516 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 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.

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 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 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.

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.

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.

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.

An embodiment for dynamic optimization of power consumption in storage systems is provided. The embodiment may include receiving historical time-series data from one or more components in a data center. The embodiment may also include predicting one or more workload metrics of the one or more components during a pre-defined time range. The embodiment may further include identifying one or more required resources for the one or more components to handle the predicted one or more workload metrics during the pre-defined time range. The embodiment may also include in response to determining at least one component of the one or more components does not require a resource allocation increase during the pre-defined time range, executing a first action to scale down at least one first resource during the pre-defined time range.

The invention discloses a software and hardware co-simulation field recovery method and device, equipment and a medium. Comprising the steps of defining a recording starting point and a storage time point of a simulation site; from the recording starting point to the storage time point, capturing transaction flow and causal metadata from the hardware simulation environment of the simulation site to the software test platform, and meanwhile, storing a state snapshot of the verified design in the hardware simulation environment; and when a recovery instruction is received, performing simulation field recovery based on the transaction flow, the causal metadata and the state snapshot. By defining the time range of data capture, a clear boundary is delimited for subsequent data storage, and pertinence and integrity of data records are ensured. A basis is provided for semantic reconstruction of a software test platform by capturing a transaction flow and causal metadata, a state snapshot ensures that the verified design hardware state can be accurately restored, and complete storage of recovery data on the two sides of software and hardware is achieved. And the system does not need to be restarted from the starting point during recovery, so that a redundancy initialization process is avoided, and the simulation debugging efficiency is improved.

The invention provides an interconnected chip-oriented time delay test method and system and a program product. The method comprises the following steps: acquiring a first test signal to obtain an original signal; collecting a second test signal passing through the tested chip to obtain a delay signal; the first test signal and the second test signal are associated periodic binary sequences; the period of the periodic binary sequence is greater than the time delay of the tested chip; intercepting a first intercepted signal in a preset time range from the original signal, and intercepting a second intercepted signal in the preset time range from the delay signal; the time length of the preset time range is not less than the period of the periodic binary sequence; circularly shifting the first intercepted signal or the second intercepted signal towards a set direction, and recording a corresponding target shift digit when the first intercepted signal and the second intercepted signal coincide; and determining the time delay of the tested chip according to the target shift digit. According to the invention, the accuracy of the chip time delay test can be improved.

The present disclosure relates to communication methods, a terminal, a network device and a storage medium. A method comprises: receiving first information sent by a network device, the first information being used for triggering an on-demand synchronization signal block (OD SSB) of a secondary cell (SCell); and receiving an SSB sent by the network device after a first time, the first time being the time when the terminal receives the first information, and the SSB being at least used for activating the SCell. In the method of the present disclosure, in an OD SSB-based NES scenario, an terminal can receive an SSB within an appropriate time range on the basis of the time of first information triggering an OD SSB, so as to ensure that related operations such as SCell activation can still be normally performed in the NES scenario.

The invention relates to the technical field of meter data processing, and discloses a data complementary reading method and device, a medium and a product, the data complementary reading method comprises the following steps: S1, acquiring set information of meters to be subjected to complementary reading, the meters to be subjected to complementary reading comprise meters preset in a master station system and data missing meters, the data missing meter is defined as a meter of which the data acquisition success rate is lower than a set first threshold value in a set time window before complementary reading; s2, calling a set of meters to be complementarily read, acquiring identification information of each meter to be complementarily read, and generating a corresponding complementarily read task for the missing time range in a set time window before complementarily read; s3, calling a supplementary reading task to obtain supplementary reading data; s4, checking the complementarily-read data; and S5, uploading the complementary reading data. The method is reasonable in design, comprehensive in complementary reading coverage and high in efficiency.

The invention provides a numerical model operation method and device, a storage medium and electronic equipment, and the method comprises the steps: determining a simulation result under a (k-1) th simulation subtask based on numerical model operation data; determining initial field data under the kth simulation sub-task based on the simulation result under the (k-1) th simulation sub-task; simulating the kth simulation time period according to the quantity of the allocated computing resources under the kth simulation sub-task and the initial field data to obtain a simulation result under the kth simulation sub-task; adding 1 to k, and iteratively executing and determining the quantity of allocated computing resources under the kth simulation sub-task to complete simulation of the kth simulation time period until the end moment of the kth simulation time period is the end moment of the target time range, so as to determine a target simulation result based on the simulation result under each simulation sub-task in the plurality of simulation sub-tasks. The embodiment of the invention can improve the operation efficiency of the numerical model.

A central node can: receive a query comprising at least one parameter comprising a time range of a dataset stored in a cloud storage system; transmit one or more of the query parameters comprising the time range to a metadata service; receive from the metadata service a list of files related to the query; and assign to each processing node of a plurality of processing nodes a subset of the files. Each processing node can: determine that the subset is not stored on a cache; retrieving the subset not stored on the cache from the cloud storage system; store the retrieved subset in a local memory; scan the subset stored in the local memory for data matching the at least one parameter to generate a subset of query results; and concurrently copy using a separate thread from the scanning, the subset stored in the local memory to the cache.

The invention discloses a log field anomaly analysis method and device, equipment and a storage medium. Comprising the steps of obtaining a time span log, and determining a tracking identifier corresponding to the time span log; acquiring a span log set related to the tracking identifier from a log memory; and obtaining a page index, calculating index data corresponding to each field in the span log set according to the page index, and calculating an abnormal score of each field according to the index data. By determining the tracking identifier, an accurate initial basis is provided for subsequent acquisition of a complete call link log, and pertinence and accuracy of an analysis starting point are ensured. By collecting all the logs of the same calling link, the situation that key logs are omitted due to the fact that the time range is only limited to the time range selected by the user is avoided, and the integrity of log data is guaranteed. By generating the exception score, the exception degree of the field can be quantified, the exception condition of the field is intuitively reflected, the user is helped to quickly recognize the field needing to be focused on, and the exception troubleshooting efficiency and accuracy are improved.

The invention discloses a single-photon detector post-pulse probability suppression method and system, and the method achieves the measurement of the arrival time of a detection pulse after a previous detection pulse, abandons the detection pulses in a certain time range, reduces the post-pulse probability, does not need to close a gate signal and hardware processing, and does not affect the performance of a detector. The post-pulse probability time distribution characteristics of the single-photon detector can be identified by means of a time periodic folding measurement scheme, so that the optimal suppression time window of the post-pulse probability of the single-photon detector can be reasonably adjusted according to the relationship between post-pulse probability distribution and the saturation counting rate, and the optimal detector performance is realized. The method has the characteristic of universality, is not only applied to a sine gating detector, but also can be applied to scenes such as a rectangular gating detector and a free operation detector which need to further suppress the post-pulse, and does not affect the original detection process.

The invention relates to the technical field of network access selection, in particular to an intelligent network selection method and system in a router WLAN (Wireless Local Area Network). In the method, a finite-state machine is introduced, multiple operation stages of to-be-evaluated, candidate keeping, switching verification, switching execution and freezing observation are mapped into discrete states, and a state transition path is limited through state identification and trigger conditions; the access switching must meet the condition that the continuous period score difference value is positive and exceeds the minimum retention timer constraint, the probability of short-time fluctuation triggering switching is restrained from the decision level, the verification period is limited through a timestamp and a frozen window, and the packet loss rate, the retransmission rate and the disconnection frequency in the period are subjected to period statistics. When the statistical result exceeds the upper limit of the threshold value, back-off judgment is triggered, abnormal connection is recognized and revoked within the controlled time range, the continuous communication degradation risk caused by mistaken switching is reduced, constraint is carried out in combination with a load weighted value, and stability evaluation gives consideration to historical behaviors and the future risk trend.

The invention relates to an InfluxDB time sequence data synchronization method and device based on DataX. The method comprises the steps that configuration management is carried out, and InfluxDB read plug-in parameters are defined and configured; query construction and execution: segmenting the data synchronization time range into a plurality of sub-time periods, constructing a query statement, executing query, converting a result, and sending the result to a target end; incremental synchronization: recording the synchronization progress through a check point mechanism, and determining and synchronizing incremental data; and exception processing: detecting and processing connection exception, query exception and data exception. According to the method, through time range segmentation and a check point mechanism, the data synchronization efficiency is effectively improved, and the performance bottleneck and risk caused by large data volume query are avoided; incremental synchronization is supported, the data transmission quantity is reduced, and the system burden is reduced; and an exception handling mechanism guarantees the stability and accuracy of data synchronization. The method is suitable for large-scale time series data processing scenes and can meet enterprise-level data synchronization requirements.

The invention discloses an abnormal login detection method and device, equipment and a storage medium, and relates to the technical field of network security, and the method comprises the steps: judging whether the current login time of a current login target user is within a normal login time range corresponding to the target user or not; and / or whether the current login failure times exceed an abnormal login threshold value corresponding to the target user is determined; the normal login time range is a normal login time period obtained by performing density clustering analysis on login time data in historical login data of different users by using a DBSCAN algorithm; the abnormal login threshold value is a threshold value determined by a distribution parameter obtained by performing statistical analysis on login failure times of different users in a preset time window based on historical login data; and if not, determining that the target user has an abnormal login behavior. According to the method and the device, abnormal login behaviors such as login at abnormal time by brute force cracking can be effectively identified and prevented, and meanwhile, the accuracy and the efficiency of abnormal login detection are improved.

User input is used to define different geographical locations and / or different time frames related to a plurality of events, At least one data source is queried to receive occurrence records corresponding to at least some of the plurality of events according to the different geographical locations and / or different time frames. The records having at least one field whose value matches are grouped to form at least one coincidence entity. A visual representation of the at least one coincidence entity is presented to the user.

The invention discloses a GNSS receiver rapid warm start positioning method and system, and relates to the field of satellite radio beacon positioning systems. According to the method, all visible satellite signals are searched in a relatively wide frequency and code phase range; determining a time range according to the ephemeris validity period and the time information stored before the last shutdown; sampling is carried out at regular intervals in the time range to obtain a limited number of time points, and the time points meeting conditions in the time points are found out according to signal features to serve as rough estimation time; iteratively correcting the three-dimensional position of the receiver, the time difference of the GNSS system and the clock skew of the receiver to obtain relatively accurate position and time; and the relatively accurate time is substituted into the local time of the receiver, and accurate positioning calculation is carried out by using a positioning algorithm. According to the GNSS rapid warm start positioning method and system, time assistance and a backup power supply are not needed, the size and energy consumption of a receiver are reduced, and the GNSS rapid warm start positioning method and system are suitable for various GNSS.

The invention relates to the technical field of data storage, and discloses a solid state disk temperature cycle test method based on multi-stress coupling, and the method comprises the steps: initializing a test environment; determining the temperature range of the dynamic temperature change test and the voltage range of the dynamic voltage test, and testing the operation record of the solid state disk to be tested according to the temperature range of the dynamic temperature change test and the voltage range of the dynamic voltage test; increasing the vibration frequency of the simulation environment vibration of the solid state disk to be tested in the dynamic temperature change test in which the operation test is kept within the preset time range, and executing a specific type of I / O operation mode test; sMART data, real-time power consumption and link-level bit error rate output by the I / O operation mode are recorded in real time based on the data acquisition system. According to the method, the complex environment of the solid state disk in an actual application scene is comprehensively reflected, the limitation that only single environment stress is considered in a traditional temperature cycle test is overcome, and the test comprehensiveness and accuracy are improved.

The invention discloses a model training method and a related device, which are applied to the field of artificial intelligence. According to the method provided by the invention, the change of the transaction data in the first time range relative to the transaction data in the second time range can be determined by taking the transaction data in the first time range and the second time range before and after the first time point as the sample data, and the sample data is divided into a plurality of categories; according to three dimensions of attribute extension, calculation method extension and time extension, sample features are extracted from sample data, the transaction stability of the sample features is determined, and the information value of transaction trend prediction is determined based on the category of the sample features. And training a prediction model according to the important features of which the information values meet a preset condition in the sample features and the transaction stability corresponding to the important features so as to predict the transaction trend through the prediction model. Through the above mode, the sample features cover information of multiple dimensions, so that the sample features are described more comprehensively, transaction stability is introduced, and the accuracy of the prediction model is improved.

The invention provides a video data WLAN (Wireless Local Area Network) transmission monitoring method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring data buffer time of a video sending end; performing superframe difference processing on the data buffer time and preset buffer time to obtain a buffer time difference; and sending a data retransmission loss signal to the video receiving end according to the cache time difference so as to adjust a retransmission request mode of the video sending end. Generally, video data transmission adopts a broadcast mode to send data packets, when frame number loss exists, supplementary transmission is carried out according to current buffer area data, specifically supplementary transmission is carried out in a unicast mode so as to make up the packet loss condition of opposite terminal equipment during broadcasting, and when retransmission is carried out, retransmitted fragmented packets are not received within the time range of one frame, the time range of one frame is not received. And if yes, stopping retransmission and discarding the fragmented packet so as to ensure low delay and reliability during video data transmission and further ensure the video data transmission quality.