337 results about "Time range" patented technology

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 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.

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.

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.

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 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 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 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 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 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.

The invention provides a numerical mode operation method and device, a storage medium and electronic equipment, and the method comprises the steps: obtaining an inner-layer simulation region initial field at a first report starting time, and obtaining an inner-layer simulation region boundary field of each report starting time in a plurality of report starting times including the first report starting time in a corresponding prediction time range, the report starting time except the first report starting time in the plurality of report starting time is earlier than the first report starting time; carrying out boundary data fusion on the boundary field of the inner-layer simulation area within the corresponding forecasting time range at each report starting time to obtain a fused boundary field; and performing numerical simulation on the inner-layer simulation area based on the initial field and the fusion boundary field of the inner-layer simulation area under the first report starting time to obtain a numerical simulation result of the inner-layer simulation area in the target forecast time range. According to the embodiment of the invention, the accuracy of the numerical simulation result can be improved under the condition of ensuring that service requirements are met.

Embodiments herein relate to, for example, a method performed by a receiving device (110) for handling communication in a communication network. The receiving device (110) receives from a transmitting device (120), a request for transmission feedback, the request indicating a number of transmissions for which transmission feedback is requested, and / or a time range associated with transmissions for which transmission feedback is requested. The receiving device (110) further transmits a feedback message to the transmitting device, wherein the feedback message comprises transmission feedback for one or more transmissions, and wherein the feedback message conveys one or more of a time, a frequency, a slot and a symbol pertaining to at least one transmission of the one or more transmissions and / or conveys a number of transmissions associated with the requested time range.

The utility model provides a lightweight crane hoisting mechanism, which relates to the technical field of crane hoisting, and comprises a mounting plate, a fixing plate, a winding drum, a brake, a circular ring support shell, a driving roller, a driving assembly, an electromagnetic clutch, a detection assembly and a controller, after the steel wire rope is jammed, the device can quickly detect that the rotating speed of the winding drum is reduced through the detection assembly, and if the rotating speed of the winding drum cannot be recovered within a specified time range, the controller controls the electromagnetic clutch to be powered off, so that the driving roller and the winding drum are instantaneously disconnected; meanwhile, the brake immediately brakes to prevent the heavy object from falling, and the maintenance and replacement process of the steel wire rope and the winding drum can be carried out after the heavy object is transferred away through standby hoisting equipment, so that the service life of the driving assembly is prolonged, and the potential safety hazard of breakage of the steel wire rope is reduced to the minimum; according to the design, the hoisting mechanism of the crane can be automatically protected, so that the operation process of the hoisting mechanism of the crane is better.

This application discloses an islanding detection method and apparatus. The method includes: monitoring the AC frequency of an inverter, which fluctuates within a preset range when the inverter is in normal control mode; when the instantaneous offset value of the AC frequency exceeds the preset range, the frequency before the instantaneous offset is taken as the first frequency; if the frequency in the first frequency data within a first preset time range is only greater than or only less than the first frequency, the AC frequency at the end of the first preset time is taken as the second frequency; continuously adjusting the output power of the inverter based on the change of the current AC frequency; and when the frequency in the second frequency data within a second preset time range is only greater than or only less than the second frequency, the inverter can be promptly instructed to report the islanding status. By using a two-step judgment method, the method distinguishes between islanding and normal load switching, avoiding the inverter actively adjusting the system voltage or frequency and improving the accuracy of islanding detection.

The present application relates to the technical field of product warehouse dynamic cleaning, and particularly relates to a product warehouse customized dynamic cleaning implementation method and system.The implementation method comprises the following steps: a business layer is responsible for scene logic implementation, and has a system type, an environment and a time range set by a user;S2: setting a cleaning rule, adopting a time priority scheduling algorithm, arranging a cleaning task execution order according to a task execution priority and a current product warehouse load state;S3: an execution layer is responsible for screening out products needing to be cleaned in a logic layer, and performing product cleaning by calling a system level command.The present application realizes accurate product warehouse cleaning, maximizes storage space release, reduces operation and maintenance costs, and improves product warehouse storage efficiency and service stability on the premise of guaranteeing core product safety.

The application discloses an optimization method and a terminal for improving thread execution efficiency, and comprises the following steps: controlling each thread to acquire data for processing; after a preset time length, monitoring and acquiring the residual data amount of each thread; sorting the threads according to the residual data amount of each thread, and migrating and balancing the residual data amount of each thread according to the sorting result. The application monitors the residual data amount in the thread every certain time length, thereby reflecting the data processing efficiency of each thread, and sorts the threads according to the residual data amount, and performs data migration between the threads sorted in the front and the threads sorted in the rear, so that the residual data amount of each thread is dynamically regulated and controlled to ensure that the thread with high processing speed can process more data, and finally, the threads are all ended within a consistent time range, the processing efficiency of the whole thread is improved, and the system performance is improved.

The invention provides an intelligent reminding task creating method and device, electronic equipment and a storage medium, and belongs to the technical field of communication. The method comprises the steps that first event information and first time information are extracted from a user dialogue, and a pre-created first reminding task is determined; determining a corresponding first event type and a first preset dynamic time threshold according to the first event information; determining a conflict detection time range according to the first time information and a first preset dynamic time threshold; if the created second reminding task does not exist in the conflict detection time range, creating a pre-created first reminding task; if the created second reminding task exists, judging that the pre-created first reminding task conflicts with the second reminding task; and determining target prompt suggestion information based on a judgment result of the conflict between the pre-created first prompt task and the second prompt task. According to the intelligent reminding task creation method and device, the electronic equipment and the storage medium provided by the invention, the reasonability of task arrangement can be improved.

The present disclosure relates to a log processing method and device and electronic equipment, and relates to the technical field of data processing. The method comprises: receiving target log label information and an execution statement input by a user, the execution statement comprising a first execution statement and a second execution statement; determining a log block indicated by the target log label information in an index list, and performing concurrent query processing on multiple log blocks by using the first execution statement to obtain multiple query results of the multiple log blocks, the log block being a log set in a same time range, and different log blocks corresponding to different log indexes in the index list; and performing aggregation processing on the multiple query results by using the second execution statement, and sending an aggregation result to the user. Through the scheme of the present disclosure, the workload of log processing can be reduced, and the consumption of a central processing unit and storage space can be reduced.

The application discloses a data management method, which comprises the following steps: determining original data and a first index corresponding to the original data; filtering the original data to obtain sampling data, and determining a second index corresponding to the sampling data; in response to the first index and the original data being deleted, determining a third index associated with the second index based on the first index, the third index matching the first index, so that the sampling data corresponding to the third index is output when data is queried based on the first index. The application also discloses a data management device, an electronic device and a computer readable storage medium. In the foregoing manner, the application fills the data vacancy of the deleted original data with the sampling data, which is simple, convenient and fast, and can expand the time range of the retained monitoring data without affecting the normal query and use of the data.

The present disclosure provides an interface access processing method and apparatus, a computer device and a storage medium, and the method includes: acquiring target access behavior sequences of an access party within a first specified time range, the target access behavior sequences including an access action behavior sequence and an access time interval sequence; calling an identification model for prediction processing to obtain an identification result based on the access action sequence and the access time interval sequence, the identification result being used for representing a classification probability that the access party has abnormal behaviors; and controlling an interface access request within a second specified time range of the access party according to the identification result, a start time of the second specified time range being later than an end time of the first specified time range.

The invention provides a data caching method, a data caching system, equipment and a storage medium. The data caching system creates N data storage chain tables, each data storage chain table corresponds to cached data of one identity label, and each data storage chain table comprises a plurality of continuous data segments which are arranged according to a time sequence, each data segment comprises cache data of a time period and metadata used for representing cache data characteristics of the time period, the cache data characteristics comprise a cache time range, and N is an integer greater than or equal to 1; the method comprises the following steps: receiving a query request, wherein the query request comprises an identity label and a query time range; and responding to the query request based on the N data storage chain tables. According to the method and the device, the data storage chain table corresponding to the identity label is created to cache the plurality of continuous data segments which are arranged according to the time sequence, so that the data acquisition efficiency can be improved.

Example embodiments of the present disclosure are directed to buffer size calculation. A method comprises receiving, from a second apparatus, configuration information indicating a plurality of reporting thresholds of remaining time; and transmitting, to the second apparatus, the status report comprising a plurality of entries, each entry comprising a first field indicating a buffer size value corresponding to a remaining time range of a plurality of remaining time ranges which are determined based on the plurality of reporting thresholds, and the buffer size value indicating a total size of data units associated with the remaining time range and at least one data unit that is not associated with the remaining time range and is ahead of any data unit of the data units associated with the remaining time range.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting a video quality. One of the methods includes: determining, for a repeating time range of a video with a first video quality, a frequency with which one or more portions of the video were accessed, each portion for a corresponding one of one or more past instances of the repeating time range; selecting, for the repeating time range and using the frequency with which the portion of the video for the repeating time range was accessed, a second video quality from two or more video qualities that includes the first video quality; and storing, in memory, one or more additional portions of the video i) captured by a camera during future instances of the repeating time range ii) at the second video quality.

Embodiments of the invention disclose an object architecture restoration method and apparatus, an electronic device and a storage medium. The method comprises the steps of determining a current preset time range; obtaining target code submission log data of the object in the current preset time range; performing structured processing on the target code submission log data to obtain structured target code submission log data; performing classification processing on the structured target code submission log data to obtain a modular classification result of the target code submission log data; based on the modular classification result, generating a target modular log file corresponding to the target code submission log data; and obtaining a target architecture in the current preset time range according to the target modular log file. According to the architecture restoration method provided by the invention, the modular log file is generated by performing module classification processing on the log data, so that the architecture is restored, the evolution process of the software architecture is understood, and the quality of the software architecture is improved.

In a network device with multiple connections, a system tracks activity across each connection for a predetermined period. This activity comprises at least either a number of idle periods or the duration of a corresponding idle period. The system divides a predetermined time interval into a number of bins. Each bin is associated with a time range. The system stores the tracked activity in data structure entries, each specifying the number of bins, the duration of time associated with that bin, and a counter value associated with that bin. The system updates the tracked activity in the entry for each connection by incrementing a counter value associated with a bin that corresponds to the duration of the respective idle period, based on an initial number of idle periods tracked for that matching duration.The system displays the stored tracked activity for each connection.