475 results about "Event trigger" patented technology

The invention discloses an intelligent simulation system and method based on a power distribution digital system, and relates to the technical field of power distribution network intelligent simulation. The event triggering module is used for constructing a composite triggering condition and obtaining an operation event based on the power distribution network data and the composite triggering condition; the event classification module is used for constructing an event template library and obtaining a target event type based on the running event and the event template library; the event-modeling demand mapping module is used for constructing an association rule base and obtaining a scene structure body and a modeling task package based on the association rule base and the target event type; and the modeling module is used for constructing a simulation model based on the modeling task package and the scene structure body, and obtaining an execution result based on the simulation model, so that the problem that the intelligence degree of event perception and response of the current dynamic modeling system of the power distribution network is insufficient is solved.

The invention relates to the technical field of mechanical arms, in particular to a man-machine interaction system of an intelligent mechanical arm with a body. The system decomposes a long time sequence task into sub-tasks through a large language model, and introduces a task acquisition module, a task queue management module, a task re-planning module and a control execution module, uses visual detection to identify gestures and environment events to trigger temporary tasks, and maintains interruptible marks and safety anchor points based on priorities and interruption risks. And during interruption, the mechanical arm with the timestamp and the environment state are collected, during recovery, the states are compared, local re-planning is carried out, transition sub-tasks are automatically generated for failure sub-tasks, and the mechanical arm is controlled to execute after constraint verification. According to the system, on the premise that the structure consistency, the space consistency and the time consistency are guaranteed, safe interruption and efficient recovery in a long-time-sequence task can be achieved, and the autonomy, the real-time performance and the operation safety of the mechanical arm in a man-machine cooperation scene are remarkably improved.

The invention provides a power grid operation analysis method based on a cloud platform, and relates to the technical field of power grid operation analysis, and the method comprises the steps: configuring a semantic event template library, configuring multi-source power grid operation data access and time reference synchronization, configuring an event triggering rule and an event judgment mechanism, and extracting an event fragment data set, and configuring a semantic abstract vector, executing semantic compression, generating a unique analysis task number, registering a task metadata directory, and setting a task priority and priority queue arrangement. By configuring the semantic event template library and realizing the access and time reference synchronization of the multi-source power grid operation data, the unity and timeliness of the event fragment data set can be ensured in a mass data environment, the problem of analysis errors caused by non-uniform data formats and non-uniform time sequences in the prior art is solved, and the analysis accuracy is improved. Therefore, the reliability of power grid operation state identification and analysis results is improved.

The invention relates to the technical field of network detection, and provides a dynamic event trigger fault detection method under DoS network attack, which comprises the following steps: establishing a linear state space model of a network control system; defining a non-attack interval and an attack interval of system operation, and constraining attack frequency and duration; the observer gain is switched according to the current non-attack interval or attack interval of the system; a dynamic event triggering mechanism is constructed, and the triggering condition depends on the output state and the internal dynamic variable of the full-order switching observer and is used for dynamically adjusting the data transmission frequency; establishing a closed-loop switching system model; and analyzing system index stability according to the closed-loop switching system model, and cooperatively designing observer gain, controller gain and event triggering parameters. According to the invention, through quantification of the DoS attack model, the dynamic event triggering mechanism and collaborative optimization design, the effects of effectively detecting the system fault and improving the utilization rate of the network channel are achieved.

The invention discloses a CAN message priority dynamic arbitration method and system based on event triggering, and the method comprises the steps: obtaining a discrete sampling signal of a CAN node of an engineering vehicle and a state register value of a CAN controller, converting the discrete sampling signal into a working condition data sequence, and obtaining a bus load rate through the state register value; obtaining an event state sequence according to the working condition data sequence; all CAN messages to be sent are constructed into a message data record, and the message data record with event semantics and dynamic priority labels is obtained according to the protocol data unit and the event state sequence; and according to the bus load rate and the event state sequence, sending a message data record with event semantics and dynamic priority annotations by adopting a token bucket mechanism through a three-level priority queue linked with a three-state state machine. According to the invention, the security key message in the system can still be transmitted in time under high load, and the bandwidth occupation and delay jitter caused by the low-priority message are avoided at the same time.

The invention discloses a power load prediction method, and the method comprises the steps: firstly solving an extreme event data sparsity problem through a generative adversarial network, and constructing an event time sequence library through a time sequence anomaly detection algorithm; then analyzing the causal relationship between the event and the load by applying a causal discovery algorithm, and converting prediction output into probability distribution by adopting a Bayesian neural network to quantify uncertainty; constructing a prediction model triggered by an event, and generating a multi-time scale probability prediction interval; and finally, generating a multi-scene prediction result through Monte Carlo simulation, quantifying the system recovery capability in combination with a toughness index, and integrating the system recovery capability to a decision support system to generate a risk response scheme. According to the method, the accuracy and robustness of load prediction under the extreme climate are remarkably improved, full-chain risk insight from early warning to recovery is realized, and prospective decision support is provided for safe operation of a power system.

The invention provides a component freezing recovery method based on a page life cycle interface. In the frame compiling stage, page life cycle event monitoring logic is injected into the component, a freezing and recovering event monitor is automatically registered, a large-data-volume rendering component tree is recognized, a freezing identifier is added, and butt joint of the Vue component tree and a browser freezing event is achieved. When a freezing event is triggered, dependence of a responsive memory for releasing a virtual rolling component in a background label page is ensured by pausing virtual rolling rendering, generating a component state snapshot, creating a rolling position anchor point record, removing non-visual area nodes, retaining placeholder elements and releasing responsive data binding. And after a recovery event is triggered, positioning a rolling position based on anchor point parameters, preferentially reconstructing a visual area component in stages, and recovering the responsive system, so that rolling position zero offset and state zero loss are realized when the page is recovered, and the reconstruction process has no perception delay. According to the method, manual intervention is not needed, and front-end development efficiency and performance optimization are both considered.

The embodiment of the invention provides a chip, a control method and equipment, the chip comprises an event triggering unit and a plurality of peripherals, the event triggering unit is connected with the peripherals, and to-be-executed events of the peripherals have a set execution sequence. The event triggering unit is used for receiving a state synchronization signal sent by the execution peripheral of the previous event, and the state synchronization signal is sent by the execution peripheral of the previous event after the event execution state of the execution peripheral of the previous event meets a preset condition. The event triggering unit is further used for responding to a state synchronization signal sent by the execution peripheral of the previous event and sending an event triggering signal to the execution peripheral of the later event, and the event triggering signal is used for triggering the execution peripheral of the later event to execute the later event. Through the above technical scheme, the event triggering of the peripheral can be realized based on a hardware mode, the processor does not need to participate, the real-time performance is higher, and the resource consumption of the processor is reduced.

The embodiment of the invention discloses a causal relationship tracking method, device and system and electronic equipment. The causal relationship tracking method comprises the steps that an eBPF probe mounted on a specified path of a kernel space detects a first event triggered by a first process, wherein the first event is used for creating a second process; determining whether the first process is a parent process of the second process; under the condition that the first process is not the parent process of the second process, generating a causal relationship identifier of the second process, and establishing a corresponding relationship between the process identifier of the second process and the causal relationship identifier; and under the condition that the first process is the parent process of the second process, obtaining a causal relationship identifier of the first process, and establishing a corresponding relationship between the process identifier of the second process and the causal relationship identifier.

The invention provides a multi-station cooperative control method based on event triggering and look-ahead synchronization. The multi-station cooperative control method comprises the following steps: S1, defining nominal motion parameters for each station; s2, when the physical completion event of the current station is detected, calculating to obtain an accumulated time deviation up to the current station; s3, on the basis of the cumulative time deviation, executing online optimization calculation in a prediction time domain containing a plurality of stations in the future so as to determine an optimal target operation duration used for compensating the cumulative time deviation; and S4, according to the optimal target operation duration, generating and issuing a new motion curve for a first station in the prediction time domain, taking the station as a new current station, and circularly executing the steps S2 to S4. According to the method, the system can actively eliminate tiny time deviation caused by uncertainty factors such as material difference and mechanical wear, and the accumulative effect of errors is avoided.

The invention discloses a distributed spacecraft low-communication attitude fine control method based on event triggering, and aims to solve the problems of high communication frequency, serious resource waste and difficulty in effective compensation of multi-source interference in the prior art. According to the method, a spacecraft attitude deep coupling model is constructed, and the dynamic influence of compound interference such as centroid change and flexible vibration is comprehensively considered; designing an event triggering mechanism based on the control signal variation, and updating a control instruction as required to reduce the communication frequency; and a self-adaptive composite controller is constructed, interference and communication errors are estimated and compensated on line, and the attitude control precision is ensured. According to the method, only 75 times of communication is triggered in 50-second simulation, meanwhile, the attitude tracking error is controlled within 5 * 10 <-3 > rad, and the method has the advantages of being low in communication load, high in control precision, high in anti-interference capacity and the like and is suitable for a distributed spacecraft system with strict requirements for attitude stability and communication resource consumption.

The invention belongs to the technical field of logistics management of the Internet of Things, and provides a logistics data monitoring and management system and method based on the Internet of Things, and the system comprises an event triggering module, a state abstract module, an event aggregation module and a situation early warning module. Setting an edge intelligent node integrated with a lightweight rule engine to judge whether an event judgment rule is triggered or not, if so, packaging an event data packet, if not, generating a state abstract for original state data in a set aggregation time window, and dynamically adjusting the window length of the aggregation time window based on resource quantitative evaluation; the method comprises the following steps: receiving event data packets and state abstracts at a cloud service platform side, respectively storing the event data packets and the state abstracts, setting and adopting an event aggregation analysis engine to analyze and aggregate the event data packets to generate a composite event, constructing and adopting a situation awareness engine, and performing real-time analysis and prediction based on a composite event stream. And generating a logistics situation prediction trajectory and carrying out graded early warning.

The invention provides a monitoring method and system for a high-frequency transaction scene based on an eBPF. The monitoring method comprises the steps that a pre-compiled eBPF byte code program is loaded into a Linux kernel; an eBPF probe is deployed at an event trigger point of each layer of the network protocol stack; establishing a data storage and processing mechanism in a kernel space by using an eBPF Map, acquiring real-time data through a probe, and performing preliminary analysis; further processing is carried out based on the analysis result, and if abnormity is detected, an alarm is given and information is recorded. The technical problem that microsecond-level continuous monitoring and accurate acquisition of abnormal events cannot be realized in high-frequency transactions is solved.

The invention provides a dynamic page component and random ID routing linkage method, system and device and a medium, and belongs to the technical field of front-end development. The method comprises the steps that a JSON file containing a component type, an ID generation rule, routing mapping and operation configuration is received; generating and verifying a unique identifier; loading a corresponding page component; associating the identifier with the component and the route; monitoring an operation event to trigger routing jump and updating a historical record; and when monitoring path change or returning operation, matching a route and rendering a component. According to the method, the dynamic management component and the routing are configured through the JSON, so that the page development coupling is reduced; a unique ID generation and verification mechanism ensures the accuracy of component identification and avoids routing conflicts; the ID is carried when the operation event triggers routing jump, and state association is ensured; and path change monitoring automatically loads the target component and recovers the historical state, so that the operation continuity of the user is improved.

The invention relates to the technical field of property right project management, in particular to a dynamic management system and method for property right project state tags. The method comprises the following steps: a data acquisition and processing unit acquires project data and preprocesses the project data; a state label system construction unit constructs a multi-level state label system by using a property right project full life cycle process based on the preprocessed project data; and the state reasoning and dynamic updating unit is used for identifying the change trend of the project state based on the multi-level state tag system by adopting a level state machine model, generating a state tag set, dynamically updating the tag set when a project business event occurs, and generating a dynamically evolved state tag set. According to the method, a hierarchical state machine model and a link correction mechanism are introduced, a label set is dynamically updated when a service event is triggered, and structure-level compensation is carried out on inference interruption caused by data missing or cross-system inconsistency.

The invention relates to the technical field of intelligent control, and discloses a multi-agent encryption event trigger control method and system, a terminal and a medium, and the multi-agent encryption event trigger control method comprises the steps: constructing lightweight models corresponding to nonlinear multi-agents; state information corresponding to the nonlinear multi-agent is acquired; inputting the first state information into a first model to obtain first trigger element information; respectively encrypting the first state information and the first trigger element information to obtain a first encrypted data packet; and obtaining second control information of a second intelligent agent according to the first encrypted data packet and second state information, so that the second intelligent agent performs cooperative control with the first intelligent agent according to the second control information. According to the application, the communication efficiency of the nonlinear multi-agent can be improved, and the security is enhanced.

The invention relates to a collision detection processing method and device, equipment and a medium. The method comprises the following steps: in response to a collision detection event triggered in a game scene, determining a first time window corresponding to the event based on a first thread; on the basis of a first timestamp corresponding to the first time window, acquiring spatial geometric information corresponding to all colliders contained in a detection range corresponding to the collision detection event; the second thread performs collision detection on each collision body according to the spatial geometric information, and returns a corresponding collision detection result to the first thread; and in response to a trigger event that the first time window reaches the second time stamp, the first thread determines whether collision occurs between the colliders based on the collision detection result. According to the method and the device, the collision detection calculation task is separated to the independent threads to be executed at the first timestamp, and the collision detection result is uniformly processed at the second timestamp, so that the accuracy and the stability of collision judgment logic are ensured while the game running efficiency is remarkably improved.

The invention discloses an intelligent event arrangement triggering and operation link monitoring system for a distributed system, and relates to the technical field of distributed event arrangement. Comprising a link data acquisition and processing module used for acquiring multi-source link data and performing data preprocessing; the event candidate association generation module is used for extracting a trigger event and an execution event, constructing event fingerprint features for association evaluation, and generating a candidate association structure; the causal chain reconstruction module is used for performing path expansion and causal reconstruction, identifying the reliability of causal reconstruction and screening and reconstructing a causal chain; the arrangement trigger control module is used for triggering an arrangement decision, identifying a link signature and realizing repeated suppression and idempotent control; and the link credibility evaluation module is used for carrying out offset judgment, correcting a monitoring caliber and adjusting a threshold value. The problems that under the condition of dynamic topology and identification distortion, event triggering and execution links are difficult to accurately associate, and the cause-and-effect relation is prone to misjudgment, so that arrangement is not accurate, and the monitoring aperture is deviated are solved.

The invention relates to the field of enterprise service management, and discloses an enterprise service management system and method oriented to multiple service scenarios, and the method comprises the steps: carrying out the real-time capturing of an operation event generated by each service module in a distributed storage node, disassembling the event into an operation type, a data influence range and related resources; calculating the dynamic weight of the potential impact of the event on the service chain in combination with the delay, resource competition and synchronization sensitivity of the event on the whole service chain; for the high-risk events and the corresponding nodes, simulating local state changes generated in the distributed storage environment after the events are triggered; key nodes and operation events are integrated, and the event execution sequence and resource allocation are dynamically adjusted in combination with node processing capacity, storage bandwidth and synchronous delay constraint; and performing real-time state correction and operation priority adjustment on the key nodes through the generated coordination strategy. The method has the advantage of keeping the real-time consistency of the service state.

Methods, systems, and devices for wireless communications are described. The method may include a user equipment (UE) may receive a control signal indicating an event trigger for reporting a performance parameter associated with a machine learning model. Further, the UE may receive one or more signals indicating input data for monitoring a performance of the machine learning model by the UE. Upon detecting the event trigger, the UE may transmit a report comprising the performance parameter.

The invention provides a multi-agent collaborative decision-making and disambiguation method and system. The method comprises the following steps of: registering a dependency relationship between a task context and a concerned event triggering condition to the collaboration center, updating a dynamic dependency view through the collaboration center, analyzing knowledge updating time through the collaboration center, and generating a task context identifier set of the intelligent agent; constructing a fact set based on the task context identifier set, and inputting the fact set into a rule inference engine to execute rules in a collaboration rule base to generate a strategy so as to obtain a collaboration strategy; according to the method, the problem of efficiency bottleneck of event routing in the distributed intelligent system is solved from the system architecture level, and the real-time response capability and expansibility of the system in a high-concurrency scene are greatly improved on the premise of ensuring decision consistency.

Systems, methods, and computer readable storage media described herein for detecting cyber-attacks in a logging system. For instance, operation information for an executing operation is received. A log of the executing operation is generated based on the operation information. During generation of the log, a triggering event is detected based on the executing operation. The triggering event corresponds to a potential cyber-attack. A protective action is performed to mitigate the potential cyber-attack. In a further aspect, the executing operation comprises a plurality of sub-operations. A sub-operation subset of the sub-operations is determined to satisfy a risk logging criterion. The determined sub-operation subset is included in the log without including a first sub-operation of the sub-operations that fails to satisfy the risk logging criterion. In another aspect, a watermark is inserted into a downloaded copy of data, the watermark detectable to determine an original source of exfiltrated data.

Disclosed herein is an apparatus and method for automatically generating code based on artificial intelligence (AI) agents. The apparatus includes two or more agents configured to receive and convert a natural language prompt upon an event trigger, input the converted prompt into a large language model, process the output, and return the result to the user. The apparatus further includes a graphical user interface (GUI) in which functions for code generation are defined in the form of tasks. The GUI transfers event triggers to corresponding agents based on tasks selected by the user and displays the returned data. The agents are mapped to tasks and may operate in conjunction with other agents by exchanging events.

The invention discloses a multi-agent consistency tracking control method based on an observer, and belongs to the technical field of multi-agent systems, and the method comprises the steps: constructing a second-order leader following multi-agent dynamic model with external disturbance; determining a network communication topology structure of the multi-agent system; constructing a fixed time tracking error observer; establishing a dynamic event triggering protocol; establishing a consistency tracking control protocol according to the output of the observer and based on a backstepping method; and enabling each multi-agent to communicate according to the communication topology, when a trigger condition is met, the agent sends own state information to a neighbor, the observer updates output information according to the state information, and the controller outputs the output information to the actuator at the same time. According to the invention, the anti-interference capability of the system can be improved, and the consumption of communication resources and energy of the system is reduced.

The invention discloses a visual asynchronous event triggering and calling method based on a medical information system, which comprises the following steps of: asynchronously acquiring multi-source data streams such as clinical events, equipment monitoring, doctor advice execution and patient states in the medical information system to form a multi-source asynchronous medical data stream set; generating a system event triggering association group based on the set and creating an asynchronous event scheduling strategy table; performing system event association degree calculation on the data stream to obtain a multi-dimensional asynchronous event association matrix; and carrying out system asynchronous time delay compensation and event chain visualization processing on the incidence matrix based on the scheduling strategy table, and finally generating a dynamic asynchronous event correlation topological graph. According to the invention, by constructing a system event detection operator set, establishing cross-flow system relevance calculation and establishing a priority-based asynchronous scheduling optimization mechanism, intelligent triggering, calling and early warning functions of medical system events are realized.

Logic may determine user equipment (UE) context information associated with a UE, the UE context information comprising new information related to establishment of a new connection with the UE or related to an update of the UE context information for an existing connection with the UE. Logic may identify an event trigger associated with new information. And logic may respond to a query from the near-RT RIC for UE context information associated with the UE, wherein the UE supports a non-grid of beams mode for beamforming.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products using wireless transmit / receive unit (WTRU) configured for receiving first configuration information indicating at least one target cell; receiving second configuration information indicating at least one measurement event, a first reporting configuration, a second reporting configuration, wherein the first and second configurations are associated with the at least one measurement event; performing at least one measurement from the at least one target cell; determining, based on the at least one measurement, a measurement event; determining, based on a size of an available uplink grant, whether to use the first or second reporting configuration to report the measurement event; and transmitting, using the determined reporting configuration, a measurement report comprising the measurement event and the at least one measurement.

Embodiments of the disclosed technologies are capable of deconstructing a graph using database management approaches. Embodiments describe receiving an event trigger associated with a first node of a graph. The event trigger includes a node identifier of the first node. The embodiments further describe generating a first query for a neighbor identifier associated with a second node of the graph using the node identifier. The neighbor identifier is queried from a first data store. Embodiments further describe generating a second query for a feature corresponding to the neighbor identifier. The feature is queried from a second data store. Embodiments further describe generating an embedding of the event trigger using the node identifier, the neighbor identifier and the feature.

Techniques for real time event triggering for presenting a page via a user interface are disclosed. In an example, a user device receives and presents instructions related to providing a service at a user interface. The user device also receives a rule associated with the service and indicating that feedback data is to be requested when a first condition related to a deviation from the instruction is met. The user device stores user data indicating a second condition to present a page configured to collect the feedback data. Based at least in part on sensor data, the user device determines that the first condition is met. Based at least in part on device data, the user device determines the second condition is met. Accordingly, the user device presents the page in the user interface and receives receiving the feedback data via the page.

The embodiment of the disclosure provides an information processing method, a communication device, a communication system and a storage medium. The information processing method is executed by a terminal and includes: in the case that at least two first events are detected, sending first information, wherein the first information is used for indicating at least a data amount associated with a second event; wherein the second event is determined based on the at least two first events; and the first event is an event of a BSR or an event of a DSR.