183 results about "Event queue" patented technology

The invention relates to a multi-protocol transmission text data monitoring and warning method and system, and the method comprises the steps: generating a multi-source protocol transmission instance based on dynamic authorization and hardware security verification, and collecting and analyzing text data; a network connection state, a data backlog amount and sensor numerical value content parameters are monitored in real time through multiple threads, and a transmission state and content exception event queue is generated; learning a causal relationship among network congestion, equipment faults and alarm events by using a Bayesian network algorithm, calculating a root cause probability in combination with a dynamic weight distribution strategy, and generating a comprehensive alarm list of priority ranking; on the basis of user feedback data, protocol weights and alarm strategies are adaptively updated, abnormal early warning triggering, data snapshot binding and closed-loop optimization of alarm logs are achieved, and the problems that in a multi-protocol mixed transmission scene, safety adaptability is poor, the monitoring dimension is single, root cause analysis depends on static rules, and strategy updating lags are solved. And the real-time performance, the accuracy and the self-adaptability of data transmission of the industrial Internet of Things are improved.

The invention discloses a rendering method and system for generating a monitoring event queue of an air conditioner host. The method comprises the steps of obtaining operation data and monitoring data of air conditioner equipment, constructing an equipment connection diagram, extracting spatio-temporal characteristic data and constructing a comprehensive data model. Constructing a multi-level event processing queue, and generating an event scheduling strategy scheme; constructing a dependency graph of the rendering process, and generating a resource allocation scheme; constructing a rendering strategy scheme in combination with pre-stored historical rendering data, and generating a time series data set; generating a version chain table in combination with the historical data version information; performing data consistency check, and outputting a synchronous rendering data set; executing the rendering task sequence to obtain a rendering result; meanwhile, the execution state of the rendering process is monitored, and a rendering execution report and a rendering state report are generated. According to the method, the average response time of the system is prolonged, the accuracy of data processing is guaranteed, the stability of the system is improved, and powerful technical support is provided for stable operation of the air conditioner host monitoring system.

A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.

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.

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.

One or more embodiments of the invention provide a distributed agent system, a request processing method, equipment and a storage medium. The distributed agent system comprises an agent scheduler, an event queue, a database and a plurality of agent actuators. And the agent scheduler creates a running instance according to the processing request, stores the running instance in an execution state into a database, and sends a starting event to an event queue. The multiple agent actuators monitor the event queue at the same time, and the same event is acquired by only one agent actuator. After obtaining the initial event or the intermediate event, the agent executor executes a corresponding predefined execution process, generates the intermediate event or an end event carrying an execution result, and returns the intermediate event or the end event to the event queue; after the ending event is obtained, the state of the running instance in the database is updated to be ending, and an execution result is stored. And if the agent scheduler monitors that the operation instance is in an end state from the database, obtaining an execution result from the database and outputting the execution result.

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 discloses a congestion control simulation system, a congestion control method and electronic equipment, and the system comprises a receiving module which is used for receiving a service data packet transmitted by a transmitting module, generating a congestion notification signal after detecting network congestion, and transmitting the congestion notification signal to the transmitting module; the sending module is used for generating congestion control event information according to the congestion notification signal, writing the congestion control event information into a congestion control event queue, and performing congestion control response on the congestion control event information in the congestion control event queue based on a programmable congestion control algorithm in a code warehouse of the sending module, and the sending rate of the sending module is adjusted.

The invention relates to the technical field of computer software application, in particular to an event processing method and device based on a staged event-driven architecture, equipment and a medium. The method comprises the steps that a staged event-driven architecture is adopted, a plurality of modules are divided according to application service logic and are in sequence, each stage is provided with an independent thread pool to process a corresponding task, whether the length of an event queue exceeds a limit value or not is monitored in the event processing process of the modules, and after it is found that the length exceeds the limit value, the event queue is started; and immediately triggering a load regulation mechanism to carry out load regulation and control, and if the length of the event queue is continuously increased and exceeds a length threshold value of the event queue corresponding to the target module, discarding events of which the priorities are lower than a preset priority threshold value in the event queue. The SEDA architecture is utilized to ensure the stability of the system under the condition of high concurrency through a multi-level load regulation mechanism, and the event processing efficiency can be improved to a certain extent.

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.

Vehicle systems and methods are provided for updating vehicle systems in response to an update event at one of the vehicle systems, such as, for example, an update at a flight management system (FMS) of an aircraft. One method involves the FMS obtaining event data from an external source indicative of an update event, updating flight data at the FMS to an updated state based at least in part on the event data, and then adding the event data to an event queue after updating the flight data at the FMS to the updated state. One or more other vehicle systems can asynchronously retrieve the event data from the event queue and independently update in response to the event data.

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 present disclosure provides an event processing method, device, electronic device and computer-readable storage medium, the method comprising: obtaining the discrete events to be processed of each processing unit in the chip system, wherein each discrete event to be processed carries a timestamp; storing the discrete events to be processed of different event processing clusters into the event queues of the corresponding event processing clusters, wherein one event processing cluster corresponds to one event queue; using different sub-threads to process each event queue in parallel, wherein the discrete events to be processed are read from the event queue to the sub-thread according to the timestamp, and the sub-thread is used to execute the discrete events to be processed. Through the above technical solution, it can be avoided that when processing discrete events, all events can only be processed serially in a single thread, resulting in low processing efficiency.

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 present application provides a charging control method and system for a charging pile, an electronic device, and a storage medium, belonging to the field of charging control technology, including: parsing a first trigger instruction to obtain a target charging event; if the charging pile corresponding to the target charging event is a private charging pile, triggering a user authentication step; determining charging parameters based on the target charging event, and controlling charging pile resources based on the charging parameters; if the charging pile corresponding to the target charging event is a public charging pile, determining the target charging parameters based on the event priority corresponding to the target charging event; and updating the event queue of the charging pile based on the target charging parameters to obtain a target event queue. The present application can flexibly adapt to various charging scenarios of charging piles, such as private and public. The present application supports scenario changes, improves charging efficiency, and meets the needs of diverse scenarios.

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 provides a native AI-based intelligent power distribution terminal, a construction method and a power distribution network system, and relates to the technical field of power systems, comprising: a native AI computing and control unit, integrating at least one general CPU core and at least one AI computing core sharing memory with the general CPU core; a multi-source sensing module for writing collected monitoring data in the form of tensors or vectors into a shared multi-dimensional data pool; the general CPU core is used for deploying different microservices, calling determined target microservices in calling order, and the native AI computing and control unit is used for responding to inference requests, inferring target monitoring data through a target model, and writing inference results into a decision event queue; the general CPU core is also used for generating control instructions according to the decision event queue to control the deterministic control and execution module to execute corresponding control actions. The application effectively improves the AI task processing efficiency of the power distribution terminal.

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.

A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.