116 results about "Data striping" patented technology

The invention discloses a storage space management method and device, a storage medium, electronic equipment and a program product, and relates to the technical field of distributed storage, and the method comprises the steps: obtaining a plurality of physical addresses of a plurality of physical storage equipment on a server corresponding to different nodes in a distributed storage system; a plurality of physical addresses are connected in series to generate address space pools corresponding to different servers, and linked lists corresponding to the address space pools are determined; under the condition of determining that the target object initiates the logical volume creation request, determining a target number of logical addresses from the address space pool according to the linked list, and recording a mapping relationship among the logical volume, the logical addresses and a target physical address associated with the logical addresses; the storage space associated with the logical volume is managed based on the mapping relation, the storage space at least comprises two physical storage devices, and the problem that when an existing distributed storage system carries out data storage, metadata access delay is caused by data striping is solved.

The invention belongs to the technical field of optical precision control, and particularly relates to an automatic calibration system and method for a fast steering mirror sensor, and the calibration method comprises the following steps: S1, carrying out the initialization configuration; s2, generating and sending an instruction sequence; s3, data storage: storing the angle data, fed back by the autocollimator, of the fast steering mirror; s4, dynamic calibration parameters are generated through data segmentation and data fitting; S5, calibration output is carried out; and S6, performing real-time compensation. The calibration system comprises an autocollimator, an upper computer and a fast reflecting mirror controller, a step angle instruction is automatically generated and sent through the upper computer, feedback data of the autocollimator is collected in real time, and first-order or second-order fitting is selected based on data segmentation and model selection to generate dynamic calibration parameters, so that the calibration accuracy of the fast reflecting mirror is improved. Global fitting is replaced by multi-interval independent linear fitting, the characteristic that nonlinearity of the sensor changes along with the angle is adapted, and the compensation precision is improved.

The invention relates to the technical field of battery management, and discloses a battery fault diagnosis method and system for a CCS module, and the method comprises the steps: obtaining a multi-dimensional data sequence of the voltage, current and temperature of a battery pack, carrying out the abnormality detection, and obtaining a potential abnormal time period and a multi-dimensional data subset; performing clustering analysis on the multi-dimensional data subset to obtain an abnormal feature clustering center, and performing dynamic association analysis to obtain an association mode vector set; calculating the similarity of each single data and a fault propagation path, and matching the propagation path with a preset mode to obtain a fault propagation score; fusing the clustering center and the propagation score, positioning a fault monomer through a support vector machine regression model, and determining a fault monomer identifier; and carrying out segmented clustering and logic judgment on the data corresponding to the identifier, and determining a fault type. According to the invention, accurate positioning and type determination of fault monomers can be realized.

The redundant streaming system based on synchronization of the multiple encoders and the time codes comprises the multiple encoders, a time code synchronization module, a redundant node cluster, a self-adaptive switching controller and a distributed storage module. The encoder forms and outputs a data frame containing a unique position code. The time code synchronization module generates a global timestamp based on a precision time protocol, and embeds the global timestamp into a data frame of the encoder to achieve spatio-temporal alignment of the data frame and a global clock. The redundant node cluster configures a dynamic bandwidth adjustment module from the nodes to adaptively match the phase-locked loop bandwidth according to the network delay. The adaptive switching controller monitors node states. The distributed storage module divides the data in a segmented mode based on the global timestamp, and redundant copies are generated for the data in the key time window. According to the redundant streaming system based on synchronization of the multiple encoders and the time codes, the problem that an encoder synchronization mechanism highly depends on physical signals can be solved.

The embodiment of the invention relates to a data processing method, a computing unit, electronic equipment, a storage medium and a program product. The method is executed by a calculation unit and comprises the steps that first data to be processed are obtained, and the first data correspond to a weight matrix; analyzing the first data into a plurality of data segments, the plurality of data segments including a plurality of first data segments and a second data segment, the plurality of first data segments corresponding to the floating point value of the first precision; based on a preset corresponding relation, multiple basic values corresponding to the multiple first data segments and a scaling factor corresponding to the second data segment are determined, the multiple basic values correspond to floating point values of second precision, the second precision is higher than the first precision, and the product of the multiple basic values and the scaling factor corresponds to multiple weight values in a weight matrix; and performing multiplication calculation of the weight matrix and the input matrix based on the plurality of base values and the scaling factor. In this way, the decoding and calculation efficiency of the data can be effectively improved.

The invention provides a parallel bit error rate detection method and device, a medium and a product, and belongs to the technical field of communication, and the method comprises the steps: detecting the bit error rate of a parallel signal of each channel, and obtaining the channel bit error rate; summarizing the channel bit error rates of all the channels to obtain a total bit error rate; wherein for each channel, the step of obtaining the channel bit error rate comprises the following steps: dividing a parallel signal of the channel into a plurality of first data segments according to a preset length; comparing the first data segment with a corresponding second data segment in a lookup table to obtain a comparison result of the first data segment; and calculating a channel error rate according to a comparison result of all the first data segments in the channel. According to the method, the bit error rates are independently counted in parallel in the multiple channels, the bit error rates of all the channels are summarized through the bus, data segmentation comparison is carried out on all the channels, the channel bit error rates are obtained, the bit error rate detection efficiency is improved through a double parallel processing mechanism, and the bit error rates of hundreds of parallel signals can be monitored in real time.

The invention discloses a pixel extraction and conversion method of an LEN format image, and belongs to the technical field of digital image processing. In order to solve the technical problems that the LEN format has no public specification and general software cannot read data, binary analysis is carried out through an LEN sample, and the core binary layout of a file is found for the first time: the image width and height are stored in specified offset positions, and a small-end byte order is adopted; pixel data comprises a compressed data segment and a row information segment, and an RLE coding rule is adopted. The method comprises the following steps: acquiring an LEN format file; analyzing the file header to obtain an image size; performing segmented analysis on the image data; synthesizing the analyzed data into image data; and packaging the pixel matrix into a standard TIFF format file. The LEN core binary layout is disclosed for the first time, zero distortion and cross-platform conversion are achieved, reading and storage of screening parameters are not involved at all, existing patents are effectively avoided, and the method can be used for preview, filing and third-party system integration in the flexographic printing process.

This application relates to the field of industrial data processing and intelligent control technology, and discloses a method for dynamic modeling and prediction of industrial big data combined with digital twins. The method includes: acquiring operating status data, process execution data, control command records and prediction results, and constructing a sequence of control action events; segmenting the operating status data according to the sequence of control action events to form natural operating data segments and intervention operating data segments, extracting distribution characteristics, fluctuation characteristics and response characteristics, and generating a segmented behavioral feature set; calculating the control reflexive influence quantity and generating a reflexive drift marker, dividing the natural evolution dataset and the control feedback dataset, and predicting them separately; generating control risk constraint quantity, screening, delaying or limiting the control commands to be executed, and iteratively correcting the dataset according to the execution results; this method can distinguish between control feedback changes and natural evolution changes, reduce drift misjudgments, and suppress multi-round oscillations and parameter fluctuations.

The application provides a data processing method and device, wherein the data processing method comprises: creating a data segment sequence corresponding to a target task in an execution state; loading a first data segment in the data segment sequence to a first circular array; reading and processing the first data segment in the first circular array according to a loading result, and loading a second data segment adjacent to the first data segment to a second circular array, the second data segment in the second circular array being processed after the first data segment in the first circular array is processed; loading a third data segment adjacent to the second data segment in the data segment sequence to the first circular array when the second data segment in the second circular array is in a processing state; and switching the target task to a completion state until all data segments in the data segment sequence are processed.

The present invention relates to the field of drone cluster elastic control technology, and in particular to a method, system, medium, and program product for simulating disturbance impulse injection in a drone network system. The method comprises setting injection rounds, generating an interference parameter matrix, initializing a network model, injecting interference round by round, recording phase point trajectories, determining recovery based on termination conditions, saving standardized trajectory data, and automatically identifying transition zones in the trajectory. The supporting system automates interference injection, trajectory monitoring, recovery determination, and data segmentation processing, and is capable of outputting key indicators such as maximum offset and recovery time. The invention has the advantages of standardized test structure, unified data format, strong adaptability, and high efficiency.

The present disclosure relates to methods and devices for enabling an efficient allocation of uplink resources to a user equipment, UE (20), which comprises a wireless device (25), such as an Ambient-IoT device, by considering an uplink data segmentation capability of the wireless device (25).

An apparatus in an illustrative embodiment comprises at least one processing device configured to identify data units stored on storage nodes of a storage system, wherein different subsets of the data units comprise data sub-units stored utilizing different data striping schemes. The at least one processing device is also configured to maintain a data structure characterizing relationships between the storage nodes, the data structure comprising, for a given data unit, edge weights that are proportional to a given number of data sub-units that are part of the given data unit. The at least one processing device is further configured to receive an additional data unit to be stored, to determine, utilizing the data structure, a subset of the storage nodes on which to store data sub-units of the additional data unit, and to store the data sub-units of the additional data unit on the determined subset of the storage nodes.

The embodiment of the invention provides a data transmission method and device, electronic equipment, a storage medium and a program product. The method comprises the steps that data to be transmitted are acquired, the data to be transmitted comprise a plurality of data segments, if it is detected that the signal strength of a current connection link with a target satellite is lower than a preset signal strength threshold value, wireless resource control link reconstruction is triggered, and a plurality of data segments which are transmitted currently and a plurality of data segments which are not transmitted currently are acquired; and determining a plurality of target data segments to be cached from the plurality of transmitted data segments according to the acquired transmission feature data, caching the target data segments, and if the target connection link is reconstructed, sequentially transmitting the plurality of target data segments and the plurality of untransmitted data segments through the target connection link. According to the invention, the success rate of data transmission in a satellite communication scene is obviously improved.

The present disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Various embodiments of the present disclosure may provide a data segmentation method for accelerating data processing, and a method and a device for reporting a reception state in a next generation mobile communication system.

A method for performing auxiliary setting on the basis of multi-dimensional loop state detection. The method comprises: acquiring historical data, performing a quality check on the historical data, and then performing data segmentation (S1); calculating a valve saturation rate on the basis of the segmented historical data, so as to determine a current loop valve state (S2); calculating an excitation index on the basis of the loop valve state and a control mode, and determining a setting mode or calculating an automatic control rate on the basis of the excitation index (S3); calculating the automatic control rate on the basis of historical tag data of the control mode in the segmented historical data, and selecting a setting mode or calculating a stability rate on the basis of the automatic control rate (S4); calculating the stability rate on the basis of loop PV, SV and MV data in the segmented historical data, and determining a current control effect or performing loop oscillation detection on the basis of the stability rate (S5); and determining a setting mode on the basis of loop oscillation detection (S6). By means of performing loop diagnosis detection in terms of control performance, valve problem detection, disturbance, etc., a basis is provided for selecting a parameter setting mode.

The invention relates to the technical field of IT support, and provides a time series data segmentation method and device and electronic equipment in the field of wireless networks, and the method comprises the steps: obtaining to-be-processed time series data in a wireless network and external context data synchronized in time, carrying out the feature fusion at a corresponding time point, and generating a multi-dimensional feature vector sequence; determining a plurality of candidate segmentation points and corresponding local complexity indexes, and dividing the multi-dimensional feature vector sequence into at least one high-complexity region and one low-complexity region; and generating a data segment with a shorter length in the high-complexity region, and generating a data segment with a longer length in the low-complexity region, thereby obtaining a group of structured data segments with a dynamic length. According to the method, external factors are introduced as input, so that the model can comprehensively consider the time sequence data and related environmental conditions, the multi-scale characteristics of the data can be better captured, dynamic segmentation is realized, and the prediction accuracy is improved.

The application discloses a serial port screen GUI adaptive resolution rendering method and system, and belongs to the technical field of human-computer interaction. The method comprises the following steps: segmenting string data to obtain at least one data segment, and generating a unique sequence identifier; embedding the sequence identifier, the total length of the string data and the effective data length of the current segment in the frame structure of each data segment based on the data frame format limitation of the bus protocol to obtain a data frame carrying segment metadata; sequentially sending the data frame through the bus; dynamically allocating a buffer according to the sequence identifier and the total length information at the receiving end, and recombining each data segment according to the sending order according to the sequence identifier, obtaining display instructions after recombination and performing a rendering operation. Through the segment transmission and metadata identification mechanism, the application breaks through the limitation of the bus protocol on the length of single-frame data, realizes reliable transmission and accurate recombination of large-capacity string data, and improves the stability and adaptability of serial port screen rendering.

Methods and apparatus for segmenting uplink transmissions by ambient-power (AMP) devices are provided. In embodiments, data collected by an AMP device is divided into segments, which are transmitted according to the energy available to the AMP device and the resources allocated by a receiving network access point. The AMP device can signal to the access point its current energy availability and the segmentation of the data by setting specific fields in the data frames used to transmit the data segments. In embodiments, a wake-up radio frame is used to transmit the data and the medium access control header thereof is used to communicate segmentation and energy information. In addition, the access point can infer whether the resources that it is allocating to the AMP device are sufficient according to this information. Embodiments can enable AMP devices to avoid deferring data transmissions and consuming power unnecessarily.

The present invention belongs to the field of optical precision control technology, and specifically relates to a system and method for automatically calibrating a fast-reflection mirror sensor. The calibration method includes the following steps: S1, initialization configuration; S2, instruction sequence generation and transmission; S3, data storage: storing the angle data of the fast-reflection mirror fed back by the autocollimator; S4, generating dynamic calibration parameters through data segmentation and data fitting; S5, calibration output; and S6, real-time compensation. The calibration system includes an autocollimator, a host computer, and a fast-reflection mirror controller. The present invention uses the host computer to automatically generate and transmit step angle commands, collects autocollimator feedback data in real time, and generates dynamic calibration parameters by selecting first-order or second-order fitting based on data segmentation and model selection. Multi-interval independent linear fitting replaces global fitting to adapt to the nonlinear characteristics of the sensor that change with angle, thereby improving compensation accuracy.

An adaptive learning compression method and system for floating-point data, incorporating outlier handling, is disclosed. The method includes: 1. Dividing the input floating-point number sequence into blocks and converting the floating-point values ​​in each block to integers through adaptive rounding; for high-precision floating-point numbers or outliers that cannot be effectively converted, a masquerading mechanism is employed to replace them with approximate values ​​close to the context precision; 2. Analyzing the distribution and variation patterns of the converted integer sequence and segmenting the sequence accordingly, fitting a lightweight prediction model to each segment; 3. Compactly encoding and storing the model parameters, segment boundary information, and residuals between predicted and actual values ​​for each data segment. This invention can efficiently and intelligently compress floating-point numbers, significantly reducing storage space while ensuring that the compressed data supports efficient random access and range queries, and possesses the ability to handle high-precision values ​​and outliers.

The invention relates to the technical field of automobile electronic diagnosis, in particular to a fault code snapshot analysis method, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining to-be-analyzed target snapshot original data, and according to a preset user-defined analysis mode configuration rule, analyzing the target snapshot original data according to the preset user-defined analysis mode configuration rule; detecting whether analysis mode configuration information associated with the original data of the target snapshot contains a user-defined enabling identifier or not; when the identifier is not detected, extracting a snapshot group identifier and data quantity information in the data, retrieving a matched first analysis parameter in an analysis association database, and analyzing according to a data segmentation analysis rule to obtain first snapshot information; and when the identifier is detected, the associated self-defined snapshot configuration information is obtained, the matched second analysis parameter is retrieved, and the second snapshot information is obtained through analysis according to the self-defined data segmentation analysis rule, so that the adaptation flexibility of fault code snapshot analysis is effectively improved.

The present application relates to the field of rail transit data transmission technology, and discloses a train-ground wireless transmission method for rail transit; the train-ground wireless transmission method for rail transit comprises the following steps: S1: transmission architecture construction; S2: security architecture construction; S3: data segment transmission; S4: cloud edge collaborative storage, the terminal, RAN, bearing and core network in the transmission network, that is, the 5G network, are segmented and encrypted, so that different encryption modes can be set according to data transmission requirements, the safety of data transmission can be ensured while the data transmission rate is ensured, a more targeted data protection mechanism is obtained, the data processing amount of the total control end can be reduced, the data receiving and processing efficiency of the total control end can be improved, the instantaneity of total control command is ensured, the storage integrity of data is ensured, and data mining and fusion can be conveniently carried out subsequently.

The present application discloses a superposition analysis method and device based on spatial big data, which relates to the technical field of geographical information spatial data analysis. The source data table and the superposition data table are segmented by a preset data volume to obtain segmented data, and a starting ID is set, and superposition analysis is performed to obtain the spatial four-boundary range of the result data; grid division is performed to obtain a spatial range grid, and a cell ID is set for the cells of the spatial range grid; the superposition spatial four-boundary range of the superposition intersection data in the spatial four-boundary range and its corresponding cell ID are determined to construct a superposition association relationship between the superposition spatial four-boundary range and the spatial range grid, and they are integrated to form a grid index file; the superposition data is indexed in the grid index file, and it is superimposed and calculated with the source data set in the source spatial four-boundary range to achieve spatial superposition. This method realizes providing real-time and accurate superposition analysis results when processing large-scale complex spatial data.

This invention discloses a data compression method based on data difference features. The method includes a compression code table generation stage and a data compression stage. During code table generation, the data is first segmented, retaining the first data element of each segment. Subsequent data elements are then subtracted from their preceding elements, and the difference features are statistically analyzed to generate the compression code table. During data compression, the same steps are used to obtain the data difference distribution. The data is then encoded using the compression code table, reducing the total data length, and finally, the compressed data segment is output. This invention generates a code table based on the difference distribution features between data elements, performs lossless data compression, and, considering the characteristics of hardware devices, performs segmented data compression, allowing for parallel operation, thereby improving compression and transmission efficiency and saving transmission bandwidth.

The application discloses an inline small data transmission method and system based on an NVMe command queue, and belongs to the field of electronic digital data processing. The application aims at the problem that the PRP / SGL mechanism in the existing NVMe protocol takes 4KB physical pages as the minimum transmission granularity, leading to bandwidth amplification and redundant direct memory access operation in the small data scene. The submission queue is expanded into a mixed transmission channel of commands and data. When the effective load is less than or equal to a preset threshold, the host side segments the data, constructs an NVMe command containing a combined command type code, and writes the command and the data segment as a continuous 64-byte entry into the submission queue in sequence. The solid state disk controller sequentially reads the submission queue, identifies the inline transmission mode according to the combined command type code, directly extracts the data segment or triggers the direct memory access engine to perform multi-source aggregation transmission. The application eliminates redundant direct memory access transactions, improves the high-speed peripheral component interconnect link bandwidth utilization, and reduces the small data transmission delay.

The invention discloses a monitoring data transmission method and device, an electric power system and a storage medium, the monitoring data transmission method is applied to an equipment controller, and the transmission method comprises the following steps: segmenting current monitoring data into a preset number of monitoring fragment data; based on a first data channel, transmitting one current service fragment data transmitted by each monitoring fragment data along with one second transmission period to a first data receiving end in a first transmission period, the first data channel being used for transmitting one current service fragment data to the first data receiving end in each second transmission period, the first transmission period is greater than the second transmission period. According to the method, the current monitoring data and the current service data of the equipment controller are transmitted to the first data receiving end based on the time division multiplexing of the first data channel of the equipment controller, and the transmission success rate of the service data in the monitoring data transmission process is improved.

The invention provides an energy-saving transmission method of buoy monitoring equipment, which belongs to the technical field of electric digital data processing, and comprises the following steps of: classifying ocean data, dividing the data into large, medium and small change sections, and setting corresponding time windows; segmenting the data based on a time window, calculating the similarity between a window data segment and a classic data segment, replacing the high-similarity data with an identifier, and calling a marine data optimization function for dimensionality reduction of the low-similarity data; secondly, feature extraction and compression are carried out through a pre-trained OceanFormer model, a multi-head attention mechanism is adopted by OceanFormer, and dynamic adjustment can be carried out according to data characteristics; finally, the processed data are transmitted to a receiving terminal through a low-power-consumption protocol, the receiving terminal restores the identifier according to data packet header information and reconstructs complete ocean data, and balance of energy consumption and data integrity is achieved.

The application discloses a quantum adder, an operation method and related devices. The quantum adder comprises a plurality of chips connected through an EPR module. One chip is used for processing one data segment. The data segment comprises an addend segment and a summand segment. The chip comprises: an addition module, which is used for obtaining an addition result and carry information of the data segment based on a quantum Fourier transform; a loading module, which is used for loading the carry information transmitted through the EPR module on the addition result and the carry information obtained by the chip based on the addition module, so as to update the addition result and the carry information of the chip; and an inverse quantum Fourier transform module, which is used for converting the latest addition result into a binary string. According to the embodiments of the application, the efficiency of the addition operation in quantum computing can be improved.