59 results about "Data striping" patented technology

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 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 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.

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.

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.

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.

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 a high-reliability dynamic self-adaptive satellite data receiving and processing method. The method comprises the steps of setting a reference timestamp, establishing a data segment receiving mechanism, emptying a buffer area and a counter, dynamically receiving satellite data, analyzing the data, dynamically emptying a hardware register, establishing a data mapping matrix and establishing a bus data integrity checking process. According to the invention, through satellite data dynamic receiving, an originally concentrated satellite data receiving process is dispersed, and the problem of time slice congestion of a civil aircraft real-time navigation system is solved; the visibility of the satellite data state is ensured through data analysis; by dynamically emptying the register, the real-time system idle time slice is effectively utilized to ensure the robustness of the system; by establishing a data mapping matrix, rapid positioning of data receiving information and data state information is supported; and establishing a bus data integrity checking process to ensure the reliability of the received satellite data.

A computer-implemented method for data segmentation to improve security is described. The method includes receiving a request, from a client device of a user, for authentication information; parsing the request; based on the parsing, determining an authentication score that represents a likelihood that the request is from an authenticated device; determining, from the authentication score, a number of segments into which the requested authentication information is divided; and for each of the segments, assigning one or more portions of the authentication information to that segment, in which each segment is associated with one or more times at which to transmit information assigned to that segment, and at one or more times specified by that segment, transmitting one or more portions of the authentication information assigned to that segment to the client device.

A memory access system includes a fabric switch connectable to a computing device that generates memory access requests. The switch is also connectable to downstream fabric-attached memory devices. The switch includes upstream ports connectable to the computing device, downstream ports connectable to respective downstream fabric-attached memory devices, and routing logic that routes access request data to the downstream ports. The system includes computer logic that segments data of a memory access request into segments. The computer logic assigns each segment to a downstream port.

The present disclosure provides a data transmission method, system and electronic equipment based on a UDP transmission protocol, the method comprising: segmenting application layer data packets to be transmitted by a sending end; sending the segmented data packets with added protocol headers to a receiving end via the UDP transmission protocol; sending a retransmission request frame to the sending end when the receiving end detects loss of the reassembled data segments; retransmitting the lost data segments to the receiving end; and sending an acknowledgement response frame to the sending end in response to the receiving end successfully reassembling complete application layer data packets. The present disclosure reassembles the data segments sent by the sending end by the receiving end, and when the receiving end detects loss of the reassembled data segments, the sending end performs accurate retransmission. When the receiving end successfully reassembles complete application layer data packets, the sending end is sent an acknowledgement response frame, avoiding the defect of high connection overhead, improving protocol reliability, and achieving efficient and accurate retransmission.

The application discloses a two-dimensional user identity mapping and large-scale license-free access method based on prime number interleaving series spread spectrum, which comprises the following steps: at the user end, sequentially performing cyclic redundancy check addition, data segmentation and GRS coding, modulation and aggregation on original information packets; embedding a prime number interleaver in the two-dimensional user identity into the aggregated frame vector; concatenating and spreading the interleaved symbol vector to form a transmission signal vector; the two-dimensional user identity further comprises a spread spectrum signature, and the spread spectrum signature is an outer layer identity, and the prime number interleaver is an inner layer identity; at the base station, the superimposed signal is divided into multiple spread spectrum segments, and the spread spectrum signature is detected to determine the collision group corresponding to the candidate spread spectrum signature; the prime number interleaver is used to separate the collision users in the collision group, and the user data of the collision users is decoded and verified. The application can improve the fine separation ability of the collision users without increasing the length of the spread spectrum sequence, without expanding the size of the finite field, and without increasing the regulation of the low power consumption and low operation amount of the Internet of Things terminal.

The invention discloses an inline small data transmission method and system based on an NVMe command queue, and belongs to the field of electric digital data processing. In order to solve the problems of bandwidth amplification and redundant direct memory access operation in a small data scene due to the fact that a PRP / SGL mechanism in an existing NVMe protocol takes a 4KB physical page as the minimum transmission granularity, a submission queue is expanded into a mixed transmission channel of commands and data. When the effective load is smaller than or equal to a preset threshold value, the host side segments data, constructs an NVMe command containing a combined command type code, and sequentially writes the command and the data segment into a submission queue as continuous 64-byte entries; and the solid state disk controller sequentially reads the submission queue, identifies an inline transmission mode according to the combined command type code, and directly extracts a data segment or triggers a direct memory access engine to execute multi-source aggregation transmission. According to the invention, the redundant direct memory access transaction is eliminated, the bandwidth utilization rate of the interconnection link of the high-speed peripheral component is improved, and the small data transmission delay is reduced.

The invention discloses an industrial time series data processing method, system and device, and relates to the technical field of industrial time series data processing, and the method comprises the steps: carrying out the time-space alignment and fusion of multi-source heterogeneous sensor time series data, and then carrying out the hybrid adaptive noise reduction processing, and obtaining the time series data after noise reduction; carrying out data segmentation by adopting a self-adaptive window function to obtain an initial data sample; identifying an equipment working condition corresponding to the initial data sample, and performing standardization processing on the initial data sample based on the equipment working condition to obtain a standardized data sample; classifying and identifying the standardized data sample to obtain a preset rare fault category sample and other category samples; and enhancing a preset rare fault category sample based on the generative adversarial network, and combining the enhanced fault sample with other categories of samples to obtain a balanced training data set. The technical problem that in the prior art, industrial time sequence data cannot meet the training requirement of a high-precision prediction model is solved.

The present application relates to a kind of for monitoring workpiece processing method and workpiece processing monitoring system, it relates to the technical field of workpiece processing monitoring, the method includes: the data segmentation processing of same tool, and the spatial coincidence degree of the processing area characterized by these segmented data is calculated, and the data of which coincidence degree is higher than threshold is collected as the first set of corresponding physical area, and process within process label is given to the data therein;For the segmented data of different tools, by spatial position matching, the segmented data of processing area spatial position correspondence is identified, and the segmented data of spatial position correspondence and the sequential order of its tool type comply with the preset process relationship is collected as second set, and inter-process process label is given to the data therein;Based on the above two labels, each segmented data is matched with monitoring strategy;When processing similar workpiece, relevant matching monitoring strategy is called to carry out abnormal monitoring and alarm, so as to solve the technical problems that the process correlation of existing monitoring product is ignored.

The application provides a complex industrial process monitoring method and system based on full stationary residual analysis, which comprises the following steps: collecting multivariate process data under normal operation and standardizing; determining the number of stationary signal sources through cointegration test, calculating sample mean and covariance by segmenting data; constructing a full stationary residual analysis model with the principle of minimum difference of stationary component distribution in each segment, decomposing standardized data into non-stationary common trend and stationary component and solving model parameters; extracting stationary components of training data based on parameters, constructing monitoring statistics and determining control limit; extracting stationary components of the sample to be monitored after standardization by the same method, calculating its monitoring statistics and comparing with the control limit, if it is out of limit, determining that the process is abnormal and alarming; the system realizes automatic execution corresponding to the process; the application can effectively strip non-stationary interference, retain fault sensitive features, and improve the identification accuracy and monitoring reliability of small faults in non-stationary industrial processes.

This invention discloses a method and terminal for checking software configuration files. The method involves dividing the configuration file into all configuration items to obtain a preset number of configuration data segments; creating a data indexing mechanism to index any configuration data segment and any configuration item within that segment; and, in response to a check command, creating a self-checking and correction process for the corresponding configuration item based on the data indexing mechanism, and executing the self-checking and correction process. This invention, by combining segmentation processing and indexing mechanisms, effectively avoids the repeated reading and parsing of large configuration files during checks. By executing the self-checking and correction process, it updates and iterates the original configuration items, improving check efficiency.

The invention provides a cloud computing data retrieval path dynamic optimization method and system based on deep reinforcement learning, and relates to the technical field of data retrieval optimizing.The method comprises the steps that user interaction data and system state data are collected, and the user interaction data are segmented to generate a behavior sequence; processing the sequence by using a time sequence analysis model to generate a user dynamic preference vector, and generating a system load vector based on the system state data; and inputting the two vectors into a deep reinforcement learning network, generating an initial data retrieval path through a strategy network, and finally dynamically optimizing the path by using a strategy optimization algorithm to generate a final target data retrieval path. According to the method, the dynamic adaptability and the response efficiency of the data retrieval path are improved.

This application discloses a fault diagnosis method and electronic device applied to a baseboard management controller. The method includes: in response to a detection status bit in a shared memory shared by the host and the baseboard management controller being configured to a start detection state by the host; loading a target diagnostic script from multiple diagnostic scripts stored in the embedded memory of the baseboard management controller according to a script flag bit set by the host; obtaining a fault diagnosis result file based on the target diagnostic script; writing the fault diagnosis result file into at least one data segment of the shared memory; setting the segment flag bit corresponding to the data segment containing the fault diagnosis result file in the shared memory to the file timestamp of obtaining the fault diagnosis result file; the shared memory includes a data partition and a configuration partition; the data partition includes multiple data segments; the configuration partition includes multiple segment flag bits corresponding one-to-one with the multiple data segments; and configuring the detection status bit to an end detection state, so that the host obtains the fault diagnosis result file from the shared memory.