113 results about "Event queue" patented technology

The invention provides an agent memory management method and device based on asynchronous processing and a storage medium. The method comprises the following steps: after an interaction event is written into a first storage area, issuing a processing event associated with an event identifier to an event queue, and reading the corresponding interaction event from the first storage area according to the event identifier; when the interaction event passes the importance judgment, converting the interaction event into structured memory data; determining second storage areas based on the type identification field of the structured memory data, and respectively writing the structured memory data into at least one second storage area; and analyzing the query request to obtain a query condition, determining at least one target second storage area based on the query condition, reading structured memory data related to the query request from the target second storage area, performing aggregation processing, and outputting the aggregated memory data to the agent to generate a response result. According to the method, the interaction response delay can be reduced, the model calling cost is reduced, and the memory processing auditing performance is improved.

The invention belongs to the technical field of authority management, and particularly relates to a dynamic authority management system based on an integrated system, which is characterized in that on one hand, dynamic authority portraits of employees are described periodically by integrating multi-system data, and dynamic risk values of real-time operation behaviors of the employees are analyzed based on the latest dynamic authority portraits; on the other hand, through monitoring an organization event queue in real time and analyzing metadata of an event message, an organization event type is identified, a change rule corresponding to the organization event type is matched, an authority synchronization instruction is generated, and transactional operation is started; a behavior risk real-time assessment and event-driven cross-system collaboration mechanism is adopted, automatic and precise dynamic adjustment of the authority is realized, the access control security and management efficiency in an integrated network environment are improved, and in addition, a self-optimization capability based on machine learning is introduced, so that the authority management has the characteristics of continuous learning and evolution.

The invention discloses a supply chain quality collaboration method and system based on a block chain, and relates to the technical field of block chain and supply chain quality management, and the method comprises the steps: collecting quality events according to a batch quality collaboration baseline table, generating a credible collection proof package and a to-be-verified quality event queue, executing dynamic endorsement verification, and writing the dynamic endorsement verification into a quality event account book, outputting a batch state table and an under-chain evidence pointer; performing rapid detection and judgment based on the batch state table and the under-chain evidence pointer, generating a pre-release report and establishing a pre-release mapping table; and triggering a difference correction contract according to the pre-release mapping table, updating the batch state table, generating a collaborative work order, pushing a quality collaborative strategy instruction, and outputting a quality collaborative closed-loop record. According to the method, the risk feedback analysis result table is generated by auditing and evaluating the quality collaborative closed-loop record, the risk layering strategy table is revised, and the batch quality collaborative baseline table is updated, so that the key field constraint is continuously calibrated, and the traceability and consistency of collaborative processing are improved.

The invention provides an advanced memory performance monitoring and anomaly detection method, system and device, and relates to the technical field of memory monitoring, and the method comprises the steps: capturing a current memory operation executed by a monitored kernel and corresponding operation data through a memory delay monitoring module based on a kernel tracking point mechanism, the memory delay alarm module is used for judging whether memory delay alarm is performed for a monitored kernel; under the condition that the judgment result is yes, constructing a memory delay diagnosis event corresponding to the monitored kernel based on the operation data through a diagnosis event generation module; and through a diagnosis event distribution module, the memory delay diagnosis event is added to the to-be-processed diagnosis event queue, so that the memory diagnosis framework processes the memory delay diagnosis event contained in the to-be-processed diagnosis event queue, and a performance monitoring and anomaly detection result corresponding to the monitored kernel is obtained. According to the method, the monitoring fine granularity can be remarkably improved, and the false alarm and missing alarm conditions in the performance monitoring and abnormity monitoring process are reduced.

The invention discloses a lightweight customer service operation backtracking analysis method and system based on an event stream snapshot, and relates to the technical field of backtracking recording, and the method comprises the steps: recording a DOM state of an initial page, traversing a DOM Tree of the whole page, converting the DOM Tree into JSON structure data through nodeType mapping, and generating a first screen DOM snapshot; updating incremental data after first screen snapshot, hijacking incremental change data by monitoring DOM incremental change, and storing the data into JSON structure data; and on the basis of the timestamp, assembling and restoring an event queue of the snapshots after analyzing by querying a screen recording index JSON file, reconstructing the snapshots into a corresponding DOM tree, and reproducing customer service operations covered in the timestamp. According to the invention, the technical design of event stream traceable recording is realized, and a new thought is provided for the application of the traceable recording technology.

The invention discloses a parking space real-time occupation sensing and predicting system, and belongs to the technical field of intelligent traffic. Comprising an event queue establishing module for establishing an event queue; the influence sub-value acquisition module is used for generating a dynamic event influence sub-value; the increase coefficient generation module is used for generating a predictive increase coefficient coupled with the real-time event information; the feedback correction module is used for performing feedback correction; and the result generation module is used for generating a real-time occupancy prediction result. According to the method, the association queue of the event and the city grid is established, the dynamic influence of the event is quantified, the prediction coefficient of the coupling real-time event is generated, the residual error feedback correction model is utilized, and the data is fused to realize the microscopic prediction of the single parking space, so that the effects of accurately sensing and predicting the parking space occupation and improving the prediction adaptability and precision are achieved; the problems that in the prior art, the influence of crowd gathering events is not fully considered, the prediction precision is not high, dynamic correction is lacked, and accurate prediction of a single berth is difficult to achieve are solved.

The invention provides a writing feedback method, system and device for an electronic whiteboard and a storage medium, and the method comprises the steps: collecting original handwriting coordinate data generated by a touch screen when a user writes on the touch screen of the electronic whiteboard, and obtaining corresponding stroke parameters; dynamically selecting a currently applicable target sampling processing strategy based on the stroke parameter; based on a target sampling processing strategy, sampling the original handwriting coordinate data to obtain target handwriting coordinate data; calling the target kernel event queue to transmit the target handwriting coordinate data to a target event processing thread; and calling the target event processing thread to render the target handwriting coordinate data so as to display the handwriting written by the user on the touch screen. According to the application, real-time writing response of the electronic whiteboard can be realized, writing feedback delay of the electronic whiteboard can be reduced, and writing experience of a user can be improved.

The present application relates to a kind of multi-protocol transmission text data monitoring and alarm method and system, method includes: based on dynamic authorization and hardware security check generates multi-source protocol transmission instance, collection and analysis text data;Through multithreading real-time monitoring network connection state, data accumulation and sensor numerical content parameter, generate transmission state and content abnormal event queue;Utilize bayesian network algorithm to learn the causal relationship of network congestion, equipment failure and alarm event, in combination with dynamic weight distribution strategy calculates root cause probability and generates priority-ordered comprehensive alarm list;Based on user feedback data adaptive update protocol weight and alarm strategy, realize abnormal early warning trigger, data snapshot binding and alarm log closed-loop optimization, solve the poor safety adaptability in multi-protocol hybrid transmission scene, monitoring dimension single, root cause analysis relies on static rule and strategy update lag problem, improve the real-time performance, accuracy and adaptability of industrial internet of things data transmission.

The invention relates to the technical field of embedded equipment control, and discloses a multi-event cooperative control method and device for audio equipment, equipment and a storage medium, and the method comprises the steps: constructing a queue structure body of multi-event circulation according to hardware parameters of the audio equipment, and achieving the efficient cooperative processing of events through a classification rule and a time scheduling method. The method has the advantages of effectively managing event queues, reducing high-priority event delay, avoiding equipment downtime and improving user experience and equipment performance.

The invention discloses a customer service event dynamic scheduling method based on time sequence modeling, and the method comprises the following steps: S1, collecting heterogeneous original data, and constructing a service event sequence; s2, inputting the service event sequence into an improved Transform model, and outputting an event semantic feature vector; s3, constructing a multi-scale time window, and generating a time feature vector array; s4, splicing the event semantic feature vector and the time feature vector to generate a joint feature vector; s5, inputting the joint feature vector into an improved decision tree integration algorithm, generating a scheduling priority score value, and recording a decision path and a corresponding feature node index; s6, executing a service event queue operation, and generating a service event scheduling list; and S7, acquiring service event execution feedback information, and updating parameters. According to the method, time sequence modeling, feature scoring and feedback optimization mechanisms are fused, and intelligent recognition, efficient sorting, interpretable scheduling and dynamic evolution of customer service tasks are achieved.

The embodiment of the application discloses a hardware accelerator whole system performance evaluation method and device facing high-level synthesis, which comprises the following steps: constructing a cycle-accurate and event-driven hardware accelerator simulation model based on the intermediate representation and static timing report generated by HLS; executing the hardware accelerator simulation model in the whole system simulator through the accelerator simulation object, so as to convert the timing and operation defined by the hardware accelerator simulation model into simulation events in the event queue of the whole system simulator and schedule and execute; collecting cycle-accurate simulation statistical data generated in the running process of the hardware accelerator simulation model in response to the scheduling and execution of the simulation events; and generating a performance evaluation report and a function verification result of the hardware accelerator based on the simulation statistical data and the function execution result of the hardware accelerator simulation model. The embodiment of the application can efficiently and accurately evaluate the performance of the hardware accelerator generated by HLS, so as to realize true hardware-software co-design and optimization.

Disclosed are a method and apparatus for optimizing server system interrupts, a device and a medium, which relate to the field of servers. The method is applied to a server system, and comprises: when a peripheral driver of a kernel space monitors an interrupt request signal sent by a hardware peripheral, reading a hardware event queue in the hardware peripheral, so as to acquire a target hardware event in the hardware event queue; then, converting the target hardware event into a target software event by using the peripheral driver, and writing the target software event into a preset global event queue; reading the target software event in the global event queue by means of a user space, and forwarding the target software event to a corresponding target service process by means of the user space, such that the target service process processes the target. In this way, by using hardware interrupt coalescing and software event coalescing techniques, this solution may not only reduce the interrupt processing overhead, but also reduce the processor utilization.

A disclosed event notification management method and service for use with a multi-node, hyper-converged infrastructure (HCl) cluster employs a service running on a corresponding node to monitor one or more parameters associated with event notifications sent to a cluster. The service may adjust a node's notification interval based on the monitored parameters. The parameters may include a last event notification successful (LENS) parameter indicating whether a recent notification was successful and a severity parameter determined based on an urgency type of a plurality of pending notifications within an event queue. The service may employ a first formula to decrease the notification interval following a successful previous notification and a second formula to increase the notification interval following an unsuccessful notification. The magnitude by which the notification interval is adjusted may be influenced by the severity parameter, e.g., to aggressively reduce the notification interval following successful notifications when urgency is high.

This application provides a GNSS, 5G, and IMU fusion positioning method and electronic device. The method includes: constructing an event queue based on the reception times of GNSS observation data, 5G observation data, IMU measurement data, and SSR enhancement information; performing timeliness modeling on the SSR enhancement information to obtain SSR correction packets; generating a parameter set based on a preset encoder and a hybrid expert model; performing asynchronous fusion updates according to the time sequence of the event queue, using IMU measurement data to drive state prediction, to obtain a fused state vector and a state covariance matrix; outputting the position state vector in the fused state vector as the fused positioning result; and outputting the sub-block in the state covariance matrix corresponding to the position state vector as the uncertainty of the fused positioning result. This application can solve the problem that existing methods are unable to maintain positioning accuracy, continuity, robustness, and system stability in the long term.

The invention discloses an anti-eavesdropping-based self-defined interval combination password method, which specifically comprises the following steps of: recording a time interval of adjacent keys in a password input process of a user by adopting a sliding window mechanism, and storing the time interval as a rhythm interval sequence; in the password input process, random jitter and rhythm speed scaling are applied to the rhythm interval sequence to generate a disturbed rhythm sequence; constructing a basic camouflage event comprising a camouflage sound source and a volume parameter, and randomly inserting an interference camouflage event into the basic camouflage event; combining the basic camouflage events and the interference camouflage events into an event queue, and performing sorting and anti-congestion adjustment according to a time sequence to form an interruptible camouflage event queue; and based on the camouflage event queue, playing corresponding camouflage sound according to event triggering time so as to carry out acoustic masking on a real key pressing rhythm.

The invention relates to the technical field of computers, in particular to a port transport vehicle scheduling method, system and device, a medium and a product. The method comprises the following steps: generating a corresponding event queue according to transport vehicle parameters, operation point group parameters and ship planned operation data, and processing each event in the event queue in sequence based on a preset time priority strategy and the event type of each event, thereby responding to each event processing operation. And determining the emergency degree value of each transport vehicle and the required number of the transport vehicles. And according to a preset two-stage scheduling strategy, a scheduling distribution scheme of each transport vehicle is generated in combination with the emergency degree value and the required number of transport vehicles, so that the operation point group and the quay crane to which each transport vehicle should be distributed are indicated, and the scheduling efficiency of the port transport vehicles is improved.

The application discloses a memory management method and device, relates to the technical field of heterogeneous computing, and comprises the following steps: obtaining a memory allocation request of a device, and searching for a page-locked memory block corresponding to the memory allocation request to allocate the memory block to the corresponding device; receiving a request for releasing the memory block, identifying a device computing flow associated with the memory block, and recording a synchronization event for each computing flow; storing the recorded synchronization event and metadata of the memory block in a to-be-processed event queue; querying whether an event in the to-be-processed event queue is completed; and when it is queried that a specific event is completed, recycling the corresponding memory block to an idle memory pool, so that the technical problem that in the related art, high-cost memory management function calls are too frequent, performance is low, and it is difficult to cooperate with device asynchronous operation, and data competition and errors are easily caused is solved, and the technical effect that the efficiency of memory allocation and the overall throughput of a system are greatly improved under the premise of ensuring memory safety is achieved.

The application provides an online monitoring device simulation method of power primary equipment, comprising: constructing an online monitoring device model containing an application layer module, the module being composed of a state information acquisition, analysis and transmission submodule, and each submodule realizing data interaction through an event-driven shared memory; during simulation, the state information acquisition submodule analyzes a monitoring data file, stores state data to the shared memory and triggers an event queue 1; the state analysis submodule acquires data according to the event queue 1, generates a state file through an auxiliary diagnosis algorithm and triggers an event queue 2; the state transmission submodule responds to the event queues 1 and 2, converts state data and files into a unified format communication message and transmits the message to a station control layer device model in a server mode. The application adopts a seven-layer network structured simulation model, realizes real-time acquisition, analysis and transmission of device states, solves the response lag problem of a traditional monitoring mode and provides support for performance verification of an online monitoring device.

The present application relates to human-computer interaction display technical field, especially to a kind of full screen keyboard energy consumption management method, collection sight, fingertip and ambient light data and write into event queue;Using silicon photonic interference network and oxide memory resistance array inference obtains gaze position estimation and keystroke hot zone probability, high-dimensional super coding fusion both and combine real-time available power, in the micro-optimizer generation area brightness matrix and power instruction;According to brightness matrix write phase adjustable holographic waveguide drive light-emitting pixel array, and switch refresh frequency and backlight intensity according to power instruction;When mutual information is lower than threshold value and power margin is sufficient, time delay dependent plasticity update is executed, and array is closed when idle or low power, and character is kept by bistable cholesteric liquid crystal.The present application realizes millisecond level brightness self-adaptation and standby near zero power consumption.

The embodiment of the invention provides a flash lamp control method and device, a medium and a program product, and relates to the technical field of control or the technical field of electronic equipment. The method is applied to the electronic equipment and comprises the following steps: collecting multi-scene event data through a service layer; inputting structured feature information in the multi-scene event data into a priority judgment model, performing weighted fusion on event types, time dimension features and user historical behavior features through an attention mechanism of the priority judgment model, performing priority judgment on the scene event data, and generating an event queue containing scene identifiers and priorities; dynamically allocating flash lamp hardware resources through a hardware abstraction layer based on the scene identifier and the priority in the event queue, and generating a lamp effect task queue; and controlling the flash lamp to execute the corresponding lamp effect according to the lamp effect task queue. The method is used for achieving the effects of realizing flexible priority scheduling and improving flash lamp resource scheduling and personalized scene matching accuracy through the priority judgment model.

The invention provides an electric ship fire rescue scheme optimization method and system, and the method comprises the steps: operating an event queue in a discrete event simulation framework based on a rescue strength agent model and a fire environment model, simulating a fire development process and a multi-agent cooperative rescue process, and generating simulation state data in real time; based on the simulation state data, evaluating the comprehensive rescue efficiency of the rescue scheme in a plurality of preset rescue indexes; based on the comprehensive rescue efficiency, generating a rescue control instruction for optimizing a control strategy of at least one rescue strength agent, converting the rescue control instruction into at least one rescue control event, inserting the rescue control event into an event queue for execution, and performing closed-loop optimization on a multi-agent collaborative rescue process, according to the invention, a simulation-evaluation-regulation and control integrated dynamic closed-loop simulation framework is realized, and the scientificity and efficiency of rescue scheme optimization are improved.

A system allows a first endpoint to communicate with a plurality of endpoints in a connectionless network environment by enabling, by the first endpoint, a plurality of authorization keys, a respective endpoint of the plurality of endpoints being associated with a respective authorization key. The first endpoint receives, from a second endpoint of the plurality of endpoints, a first request comprising an action, a remote procedure call, and a first authorization key associated with the second endpoint. The system validates the first authorization key by matching the first authorization key to an enabled authorization key. The system performs the action indicated and, responsive to performing the action, returns the first authorization key to a completion event queue. The system obtains the first authorization key from the completion event queue and transmits, to the second endpoint based on the obtained first authorization key, data associated with the first request.

This invention relates to the field of industrial automation control and communication systems, and provides a PLC library management method based on cloud function-driven architecture. The method includes defining PLC control logic as library module source files, parsing and function-converting them into cloud functions and uploading them to a cloud function library; dragging the target cloud function into the business process or logic diagram, automatically identifying the corresponding function ID and generating a queue of function execution requests to be called; receiving call requests from the queue, determining whether there are existing cloud function instances available for scheduling; if no available instances are found, dynamically instantiating the target cloud function and performing function calculations based on an event queue mechanism; and filtering out a set of functions to be deployed to edge devices based on the calculation results and distributing them to the edge cloud devices. By combining the PLC library management module with cloud function-driven architecture, the basic unit of PLC cloud computing is reduced to a function, providing finer granularity, allowing users to directly deploy function code, and automatically completing tasks such as data redundancy, load balancing, regional redundancy, and log recording.

The invention belongs to the technical field of animation production, and discloses a multi-modal driving character animation automatic generation method and system for virtual reality, and the method comprises the steps: obtaining multi-modal creation information inputted by a developer, and carrying out the analysis of the multi-modal creation information through a context intention analysis mechanism; converting the multi-mode creation information into a creation instruction symbol stream containing a plot rhythm mark, an emotion color mark and an action tendency mark; decomposing a creation instruction symbol stream into different independent event units, and distributing the independent event units to rhythm lattice points on a time axis through plot node mapping and priority drift rules to form an event queue with rhythm sensation; according to the event queue, role actions are generated through master-slave double-track logic, a lens view angle projection mechanism is introduced, expression tension of the role actions is automatically adjusted according to scene changes, and a logic frame sequence with a lens feeling is generated; the time and labor cost are saved, the animation expressive force and immersion are improved, and meanwhile multi-platform applicability and intelligent operation are achieved.

The invention discloses a regulation and control method and device for a test event, electronic equipment and a storage medium, and relates to the technical field of data testing of vehicles, the regulation and control method comprises the steps that regulation and control parameters for performing event interval regulation and control on a test tool are acquired, and the regulation and control parameters comprise a minimum preset interval threshold value and a maximum preset interval threshold value; determining a parameter verification result based on the minimum preset interval threshold value, the maximum preset interval threshold value and a preset parameter verification rule; when it is determined that the parameter verification result is that the regulation and control parameter is valid, determining a dynamic event interval duration corresponding to each test event in the execution queue to be tested based on a minimum preset interval threshold and a maximum preset interval threshold; and determining an execution process of each test event based on the interval duration of each dynamic event. According to the embodiment provided by the invention, the defects of single Monkey event queue time interval adjustment mode and insufficient flexibility in the prior art are reduced, and multiple test scenes of a user can be met.

The invention relates to a data processing method and device, computer equipment, a storage medium and a program product, and the method comprises the steps: converting to-be-processed data generated by a business system into a standardized check event, and uploading the standardized check event to a check event queue; monitoring the checking event queue, searching an associated target checking task according to the standardized checking event, and sending the target checking task to a task delay queue according to the dynamic delay time corresponding to the target checking task; monitoring the task delay queue, querying and processing the data of each check data source according to the configuration information of the target check task, and executing the check script through dynamic compiling to complete multi-source data consistency check; and correcting the check data source according to a data check result and a data correction script in the configuration information of the target check task, and carrying out early warning processing on a data abnormal condition. The invention provides a closed-loop checking system integrating data detection, restoration and early warning, which can quickly realize checking and correction of multi-type source data.

The application discloses a QT event transmission method and device, computer equipment and a storage medium, the method comprises the following steps: adding a to-be-processed event to an event queue by taking a second object as a parameter of an event sending function of a first object; acquiring an event sending signal, and acquiring a target to-be-processed event from the event queue according to the event sending signal; starting a timer according to a delay time length in the target to-be-processed event, and saving a timer ID number of the timer to a to-be-processed event corresponding to the target to-be-processed event in the event queue, so as to update the to-be-processed event in the event queue which saves the timer ID number to a delay processing event; executing a timer event function, acquiring the delay processing event from the event queue according to the timer ID number; and if it is determined that the delay processing event is successfully acquired, processing the delay processing event by using an event processing function. The application can uniformly manage events, specify the time required for event execution to be delayed, and has high running speed.

The invention discloses an online bank customer marketing system based on deep learning, and the system comprises a heterogeneous relation graph construction module which is used for building a heterogeneous relation graph and a dependency relation graph; the asynchronous message transmitting and updating module is used for maintaining a node updating queue and a side event queue; the local graph neural network branch module is used for executing structure aggregation on the intermediate representation and outputting local features; the global Transform branch module is used for outputting a global feature; the dual-scale residual channel reconstruction module is used for generating uniform node representation; the self-adaptive path memory module is used for outputting final node embedding; the text generation module is used for generating marketing content and a recommendation reason text; and the terminal distribution module is used for pushing the client terminal and recording a sending result. The method is suitable for a financial institution to carry out intelligent marketing and customer arrival scenes in the mobile terminal.

The invention provides a MicroROS-oriented lightweight adaptive real-time task scheduling method and system, and the method comprises the steps: building an isolation type double-layer scheduling frame, and distributing a MicroROS event task and a real-time task to different scheduling layers; the real-time task layer adopts a scheduling strategy combining priority preemption and time slice rotation, and the event task layer adopts a non-preemption type collaborative execution strategy; shared resource competition is processed through a dynamic priority improvement mechanism, and when a real-time task applies for a shared resource, the priority of the shared resource is automatically improved to the highest priority of waiting for the resource and safety increment; and dynamically adjusting the CPU time quota of the event task layer, and dynamically optimizing resource allocation based on a self-adaptive time window model according to the real-time task load, the event queue depth and the task execution time. According to the method, an isolated double-layer scheduling framework is adopted, and the cooperative scheduling of a real-time task and a MicroROS communication task under resource constraints is realized in combination with a dynamic priority lifting and self-adaptive time window model.