154 results about "Event list" patented technology

The invention relates to a digital finance and taxation auditing method based on artificial intelligence, and the method comprises the following steps: S1, obtaining electric finance and taxation multi-source data, and carrying out the preprocessing of the data, and obtaining the preprocessed electric finance and taxation multi-source data; s2, constructing a finance and taxation knowledge graph according to the preprocessed power finance and taxation multi-source data; s3, constructing a multi-modal risk detection model, and obtaining a risk event list and a whole-course data traceability path according to the finance and taxation knowledge graph and the real-time electric finance and taxation multi-source data; s4, according to the risk event and traceability, based on a rule model, generating a structured decision instruction set including all key information and traceability links; and S5, converting the structured decision instruction set and the finance and tax knowledge graph into a standard relation graph for input, and dynamically displaying fund flow, risk events, abnormal aggregation and traceability paths among enterprises through D3. Js rendering. According to the invention, the efficiency and reliability of electric power digital finance and taxation auditing are significantly improved.

The invention provides an intelligent data quality monitoring method and system. The method comprises the following steps: performing data processing on multi-source heterogeneous data by utilizing a unified data model; inputting historical data as a training set into the pre-training model for training optimization to obtain an optimized pre-training model, and performing threshold determination on the standardized distribution data stream by using the optimized pre-training model in combination with an adaptive threshold module; inputting the processed abnormal event list into a context awareness and dynamic priority management module to carry out de-duplication optimization transmission; carrying out root analysis on the abnormal event list after the de-weighting optimization by utilizing a root analysis tool; generating a repair strategy for the root analysis result by using the assistance of a repair suggestion engine; and inputting the repair strategy and the visual report into a cross-platform monitoring interface, and generating a repair suggestion and an early warning notification. According to the method, the data consanguinity map is constructed based on the graph database, minute-level traceability of abnormal events is achieved, and the troubleshooting time is shortened by 50%.

The invention relates to the technical field of equipment fault prediction, and discloses a fire fighting equipment fault early warning method and system based on multi-dimensional data linkage, and the method comprises the steps: collecting multi-dimensional operation parameters, and carrying out the data preprocessing, and obtaining standardized data; and then time synchronization and dependency relationship analysis are carried out, an equipment dependency graph is constructed, influence weights among equipment are quantified, and abnormal fluctuation characteristics are extracted to form a risk mode set. And based on the risk mode set, identifying a high-frequency high-weight risk cluster as a preliminary fault feature through grouping analysis, and determining a core fault feature by combining historical data correlation analysis. And then matching abnormal signals to generate spatial labels, integrating data to form an abnormal event candidate list, analyzing an event propagation path in combination with environmental data, and verifying the event propagation path to obtain a final abnormal event list. And finally, performing priority grading according to a historical mode matching result, and generating a visual early warning report by using a three-dimensional point cloud rendering technology. According to the method, the fault early warning accuracy of the fire-fighting equipment is improved.

The invention relates to the technical field of traffic scheduling, in particular to a road traffic analysis scheduling method and system based on event driving. The method comprises the following steps: collecting traffic state data in real time, and generating an original traffic data flow; feature extraction is carried out on the original traffic data flow, a space-time traffic flow graph is constructed, and a dynamic traffic network graph is generated; performing analysis and space-time correlation analysis on the dynamic traffic network diagram to generate a traffic event list; triggering an intelligent scheduling response based on the traffic event list, calling a corresponding scheduling strategy template according to the event type, and generating a candidate scheme set; a multi-objective optimization model is constructed for optimization, and an optimal scheduling scheme is generated; issuing the optimal scheduling scheme to road control equipment, and executing traffic scheduling; and collecting traffic feedback data, evaluating a scheduling effect, and if an expected target is not reached, adjusting scheduling parameters and regenerating an optimization scheme until the traffic state is improved. According to the invention, accurate analysis and efficient scheduling of road traffic can be realized.

The invention provides a logic detection method for game time events and a terminal. The logic detection method comprises the steps that player behavior events and game state change events in a game are captured in real time, and event nodes in the events are recorded to construct a time event dependency graph; according to the time event dependency graph, causal contradictory logic among the events is detected; and performing contradictory severity scoring on the corresponding contradictory events according to the causal contradictory logic, and outputting a contradictory event list with a contradictory severity score. By capturing player behaviors and game state changes in real time, constructing a time event dependency graph and detecting causal contradictions between events, logic contradictions under a time travel mechanism in a game are automatically recognized, the severity of the contradictions is quantified through severity scores, developers are helped to quickly position and repair problems, and the game quality is improved. Compared with traditional manual inspection and static test, the test coverage rate and the detection efficiency are remarkably improved, and the method is suitable for complex time travel narrative games.

The invention discloses a cultural relic three-dimensional dynamic scene display system based on a virtual-real fusion technology, and relates to the technical field of mixed reality, and the system comprises a data collection module which obtains original signals of a to-be-displayed cultural relic and a surrounding environment, and generates an environment feature vector and an environment fusion index; the twinborn simulation module is used for generating health state feature vectors of the cultural relics in combination with finite element grids and carrying out prediction simulation on the deterioration state of cultural relic materials; the model creating module is used for creating a three-tense model resource package and generating time axis metadata by adopting a vertex interpolation and mapping mixing technology; the story layout module is used for constructing an environment event mapping rule base, obtaining a ranked trigger event list through priority ranking, and generating a scene script sequence; according to the method, the health state and the degradation process of the cultural relics under different environmental conditions can be dynamically reflected, and three-dimensional scene display changing along with time evolution is provided.

The embodiment of the invention provides a multi-device cooperative control method and system based on a bus communication protocol, and belongs to the field of multi-device cooperative control of the bus communication protocol. The method comprises the steps of collecting multi-modal data, extracting event data, analyzing event metadata, obtaining an event influence radius and an event type, grading events according to the event influence radius and the event type, and obtaining an event arbitration result through a dynamic arbitration mechanism based on a graded event list. According to the event arbitration result, distributed space-time collaborative decision making is carried out, and a collaborative group execution scheme is obtained; and based on the graded event list, sending the cooperative group execution scheme to corresponding equipment to complete multi-equipment cooperative control. According to the method, event grading is realized through the three-dimensional evaluation matrix, instant response of high-priority events is ensured in combination with a dynamic arbitration mechanism, and the real-time performance and reliability of multi-device collaboration are remarkably improved by adopting a distributed space-time collaborative decision-making system.

The invention relates to the technical field of data processing, and particularly provides an intelligent decision-making method and system for multi-source data fusion, and the method comprises the steps: carrying out the parallel collection of environment data and equipment state data under the same timestamp, obtaining multi-source data, transmitting the multi-source data to a PLC at an equipment end, and carrying out the local preprocessing, performing time sequence feature extraction and anomaly detection on the preprocessed multi-source data to obtain labeled multi-source data and an abnormal event list, and inputting the labeled multi-source data and abnormal event list into a preset weight adjustment model to obtain a dynamically adjusted weight vector; and carrying out weighted fusion on the labeled multi-source data by using the dynamically adjusted weight vector to obtain fused data, and carrying out intelligent decision making based on the fused data. By carrying out dynamic weighted fusion on the environment data and the equipment state data, the overall intelligent regulation and control capability of the system is improved, and the problems that the reliability of multi-source data fusion is insufficient and the weight cannot be adaptively adjusted are solved.

The invention relates to a flood event automatic identification method and system based on frequency domain features and multiple constraint conditions and a medium, and the method comprises the following steps: data preprocessing: obtaining original daily scale hydrological time series data, carrying out missing value detection and interpolation, and generating a flow hydrograph overview map; base flow separation and smoothing; identifying a candidate peak and calculating a threshold value; performing frequency domain analysis and period determination; determining the optimal separation duration; and flood event separation and output: combining and screening candidate flood peaks by applying the optimal separation duration, the valley depth threshold value and the absolutely threshold value of the highlight degree, determining a final flood peak position and event starting and ending time, retaining an event of which the flood peak flow is greater than the average flow in a flood season, and outputting a flood event list and a characteristic statistical result. According to the method, the problems of subjectivity and low efficiency of a traditional method are solved, the adaptation bottleneck of cross-basin application is broken through, and efficient, accurate and automatic identification of flood events in basins with different hydrological characteristics is achieved.

The invention provides a mobile payment transaction behavior analysis method based on spatial data, and the method comprises the steps: obtaining time series data of transaction amounts in different geographic regions, carrying out the feature extraction, and forming a transaction amount fluctuation feature set; correcting a weight value of spatial-temporal heterogeneity according to the fluctuation period, the adjacent region sensitivity and spatial-temporal change characteristics of the inter-region transaction intensity, and determining an adaptive spatial weight matrix; acquiring a historical distribution mode of the potential abnormal region set transaction data, analyzing a deviation degree between the current fluctuation amplitude and the historical mode, judging the authenticity of an abnormal signal, and determining an abnormal event list; and calculating the influence diffusion degree of the abnormal events on the surrounding area to obtain the variance expansion degree, adjusting the abnormal detection parameters according to the abnormal event list, optimizing the detection rule, and determining the spatial dependency relationship network.

The invention provides a hot event mining method and system, and relates to the technical field of natural language processing, and the method comprises the steps: obtaining news website data comprising a plurality of pieces of news, and vectorizing a news title of each piece of news to obtain a title vector; based on the title vector, dividing all news of the news website data into a plurality of clusters through a clustering method; performing importance evaluation on news in each cluster according to the news content, then selecting a most important news title from each cluster, and extracting a news trunk from the most important news title to form a candidate event list; the number of news in the cluster is used as the popularity of the events, and the events in the candidate event list are sorted, so that final hot events are screened out; according to the method, the candidate events are selected based on the word frequency-reverse file frequency of the keyword, and information in a news title is concisely focused by extracting a news trunk, so that the accuracy and robustness of hot event mining are improved.

A trouble ticket associated with an incident is automatically triggered. A task is initiated to collect system event logs from one or more servers based on the trouble ticket. A system document is obtained that includes an event list. The event list and the system event logs are provided to an Artificial Intelligence (AI) engine for analysis. An AI diagnosis result is generated by the AI engine. The AI diagnosis result is received from the AI engine. A remote action is executed to resolve the incident based on the AI Diagnosis Result. Action result logs are obtained in response to executing the remote action. A result document is generated that includes a result of the executing the remote action. The result document is provided to the AI engine for training a model used by the AI engine to generate the AI diagnosis result.

In one embodiment, a device determines one or more key-value pairs associated with observability data for an online application, and searches the observability data for events corresponding to the one or more key-value pairs. The device also builds a responsive event list with the events corresponding to the one or more key-value pairs within the observability data and sorts the responsive event list by associated timestamps to provide the responsive event list as a sequence of transactional milestones reached by one or more users of the online application.

Embodiments of the present invention are directed to gaming devices and gaming systems that are configured to implement event-based gaming operations. Here, a gaming device includes a game event list that has game outcomes associated with each entry in the game event list. The game event list is generated before game play on the gaming device by selecting general game outcome types or specific game outcomes for each of the entries in the game event list. During game play, a game counter is incremented to a next entry in the game event list and an associated game outcome is displayed on the gaming device during the gaming event.

The invention discloses a method for selecting a solid-state micro-heap design benchmark accident. The method comprises the following steps of: establishing an event tree and calculating the occurrence frequency of an event sequence according to an originating event list and a corresponding occurrence frequency; obtaining a solid-state micro-stack design reference event; and providing a key safety function list and a PSA modeling system, taking a system which is used as an accident consequence relieving system in all design reference events as a safety related system, and screening out a design reference event which is successfully executed by the safety related system as a design reference accident of the solid-state micro-reactor. According to the method, the structural design characteristics of the solid-state micro-reactor can be effectively analyzed based on risk guidance, design basis accidents are reasonably screened out, and the safety management level of the solid-state micro-reactor is effectively improved. The invention further provides a system for selecting the solid-state micro-reactor design benchmark accident.

The present application relates to a kind of EPR nuclear power unit accident initiation event list optimization method and system, method includes: collecting the initiation event list of each nuclear power unit;Each initiation event list is compared and analyzed, and the optimization object of the accident initiation event list of EPR nuclear power unit is determined according to comparison result;Frequency analysis is carried out to the accident initiation event in optimization object;EPR accident classification standard and frequency analysis result are combined to reclassify accident;According to the classification result, optimization initiation event list is carried out;Generation optimized initiation event list.Through implementation of the present application, after the optimization of the accident initiation event list of EPR nuclear power unit, optimization EPR accident analysis and EPR nuclear power unit operation technical specification are carried out, realize unit online maintenance, further improve the economic benefit of nuclear power plant under the premise of guaranteeing safety.

The application provides a kind of intelligent government affair hotline mass appeal analysis, detection method, the method includes the following contents: pull daily work order data regularly;The work order content in work order data is vectorized coding;For vectorized work order data, using DBSCAN clustering algorithm, obtain classification cluster;Traversal classification cluster, utilize the address feature of classification cluster, complaint feature, with the data not included in any cluster, again using DBSCAN clustering algorithm expands classification cluster, for obtaining more accurate complaint quantity and complaint number information;Obtain the complaint summary of each classification cluster through large model;Data is written into data.The application can realize mass appeal detection considering semantics and spatial information, replace the redundancy, repetitive work of original manual statistics in an intelligent way, can effectively help to identify and integrate similar appeals, so as to improve the processing efficiency, optimize the service quality, quickly and efficiently provide daily mass event list.

The present disclosure provides a medical event recognition method, device, equipment and storage medium, the method comprising: identifying entities in medical data, obtaining an entity list including multiple types of entities, the multiple types of entities including time entities, subject entities, location entities and event entities; traversing the entity list, obtaining an event list including multiple extracted medical events; wherein for each traversed entity, if the entity is a time entity, the current event time is updated; if the entity is a subject entity, the current event subject is updated; if the entity is a location entity, the current event location is updated; if the entity is an event entity, the event entity is used as the entity content of the current event; and the medical event is obtained based on the current event time, the current event subject, the current event location and the entity content of the current event. The method disclosed in the present disclosure processes medical data through semantic recognition, so that the relationship between medical data is clear and the medical data is fully applied.

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 present disclosure relates to an information display method, apparatus, electronic device, and storage medium. The method includes: displaying an activity main page; the activity main page includes an activity list area, the activity list area includes a plurality of activities, and the plurality of activities correspond to multiple activity types; in response to a preset gesture operation based on the activity list area, displaying activity content cards corresponding to each of the plurality of activities; on each activity content card corresponding to an activity, displaying the content multimedia resources of each activity; in response to a trigger operation on any activity content card, displaying an activity page of a target activity corresponding to the any activity content card; the activity page of the target activity includes activity details information of the target activity. The present disclosure can simplify the operation steps for viewing content resources, improve the convenience and intuitiveness of viewing content resources, and enhance the activity attraction.

An apparatus for maintaining an event listing using voice control, comprising at least a processor and a memory containing instructions configuring the at least a processor to receive acoustic data, identify a voice input including event activation data as a function of the received acoustic data using a voice recognition module, wherein the event activation data comprises an identification of a named entity, initialize at least an event data structure associated with the named entity as a function of the event activation data, insert the at least an event data structure into an event listing maintaining a plurality of event data structure, and display the event listing using a user interface.

The invention provides an event processing method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that an event list is displayed in an incidence relation interface between a first user account and a second user account, the event list is used for displaying events to be executed between the first user account and the second user account, and the event list comprises an event creating control; in response to a trigger operation on the event creation control, displaying an event editing interface; creating a first event based on an event name input in the event editing interface; and displaying the first event in the event list. According to the technical scheme, the first user account or the second user account can directly create the required event through the event creation control, the executable events between the user accounts are enriched, the operation is simple, and the executable events are more flexible and more accord with the intention of the user.

Embodiments of the present application belong to the technical field of data analysis, and disclose an operation data display method and apparatus, a device, and a storage medium. The method comprises: displaying an operation replay interface, the operation replay interface comprising an operation video replay area and an operation event list, the operation video replay area displaying an operation replay video and a playback progress bar, and the playback progress bar being positioned in association with an operation event in the operation event list; in response to a first trigger operation on the playback progress bar, skipping in the operation playback video to play back a first operation interface, and marking in the operation event list a first operation event corresponding to a first playback time point; and in response to a second trigger operation on a second operation event in the operation event list, marking a second operation event, and positioning the playback progress bar at a second playback time point corresponding to the second operation event. Bidirectional associated positioning between an operation event list and a playback progress bar is achieved, and the operation data display effect is optimized.

The invention discloses a universal traffic anti-shake processing method based on distributed cache, and the method specifically comprises the following steps: S1, when an event is accessed, storing or updating an event record in the distributed cache according to an event identifier id; s2, obtaining candidate events from the distributed cache in batches; s3, the candidate events are judged according to the idle time threshold value and the maximum waiting time threshold value; when the event exceeds the idle time threshold value or the maximum waiting time threshold value, adding the event into a to-be-processed event list; s4, before business execution, intercepting a business method by a section and injecting the to-be-processed event list into business processing logic; and S5, after the candidate events obtained in batches are processed, performing security cleaning on the event records which are not updated according to comparison of the latest updating time before and after processing. According to the method, the database writing quantity is greatly reduced, and automatic batch merging processing of high-frequency behaviors is realized.

The invention relates to the field of guardrail topology generation, and particularly discloses a guardrail topological graph generation system based on guardrail connection identification, which comprises the following steps: firstly, acquiring an original signal flow generated by connection or disconnection operation in real time through a sensor deployed at a guardrail connection port; the signals are then parsed into a structured event list. By analyzing the time sequence of the events, the active connection event of one guardrail is matched with the passive connection event of the other guardrail in an extremely short time window, so that the connection relationship between the guardrails is accurately identified. Once the connection relation is confirmed, nodes representing guardrails and edges representing connection are generated on the basis, and a logic topological graph is formed. And finally, performing visualization processing on the logic diagram to generate a visual layout form image. Therefore, the real-time and remote visual supervision of the guardrail topology is realized, and the construction management efficiency and the safety response speed are effectively improved.

The present disclosure provides a hotspot event mining method and device, equipment and medium, relates to the technical field of data processing, and particularly relates to the technical field of big data and artificial intelligence. The implementation scheme is: obtaining a plurality of original documents; for each original document, obtaining at least one keyword included in the original document; based on a plurality of keywords included in each of the plurality of original documents, obtaining at least one keyword frequent item set; based on the at least one keyword frequent item set, determining a plurality of preliminary screening documents from the plurality of original documents; at least based on a plurality of keywords included in each of the plurality of preliminary screening documents, constructing an event graph; based on the event graph, obtaining at least one event cluster; and based on the at least one event cluster, determining a hotspot event list.

The present invention proposes an event library-based simulator simulation method, system, device, and medium, relating to the field of simulation. The method comprises: starting the simulation process of the corresponding module in response to a simulation start signal; inserting received events from different processes into a binary tree event library; traversing the binary tree event library in sequence based on a time wheel stepping process to query node event status; retrieving the corresponding node event based on the query result, analyzing the node event, parsing the corresponding source event instance and destination event instance, and updating the event instance attributes according to a preset parsing protocol; sending the node event to the event instance for processing based on the destination event instance to obtain corresponding event execution status information; and printing the step time, event name, event list, and event execution status information. By optimizing the simulation processing flow, the method can achieve the simulator's clock accuracy requirements and facilitate timing analysis and adjustment.

The invention discloses a personalized tourist route recommendation method based on tourist trust degree, and relates to the technical field of smart tourism, and the method comprises the steps: obtaining tourist data, calculating a real-time deviation value of the tourist trust degree, and generating a trust crisis event list; according to the trust crisis event list, judging whether the tourist has trust crisis events which continuously and densely occur in the travel, and outputting a fusing control message; inputting the fusing control message into a cognitive map generation engine, and establishing a basic trust relationship network; calling path reference data in the trust model parameter library, and performing root cause matching in combination with an attribution template preset in the event attribution knowledge library to generate a visual trust repair report; and performing route correction based on the visual trust repair report. According to the method, the fusing control message is input into the cognitive map generation engine, and the basic trust relationship network is constructed in combination with the historical interaction data, so that the multi-dimensional association between the tourist and the service provider can be systematically presented.

The invention discloses a data processing method, system and device applied to an intelligent hospital system. A specific embodiment of the method comprises the steps of determining event data of a node event in a treatment process of a target user based on a plurality of service subsystems in a smart hospital system; according to the event data, updating a to-do event list corresponding to the target user; and displaying the to-do event list through the target terminal. According to the method, the to-do event list for displaying the hospital-wide-level to-do events is provided for the user, so that the query efficiency and convenience of the user are improved.