743 results about "Time range" patented technology

The invention relates to the technical field of information, in particular to an error compensation method for multi-axis linkage machining of a mold blank hole system, which comprises the following steps: judging the time range of a tool changing window based on an error accumulation trend, if error accumulation reaches a preset threshold value, triggering a compensation action, otherwise, continuously monitoring error change; aiming at the complexity of a motion track, a nonlinear optimization algorithm is adopted, an execution path of a compensation action is optimized, and conflicts with a processing action are reduced; according to the optimized compensation path, the control parameters of the servo motor are adjusted in real time, and it is ensured that the compensation action is stably executed in the machining process; dynamically updating an error model through data of a main shaft temperature sensor and a tool wear monitoring device, and continuously optimizing a time point and an execution path of a compensation action; in the machining process, the error accumulation condition is monitored in real time, if the error exceeds the preset range, the compensation action is triggered again, and the machining precision is ensured.

The embodiment of the invention discloses an optical module health state detection method and device, a storage medium and a program product. The method comprises the following steps: extracting time sequence features from time sequence data of an optical module, and extracting key features from system log data of the optical module; fusing the time sequence features and the key features based on the constructed hybrid model, and generating fused features to obtain a current health degree score of the optical module; collecting a historical health degree score of the optical module in a preset time range; detecting at least one environmental parameter of the environment where the optical module is located; obtaining a dynamic threshold value of the optical module based on the historical health degree score and the environmental parameters; and judging the health state of the optical module based on the relationship between the current health degree score and the dynamic threshold. According to the method, the health state of the optical module can be comprehensively, accurately and efficiently evaluated based on multi-dimensional data features, powerful support is provided for operation and maintenance management of the optical module, and the method is of great significance in guaranteeing service continuity and reducing operation and maintenance cost.

The invention relates to the technical field of PLC control, in particular to a PLC control method and system for an automatic mixing production line, and the method comprises the steps: collecting the rotating speed data and vibration data of a stirring motor of a mixing machine of the automatic mixing production line in real time; acquiring a time range for analyzing the fault condition of the speed sensor; determining a correlation degree between the rotating speed data and the vibration data in the time range; determining the fluctuation rule degree of the rotating speed data in the time range based on the time interval between the response time periods with similar response intensities and the difference of the fluctuation condition of the vibration data between the response time periods in combination with the correlation degree; the abnormal degree is determined; and detecting the fault condition of the speed sensor in the process of controlling the rotating speed of the stirring motor by the PLC of the automatic mixing production line. The invention aims to improve the accuracy of fault detection of the speed sensor in the process of controlling the rotating speed of the stirring motor by the PLC of the automatic mixing production line.

The invention discloses a bidirectional trusted identity authentication method and system based on an offline file, and particularly relates to the technical field of authentication, comprising the steps of evaluating the randomness of a key based on the entropy value of the calculated key, analyzing key entropies at different time points, obtaining random data, and obtaining the random data based on the error rate occurring in the calculation transmission process. The method comprises the following steps: indirectly evaluating the validity and security of encrypted transmission, acquiring intensity data, quantifying the security of bidirectional trusted identity verification in a multi-point transmission scene within a time range, generating similar data based on comparing historical data of a receiving node with characteristics of a current transmission file, analyzing response time of a transmission process, generating performance data, and performing encryption and decryption on the received data. According to the method, the credibility of the transmission process is evaluated, quantitative results of the safety and the credibility in the transmission process serve as input of a neural network, a model is trained to predict potential abnormal conditions, and the method is beneficial to ensuring that the identities of the two parties are credible in the transmission process and carrying out timely early warning.

The invention discloses a mass data display method, device and equipment based on a browser client side and a medium, relates to the technical field of computers, is applied to a server side and comprises the steps that a data obtaining request sent by the browser client side is obtained; the data acquisition request carries a request time range and a target sampling frequency; obtaining original time sequence data in the request time range from a preset time sequence database, and determining the size of a sampling window based on the data frequency of the original time sequence data and the target sampling frequency; the data frequency is greater than the target sampling frequency; grouping the original time series data based on the size of the sampling window so as to obtain a plurality of data windows, and extracting a target feature point for representing data trend change in each data window; and merging the target feature points of the data windows to obtain a downsampled data sequence, and sending the data sequence to a browser client for display. According to the method and the device, effective visual display of mass data on the browser client can be realized.

This application discloses a memory error prediction method and apparatus, and a device. After memory error data is obtained, a prediction area affected by a memory error and a time range in which the memory error occurs in the prediction area are determined based on time and space information that reflects the memory error and a memory physical structure. In this way, a location at which the error occurs in the memory and time at which the error occurs in the memory are determined based on the memory error data, and a potential risk area affected by the memory error and a time range in which the error occurs in the potential risk area are deeply analyzed from a perspective of a hardware structure with reference to the connection relationship that is between the memory cells and that is indicated by the memory physical structure.

The invention provides a tidal computing power scheduling method and system, electronic equipment and a storage medium, and aims to solve the problem of edge computing task abnormal risk caused by tidal computing power change, and the method comprises the following steps: establishing an edge computing power resource pool, obtaining resource information of computing power nodes in each computing power domain, and calculating computing power values of the computing power nodes to obtain an edge computing power resource pool; storing in an edge computing power resource pool; performing time-varying feature division on the computing power nodes in the resource pool to determine tide computing power nodes in the resource pool and corresponding tide periods; receiving service request information of a computing power demand side, calculating the magnitude of the required computing power, and pre-estimating the duration required for completing a computing power task; the computing power value of the computing power node is larger than the computing power needed by the task, and the computing power node does not coincide with the tidal time period within the time range covered by the task duration. The computing power node serves as a target computing power node. According to the method, the resource occupation peak value of the computing power node can be avoided during computing power distribution, and the computing power demand can be matched more reasonably.

The embodiment of the invention provides an attack traceability path determination method and device, equipment, a storage medium and a product, and the method comprises the steps: obtaining communication behavior data of lost equipment in a lost time range; for the communication behavior data of each network device, if the communication behavior data exceeds the standard range of the communication behavior baseline, the probability that each network device is an attack address is calculated, and if the probability that any network device is an attack address exceeds a malicious probability threshold, according to the communication behavior data, the malicious probability is determined; constructing a communication behavior graph and iteratively executing the following steps: calculating the probability that each IP address of communication is an attack address according to historical communication data of any network equipment; if the malicious probability exceeds the malicious probability threshold, adding any IP address into the communication behavior graph; if the probabilities that all the IP addresses communicating with any network device are attack addresses are not exceeded, ending the iteration process; and determining an attack traceability path based on the determined communication behavior graph. The method is used for achieving the effect of restoring the multi-level attack path.

The invention provides a nuclear power intelligent isolation lock system data processing method and device based on the Internet of Things, and the method comprises the steps: obtaining the monitoring data implicit representation of the nuclear power isolation lock Internet of Things monitoring data and the diagnosis report implicit representation of the abnormality diagnosis report based on the obtained nuclear power isolation lock Internet of Things monitoring data and the corresponding abnormality diagnosis report; the abnormal information can be automatically determined, and the abnormal information diagnosis speed is increased. And the abnormal prior mark is determined based on the data of different dimensions, so that the reliability of the target abnormal prior mark is higher. The invention further provides an intelligent isolation lock system applying the method, the system sets the operation authority for the user and limits the time range of the key authority through dual means of task authorization and equipment consistency verification, and the accuracy of an implementation object is ensured; an operator of the system can monitor the equipment isolation condition on the electronic working platform in real time, operation content can be updated in time, it is ensured that the isolation process is traceable, operation records are stored, and it is ensured that the operation records can be inquired subsequently.

The invention discloses an automatic scoring and optimizing method for experimental steps based on image recognition, which comprises the following steps of: dividing a plurality of steps of an experimental process into a front step set and a sequential step set according to a sequential relationship, extracting characteristic actions of experimenters, and respectively comparing the characteristic actions with specified actions in the front steps and the sequential steps, so as to improve the scoring accuracy of the experimenters. Scoring is performed according to whether the characteristic action accords with the specified action or not to ensure that the operation of an experimenter accords with the specification, and when the characteristic action accords with the specified action, further dynamic scoring is performed according to the time range and the sequence relation of the action, so that the recognition capability of complex experiment operation can be improved through staged judgment; according to the method, the accuracy of scoring is guaranteed, the fineness and the accuracy of scoring are guaranteed, a plurality of steps can be accurately monitored, omission or misoperation is prevented, and the fault tolerance and the adaptability of scoring are improved.

The invention discloses a vehicle fault file distributed uploading method and device, equipment and a medium. The method comprises the following steps: receiving a fault signal of a target vehicle through a remote information processing control unit, and extracting a part fault code and fault occurrence time according to the fault signal; collecting working condition data within a specified time range of fault occurrence time and generating a fault file; the method comprises the following steps: dividing a fault file into a plurality of sub-files according to the size of the fault file and the transmission capability of an SIM card, naming each sub-file according to a subpackage sequence, carrying out compression processing on each sub-file by adopting a compression algorithm, and sequentially uploading each compressed file to an Internet of Vehicles platform according to a sequence of file serial numbers in file names from small to large. According to the embodiment of the invention, each sub-file is named, compressed and uploaded by adopting a file subpackage strategy, so that the problem of large file transmission is solved, and the transmission efficiency is optimized; and special characters are added in the last sub-file, so that the integrity and accuracy of the fault file are ensured.

The embodiments of the present application provide an information indication method. The information indication method includes: receiving by a terminal device, an indication for time information from a network device, where a time range corresponding to the time information is configured by the network device.

The invention discloses a cable latent fault positioning and constant value optimization method under the influence of multi-line signals. The method comprises the following steps: S1, carrying out automatic equipment configuration; s2, acquiring a data list from dispatching automation and power distribution automation; and S3, analyzing the obtained data list, and carrying out threshold comparison by using a sampling point instead of an effective value through a setting method for minimizing an instantaneous zero sequence overcurrent threshold and cloud edge cooperative equipment to find an earlier cable latent defect. According to the cable latent fault positioning and fixed value optimization method under the influence of the multi-line signals, the instantaneous zero sequence and grounding signals based on dispatching automation and power distribution automation are used as triggering conditions, and the signals within a certain time range are collected; and analyzing automatic zero-sequence alarm signals and corresponding waveforms of all distribution network outgoing lines under the same bus of the same transformer substation where the trigger signals are located, positioning defect positions, and quantifying risk levels.

A system generates a user interface that enables a user to modify time ranges associated with search-related statements of a data processing package. Via one or more user interactions with the user interface, the system may receive a modified time range for the statement. The modified time range may be appended to the data processing package to form an enriched data processing package. The system may communicate the enriched data processing package to a search service for execution. The system may display the results in the user interface.

The invention provides a radon gas detection method and device, electronic equipment and a storage medium. The method comprises the following steps: collecting a plurality of first electric signals from electric signals flowing through a comparator according to a preset time interval in a target time range; in response to the received interrupt signal from the comparator, determining a second electric signal corresponding to the occurrence moment of the interrupt signal from the plurality of first electric signals; determining a first noise value according to the plurality of third electric signals; the first range value is compensated according to the first noise value, a second range value is determined, the first range value is used for representing a signal peak range of particles corresponding to radon in a noise elimination state, and the plurality of third electric signals are signals different from the second electric signals in the plurality of first electric signals; determining a fourth electric signal whose signal peak value satisfies a second range value from the second electric signals; and determining the concentration value of the radon gas according to the number of the fourth electric signals. The accuracy of radon gas concentration detection can be improved.

An example method of message routing includes: receiving a request to send a message to a specified user of a plurality of users of a communication services platform; providing a user profile of the specified user to a send time optimization model, wherein the user profile characterizes actions of one or more predefined action types that were performed by the specified user in response to receiving previous communications; identifying, based on the output of the send time optimization model, a preferred time range for communicating with the specified user; and causing, within the preferred time range, a message to be sent to the specified user.

The invention discloses a part machining error detection method based on machine vision, and relates to the technical field of part machining detection. According to the method, the part machining process is subjected to stage division, and the time data of each stage is acquired, so that each stage is ensured to be completed within a reasonable time range, and the quality problem caused by too long time is avoided. Meanwhile, the method also combines a plurality of steps of image acquisition, image preprocessing, feature extraction, error detection and the like so as to comprehensively evaluate the processing quality of the parts. In the aspects of feature extraction and error detection, the method adopts an advanced algorithm model, can accurately identify different types of errors such as size errors, deformation errors and surface flaws of parts, and calculates the severity and comprehensive evaluation coefficients of the errors. Finally, the method also provides effective quality control and fault early warning means for manufacturing enterprises through the steps of result output, troubleshooting, unqualified part analysis and the like.

The invention discloses a data analysis method and system based on communication security situation awareness, and relates to the technical field of network equipment data management. Vulnerability features of network equipment vulnerabilities are collected from operation and maintenance records of a communication system, and a time sequence operation feature sequence of each piece of network equipment in a time range is obtained; the method comprises the following steps: capturing a spatial relationship of network devices in a communication system through an attention mechanism, carrying out weighted fusion on time sequence features and the spatial relationship in the communication system to obtain a risk matrix of all network devices in the communication system, extracting risk feature vectors of the network devices from the risk matrix, and calculating the risk feature vectors of the network devices; the method comprises the following steps: obtaining threat scores of corresponding network devices through dimensionality compression and linear mapping, calculating risk assessment values of various vulnerabilities of all network devices, and providing related vulnerability information of the network devices for managers of a communication system according to a descending order of the risk assessment values.

To provide a technology to accurately identify abnormal sound.SOLUTION: A computer included in a vehicle abnormal sound diagnosis system acquires sound spectral data for a vehicle and vehicle data that describes a vehicle driving state. The computer receives user input in an evaluation time range for the sound spectral data. The computer sets a first time range before the evaluation time range and a second time range after the evaluation time range to the sound spectral data. The computer identifies as a candidate frequency bandwidth a frequency bandwidth in which a secular change in a sound pressure level does not correspond to a secular change in the vehicle driving state. The computer identifies as an abnormal sound frequency bandwidth the candidate frequency bandwidth including a frequency in which a projection amount of the sound pressure level in the evaluation time range relative to the first time range and the second time range satisfies a predetermined reference, from among the candidate frequency bandwidths.SELECTED DRAWING: Figure 2

The present disclosure provides a method for positioning a terminal, a terminal, a base station and an LMF and relates to the technical field of wireless communications. The terminal performs ATA and / or AFA according to notification signaling transmitted by a network-side device, wherein the notification signaling includes indication information for indicating the terminal to perform the ATA and / or AFA; and transmits time information of the ATA and / or AFA performed by the terminal, wherein the time information of the ATA and / or AFA is used to determine a position of the terminal. By adopting the above method, the LMF may determine the position of the terminal according to each positioning measurement obtained within a time range between two adjacent ATA and / or AFA performed by the terminal, so the accuracy of positioning the terminal is improved.

The invention discloses an operation fault early warning method, device and equipment of a power station communication system and a medium, and relates to the technical field of operation fault early warning of the power station communication system.The operation fault early warning method of the power station communication system comprises the steps that monitoring data are periodically obtained from a plurality of communication subsystems of the power station communication system; the monitoring data are input into a preset health value detection model, a system health value is obtained, and the health value detection model is a stack type auto-encoder model and is obtained through pre-training; and inputting a sequence formed by the system health value and the monitoring data along with time change into a preset fault prediction model to predict a probability value of a fault of the power station communication system within a preset time range, and triggering early warning signals of different grades based on the probability value, the fault prediction model is a long-short-term memory model and is obtained through pre-training. According to the invention, integrated health degree evaluation and fault early warning can be carried out on the power station communication system.

The invention relates to the technical field of centrifugal machine control, in particular to a lower discharging centrifugal machine control method and system based on a PLC, and the method comprises the steps: obtaining a flow time sequence and a concentration time sequence of a material at a feeding valve in a feeding stage, and a power time sequence of a main motor of a centrifugal machine; obtaining a first characteristic value and a second characteristic value of the control moment by combining a correlation and an average trend of a flow time sequence and a concentration time sequence in a change trend in a time range corresponding to any control moment and a previous control moment, and a periodic fluctuation characteristic of a power time sequence; and a proportion parameter value is obtained by combining the first characteristic value and the second characteristic value, so that the rotating speed of a main motor of the lower discharging centrifugal machine is controlled at the corresponding control moment. The control effect on the main motor of the lower discharging centrifugal machine is improved, and therefore the filtering effect on materials is improved.

A method of power management of a hybrid power plant. Before a predefined time range, generating a power generation schedule on the basis of forecasts parameters, obtaining the user and / or the power conversion equipment a power supply schedule defining a power to be supplied to the electrical grid, the user and / or the power conversion equipment during the predefined time period and of determining a power injection schedule of the power plant defining a power supply of the power plant during the predefined time range on the basis of the power generation schedule and of the power supply schedule. During the predefined time range, supplying the power of the power plant to electrical grid and / or to the user on the basis of the power supply schedule and supplying a surplus power of the plant to the electrical grid, the user, the energy storage system and / or the power conversion equipment.

The invention relates to a vulnerability mining method and device of an industrial control protocol, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring a historical asynchronous event of a node, calculating a time difference value between a preset time point and a completion time point of the historical asynchronous event, taking a node corresponding to the time difference value not within a preset duration range as a conflict node, taking a current moment state of the conflict node as a state interaction starting point, and performing state interaction on the conflict node; respectively constructing an original state path and a conflict path, and generating a fusion structure chart; and extracting dependency field information in the fusion structure chart, comparing the dependency field information of the state nodes to obtain the state nodes with differences, calculating the response interval duration of each state node according to the execution starting time and the achievement time of the state nodes, and generating an abnormal response time sequence fragment set under the condition that a sudden change phenomenon exists. By adopting the method, the accuracy of vulnerability mining can be improved.

A random access signal transmission method, a terminal, and a non-transitory computer-readable storage medium are provided. The random access signal transmission method includes: determining a target time range according to a time domain position of a target downlink signal within a fixed frame period; and determining a Random Access Channel (RACH) occasion intersected with the target time range within the fixed frame period as an invalid RACH occasion according to configuration information of the fixed frame period and configuration information of the RACH occasion.

Embodiments of the present disclosure provide a message processing method, a cloud platform, a computing device, a computer readable storage medium, and a computer program product. The method comprises: acquiring a first timed message; on the basis of a current delay time of the first timed message, searching for a first storage file corresponding to a first time dimension to which the current delay time belongs, wherein the current delay time refers to a delay processing time of the first timed message relative to a current time point, and a plurality of mutually independent storage files are correspondingly set for each level of time dimension; and writing the first timed message into the first storage file. On the basis of the current delay time of the first timed message, the first storage file is searched for in the order of levels of time dimensions from low to high, so as to store timed messages according to time dimensions and expand the time range for storing the timed messages; and by writing the first timed message into the first storage file, the timed messages can be sequentially read on the basis of storage files, thereby improving the delivery efficiency of the timed messages.

Embodiments of the invention provide a data processing method and apparatus, a device and a storage medium. The method comprises the steps of determining a type corresponding to target data and a read-write request for performing read-write processing on the target data in a master-slave database and a cache; according to the type corresponding to the target data and the read-write request, determining read-write paths for executing the read-write request under different types; performing first read-write processing on the target data according to the first read-write path to obtain a first processing result that the target data is consistent in a master-slave database and a cache after a certain time interval; and performing second read-write processing on the target data according to the second read-write path to obtain a second processing result that the target data is consistent in the master-slave database and the cache within any time. According to the embodiment of the invention, a proper read-write path can be selected according to different data types, so that the consistency of the data is ensured in different time ranges, the risk caused by data inconsistency is reduced, and the reliability of the system is improved.

Systems and methods relate to display of insights, including a method including: causing a user display to display a graphical user interface (GUI) that enables a user to select a time range and a single digital display as a locale; and causing, based on the user selecting the time range and the single digital display as the locale, the user display to display, on the GUI, a list of a plurality of media content that have been displayed on the single digital display, each of the plurality of media content being ordered according to analysis insight for the single digital display selected and the time range selected. The analysis insight may include at least opportunity to see (OTS) counts of the plurality of media content on one or more digital displays associated with the locale.

The invention provides a high and low temperature data processing method for a storage device, and the method comprises the steps: recognizing a temperature difference between a write-in temperature associated with LBA corresponding data in an LBA space and a current temperature in a background inspection task; when the LBA of which the temperature difference between the write-in temperature associated with the data and the current temperature is greater than a preset threshold value is identified, moving effective data in a physical block or a large block where the data corresponding to the LBA is located to other idle physical blocks or large blocks; and recording a current temperature as a write temperature associated with the migrated valid data in the idle physical block or large block in association with the migrated valid data. According to the method, the existence of the error data can be recognized and corrected in advance through background inspection, so that the error processing process is initiated in advance, and the error processing delay is dispersed in a larger time range to inhibit the read data performance jitter, ensure the error processing efficiency and reduce the probability that a user perceives the read data performance jitter.

The invention relates to the technical field of Internet, in particular to a message pushing control method and device, electronic equipment and a storage medium, and aims to improve the accuracy of message pushing frequency control. The method comprises the following steps: acquiring an optional frequency interval when message pushing is carried out on each object in a to-be-pushed object set within a specified pushing time range, and acquiring a pushing total frequency upper limit corresponding to the object set; for each object, predicting a push evaluation value of the object under each selectable frequency in the selectable frequency interval according to business operation data of the object in a historical time range before the push time range; according to each push evaluation value corresponding to each object and a push total frequency upper limit, determining a target selectable frequency corresponding to each object from the selectable frequency interval; and for each object, carrying out message pushing on the object based on the target selectable frequency corresponding to the object within the pushing time range so as to realize personalized frequency control on each object.