89 results about "Event list" patented technology

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 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 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.

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.

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 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 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.

1. Name of the product in this design: Graphical User Interface for Facility Safety Monitoring of Electronic Equipment. 2. Application of this design: This design is intended for use in an electronic device. 3. The key design features of this product are its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Other views are omitted as they are standard design. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: The interface is used for monitoring the operational risks of key highway facilities. 8. Human-computer interaction method of graphical user interface: Design 1: The main view of Design 1 is the main interface for monitoring the operation risk of key facilities on highways. In the main view of Design 1, clicking on an event in the event list on the left will display a pop-up window showing the details of the corresponding event. For example, clicking on the last event will take you to the Design 1 interface change state diagram. Design 2: The main view of Design 2 is the main interface for monitoring the operational risks of key highway facilities. In the main view of Design 2, click "Object Management" in the upper right corner of the interface to open the "Object Management" list page and enter the Design 2 interface change status diagram.

Embodiments of the present disclosure relate to malware process detection techniques. A method is presented that includes obtaining, for an identified process from raw data, a list of activities and a list of used resources related to execution of the identified process; generating, for each identified process, a graph representation, wherein the graph representation includes nodes and edges, wherein the nodes are assigned with elements from the list of used resources or an identification value of one of the two identified processes, and wherein the edges are assigned with elements from the list of activities; combining the generated graph representations of the identified processes when the identified processes are linked together, wherein the combination outputs a combined graph representation that is a representation of one of the events to be classified; providing the representation of one of the events to be classified to a classification model.

The embodiment of the invention discloses a log alarm method and device, electronic equipment, a storage medium and a program, and the method comprises the steps: carrying out the dynamic partitioning of an original collection log according to a log type, and obtaining a partitioned log; performing unified processing on the data structure of each type of partition log through a large model to obtain a structured partition log; key log events of the structured partition logs are automatically recognized through the large model, and a key log event list is obtained; and monitoring the original collection log in real time according to the key log event list, and generating real-time log alarm information. According to the technical scheme provided by the embodiment of the invention, the log alarm processing efficiency, the automation degree and the self-adaptability can be improved.

The invention belongs to the technical field of public safety emergency management and control and Internet of Things fusion, and discloses a park public safety comprehensive management and control system based on the Internet of Things. Comprising a data acquisition module used for acquiring user event description information and campus Internet of Things equipment data in real time; the event processing and verification module is used for carrying out association analysis on the event list and campus Internet of Things data, obtaining event clusters containing credibility scores and determining the situation level of each event cluster by constructing a level decision tree, and the resource scheduling and guarantee module is used for triggering a network resource scheduling process according to the situation level of each event cluster. Dynamically creating an emergency network slice instance based on the generated resource scheduling request command, performing exclusive network resource allocation based on the emergency network slice instance, and outputting resource allocation completion confirmation; and the emergency response and monitoring module is used for confirming and executing response operation based on resource allocation, continuously monitoring the progress of the reported event and outputting a response execution report.

The application provides a mobile payment transaction behavior analysis method based on spatial data, comprising: acquiring time series data of transaction amounts in different geographical regions, performing feature extraction, and forming a transaction amount fluctuation feature set; according to the fluctuation period and the sensitivity of adjacent regions, correcting the weight value of the spatio-temporal heterogeneity according to the spatio-temporal change characteristics of the transaction intensity between regions, and determining an adaptive spatial weight matrix; acquiring the historical distribution mode of the transaction data of the potential abnormal region set, analyzing the deviation degree of the current fluctuation amplitude from the historical mode, judging the authenticity of the abnormal signal, and determining an abnormal event list; calculating the variance expansion degree of the influence diffusion degree of the abnormal event on the surrounding region, adjusting the abnormal detection parameters according to the abnormal event list, optimizing the detection rules, and determining a spatial dependence relationship network.

The invention discloses a technical field subversive potential prediction method and device and a program product, and the method comprises the steps: firstly obtaining patent data of a target technical field, and constructing an IPC classification set for the patent data in each preset time window; constructing a patent technology classification bipartite graph according to the association relationship between the patents in the classification set and the IPC classification numbers; based on the co-occurrence strength of any two technology classification nodes in the bipartite graph, generating a technology classification co-occurrence network; performing community division on technical classification nodes in the technical classification co-occurrence network; performing cross-time window community similarity calculation on community division results in different time windows, and constructing a community evolution event list; and finally, obtaining a subversive potential index of the target technical field according to the community evolution event list, and obtaining the subversive potential index of the target technical field based on the subversive potential index. According to the embodiment of the invention, the accuracy of subversive potential prediction in the technical field is effectively improved.

The embodiment of the invention discloses an urban user event-oriented resource scheduling method and device based on big data. A specific embodiment of the method comprises the following steps: preprocessing a real-time event data stream, a preset assessment rule base and a historical event database to obtain a preprocessed data set; performing deep semantic analysis and multi-label classification processing on the preprocessed data set to generate semantic understanding information; performing multi-dimensional elimination judgment and resource demand mapping processing on the semantic understanding information to generate event property and resource demand information; generating an effective governance event list based on the event property and the resource demand information, and constructing a corresponding resource demand thermodynamic diagram based on the effective governance event list; generating a dynamic resource allocation instruction set; and scheduling the corresponding cross-modal resources according to the dynamic resource allocation instruction set. According to the embodiment, accurate resource scheduling and efficient cross-modal resource configuration in the urban user event treatment process can be realized, and the time cost of event treatment is reduced.

The present invention discloses a personalized travel route recommendation method based on tourist trust, which relates to the field of smart tourism technology. The method comprises the following steps: obtaining travel data, calculating the real-time deviation value of tourist trust, and generating a trust crisis event list; judging whether there are continuous and intensive trust crisis events during the tourist's travel according to the trust crisis event list, and outputting a fuse control message; inputting the fuse control message into a cognitive graph generation engine to build a basic trust relationship network; retrieving path reference data from a trust model parameter library, and performing root cause matching in combination with pre-set attribution templates in an event attribution knowledge base to generate a visual trust repair report; and executing route correction based on the visual trust repair report. The present invention can systematically present the multi-dimensional associations between tourists and service providers by inputting the fuse control message into a cognitive graph generation engine and building a basic trust relationship network in combination with historical interaction data.

The invention provides a process processing method and system, electronic equipment and a computer program product, and relates to the field of computers. The process processing method comprises the following steps: polling a virtual file system according to a preset period to obtain a current process list; generating a target event list according to a historical process list and the current process list; and performing anomaly detection on the target event in the target event list, and processing the target event according to an anomaly detection result. By using the process processing method provided by the embodiment of the invention, the process in the Linux operating system can be monitored in real time without the permission of a kernel level, the process processing method can be deployed and operated in a common user environment, and the application range of the process processing method is greatly expanded.

An apparatus for monitoring events. One embodiment monitors complex SOC-specific Off-module transactions using logic on the core PMU that is decoupled from the data sources supported by the SOC. The PMU's new logic works directly on data source information passed in from the SOC in the form of a Performance Monitoring Data Encoding, and makes the encoding available to key capabilities like the precise sampling logic and the load latency logic. In this way, events corresponding to complex Off-module transactions can be precisely sampled or timed, which was previously impractical. To facilitate the tuning process, the encodings are mapped to event names representing transactions implemented by specific SOCs. The names and encodings are then provided in an event list to drivers used by performance analysis tools. Although this is a microarchitectural feature, the need to deliver useful transaction names to performance monitoring tools makes this also a software-visible feature.

1. Name of the product in this design: Graphical User Interface for Elastic Cloud Servers for Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 front view. 5. Electronic devices are designed according to convention, and other views of each design are omitted. 6. Design 1 is designated as the basic design. 7. Purpose of the graphical user interface: For use with elastic cloud servers. 8. Human-computer interaction methods of the graphical user interface: Design 1's main view interface is the login interface. After logging in by entering the account and password, the interface changes as shown in Figure 1. Selecting "Elastic Cloud Server (ECS)" in the overview navigation at the top left of Figure 1 leads to Figure 2. Selecting "Name / ID" from the list in Figure 2 leads to Figure 3. Design 2's main view interface is also the login interface. After logging in by entering the account and password, the interface changes as shown in Figure 1. Selecting "Elastic Cloud Server (ECS)" in the overview navigation at the top left of Figure 1 leads to Figure 3. To access the Elastic Cloud Server (ECS) interface, select "Name / ID" from the list in Design 2 and then select "USB Device" to access Design 2 interface (Figure 3). The main view of Design 3 is the login interface. After logging in with your account and password, the interface shown in Design 3 interface (Figure 1) will appear. Select "Elastic Cloud Server (ECS)" from the overview navigation in the upper left corner of Design 3 interface (Figure 1) to access Design 3 interface (Figure 2). Select "Name / ID" from the list in Design 3 interface (Figure 2) and then select "Event List" to access Design 3 interface (Figure 3). 9. Other situations requiring explanation: Other explanation: The single gray filled area in the interface is the content screen.

The application relates to a log record processing method and device and computer equipment, and relates to the technical field of file processing. The method comprises the following steps: acquiring a plurality of configuration items; analyzing the plurality of configuration items to obtain one or more target rules used for matching, a screening configuration item, and an event list used for data processing; screening log records to be processed according to the screening configuration item, loading the screened log records; traversing the loaded log records, matching the target rules with corresponding data in the traversed log records, obtaining non-compliant matching results of the traversed log records under the target rules; and processing the non-compliant matching results according to the processing action types of the event list. The method can reduce the possibility of missing log records, make the log record investigation more complete, improve the processing efficiency, and reduce the learning cost for users.

This invention relates to methods and systems for dynamically adapting streetlight-based wireless networks to local context data to achieve context awareness and efficiently handle transient demands. The networking domain (e.g., millimeter-wave radio) utilizes lighting grid sensing data for controlling a group of streetlights to adapt to changes in local context. A context engine acts as a proxy for exchanging sensing data between lighting and networking, and can collect data from external applications (e.g., weather stations, public event lists, etc.) to provide contextual insights to the network management system. Based on this, the network management system can enhance its own self-organizing network capabilities without requiring additional sensors or devices.

The invention discloses a log generation and defect tracking-oriented power grid monitoring bionic robot control method, which relates to the technical field of power monitoring, and comprises the following steps of: constructing a dynamic causal reasoning network by utilizing log event associated information in a log event list based on a credible log set, calculating a causal influence coefficient of log events and defects, outputting a defect root cause instruction list when the root cause judgment threshold value is reached; a defect root cause instruction list is used as a drive, state records in the credible log set are linked to carry out defect disposal operation, state changes are tracked in real time, and a closed-loop disposal report is generated; and taking the closed-loop disposal report as feedback, updating the defect condition probability in the dynamic causal reasoning network, adjusting the judgment boundary in the reference spectrum set, and performing closed-loop optimization on the generation process of the credible log set and the defect root cause instruction list. The autonomous and intelligent capabilities of power grid monitoring are enhanced, and the safety and reliability of power grid operation are ensured.

The application discloses a network security attack and defense drill process evidence storage and credible evaluation arbitration method based on a block chain, relates to the technical field of power network security drilling, and comprises the following steps: acquiring key event data of a power system attack and defense drilling full process and performing preprocessing to obtain drilling key data, performing event classification on the drilling key data according to a pre-defined chain-up event list and a chain-up data structure, and performing standardization processing on the chain-up data structure to obtain standardized event data, constructing a consortium chain network according to the standardized event data and performing block chain storage, obtaining consortium chain storage data of the full-process chain-up events, performing drilling arbitration on the full-process chain-up events through a preset smart contract and performing chain-up storage on an arbitration result, performing credibility evaluation according to the consortium chain storage data and the chain-up arbitration result to generate a drilling evaluation report. The method has the effect of providing bottom-layer technical support for the standardization and normalization of power industry network security drilling.

The invention relates to an audit risk identification method and device based on digital governance, equipment and a medium. The method comprises the following steps: acquiring original audit data; standardizing the original audit data to obtain analysis basic data; the original audit data comprises original business data, original log data and an external data source; based on a risk index rule base, performing risk signal scanning on the analysis basic data to obtain a risk signal set; clustering the risk signals pointing to the same service entity in the risk signal set to obtain a risk event list; performing risk scoring on the risk event list based on a risk scoring model to obtain a risk doubtful point list; the risk doubtful point list is used for assisting audit risk identification. The method can effectively deal with the complex risk form changing instantly in the digital environment, and promotes the standardization and normalization of the auditing work.

The present application discloses a method, apparatus, device and medium for visually restoring an attack path, which relates to the field of intranet information security technology. The method comprises: collecting original security events returned by a target security device and saving the original security events into a preset database; obtaining target search conditions through a preset search condition interface, and tracing the source from the preset database based on the target search conditions to obtain a target security event list; obtaining a reference attack path animation using the occurrence time information, source address and destination address in the target security event list, and setting a user search interface so as to generate a target attack path animation based on the user search conditions obtained through the user search interface and the reference attack path animation. Through the above method, the correlation between security events can be displayed in a visualization interface of the attack path, and interaction with the visualization interface can be achieved.