287 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 relates to the technical field of wire net monitoring, and particularly provides a method and device for processing small wire bow abnormity, a storage medium and electronic equipment. The method can comprise the steps that in the process that a cutting machine cuts a workpiece, the real-time wire bow value of a cutting head arc line area is obtained; the real-time wire bow value is compared with a wire bow threshold value, and whether wire bow abnormity exists or not is determined; and under the condition that the wire bow is abnormal, based on the type of a cutting wire, cutting parameters for adjusting the cutting machine are obtained, so that the cutting machine automatically adjusts the cutting process through the cutting parameters, the cutting parameters comprise at least one of a pay-off quantity parameter, a take-up quantity parameter, a take-up and pay-off speed parameter and a silicon rod speed parameter of the cutting wire. According to some embodiments of the invention, accurate detection and processing of the small wire bow can be realized, and normal work of the cutting machine is guaranteed.

The embodiment of the invention discloses a power distribution network line loss clustering characteristic analysis and anomaly identification method, and relates to the technical field of power supply and distribution system operation and maintenance. The method comprises the following steps: collecting multi-time-period line loss data of a power distribution network line, and constructing a line loss calculation model; zero mean value unit variance standardization processing is adopted to balance each feature so as to avoid the situation that the clustering process is dominated due to the fact that the factor value range of some features (such as current) is large. Initial clustering center selection is carried out by introducing a periodic oscillation mutation strategy and a good point set principle, and the rationality and clustering effect of an initial clustering result are optimized. In the clustering center optimization process, dynamic adjustment is carried out in combination with an improved snow ablation algorithm, so that the convergence and accuracy of the algorithm are improved. And researching the dynamic change and distribution rule of the line loss data in time and space dimensions through space-time analysis, and carrying out anomaly identification on the line loss data based on a clustering result.

The invention discloses a time-sharing segmented line loss monitoring method and system for a distribution network, and the method comprises the steps: building and training a line loss anomaly prediction model based on historical line loss data, and obtaining the line loss anomaly prediction data and line / transformer area information in a specific time period through the line loss anomaly prediction model; the cloud platform obtains real-time line loss data of the distribution network in real time, when the real-time line loss data exceeds a theoretical line loss threshold value, the line loss abnormity prediction data is called for comparison, and if the line loss abnormity prediction data exceeds the real-time line loss data, the corresponding line / transformer area is positioned as an abnormal line loss point; and acquiring real-time monitoring data of the corresponding line / transformer area based on the line / transformer area information corresponding to the abnormal line loss point, judging whether the line loss occurring at the current moment is abnormal line loss, and if so, issuing alarm information to a processing end of the corresponding line / transformer area. The system is used for implementing the method. According to the invention, line loss abnormity judgment and line loss abnormal point positioning can be rapidly realized.

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 provides a software time synchronization implementation method of a sensor, which is applied to a scene that the sensor communicates with an SOC (System On Chip) end in a request and response mode, when the SOC end sends a request signal to the sensor, the SOC records the moment as a sensor request sending moment, and after the request signal reaches the sensor, the sensor sends the request signal to the sensor. An on-chip moment generated when recording data is obtained in a data packet obtained by the sensor, wherein the moment comprises an accumulative error caused by instability of a crystal oscillator; meanwhile, recording the response arrival time when the sensor sends the data packet to the SOC; obtaining an estimated value of the nth accumulative error by using a Kalman filtering model; according to the estimated value of the accumulative error and the on-chip moment of the nth moment, calculating to obtain a corrected sensor measurement moment; according to the invention, the time lines of the plurality of sensors and the real time line of the SOC are respectively projected, so that the time of the plurality of sensors can be corrected to the same time reference, and the time synchronization of the multi-sensor system is realized.

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 discloses an equipment remote inspection system based on edge computing, relates to the technical field of equipment monitoring, and solves the problem that equipment inspection data is generated slowly due to uneven distribution of computing power resources when a plurality of pieces of equipment execute an acquisition process synchronously. The corresponding inspection period is determined based on the confirmed data period characteristics, then the associated timeline of the corresponding equipment is determined based on the related time point of the inspection period, and the corresponding inspection time period is calibrated in the associated timeline, so that a better data characteristic confirmation effect can be effectively achieved, the subsequent inspection data processing process is facilitated, and the inspection efficiency is improved. On the basis of the computing power resources held by the corresponding inspection system, when the inspection cycle arrives, the demand resources of the corresponding associated equipment in the coincidence time period are reasonably allocated, normal generation of the inspection data in the coincidence time period can be guaranteed, and a good inspection data generation effect is achieved.

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 single-layer spherical reticulated shell steel structure construction method based on a BIM technology, relates to the technical field of steel structure construction, and aims to solve the problem that construction data cannot be obtained in time in the construction process of a single-layer spherical reticulated shell steel structure. Therefore, real-time acquisition and analysis of resource configuration, structural performance data and quality control data are optimized, quality problems in the construction process can be found and processed in time, when the risk threshold value of target real-time construction data is higher than a preset risk threshold value critical point, an early warning mechanism can be started quickly, and the early warning efficiency is improved. The construction risk is effectively prevented from being further expanded, the safety of the construction equipment in the operation process can be ensured by carrying out collision and overload detection on the construction equipment, the time line of each construction stage can be clearly displayed through the BIM technology, and project management personnel can reasonably arrange the construction sequence.

The invention particularly relates to an auditing method and system based on a large language model. The auditing method based on the large language model comprises the following steps: receiving a conference summary and an issue material document uploaded by a user, extracting text contents in the document, segmenting the text contents, and classifying segmented texts by using an issue classification model; prompt cue words are set according to the type of the issue, and key information in the issue is extracted by using the trained large language model and stored in a database; performing normalization processing on the issue information, and displaying specific contents of each item, decision and problem according to time nodes; existing problems and risks are intelligently examined according to the subject content and the subject type, and suggestions are given. According to the auditing method and system based on the large language model, a large number of auditing documents can be quickly processed, potential risk points and compliance problems can be accurately identified, and an auditing tracking timeline is automatically generated, so that the efficiency and accuracy of auditing work are greatly improved.

The present application relates to the technical field of computers, and discloses a modeling method and apparatus for nodes in a multivariate heterogeneous computing system, a device, and a medium. The method comprises: using test data to carry out performance test on heterogeneous computing nodes in a multivariate heterogeneous computing system to obtain test result data, and extracting training data from the test result data, the training data comprising a training task feature, an operator feature, and the computing consumed time of computing operators; and constructing an initial model corresponding to each heterogeneous computing node, and using the training data to train the initial model to obtain a corresponding heterogeneous computing node model, so that according to feature parameters corresponding to a training task to be predicted, the heterogeneous computing node model simulates a training time line of an operator level when the heterogeneous computing node operates said training task. The present application can reduce costs and accurately predict a working time line of an operator level.

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.

To visually display the manufacturing statuses of products manufactured through a plurality of manufacturing processes in order and changes of process characteristic factors caused in the manufacturing processes, a visualization system according to an embodiment stores manufacturing log information including start times and end times of manufacturing processes of products grouped in manufacturing units and manufactured through a plurality of manufacturing processes in order, and chronological history information of process characteristic factors corresponding to factors affecting quality characteristics in the manufacturing processes. A time axis for the process characteristic factors in synchronization with the time course of the manufacturing log information is created, and a display object representing a state or a change of each of the process characteristic factors is created based on the chronological history information and placed on the time axis to create a timeline object of each of the process characteristic factors. A process characteristic factor timeline screen including the timeline objects of the respective process characteristic factors arranged in parallel is displayed on a display apparatus.

According to various embodiments, time-varying data describing aspects of a user's life may be collected from a plurality of sources and displayed in a unified timeline. The timeline may present such data from disparate sources within a common time-based framework. The timeline may be interactive, allowing the user to manipulate the timeline display, by for example moving a playhead along an axis; the data display may be automatically updated to show data for the time period associated with the position of the playhead. In various embodiments, data connections with disparate sources may be established, so as to allow the collection, manipulation, display, and secure storage of multiple types of data from multiple sources, wherein such display is unified, interactive, and well-adapted to facilitate comparison of data from the multiple sources.

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.

The present application discloses a method and device for processing clipping materials, a storage medium and an electronic device. The method includes: obtaining a group of material files, wherein one material file in the group of material files includes media information of a clipping material shot from a target camera position; decoding a group of material files for the first time to obtain a group of audio data corresponding to the group of material files; determining a group of time codes corresponding to the group of material files based on the group of audio data, wherein a time code is used to reference and synchronize a group of material files during video editing; determining the starting position and ending position of a group of clips in a preset clipping track based on a group of time codes; arranging a group of clips on a preset clipping track in the timeline area of ​​a target editing tool based on the starting position and the ending position. The present application solves the technical problem of low efficiency in the processing of clipping materials in the related art.

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.

A collaborative allocation method for computing resources and link resources in a satellite-ground network comprises the steps that firstly, a timeline is divided into a plurality of time periods, a directed graph model is constructed in each time period, nodes are low-orbit satellites and ground stations, and sides represent communication links; step 2, defining the weight of the edge as the link bandwidth, and searching the shortest path from the source point to the destination; and calculating the weight of the path again and updating the shortest path by considering the calculation capability of the node. And allocating the bandwidth and computing resources on the path, and updating the remaining resources. The process is cyclically executed until resources are used up or no available path exists. And step 3, path searching and resource allocation are carried out on the satellite-ground network in each time period, and resource allocation on the whole timeline is ensured. According to the method, the multi-task transmission requirement, the satellite computing power and the link capacity limitation are comprehensively considered, and the data processing and transmission throughput of the satellite-ground network is remarkably improved.

The invention discloses a power transmission project line channel lightning positioning method, system and device and a medium, and the method comprises the steps: carrying out the lightning monitoring analysis of a power transmission project line channel, and carrying out the collection and analysis of the lightning parameters of a sub-channel in each detection time period through a time period division and road section division mode; therefore, the thunder threat degree and the thunder threat frequency of the sub-channel in the detection time period are analyzed through the thunder coefficient, the thunder characteristics can be analyzed according to the timeline and the power transmission line, and the thunder monitoring result accuracy is improved.

The invention provides a multi-document abstract generation system and method based on event orientation, and relates to the field of natural language processing. Generating a document set in the target multi-document information through a Spacy module and generating encoder representation; the simple loop unit generates a simple loop unit output according to the encoder representation; the multi-layer perceptron obtains the output of the simple cycle unit and generates a probability distribution result; a graph-based encoder obtains simple loop unit output and a probability distribution result as node features to generate final event representation; a timeline analysis module generates a local value and constructs a time-event key value memory network according to the final event representation as a global value; the timeline analysis module determines output text according to the time-event key value memory network. And an abstract which is more accurate and clear and contains rich timeline information is generated.

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.

Methods, systems, and devices for wireless communications are described. In some systems, a base station may update its channel state information (CSI) on a sidelink between a first user equipment (UE) and one or more second UEs aperiodically using control information to trigger the CSI reporting process. The aperiodic CSI process may include the base station transmitting a timing requirement and control information to a UE. The control information contains a CSI request may be received and decoded at the UE. According to the CSI request, the first UE may transmit a reference signal on the sidelink for the second UE(s) to measure. The UE(s) may generate and transmit a CSI report on the sidelink to first UE, and the first UE may aggregate the received CSI report(s) and transmit them to the base station within the time period specified by the timing requirement received in the control information.

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.