247 results about "Event pair" patented technology

A computer-implemented method executed using one or more processors of an incident management system, the computer-implemented method comprising accessing one or more data sets of information associated with an incident event corresponding to an incident associated with a computer system; generating a prompt based on the one or more data sets of information, wherein generating the prompt comprises generating a plurality of sub-prompts to be provided to a machine-learning model for generating a report of the incident event in accordance with a predetermined criteria; inputting the prompt into a machine-learning model that has been trained to generate a report of the incident event based on the prompt; outputting, by the machine-learning model, the report of the incident event, wherein the report comprises an analysis of the incident event; transmitting the report to one or more computing devices associated with the computer system.

The invention discloses a building construction quality on-line monitoring system based on digital twinning, particularly relates to the field of building engineering informatization, is used for solving the problem of quality judgment deviation caused by dislocation breakpoints of multi-source evidences on a construction site, and is characterized in that a process event label is triggered through an event anchoring module to limit a window boundary and record an event identifier; the object binding module is used for immediately binding and generating object event table alignment records according to a component identity list and a positioning line, and the sequential judgment module is used for extracting a video key point frame and a sensing track, calculating an action synchronization difference and a form coincidence difference, constructing a deviation sequence and inputting the deviation sequence into a single-side CUSUM to obtain a judgment signal and fragment positioning; the judgment issuing module reads a signal calling rule base to generate quality judgment disposal guidance and recheck script issuing execution, and the recheck write-back module receives result write-back, lightly updates a fragment boundary and responds to a neighborhood record version to realize compact transmission from evidence obtaining to judgment execution to write-back so as to form a stable and traceable quality closed loop.

The invention discloses a financial abnormal event analysis method, electronic equipment, a medium and a product. The method comprises the steps of obtaining at least one financial clue event, and performing structured element extraction and standardization processing on each financial clue event to obtain a standardized event behavior sequence; performing semantic feature and behavior pattern analysis based on the normalized event behavior sequence, performing event reasoning rule recall in combination with a pre-constructed event reasoning library, and determining a recalled rule set; generating an abnormal event analysis execution plan based on at least one inference rule in the rule set; querying original data in the data system according to an inference rule included in the abnormal event analysis execution plan, generating a data view, executing the abnormal event analysis execution plan based on the data view, and generating an inference execution result set and execution path information; and an event reasoning analysis result is generated according to the reasoning execution result set and the execution path information, and the problems of complex abnormal event analysis modeling, low interpretability and the like are solved.

The invention discloses a multi-version upgrading method and device based on distribution, equipment and a medium, and relates to the technical field of distribution. The method comprises the following steps: in response to a version upgrading operation event of a target object, performing metadata marking, multi-modal verification and increment extraction on the target object to obtain version upgrading data and a version upgrading type of the target object; wherein the target object comprises system data, a second-open script and an application source code; acquiring a baseline version of the target object from a multi-mode version database according to a version identifier in the version upgrading data; based on the version upgrading type, determining a target version of the target object according to the version upgrading data and the baseline version; and performing compatibility verification on the baseline version and the target version to obtain a compatibility evaluation report of the target version, and deploying the target version according to the compatibility evaluation report. According to the technical scheme, the reliability and efficiency of system version iteration can be improved.

The invention discloses an event causal relationship identification method based on iterative graph prompt learning, and belongs to the technical field of natural language processing. Comprising the following steps: constructing an initial definite causal graph; based on the initial definite causal graph, performing context modeling on a to-be-recognized text, extracting multi-path information of each event pair in the to-be-recognized text, and inputting the multi-path information into a generative language model to perform causal relationship generation to obtain an initial causal relationship result; based on the initial causal relationship result, adopting a graph structure constraint mechanism to carry out multiple rounds of iterative optimization on the initial definite causal graph, dynamically selecting an edge according to confidence, updating the initial definite causal graph, judging whether an iteration termination condition is met or not, and stopping iteration when the iteration termination condition is met to obtain an optimized definite causal graph; and obtaining an event causal relationship result of the to-be-identified text based on the optimized definite causal graph. According to the method, the event causal relationship identification accuracy is improved.

A method for generating an inverted search index for event sequence visualization may include determining, from an event sequence dataset containing event sequences and events, event pair combinations based on identified unique singleton events. The method may further include establishing a positional ordering for each singleton event and each event pair combination and generating a respective event sequence set for each event sequence. The method may also include determining whether each unique singleton event and each event pair combination exists or does not exist within each event sequence, and populating, for each respective event sequence set and according to the positional ordering, data indicative of whether each unique singleton event and each event pair combination exists or does not exist within the event sequence for the respective event sequence set. The method may also include generating the inverted search index including each respective event sequence set for each event sequence.

The invention provides a power demand transaction assessment method, device and equipment considering the action of event factors, and the method comprises the steps: collecting the related information of a target event, and extracting the event entity information related to the power demand from the information; determining an event type according to a preset event classification system based on the event entity information, and determining an influence industry of the target event and influence coefficients of the target event on different industries based on event classification and an influence quantification knowledge base according to the event type; taking the influence industry as a processing group, adjusting the basic weight of each control unit in the control group corresponding to the processing group according to the influence coefficient, and obtaining the dynamic weight of each control unit; according to the dynamic weight, constructing an anti-factual power utilization path of the processing group under the condition that no target event occurs; and calculating the difference between the actual power consumption data of the processing group and the anti-fact power consumption path, and obtaining the net influence quantity of the target event on the power consumption demand of the processing group. According to the invention, the influence of emergencies on power demands can be accurately identified and quantified.

The invention discloses an event causal reasoning method for intelligence analysis and electronic equipment. The method comprises the following steps: acquiring a plurality of evidence fragments related to a query text from a plurality of sources, and taking the plurality of evidence fragments as an evidence fragment set; extracting entities from the evidence fragments, and linking the entities into a knowledge graph; event elements are extracted from the evidence fragments, event nodes and causal edges are generated according to the event elements, and one or more candidate causal edges are generated based on the event pairs; retrieving from the evidence fragment set to obtain one or more binding evidences of each candidate causal edge; and calling a large language model for each candidate causal edge to generate a causal assertion, performing consistency verification on the binding evidence of the causal assertion and the same candidate causal edge, combining into a traceable causal evidence chain, and performing event causal reasoning analysis. According to the method, the event-level representation is constructed, and the event-event candidate causal relationship is generated, so that a reasoning object is improved from entity co-occurrence to a reasonable and maintainable event causal structure.

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 a page rendering method, device, equipment and system, a medium and a program product, and relates to the technical field of big data. The method comprises the steps that a target page structure is obtained through a page identifier of a to-be-rendered page, the target page structure comprises configuration information of a component and at least one operation event corresponding to the component, a programming interface of the component is generated according to the configuration information, and according to data corresponding to the component and the programming interface, the dynamic component is rendered in a recursive mode through the dynamic component. And the to-be-rendered page is rendered, so that the problem of high difficulty in component modification is solved. The method comprises the following steps: determining at least one target event name corresponding to a component through at least one operation event corresponding to the component, querying a preset event library according to the at least one target event name to obtain an event call chain corresponding to a target event represented by each target event name, and performing event extension on an original event based on the call chain to obtain an event extension result. The problem that the code expansibility is not high is 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.

The invention discloses a building grid enterprise migration clue generation method and system, a storage medium and a program. The method comprises the following steps: S1, establishing a building three-dimensional grid code; s2, accessing an enterprise entity, an address text and a heterogeneous presence event stream; s3, gate region co-occurrence anchor point event pairs are constructed only based on the anchor point qualification set, multi-source event flow clock skew and drift rate are estimated and corrected in a segmented mode, drift continuity constraint is applied, and a unified time axis is formed; s4, segmenting a resident section on a unified time axis, generating a migration candidate, and executing passing feasibility verification and grid fingerprint template consistency verification on the migration candidate; and S5, constructing a minimum evidence matrix and performing decision according to a one-ticket override mode, taking gate area coverage consistency as a necessary evidence source, performing override when conflicts occur, triggering a mending closed loop when the evidence is in a gap, and then outputting a migration clue or a suspected clue and a recheckable evidence packet. According to the method, pseudo migration clues caused by wireless coverage overlapping and cross-source clock skew can be inhibited, and clue reliability and auditing performance are improved.

The invention discloses a multi-channel questionnaire generation method and device and electronic equipment, and the method comprises the steps: obtaining an event log corresponding to a questionnaire trigger event when the questionnaire trigger event is monitored; analyzing a target service element contained in the event log, and determining a target questionnaire intention entity corresponding to the questionnaire trigger event in a preset questionnaire knowledge graph based on the target service element; determining a target questionnaire element matched with the target questionnaire intention entity in a preset questionnaire element library, and generating an initial questionnaire based on the target questionnaire element; and obtaining interaction environment information corresponding to the questionnaire trigger event, and adjusting the initial questionnaire based on the interaction environment information to generate a target questionnaire. Through the method, intelligent and accurate matching of the initial questionnaire and the service scene can be realized, multi-dimensional adaptive adjustment based on the interaction environment can be realized, the filling rate and the data quality can be improved, and the user experience can be improved.

This invention provides a method and system for constructing a cross-device, cross-modal user memory graph. The method includes acquiring multimodal data from multiple devices and applications, uniformly parsing it into standardized memory atomic events with timestamps, calculating causal relationships between adjacent events during real-time processing, linking highly correlated event pairs into instantaneous event chains, performing deep encoding of the event chains using an offline dual-stream temporal semantic embedding model, and inferring candidate graph substructures using a graph neural network. When fusing these substructures into the user's main graph, relationship conflicts are resolved through confidence comparison, retaining highly reliable results, identifying stable subgraphs, and using a multi-head attention graph summarization network to abstract the subgraphs into higher-order memory concept nodes, thereby achieving continuous optimization and updating of the graph.

A Cybersecurity Event Handling Processor (CEHP) and method for processing security alerts includes: a File System containing a Universal Target Schema (UTS) of target language representations (UTS JSONs); a Normalizer running Feature Extraction and Word Embeddings algorithms; a Tree Converter; and a Transformer running linguistic and structural matching algorithms. The CEHP: (a) captures threat events in one or more native formats generated by cybersecurity tools; (b) runs Feature Extraction and Word Embeddings algorithms for tokenization and categorization of the captured events to create normalized events; (c) converts the normalized events into trees and then translates the trees into event representations in JSON (or XML) format (Event JSONs); and (d) runs nearest neighbor and / or linguistic and structural matching algorithms to compare the Event JSONs to the UTS JSONs to generate output JSONs (Translation JSONs) from the UTS corresponding to the captured events.

This application discloses a method, apparatus, device, medium, and program product for generating video descriptions. The method includes: acquiring the positive mask feature representation and the negative mask feature representation of video frames in sample video data; analyzing the positive mask feature representation using a first event description model to obtain a first event description corresponding to the nth event; and analyzing the negative mask feature representation using the first event description model to obtain second event descriptions corresponding to events other than the nth event. By using the differences between S reference event descriptions and the first and second event descriptions, the accuracy of the location prediction is indirectly evaluated, enabling the event location prediction model to automatically adjust the event location prediction. Thus, the event descriptions generated by the first event description model can accurately correspond to the corresponding event locations. Without providing location labels, effective implicit alignment between event locations and event descriptions is achieved, improving the training efficiency of the model.

The present disclosure discloses a processing method and device of an event, a computer device and a storage medium, and the implementation scheme is as follows: a first vector corresponding to a to-be-processed event and a second vector corresponding to each reference event in a preset event graph are determined; each associated event related to the to-be-processed event is determined from the event graph according to the similarity between the first vector and the second vector; each transition probability between the to-be-processed event and each associated event is determined according to the similarity between the first vector and the second vector corresponding to each associated event; and a type label corresponding to the to-be-processed event is determined according to each transition probability and a label vector corresponding to each associated event. Thus, the type label corresponding to the to-be-processed event is determined by combining the semantic information of the to-be-processed event, each transition probability between the to-be-processed event and each associated event, and the label vector corresponding to each associated event, thereby improving the rationality and reliability of the event handling suggestion and reducing the event processing cost.

A method and system for customizing integration flow templates is provided. The method can include monitoring integrations of a user with a plurality of systems external to an integration system to read data changes at the external systems, identifying at least one pair of events, where each pair of events is between two external systems that have the same data change event. The identified pairs of events are filtered to include them in a chain of events, and the external systems of the filtered pairs of events in the chain of events are ordered based on timestamps of the data change events. The method outputs an integration flow template based on the ordered external systems of the pairs of events that define a flow trigger and at least one flow node.

The present disclosure provides a prompt word determination method and device applied to a large language model, equipment and a medium, relating to the field of artificial intelligence, and particularly to the field of intelligent interaction. The specific implementation scheme is: obtaining a preset interface description sentence, a prompt word template, and a structured parameter of a schedule event; the interface description sentence represents parameter information of the schedule event required when calling an application programming interface to be called; the prompt word template is a template corresponding to part of information of the prompt word to be generated; the structured parameter is a parameter of the schedule event; generating first part information of the prompt word to be generated according to the interface description sentence and the prompt word template; generating second part information of the prompt word according to the structured parameter; generating the prompt word corresponding to the schedule event according to the first part information and the second part information; the prompt word is used to call the application programming interface to be called for event response processing after determining the event triggered by the user based on the large language model.

The invention discloses an event identification method, device and equipment for COTDR data and a storage medium, and the method comprises the steps: obtaining coherent optical time domain reflectometry (COTDR) curve data, carrying out the smoothing of the COTDR curve data according to a preset moving average algorithm, and obtaining the smoothed COTDR curve data; dividing the smoothed COTDR curve data into an effective COTDR curve and noise, and obtaining abnormal point information of the effective COTDR curve; and analyzing the abnormal point information to obtain event point information corresponding to different events in different categories, so that the event information can be automatically obtained in real time, the personnel judgment difficulty is reduced, the operation and maintenance automation capability of the ocean communication system is improved, the arithmetic logic is simple, the code complexity is reduced, and the operation efficiency is improved. Unification of a COTDR monitoring system and a communication equipment management system is realized, and the event identification speed and efficiency of the COTDR data are improved.

The invention discloses a nuclear chemical engineering facility safety analysis method and system and electronic equipment, and belongs to the technical field of nuclear chemical plant safety analysis. The analysis method comprises the steps of obtaining an originating event list of the nuclear chemical engineering facility; according to the originating event list and the event sequence logic, respectively constructing an event tree model corresponding to each originating event; a fault tree model of a key fault branch in each event tree model is constructed, and the fault tree model comprises basic events connected with logic gates; calculating a basic event probability based on correlation analysis, human factor reliability analysis and an equipment failure database; and according to each event tree model, the fault tree model and the basic event probability, calculating a safety analysis result corresponding to each originating event. According to the method, the problems that a security analysis method based on a deterministic theory in the prior art is too conservative and low in accuracy can be solved.

The invention relates to a data display method and device, electronic equipment and a storage medium, and the method comprises the steps: in a simulation process, recording event data of at least one monitoring event, the event data comprising event time and event content; and in response to an instruction for displaying the event data of the at least one monitoring event, sorting and displaying the event content corresponding to the at least one monitoring event according to the event time corresponding to the at least one monitoring event. According to the technical scheme, the event data of the monitoring events can be automatically recorded, and the event content corresponding to the at least one monitoring event is sorted and displayed according to the instruction and the event time, so that a user can more intuitively know the time sequence evolution between the monitoring events and perform cross-time-point data comparison, the use is simple, and the user experience is improved. And the simulation analysis efficiency is effectively improved.

The invention discloses a process root cause positioning method and system based on causal resonance attenuation, and the method comprises the steps: firstly collecting key node data of a process event chain, and constructing a state vector of the process event chain; then based on the state vector of the process event chain, constructing an event transfer operator; based on an event transfer operator, carrying out chain type evolution on a causal wave packet in a whole process event chain, and calculating causal wave packet energy; and finally, based on causal wave packet energy, calculating an energy attenuation rate, and positioning an energy loss root cause event in the process event chain. According to the method, a modeling mechanism of'causal wave packet 'and'event transfer operator' is embedded in a process event chain, and from the angle of causal energy transfer, the attenuation degree of each event on the overall chain causal effect is quantified in a complex business process, so that accurate positioning of a real disease cause node in the complex process is realized, and the accuracy of the process flow is improved. And an explainable and verifiable evidence chain is provided for project management and cross-department collaboration.

The invention discloses a communication event detection method and device, equipment, a medium and a program product, and is applied to the technical field of Internet. The method comprises the following steps: receiving first input of a user, wherein the first input is input of the user for triggering a communication event; in response to the first input, detecting the communication event according to a reference communication event rule corresponding to the communication event to obtain an event detection result; the event detection result is used for representing whether the communication event is an abnormal communication event; and generating a processing strategy for the communication event according to the event detection result. According to the method, the event detection result and the disposal strategy can be obtained in real time after the user triggers the communication event through a mode of real-time detection and real-time generation of the disposal strategy, so that a time window for identifying and disposing the abnormal communication event is shortened, the safety of communication service is effectively guaranteed, manual participation in the detection process is not needed in the whole process, and the user experience is improved. And the detection efficiency of the communication event is effectively improved.

The embodiment of the present specification provides an event attribute storage method, a cumulative calculation method and device. The event attribute storage method comprises: a blockchain node in a blockchain system acquires attribute values corresponding to multiple event attributes of a first event; according to a pre-configured cumulative calculation subject and object, selects an attribute value corresponding to the cumulative subject from the attribute values as a first subject value, and selects an attribute value corresponding to the cumulative object from the attribute values as a first object value; stores a first storage unit corresponding to the first event in a first block, records the first subject value, the first object value and first indication information of the latest block in which the first subject value is stored in the first storage unit; and when a preset condition is met, packs the first block and stores it in the blockchain. The data of the stored event attribute can be prevented from being tampered with, and the query of the object data of the same subject during the cumulative calculation is facilitated.

A method for generating an inverted search index for event sequence visualization may include determining, from an event sequence dataset containing event sequences and events, event pair combinations based on identified unique singleton events. The method may further include establishing a positional ordering for each singleton event and each event pair combination and generating a respective event sequence set for each event sequence. The method may also include determining whether each unique singleton event and each event pair combination exists or does not exist within each event sequence, and populating, for each respective event sequence set and according to the positional ordering, data indicative of whether each unique singleton event and each event pair combination exists or does not exist within the event sequence for the respective event sequence set. The method may also include generating the inverted search index including each respective event sequence set for each event sequence.

The application provides a multi-platform data real-time synchronization method and device, electronic equipment and storage medium. The method comprises: obtaining events generated by user operations and platform data changes; analyzing the events and forming event information; classifying the event information, generating a synchronization task based on the classification result, and establishing a task queue using the synchronization task; obtaining a synchronization task related to user access from the task queue, deploying a prediction model on an edge node close to the user according to user behavior characteristics and historical access data in the synchronization task; obtaining a synchronization task related to key data changes from the task queue, executing a distributed consensus protocol on the key data changes, and reaching an agreement on the update status of the key data among multiple platform nodes; and distributing the update status confirmed by the consensus to multiple platform nodes. The application can reduce delay, improve data synchronization accuracy, reduce load, and improve real-time and consistency of data synchronization.

The invention discloses a text semantic visualization presentation method and system based on a multi-modal large model, and relates to the field of text visualization presentation, and the method comprises the following steps: constructing a text vector sequence of an original reading text, obtaining M causal relationship events in the text vector sequence, aggregating the M causal relationship events, generating K disordered event clusters, the method comprises the following steps: constructing K causal event sequences, forming an event development stage graph based on cluster-level stage sequence numbers, identifying K-1 event evolution groups with evolution stage sequence numbers, determining K-2 event pairs of shared sequences, performing jump distance judgment on the event pairs of the shared sequences, generating F plot units, and performing predefined visual presentation on the F plot units. According to the method, the causal relationship event in the original reading text can be divided into a plurality of visual plot units, and a visual view with a clear structure is provided for text reading understanding.

The present disclosure provides a page generation method and device, comprising: obtaining atomic component data and user preference data of a target event, the target event being at least one; in response to identifying a target event of the target event, obtaining a basic weight and an event occurrence time of the target event; and generating a page corresponding to the target event based on the target event, the basic weight, the event occurrence time, the user preference data and the atomic component data. The present scheme realizes the automatic, personalized and emotional generation of the page by fusing real-time event, individual user preference and structured atomic content, significantly improves the user participation and the propagation effect, greatly reduces the operation cost, provides an efficient and scalable technical path for the precise operation of the sports event, and introduces a time decay mechanism by using the event occurrence time, grades the event value in combination with the basic weight, avoids the interference of low-value events to the user, and reduces the invalid exposure.

Each event type in a business process is represented by a node in a process discovery graph. Semantic clustering merges nodes based on a commonality between them. As a result, a graphical user interface (GUI) may be presented that shows fewer nodes. This process may be repeated, using different commonalities at each level. A user may select a node to zoom in, showing the constituent nodes. The frequency of an event or its other attribute values may be compared to a predetermined threshold to determine if the event is a blocking event. The GUI may indicate that the node for an event is a blocking event. When the node for the event is merged with other nodes using semantic clustering, the blocking status of the node is transferred to the merged node. After zooming in on the blocking event, the GUI allows the user to select the blocking event to cause display of a recommendation.