72 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 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 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 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.

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 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 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.

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 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.

The embodiment of the invention provides an equipment fault processing method, a host, a computer program product and a storage medium. The operating system of the target host can run an error report driving program after receiving an interrupt signal sent by any root interface and used for triggering an error report mechanism; based on an error report driving program, obtaining an address translation exception record from an event queue maintained by a memory management unit; if the address translation exception record points to any virtual device connected to the root interface, calling a kernel mode drive program corresponding to the virtual device through an error report drive program; and controlling the target virtual machine served by the virtual equipment to be paused based on the kernel mode driving program. Therefore, when a single virtual device has a fault, the fault domain can be accurately controlled on the virtual machine served by the faulted virtual device, so that only the virtual machine served by the faulted virtual device is suspended, and the influence on other virtual machines running on the target host can be effectively avoided.

A method includes receiving, from a source from a plurality of sources, data associated with an event at the source. The data includes an event timestamp and an event data-frame. The method includes defining a standardized event based on the event by parsing the data to map predefined data fields within the event data-frame based on predefined standardization rules, calculating a representative identifier for the event by providing a representation of the standardized event as an input to a predefined function, defining an identifier for the event based on the representative identifier, calculating a distance of the identifier to an identifier associated with each event cohort from a plurality of event cohorts, assigning the event to an event cohort from the plurality of event cohorts based on the distance meeting a criterion of that cohort, and identifying an anomalous event based on the distance exceeding a predetermined threshold.

The invention discloses a communication processing method of equipment and a storage medium. The communication processing method of the equipment comprises the following steps: establishing a main event loop and an event queue, establishing a communication task for data to be sent by a main controller, and storing the communication task in a task queue according to a task priority; the communication tasks are taken out regularly, asynchronous requests are sent, the taken-out communication tasks are stored in an in-transit task set, and meanwhile an asynchronous timer is started; after an asynchronous request of each communication task is initiated, returning to a main event cycle without waiting for a response result so as to continue to process other events; when other parts send response data, a communication receiving event is generated, and the main event circularly adds a target response into a response set; and when the overtime expiration event or the communication receiving event is triggered, matching the communication task with the response data, if the matching is successful, judging that the communication task is successful, and if the matching is failed, reinserting the communication task into the task queue. The communication process is processed in an event triggering mode, and blocking can be avoided.

This specification provides a control system for a rehabilitation device that uses EEG signal emotion recognition. By setting a synchronization module, the image acquisition module and the EEG signal module synchronously acquire and record the data over time. The data is then identified, timestamped, and transmitted to a queue. The emotion queue is monitored, and when a target emotion is detected, its timestamp is determined. The system searches the event queue for target event information containing the timestamp. Based on the timestamps of subsequent events in the event queue, the duration of the target event is monitored, and control commands are generated according to the duration and a preset control strategy to control the movement device in the rehabilitation device to perform the corresponding action. The synchronized timestamps avoid processing time differences between different modalities, and by combining environmental images and EEG signal recognition to identify events that trigger the target emotion, the accuracy of identifying sensitive scenes is improved.

The invention discloses a single-thread event processing distribution method supporting exponential backoff. The method comprises the following steps: S1, registering a loop event to a loop event queue by calling a registration interface, and registering a random event-random event processing function mapping relation to a random event-random event processing function mapping table; s2, after event processing circulation is started, the event queue is circulated firstly, and then events in the queue are sequentially processed according to the event sequence in the random event queue. The method has the advantages that the events are divided into the circular events and the random events, classification registration is carried out, after event processing circulation is started, the events in the queues are processed in sequence according to the sequence of the circular event queue and the random event queue, and a retry strategy is optimized by introducing a back-off index.

The application discloses a neuromorphic processor supporting asynchronous event driving, comprising: an event dispatcher, configured to receive events and send the events to a neuromorphic processing core or an event queue according to a current time step state; the event dispatcher is configured to ensure the correctness of the event processing sequence through time step conflict detection and a timestamp-based scheduling strategy; the event queue is configured to cache non-current time step events or events that cannot be processed immediately; the neuromorphic processing core is configured to execute an event processing program based on a neuromorphic instruction set architecture; the neuromorphic instruction set comprises a BRE instruction, configured to dynamically jump to a corresponding processing program according to an event type, and realize low-power mode switching in cooperation with a clock gating module; the processor executes the BRE instruction after the event processing is completed, enters a sleep state, and suspends a clock signal through the clock gating until a new event arrives. The application has the advantages of good compatibility, good adaptability, low power consumption and the like.

The application provides a behavior control method and device; the method comprises the following steps: determining a current behavior state of a virtual object and a state transition matrix of the virtual object in a current time period; determining a first state transition probability distribution corresponding to the current behavior state from the state transition matrix; in response to the first state transition probability distribution, transferring the behavior state of the virtual object from the current behavior state to a first target behavior state in a behavior state set, generating a first behavior event queue based on a Poisson rate corresponding to the first target behavior state; and controlling the virtual object to execute behavior events in the first behavior event queue in sequence. Through the application, accurate control of the behavior of the virtual object can be realized, thereby improving the fidelity of the behavior of the virtual object.

The task processing method is applied to the operation and maintenance platform, the operation and maintenance platform comprises an event queue and a task executor, and the task processing method comprises the steps that the event queue receives at least one operation and maintenance task of an application, task events corresponding to the at least one operation and maintenance task are added into the event queue, and the task executor takes out a first task event from the event queue, calling a first execution unit in the execution unit resource pool, executing the first sub-task, issuing the operation of the first sub-task on the resource to the resource, releasing the first execution unit, receiving a first resource event sent by the resource by the event queue, and executing the first resource event by the task executor according to the state of the resource described by the first resource event. And determining the next task or the next subtask to be processed, and executing the next task or the next subtask. According to the method, events are taken as the center, states of operation and maintenance tasks, subtasks and resources are taken as events for processing, and tasks are processed from smaller granularity. Moreover, the execution unit is not blocked by the waiting state of the operation and maintenance task, and the resource utilization rate is improved.

This disclosure provides a task scheduling method, a task scheduling device, and an automatic coding system, relating to the field of computer technology, and particularly to the field of artificial intelligence technology. The method includes: retrieving a target event from at least one type of event queue using a distributed lock mechanism, wherein the target event is retrieved by one of multiple scheduler instances; determining a subtask of the code development task corresponding to the target event; selecting an executor instance from multiple executor instances, and assigning the subtask corresponding to the target event to the selected executor instance. This scheme improves the efficiency and reliability of the automatic coding system.

Provided is an event queue to implement an improved approach to coordinate the intake of work items that are received and operated upon by entities to maintain an inverted index. An improved approach is provided to implement maintenance of inverted indexes, where asynchronous maintenance is performed in a very efficient and highly scalable manner. Also disclosed is an improved approach to coordinate DML and DDL operations between maintenance processing entities and user processing entities.

The application discloses a kind of efficient solution of rural full life cycle carbon management, to solve the problems such as rural carbon source dispersion, monitoring is difficult, accounting precision is low and system adaptability is poor, suitable for the whole process carbon management of administrative village level, first of all, this method is deployed in key carbon source point Embedded device, capture carbon activity signal and build event sequence library containing event type, intensity and time stamp;Then, the event priority weight is calculated by assignment algorithm, and the event queue with priority label is generated, to distinguish between immediate and delayed processing events;Again, different priority events are compressed differently based on compression protocol, combined with differential encoding and adjusted compression rate according to network conditions, to generate compressed data packets;Then, the accounting simulator is issued to the edge device by the cloud;The application realizes accurate monitoring of rural carbon source, efficient transmission and accurate accounting, improves the timeliness and adaptability of carbon management, and provides scientific support for carbon emission reduction strategy.