144 results about "Time line" patented technology

The invention provides a communication network operation accident simulation drilling method and device, and solves the problem that a standardized simulation drilling process with automatic deduction and objective quantitative evaluation capabilities is difficult to construct in the prior art. The communication network operation accident simulation drilling method comprises the following steps: acquiring historical operation data of a communication network, and generating at least one scene element data set according to the historical operation data; the scene element data set comprises disposal evaluation data; determining a scene element data set corresponding to the target accident scene, and constructing an analog simulation environment of a communication network operation accident; determining a preset timeline according to the fault injection parameter, and driving a simulation environment to evolve; and acquiring drill process data, and generating a drill evaluation result by combining with analysis of the disposal evaluation data. The invention further provides a device corresponding to the method. According to the method, historical data is converted into a structured drilling process, and measurable, reproducible and continuous optimization of the emergency capability is realized.

The invention provides an orphan insurance policy customer historical information abstract processing method, and relates to the technical field of data processing, and the method comprises the steps: setting an insurance policy monitoring state flow control point if it is detected that an insurance policy state is changed into an orphan insurance policy; the process control point is located at an initial triggering node of policy state change, an instant node for confirming the orphan policy state and a starting node of the service handover process; based on matching analysis of the flow control points and the monitoring time sequence nodes, a geometric control area is obtained, and gridding segmentation is carried out on the geometric control area; obtaining a data collection adjustment value based on the distribution characteristics of the grids; performing optimization adjustment on the cross-source heterogeneous historical data according to the adjustment value; and based on the adjusted cross-source heterogeneous historical data, obtaining a customer interaction timeline through semantic alignment and time sequence reconstruction processing. According to the invention, customer active characteristics and service preferences can be quantified, and the service handover efficiency and customer service quality are improved.

The invention discloses a quality monitoring abnormity positioning method and system for multi-source heterogeneous media data, and particularly relates to the technical field of quality monitoring of the multi-source heterogeneous media data.The method comprises the steps that through access and time base normalization, sources such as RTSP, HLS / DASH, offline files and message buses are mapped to a unified time reference, and out-of-order rearrangement and late cutting are carried out; basic quality elements are extracted from A / V / S in a sliding window, a dynamic threshold value is formed by adopting a trimming mean value and a median absolute deviation, and a window-level quality event is generated; using event anchor points as common reference to estimate cross-modal time delay and fuse evidences, outputting scene / mode labels by means of a lightweight online classifier, entering a confidence reduction mode when the evidences are missing, and outputting an availability bitmap and a reason code; and then event confirmation, time-space range refinement and hierarchical root cause posterior determination are completed, influence measurement and priority are calculated, and finally an anomaly positioning and root cause analysis record set including an event timeline, severity / influence degree, root causes and disposal suggestions is formed.

The invention relates to the technical field of information extraction, and discloses a long text news event element extraction method and system based on multi-agent collaboration, and the method comprises the following steps: constructing a large language model multi-agent system architecture; the central coordination agent receives the unstructured news text; the text segmentation agent outputs a logic unit and time description thereof; an event extraction agent extracts an event subject, an action and an object, and complements time and entity role information; the scene matching agent judges the fine-grained news scene category to which the scene matching agent belongs; the information extraction agent generates a structured event record; and the central coordination agent performs quality auditing and exception handling on each step of output to ensure the integrity and consistency of the output data. According to the method, the static relationship between the event main bodies can be constructed according to the structured event information through the relationship construction and context sorting agent, the event situation change is summarized based on the timeline, and the feasibility and the visualization of news event analysis of the system are improved.

The invention discloses an authority management system of interactive equipment, particularly relates to the field of computer authority management, is used for solving the problem that an interface state is disjointed from an authority decision, and is characterized in that a time mark acquisition module is used for acquiring a role context, a process state and an interface operable item on a unified timeline to generate a context snapshot and writing the context snapshot into a time anchor point; the contract construction module establishes interface contracts based on context snapshots to perform homologous binding to form a constraint set, and the mapping evidence solidification module generates permission mapping table expansion constraints in a rendering stage and writes behavior evidence chain solidification presentation basis. The judgment evaluation module calculates a judgment credibility coefficient according to a time anchor point alignment operation event and an approval record to execute local judgment or record through generating a judgment record; and the version revision module executes a minimum change revision mark change on an interface contract according to the judgment record and releases a new permission mapping table to recycle an old version to form a reviewable sequence.

The invention provides an optical module and a link optimization method and system. The method comprises the following steps that: the microcontroller issues a gain value, so that the continuous time linear equalizer performs equalization processing on an input voltage signal; the time processing module is used for sampling a voltage signal output by the continuous time linear equalizer to obtain sampling data; and the microcontroller determines the gain configuration of the continuous time linear equalizer based on the sampling data under different gain values. Compared with the prior art, the power consumption and the time delay of the module are equal to those of a traditional LPO, and meanwhile, the self-adaptive capability which is only achieved by a DSP scheme in the past is obtained. The application scene and deployment flexibility of the LPO technology are expanded; and meanwhile, the link performance can be always maintained near the optimal point, so that the risk that the performance is continuously deteriorated until error codes occur is fundamentally avoided, and intelligent maintenance of the link state is realized.

The invention discloses a half-duplex satellite terminal signal time management method and device and a communication system, and relates to the field of satellite communication, and the method comprises the steps: adding forbidden time period data generated by an allocated time slot into a plurality of conflict management data sets, the plurality of conflict management data sets at least comprise a forward distribution management data set corresponding to a forward frame, a reverse distribution management data set corresponding to a reverse frame, and a terminal conflict management data set corresponding to a target terminal; and a forward unicast time slot which does not conflict with the reverse sending time on the terminal side timeline is allocated to the target terminal, an available time period of the reverse allocation management data set is searched, and a reverse dedicated access time slot which does not conflict with the forward receiving time on the terminal side timeline is allocated to the target terminal. According to the invention, the technical problem that the resource efficiency is reduced due to the fact that extra protection time needs to be set when satellite communication is realized in a half-duplex mode in the prior art is solved.

The invention provides a train plan working diagram generation method, which comprises the following steps of: constructing a global graph which takes station tracks as nodes and inter-station intervals as edges according to line data, dividing the global graph into a fault area, a normal area, a bottleneck area, a turning point and a critical point according to a fault position and a crossover position, and generating a train plan working diagram according to the fault area, the normal area, the bottleneck area, the turning point and the critical point. And for each train, determining the next optimal action based on the current position, the running direction and the global graph division result, generating single-step plan nodes, coordinating the single-step plan nodes of all trains through a conflict detection and processing strategy, and finally generating a conflict-free train plan running diagram. According to the method, the accurate and feasible operation plan can be dynamically generated based on the real-time line state and the train state, so that the actual operation of the train can be closely linked with the planned operation diagram, and the phenomena of early arrival and late departure of the train are effectively avoided. A reasonable detouring scheme can be generated according to the fault position, and the influence of the fault on subway service is reduced.

The invention relates to the technical field of data analysis, in particular to a log data analysis method, system and device and a computer readable storage medium, and the method comprises the steps: obtaining key logs output by each node in a cluster and node information of the node, and achieving the real-time monitoring of the running state of the node; key logs are classified, target logs with partition faults are screened out, and fault related records are accurately focused; carrying out topology analysis on the partition faults, generating a network topology relation graph of the partition faults, and realizing a visual fault partition structure; time sorting is carried out on the partition faults, a timeline analysis report of the partition faults is formed, and a key time node and an evolution path are visually positioned; according to the network topology relation graph and the timeline analysis report, the partition fault is subjected to fault analysis, the fault analysis result is obtained, the partition fault root cause is accurately positioned, and the high efficiency of fault event root cause analysis is guaranteed.

The invention discloses a data security acquisition and processing system in an MES system, and relates to the technical field of MES data acquisition and processing, and the system comprises a cache trigger mapping module, a time-space association determination module, a feature fusion standardization module, a credibility actuarial calculation module, a risk classification write-in control module and a dynamic security regulation and control module. And the time-space association judgment module is used for extracting the equipment running state, the network state and the cache duration of the cache data based on the time sequence mapping chain, generating a cache state time-space association matrix, and identifying the timeline overlapping relationship of the cache data by performing closed judgment on the timeline continuity and the state stability of the cache state time-space association matrix. According to the method, the problems of data timeline crossing and overlapping and abnormal writing caused by multi-level cache triggering in an existing MES system are solved, and continuity guarantee, intelligent risk identification and safety dynamic control of cache data are achieved.

Determining clusters of similar regularly occurring time periods for alarm data. Detect, for regularly occurring time periods in the alarm data, a change of alarm state and its associated time stamp. Analyze the alarm data along a timeline to detect at least an overlapping period of time for pairs of the plurality of regularly occurring time periods. Determine at least one aggregate similarity value for regularly occurring time periods. Determine a similarity matrix based on the at least one determined aggregate similarity value for each pair of regularly occurring time periods. Determine one or more clusters of similar regularly occurring time periods based upon analysis of the determined similarity matrix between the plurality of regularly occurring time periods. Provide a tangible output identifying the determined one or more clusters of similar regularly occurring time periods for the plurality of regularly occurring time periods.

The invention provides a medium-voltage grounding fault positioning method and device, a medium and terminal equipment, and relates to the technical field of power grid fault positioning, and the positioning method comprises the steps: obtaining a time sequence traveling wave interference signal based on a historical original voltage signal, and forming a sample data set; based on the sample data set, constructing an interference signal prediction model through an evolutionary algorithm; determining a real-time line mode voltage traveling wave signal, and determining a traveling wave interference prediction signal by using an interference signal prediction model; determining a real-time pure traveling wave signal based on a difference value between the real-time line mode voltage traveling wave signal and the traveling wave interference prediction signal; determining whether a medium-voltage grounding fault occurs or not; and under the condition that the occurrence of the medium-voltage grounding fault is determined, determining the occurrence position of the medium-voltage grounding fault by using the real-time pure traveling wave signal. Through the method provided by the invention, fault traveling waves can be accurately restored, fault detection and positioning are carried out according to the fault traveling waves, the anti-interference capability of medium-voltage grounding fault detection and positioning is improved, and the accuracy of detection and positioning is improved.

The invention relates to the technical field of electronic equipment fault diagnosis, and discloses a method and a system for detecting a tablet computer docking station. The method comprises the steps of performing synchronous fusion and sequence reconstruction on real-time multi-dimensional electrical parameters through a spatial behavior feature library to form a multi-dimensional vector sequence representing the overall behavior of equipment, and performing matching with a standard mode to calculate the deviation degree. And performing cross correlation analysis on the electrical deviation degree and an event sequence extracted from a work log to generate a state grid division map, thereby positioning an abnormal source node on a parameter space and a timeline and tracking an evolution path of the abnormal source node. According to the method, correlation analysis of hardware electrical anomaly and system software events is realized, an anomaly judgment report containing a complete causal chain can be output, and the accuracy of fault traceability and root cause analysis is improved.

The invention provides a loading and unloading progress monitoring method and system based on LLM model information analysis, and relates to the technical field of information analys.The method includes the steps that semantic analysis and role behavior modeling are conducted on loading and unloading related communication content, and task site photos and text statement vectors are fused to form joint vectors; secondly, extracting task state nodes and change paths thereof under the participation of multiple parties, and performing time positioning on task states based on time clues in a context by combining with records of external equipment, so as to form a state-time evolution track of the whole process of the task; according to the method, a set of modeling framework which can be aligned with actual records of the system and identify task deviation is constructed, and the method can be used for intelligent management scenes such as delay early warning, anomaly analysis and progress visualization. The scheme has the advantages of being high in engineering applicability, low in deployment cost, extensible in model and the like, and is particularly suitable for medium and large logistics enterprise loading and unloading business scenes with complex multi-role scheduling, frequent manual interaction and incomplete data structuring.

The invention provides a video processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: extracting a plurality of key frames from a video to be processed; grouping the first textboxes contained in the key frame to obtain a plurality of textbox groups, and forming a text content set corresponding to the key frame according to the text content of the second textbox in each textbox group, marking the corresponding text content in the text content set according to the target plot element corresponding to each text content in the text content set to obtain a marked text content set, and taking the timestamp of the key frame as the target timestamp of the marked text content set, and forming plot content of the video to be processed according to the marked text content set corresponding to each key frame and the corresponding target timestamp. Therefore, the restored plot not only contains the clear plot elements, but also has the clear timeline, so that the finally presented plot content is more comprehensive.

The invention belongs to the technical field of pain assessment, and particularly relates to a multi-modal real-time intelligent pain assessment auxiliary system based on deep learning. A multi-modal data acquisition device and a two-stage consistency reasoning device; wherein the multi-modal data acquisition device is used for synchronously acquiring a face video and a near-field voice under a unified time reference, and segmenting a time axis to form a unified time slice sequence so as to output the unified time slice sequence and an anchor point set which are aligned; and the two-stage consistency reasoning device is used for executing short window scoring on each time slice to obtain a pain score and uncertainty under the constraint of the aligned unified time slice sequence and the anchor point set, completing candidate fragment confirmation on a score timeline and outputting the real-time pain score, the confidence coefficient and the starting and ending time of the confirmed pain fragment. According to the method, the evaluation stability and reliability are improved while real-time response is ensured; and by combining a double-threshold rule and anchor point neighborhood consistency verification, non-pain interference is effectively eliminated, and a pain fragment is accurately confirmed.

The present application belongs to the field of workpiece processing production scheduling, and particularly relates to a construction method of a heterogeneous workpiece system production scheduling scheme, a production scheduling method, a computer system and a computer readable storage medium. The construction method comprises: 1) selecting a workpiece to be processed currently, determining a current processing procedure of the workpiece according to a serial logical order of the processing procedure of the workpiece, and determining a decision time of the processing procedure according to a time line of the processing procedure; 2) inputting a state space corresponding to the decision time, which comprises the current processing procedure, an occupation state of each processing device and an occupation state of each processing resource, into a decision model corresponding to the workpiece to obtain a decision result for determining a processing device used for the processing procedure, and updating a time line of the processing procedure and a locking time period of the processing device and the processing resource; repeating 1)-2) until all workpieces are processed to complete the construction of the production scheduling scheme.

The process management device (200) has: a data input unit (240) that inputs various acquired information including operation data of each production device and request instruction information of a manager; a control unit (220) that, based on the operation data, arranges a work time line that indicates work time in each work process by length and a conveyance time line that indicates conveyance time in each conveyance process by slope on a work process management chart, outputs display data of the work process management chart that becomes a reference, that is, first display data, as output display data, and in a case where request instruction information for the first display data is input from the data input unit (240), outputs second display data as output display data, the second display data being display data of a work process management chart that visualizes a production status that is visualized by the first display data in a representation method of the work process management chart that is different from a representation method of the work process management chart displayed using the first display data; and a display unit (210) that displays the output display data.

Methods, systems, and devices for wireless communication are described. A first network node may transmit, to a second network node, first information that is indicative of a bandwidth capability of the first network node and a first random access message. The second network node may transmit a second random access message in response to the first random access message and via a quantity of physical resource blocks (PRBs). The second random access message may indicate a time period for transmission, by the first network node, of a third random access message responsive to the second random access message. The time period may be based on a threshold time period associated with the bandwidth capability of the first network node, and the threshold time period may be based on the quantity of PRBs via which the second random access message is transmitted.

A computer-implemented method of converting time series data of at least one operational data source of a technical system into an image, includes providing a time series data of at least one operational data source of the technical system as a series of values of successive time stamps, wherein the values of the series of values vary over time. The method further includes the steps of assigning for each of the considered time stamps of the respective time series data either a value-depending color, a value-depending brightness, a value-depending pattern or a combination thereof to an image element of the image, and sequencing the image elements along a timeline, preferably without spaces between the image elements, to form for each time series data a set of linearly arranged image elements of the image.

The invention relates to the technical field of safety management and control, and discloses an electric welding operation safety authorization management and control method based on the Internet of Things, and the method comprises the steps: collecting the operation parameters of electric welding equipment through an Internet of Things sensor network, and carrying out the abnormality recognition; performing propagation path reasoning along a physical connection and function dependency relationship edge in a map by using a pre-constructed equipment fault knowledge map and taking a component health state corresponding to the abnormal parameter as a starting point, and accumulating time delay on a path so as to deduce a potential fault chain with a clear timeline; and finally, according to the risk level and the predicted occurrence time of each node in the fault chain, the operation authority level of the operator is dynamically adjusted, quantitative prediction of the electric welding operation risk and differential authority control of the operator are realized, and the intrinsic safety level of the electric welding operation is improved from the source.

The invention discloses an event simulation display method and device of an MEMS test system and a medium. The method comprises the steps that log data are collected from at least one subsystem; performing timestamp synchronization on each log data, determining at least one event arranged along a timeline according to each log data, and generating an event sequence; determining a target event from the event sequence; and based on the user interface state model, according to the log data corresponding to the target event, reconstructing the user interface when the target event occurs, and displaying the user interface, thereby solving the problem that the isolation state of the multi-source log is not synchronous with time, automatically establishing an event causal chain, reducing the cost and error rate of manual data association, and improving the user experience. The event analysis and fault diagnosis period is shortened, the shutdown loss of equipment is reduced, the complete operation context of the target event can be restored in a visual mode, the technical threshold of system operation and maintenance is reduced, and the accuracy, usability and universality of root cause analysis are improved.

The invention discloses a contact diagram intelligent management method and system based on power grid topology. The method comprises the steps of obtaining historical electrical quantity data of each node in a power grid topology contact diagram and performing state labeling; counting the proportions of the nodes in different historical switching states, and quantitatively evaluating the influence degree of the proportions on the historical electrical quantity; constructing a switching state data set based on the switching state data set; constructing a line switching detection model based on a decision tree algorithm, and training by using the data set; acquiring real-time electric quantity data of each node, preprocessing and calculating the real-time change rate of the real-time electric quantity data; judging the real-time line switching state of each node according to the real-time change rate on the basis of a preset multi-stage state threshold value; inputting the real-time line switching state into the trained detection model, and evaluating the influence degree of the real-time line switching state on the real-time electric quantity of the node; according to the method, the multi-source collaborative acquisition technology is combined with the multi-level threshold state judgment mechanism and the decision tree model, so that the problems of monitoring blind areas and state sudden change response lag caused by a single data source are effectively solved.

The application discloses an index construction method, a data query method and related equipment, and relates to the technical field of computers. The method comprises the following steps: acquiring a timeline composed of labels of time-series data, and assigning a timeline identifier to the timeline, wherein the labels comprise label keys and label values, and the timeline is composed of label values of different label keys; determining a set of timeline identifiers corresponding to the label values, so as to obtain an identifier set of the label values; and constructing an index structure for retrieving the timeline based on the label values, the timeline identifiers and the identifier set, wherein the index structure comprises a first index layer and a second index layer, so as to create a first mapping relationship between the label values and the identifier set through the first index layer, and create a second mapping relationship between the timeline identifiers and the timelines through the second index layer. The application solves the problem in the prior art that an index cannot efficiently support multi-dimensional retrieval of timelines.

The application discloses a CLLC resonant converter soft-start method, device, equipment and medium. The method comprises the following steps: a time domain model of a converter under PWM control is established, and a nonlinear mapping relationship between a voltage gain and a duty cycle is obtained by solving; the gain is set to increase linearly with time, and a nonlinear curve of the duty cycle changing with time is back calculated; finally, two-stage control is executed: in the first stage, the duty cycle is increased to a set maximum value according to the nonlinear curve every cycle under fixed high frequency, so that the output voltage linearly rises; in the second stage, the duty cycle remains unchanged, and the switching frequency is gradually reduced to the resonant frequency. The application can completely eliminate the current peak at the starting moment, shorten the forward starting time to one-tenth of the traditional time, realize smooth establishment of the output voltage without overshoot, and effectively reduce the high-frequency requirement of the device and the system cost.

The application discloses a production line specification operation behavior intelligent detection management system. The technical scheme points of the system are as follows: the system adopts a hierarchical fusion type architecture, and comprises a data acquisition layer, a pretreatment layer, a core AI algorithm layer, a business logic layer and a data storage and output layer from top to bottom. The data acquisition layer collects production line high-definition video streams and account data; the pretreatment layer optimizes image quality and decodes; the core AI algorithm layer integrates object recognition, behavior recognition, pose estimation and multi-target tracking algorithms, and perceives employee operation behavior in all dimensions; the business logic layer realizes five-dimension compliance determination, real-time line following snapshot storage and two-hour storage data cycle; and the data storage and output layer archives data and provides monitoring, report and traceability functions. The application solves the problems of low manual evaluation efficiency, poor working condition adaptation and single supervision dimension in the prior art, realizes real-time traceable intelligent evaluation of industrial production line operation, and is suitable for fine management scenes of various industrial production lines.

Methods, apparatuses, and systems are disclosed for providing timeline information associated with physical layer signaling to reduce and / or eliminate timing delays for uplink reporting. In one example aspect, a method of wireless communication includes transmitting, by a base station, a control message to a user equipment on a first control channel, the control message triggering transmission of a channel state information (CSI) report from the user equipment to the base station on a second control channel. The method further includes transmitting, by the base station, a reference signal to the user equipment; and receiving, by the base station, the CSI report on the second control channel in accordance with timeline information associated with reception of the reference signal by the user equipment. The timeline information indicates a time-domain starting position of the transmission of the CSI report on the second control channel.

The invention relates to the technical field of machine learning, in particular to an enterprise-level AI application construction method, computer equipment and a medium, and the enterprise-level AI application construction method comprises the following steps: obtaining resource data and extracting calling records, separating types and states, comparing an action sequence with a resource number, and adjusting an action position. And dividing a time range and an area to which the action belongs, and positioning unmatched contents to obtain an AI application construction task configuration structure set. According to the method, time indexes of resource data are extracted, an action overlapping relation is established, action position deviation caused by resource conflicts is identified, sequence matching and difference separation of action contents in time slices are completed, non-intersection calling is eliminated, a scheduling structure is updated, and an action distribution range is delimited according to resource numbers and calling boundaries; the pushing action sequence and the resource use are coordinated and consistent in the timeline, and the connection continuity between the scheduling fragments and the adaptation capability between the task structures are enhanced.

This disclosure describes embodiments of systems, methods, and non-transitory computer readable storage media that utilize a large language model with user activity data to generate objective timelines for a user account. In particular, the disclosed systems can identify user activity data from a variety of electronic applications utilized by the user account to generate a user account data stream. Furthermore, the disclosed systems can utilize the user account data stream and an identified time objective to generate navigable objective timelines for the user account utilizing a large language model. For instance, the disclosed systems can utilize a large language model with one or more prompts (e.g., time expenditure prompts) generated utilizing the user activity data stream and the time objective. Indeed, the disclosed systems can utilize the large language model with the prompts to generate a navigable objective timeline based on the user activities.

The invention discloses a line loss diagnosis method based on multi-source data, diagnosis equipment, a medium and a program product, and relates to the technical field of intelligent power distribution network digital operation and maintenance. According to the invention, accurate diagnosis and abnormal positioning of the line loss of the transformer area are realized. According to the topology calculation unit division, a complex transformer area network is decomposed into manageable basic units, so that the line loss analysis is more refined. The unit theoretical line loss-load characteristic curve model established by regression fitting provides a scientific reference for anomaly detection. The theoretical line loss rate is obtained by mapping a future period load curve obtained by the prediction model, and the theoretical line loss rate is compared with the real-time line loss rate to form an anomaly detection process from macroscopic to microscopic. And accurate positioning of the abnormal unit is completed through deviation feature recognition. Fine management from the whole transformer area to a specific unit is realized, line loss management is improved from post-event statistics to an active mode of pre-event prediction and in-event intervention, and the detection efficiency and accuracy of line loss abnormity are improved.