a processing result, and a next processing intention is determined; according to the processing priority identification and the priority distinguishing mechanism, processing resources of high-priority services can be guaranteed preferentially, and it is ensured that when the load is high, the processing efficiency and response time of key services are met.

The invention provides an abnormal transaction processing method and device, equipment, a medium and a product, and relates to the field of big data and artificial intelligence. According to the method, an abnormal transaction alarm is obtained through a task queue management module, an abnormal transaction item corresponding to the abnormal transaction alarm is generated, and the abnormal transaction item is used for indicating transaction information corresponding to the abnormal transaction alarm; and then a processing priority corresponding to the abnormal transaction item is determined, a target RPA robot for processing the abnormal transaction item is determined based on the processing priority, and the target RPA robot is one RPA robot in the RPA robot cluster. And the target RPA robot monitors the abnormal transaction item according to the processing priority. According to the method, automation, intellectualization and high efficiency of abnormal transaction processing are realized, the processing efficiency and accuracy are greatly improved, the transaction risk is effectively reduced, the transaction safety and stability are ensured, and a reliable transaction environment is created for a user.

This invention relates to the field of order processing technology and discloses a method, apparatus, device, and storage medium for processing member orders. The method includes: collecting member information from multiple platforms and constructing a member graph structure to extract node features, obtaining multi-dimensional member feature vectors; fusing the multi-dimensional member feature vectors and order data to be processed to obtain a member-order fusion feature vector; classifying orders to obtain classification results and processing priorities; performing multi-platform collaborative integer programming and solving to obtain a cross-platform order allocation scheme; evaluating member value to obtain dynamic member value scores and hierarchical classification information; and inputting the dynamic member value scores and hierarchical classification information into a dynamic rights allocation model based on a deep Q-network to optimize the rights allocation strategy, obtaining a personalized member rights combination. This method can comprehensively utilize multi-platform data to achieve intelligent order processing and dynamic rights allocation.

The invention relates to the field of social governance and public service, in particular to a livelihood appeal event intelligent allocation method and system based on artificial intelligence. The method comprises the following steps: collecting data from a multi-source channel to generate an initial event data set, and carrying out weighted fusion on the data to obtain an event exposure score value; if the score value exceeds a threshold value, de-duplicating and standardizing the data to form a structured feature data set; determining an event sensitivity level and adjusting a score value by analyzing the data set; determining a processing priority and a resource allocation proportion according to the adjusted scoring result, and generating a preliminary allocation scheme; and further dynamically adjusting the resource allocation proportion to be matched with the event influence radius, finally generating a task list containing resource conflict detection, and pushing the task list to a base system for execution according to the priority. According to the method, the livelihood appeal event processing efficiency can be improved.

The invention discloses a multi-modal fusion intelligent information integration communication management method and system, and relates to the field of communication management, and the method comprises the following operation steps: S1, multi-modal information collection and edge network access; s2, edge side preprocessing and priority judgment; s3, end-side cloud dynamic collaborative scheduling is carried out; s4, carrying out multi-modal cross-domain integration and transmission; s5, cloud side fusion and communication quality optimization; and S6, integrated result feedback and closed-loop optimization are carried out. According to the multi-modal fusion intelligent information integration communication management method and system, through a multi-dimensional coupling priority judgment mode, the limitation of single index judgment in the prior art is broken through, comprehensive decision making can be carried out by combining the modal real-time requirement, the edge node resource adaptation degree and the data volume characteristic, and the reliability of information integration communication management is improved. Processing priorities and resource supply states of different modes can be accurately matched, and communication efficiency loss caused by resource mismatching is avoided.

The application discloses a kind of multi-live room's linkage information monitoring processing method and system, it is related to the linkage monitoring technical field of multi-live room, including: unified identification and linkage relationship modeling to multiple live rooms, generate live room linkage topological structure;And the real-time data stream of each live room is multidimensional split, corresponding data sub-flow is generated;Lightweight processing pipeline is constructed to each data sub-flow, and stage-level asynchronous execution mechanism is introduced inside the pipeline, form asynchronous pending data state;According to asynchronous pending data state, real-time linkage event aggregation is carried out, and abnormal linkage mode is identified;According to abnormal linkage mode, corresponding risk level is generated, and the processing priority of data sub-flow is adjusted according to risk level;The application solves the problem that multi-live room concurrent data processing lags behind, real-time monitoring and intervention ability is insufficient.