94 results about "Data capacity" patented technology

The invention relates to the technical field of data acquisition, in particular to a multi-source heterogeneous bus data parallel acquisition recording method and system, and the method comprises the steps: initializing a task period and a maximum sampling period; scheduling the tasks in the task queue based on the task cycle, setting a time step length and marking schedulable tasks; setting sampling channels according to the number of schedulable tasks and distributing the sampling channels to sampling threads; packaging the acquired data into an acquired data packet and aligning by taking a timestamp as a reference; offset calculation and compensation are carried out on the collected data packet; controlling a data acquisition thread to start according to the data capacity and the sampling frequency; the time difference and the content similarity of adjacent data packets are detected, and intelligent data merging is executed; storing the processed data packet in real time; through the adaptive task scheduling and precise time alignment technology, efficient parallel acquisition and precise recording of heterogeneous bus data are realized, and the synchronism, integrity and processing efficiency of data acquisition are remarkably improved.

The invention discloses an SSD multi-layer pre-reading method and device, computer equipment and a storage medium, and relates to the technical field of SSD pre-reading. The method comprises the steps that whether a preset pre-reading condition is triggered or not is judged; if the preset pre-reading condition is triggered, loading the data into a multi-layer pre-reading buffer area of the solid state disk; if a read command is received, judging whether the read command hits the multi-layer pre-read buffer area or not; and if the read command hits the multi-layer pre-read buffer area, reading target data corresponding to the read command from the multi-layer pre-read buffer area. According to the method, the NAND inherent cache resources are reused, so that the pre-read data capacity is expanded by multiple times, and hardware cost does not need to be newly increased; when the hit occurs, the physical reading delay of the NAND array is thoroughly avoided, and the traditional serial operation is converted into buffer area direct reading. For a sequential read scene, most read commands skip an NAND access link through multi-stage buffering, and the average delay is compressed from a hundred microsecond level to a microsecond level transmission time, so that the performance step-type improvement is realized.

The invention relates to an anti-counterfeiting code generation method, system and device based on multiple label carriers and a medium, and relates to the technical field of anti-counterfeiting code generation, and the method comprises the steps: generating a composite encryption seed according to the combination of the cost grade of a product and the unique identifier of a code injection device, and dynamically adjusting the initial length of an anti-counterfeiting code based on the data capacity limitation of the label carriers, generating a basic anti-counterfeiting code sequence; and according to a security threshold corresponding to the product cost level, determining an encryption algorithm combination and an encryption round, performing multiple rounds of encryption on the basic anti-counterfeiting code sequence, generating a final anti-counterfeiting code, writing in a matched label carrier, and associatively storing an encryption seed, the encryption round and an industry type parameter to a cloud block chain node. According to the application, the length of the anti-counterfeiting code can be flexibly set according to the security requirements and the information storage amount of different products, and the security and the adaptability of the anti-counterfeiting code are improved.

The invention discloses an image transmission system for visual communication display, and relates to the technical field of data management.The image transmission system collects and manages multi-dimensional information data of all credit enterprises through a data management unit, and a behavior analysis unit analyzes behaviors of authorized users; the data management unit generates a reading strategy of each dimension, and the enterprise portrait unit generates portrait analysis of each credit enterprise based on different dimensions. In the process of comparing and generating the reading strategy of each dimension, a plurality of character data are intercepted from the dimension data table corresponding to the dimension with relatively high click frequency and relatively large data capacity; according to the method, the high-frequency access data is stored in the independent table to generate the derivative data table of the corresponding dimension, in this way, the database cache can be more effectively utilized, and more common data can be ensured to be reserved in the cache by separating the high-frequency data, so that the performance is improved, the contention for a large table can be reduced, and the possibility of lock contention is reduced.

The invention discloses a learning resource recommendation system based on deep learning, and relates to the technical field of resource recommendation, an online learning service module is arranged to provide online learning resource watching service for students, and a monitoring and recording module is arranged to record pull-back operation executed by learning resources. A pull-back analysis module is arranged to analyze pull-back monitoring data for all learning resources; in the analysis process, aiming at any learning resource, all knowledge points with recommendation qualification in the learning resource are judged by analyzing a plurality of knowledge points involved when the student executes the pull-back operation on the learning resource and the data capacity of the teaching video of the knowledge points; the online learning service module recommends the corresponding knowledge points to the students for all the knowledge points with the recommendation qualification in the learning resource playing process, so that the problem of time waste caused by repeatedly pulling back the same section of low-efficiency explanation by the students can be effectively reduced, and the students are helped to improve the learning efficiency.

The invention provides a data loss prevention disaster recovery management system, relates to the technical field of disaster recovery management, and solves the problems that the workload of an original missing verification mode is huge, and a complete and accurate data missing verification process is difficult to realize. According to the method, different data segments are preferentially stored in the specified storage partition, the data segments in the storage partition are mutually backed up in the subsequent backup process, and the data capacity of a group of target storage partitions is randomly selected in each mutual backup process for missing verification, so that the data capacity of the target storage partition is verified, and the data capacity of the target storage partition is verified. According to the method, whether the data segments received by the source storage partitions are missing or not is evaluated through the target storage partitions, timely calibration is carried out, the missing verification processing mode can greatly reduce the workload in the verification process, missing verification processing does not need to be carried out on the whole backup data, and only missing verification needs to be carried out on the related data stored in each target storage partition, so that the verification efficiency is greatly improved. Meanwhile, missing data can be quickly locked and supplemented, a good disaster recovery management effect can be achieved, and the missing data can be quickly locked.

The present invention discloses a cloud platform operation data management method based on SaaS. The present invention relates to the field of data management technology and solves the technical problems of being unable to meet the storage requirements of different types of data, lacking effective partitioning and sharding strategies, resulting in low efficiency of data query and analysis, and difficulty in quickly locating and processing required data. The present invention uses innovative time span partitioning and multi-dimensional sharding strategies to finely divide cloud platform operation data according to time, data type, and text and non-text information in the data content, thereby improving the precision of data management and query and analysis efficiency. Partitioning according to time span can quickly locate data within a specific time period, and comprehensively considers the storage capacity and response delay of storage nodes, as well as the data capacity and response requirements of sharded data, thereby achieving accurate matching of storage nodes and sharded data, reducing storage costs, and improving data storage and access performance.

The present invention discloses a data processing system for industrial network operation, comprising a data acquisition module, a data processing module and a node management module, characterized in that: the data acquisition module is used to acquire business data in the industrial network and enter the data into the system; the data processing module is used to remove redundant and incomplete data in the data to ensure that the processed data is correct data; the node management module is used to adjust the allocation of processing nodes and adjust the load rate of the node processing data according to the processed data capacity; the data acquisition module, the data processing module and the node management module are electrically connected to each other; the data acquisition module comprises a monitoring module, a data collection module and a data entry module; the monitoring module is used to respectively monitor the data pulled from the system and the data processed by the processing node. The present invention has the characteristics of improving processing efficiency and improving resource utilization.

The invention provides a video encryption transmission method, system and device, a medium and a product, and the method comprises the steps: carrying out the negation operation of each bit in all binary bits of an original video, and obtaining a first ciphertext; determining the data capacity of the original video, and taking the data capacity as an encryption end salt value; generating an encryption end verification parameter based on the encryption end salt value; packaging the encryption end verification parameter and the first ciphertext to obtain packaged data; and carrying out asymmetric encryption on the packaged data to obtain a second ciphertext, and sending the second ciphertext to the receiving end. According to the invention, the complexity of data is increased through negation encryption, the capacity of original data is not increased, and the transmission efficiency is ensured. And through salt value encryption, verification parameter verification and asymmetric encryption, the security of the video data is fully ensured. Generally speaking, under the condition that the user authentication time is not increased, the security of the user privacy data is improved, and the user experience is improved.

The invention discloses a distributed delay task processing method and device, and the method comprises the steps: obtaining a task, distributing the task to a corresponding task bucket, and distributing the task to the corresponding task bucket based on a delay expiration timestamp associated with the task; polling a task bucket set which is not executed in real time to scan to obtain a current expired target task bucket, and taking out a bucket name of the target task bucket and putting the bucket name into an expired task bucket queue; consuming the expired task bucket queue to take out the target task corresponding to the bucket according to the bucket name, and adding the target task into the expired task queue; the expired task queue is consumed. By newly adding the time sequence barrel dimension, each time sequence corresponds to one independent storage set, and the data storage capacity is greatly increased. The corresponding delay task is processed by scanning whether the time sequence bucket expires or not instead of scanning an independent delay task, so that the performance is greatly improved. Therefore, the defects existing in related technologies are overcome.

The embodiment of the invention relates to a data transmission method, communication equipment and a communication system. The data transmission method comprises the following steps: under the condition that initial protocol data units (PDUs) of adjacent caches in a cache region of a sending end belong to the same service data unit (SDU), the sending end performs combination operation on the initial PDUs of the adjacent caches according to a PDU data capacity threshold value negotiated with a receiving end in advance; and transmitting the target PDU after the combination operation. Wherein the data capacity of each target PDU, except the capacity of the last PDU, is smaller than or equal to the PDU data capacity threshold value, and the capacities of the other PDUs are equal to the PDU data capacity threshold value, so that the problem of low cache PDU transmission efficiency caused by the change of the data length of the transmitted PDU in the Bluetooth communication process is effectively solved.

The application discloses an information security data storage system and relates to the technical field of data storage.The application solves the technical problem of avoiding the problem of resource waste or performance bottleneck caused by one-size-fits-all storage by intelligently selecting local storage or distributed storage mode according to the type, capacity size and delay requirement of data.The application dynamically selects local or distributed storage based on data capacity and delay requirement, stores small-capacity and low-delay data locally to reduce network overhead, stores large-capacity and high-delay data in a distributed manner to improve scalability, improves resource utilization, automatically deletes temporary data, combines high-frequency / low-frequency data differentiation processing, takes into account data security and space optimization, dynamically adapts different capacity data through a dynamic sharding strategy, ensures balanced distribution of data through consistent hashing and virtual nodes, and realizes dynamic load adjustment through cold / hot data layering and node performance grading, thereby improving access speed and system stability.

The application discloses an online data storage system and method based on a block chain, and relates to the field of block chains.The method judges whether the available storage space of a main chain agent node is smaller than a set threshold value, and if so, block data of the main chain is transferred to a side chain to release the storage space of the main chain agent node.The system comprises a main chain and a side chain, the main chain and the side chain transmit data through a side chain protocol, and the main chain and the side chain are both composed of full nodes and light nodes; the threshold value of the storage space of the main chain agent node is adjusted according to the number of online data requests and the peak value of single data capacity, so that the necessity and rationality of block data transfer are ensured.

The application discloses a method and system for automatic identification and repair of bad segments of magnetoencephalography based on joint diagonalization, wherein the method comprises the following steps: acquiring original multi-channel magnetoencephalography signals of a measured object; segmenting the multi-channel magnetoencephalography signals to obtain a plurality of segmented data; calculating a covariance matrix and an average covariance matrix of each segmented data; identifying bad segment data in the segmented data based on the covariance matrix and the average covariance matrix; and repairing the bad segment data by using a joint diagonalization method. In the method, the collected multi-channel magnetoencephalography signals are segmented, the covariance matrix and the Euclidean distance are used to identify the bad segments, automatic identification of the bad segments is realized, and the method can be effectively popularized to other time series signals. In addition, the joint diagonalization analysis method is applied to the repair of the bad segments, and the shortcoming of reducing data capacity of a traditional interpolation method is overcome. Furthermore, the method does not need manual marking or input of other parameters, and can effectively reduce the identification and marking process.

This application discloses a method for scaling up nodes in a distributed search engine, including obtaining the current information of the distributed search engine cluster and the information of the scaling nodes; calculating the total number M of shards that the scaling nodes can accommodate based on the current information of the cluster and the information of the scaling nodes; adding the scaling nodes to the cluster; performing multiple rounds of node pre-allocation, each round of node pre-allocation including: establishing a weight index and dividing the weight index into N weight shards; performing data balancing on the cluster; and completing node allocation when N reaches a preset value. The solution provided by this application solves the problem in the prior art where distributed search engines cannot scale up the cluster in-situ or on demand when the cluster data capacity or data write performance reaches its limit, resulting in resource waste.

A determination is made of whether a memory sub-system operates in a full capacity mode or a reduced capacity mode. The full capacity mode corresponds to accessing data residing at a set of memory devices via a number of physical data channels that corresponds to a number of logical data channels. The reduced capacity mode corresponds to accessing the data via a number of physical data channels that is less than the number of logical data channels. A data structure is updated to include one or more mappings between physical data channels and logical data channels according to the determination. A memory access operation to access a data item at memory cells of at least one of the set of memory devices is executed based on the one or more mappings of the data structure.

The present disclosure provides a data storage method, a data reading method and device, the method comprising: based on the data volume fragmentation threshold, the original data is fragmented, and a plurality of fragmented data of the original data is obtained, the data volume fragmentation threshold is less than the preset data capacity; based on the storage address of the plurality of fragmented data and the combination relationship of the plurality of fragmented data, the order identification of the original data is determined; the order identification and the plurality of fragmented data are stored in different machines. The method provided by the present disclosure can reduce the situation of insufficient machine cache and network congestion when storing the plurality of fragmented data in different machines, thereby improving the data storage efficiency, without the need to increase high-performance hardware devices and manual intervention, thereby reducing the cost, and when storing the plurality of fragmented data, the online system does not need to be reconstructed, only the data is processed, the online risk is reduced, and the business loss caused by online failure is reduced.

The application relates to the technical field of data collection, in particular to an image collection method of a flight control device and the flight control device. The device comprises a camera module and a flight control module, the flight control module comprises an FMQL processor and a data recorder, the FMQL processor comprises a PL end and a PS end, the PL end comprises a camera IP core, and the PS end is used for writing image data from a DDR storage module of the FMQL processor into the data recorder after the camera IP core writes the acquired image data into the DDR storage module. The application expands the data capacity by arranging the data recorder, and can realize the long-time image collection of the flight control device; meanwhile, the image collection is controlled by using the PL end, so that only a low-cost image collection circuit is needed, the volume of the flight control device is reduced, and the cost is lowered.

The invention discloses a distributed optical fiber vertical seismic DAS-VSP data capacity optimization method. According to the method, firstly, the slope difference between adjacent data points in a data point set is calculated, judgment is carried out according to a preset threshold value, redundant data points which have weak influence on the overall seismic signal trend form can be accurately recognized and deleted, and therefore the scale of the data set is remarkably reduced at the source, and first-layer compression is achieved. And then, carrying out differential coding processing on the optimized data point set after redundancy is removed, and only storing or transmitting a difference value between adjacent key data points to replace an original large value, so that the value representation range of the data is further reduced, and efficient compression of a second layer is realized. Finally, the initial data point and the differential set are packaged into a compact data frame, so that the total data amount is greatly reduced, and the resource occupation of the storage space and the network bandwidth is remarkably reduced.

This application relates to a method, apparatus, system, device, and storage medium for intelligent driving data refeeding testing. It involves equally dividing W test datasets collected from real vehicles to obtain Z data groups, with the test datasets within each data group sorted in descending order of data size. Q domain controllers are then equally divided into Z refeeding clusters, with the domain controllers within each refeeding cluster sorted in descending order of efficiency. Component matching between the Z data groups and Z refeeding clusters is completed by assigning data groups with larger data sizes to refeeding clusters with higher overall efficiency. Furthermore, in each matched data group and refeeding cluster, the datasets within the data group are sequentially assigned to the domain controllers within the refeeding cluster, thus performing the current round of refeeding testing. This application can reduce waiting time and resource waste during the testing process, significantly improving testing efficiency.

The application discloses a multi-platform adapted AI marketing content intelligent putting control system, and relates to the technical field of platform marketing putting, solves the problem that data transmission is lagged and putting efficiency and user experience are affected due to code rate mismatch, and lays a foundation for efficient putting by accurately adapting to the data transmission requirements of each platform and avoiding the problems of poor data transmission and resource waste caused by code rate mismatch through deep analysis of code rates of different platforms and different data formats, locking of characteristic code rate intervals, and innovative construction of an optimal sorting set according to the characteristic code rate intervals and data capacity, and optimization of transmission order through variance processing and other methods, which greatly improves data transmission efficiency and guarantees that marketing content can reach target users at the fastest speed, and enhances putting timeliness.

The embodiment of the invention provides an information processing method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence. The information processing method comprises the steps of receiving to-be-processed information; executing at least one time of information processing operation through the first sub-model based on the to-be-processed information to obtain an output information unit corresponding to each time of information processing operation until an information output condition is met, and combining the output information units corresponding to each time of information processing operation to obtain output information; the first sub-model comprises a part of structures in the trained depth model; the first sub-model comprises a plurality of network layers which are cascaded in sequence; the depth model further comprises a second sub-model arranged in the server; the second sub-model is used for correcting the output information when the output information does not meet the preset confidence coefficient condition. The information processing efficiency can be effectively improved on the premise that the data capacity of the terminal is met.

To provide a game machine capable of executing various kinds of performances regardless of a decrease in data capacity.SOLUTION: A slot machine 1 can execute processing for setting a first parameter regarding a first period when a performance based on a scenario is executed, determination processing capable of determining a second parameter regarding a period when a performance of at least one part for composing the scenario is executed on the basis of the first parameter, and processing for executing a performance on the basis of the scenario. A third parameter corresponding to the minimum period required for executing a performance based on the part is set to each of multiple parts. Distribution processing for determining the second parameter can be executed by distributing a parameter corresponding to a surplus period obtained by subtracting a total period corresponding to the total of the third parameter of all the parts composing the scenario from a period corresponding to the first parameter in the determination processing to at least one part from among the multiple parts composing the scenario.SELECTED DRAWING: Figure 11

The invention provides a data synchronization method, system and device based on a MySQL database, a medium and a product, and the method comprises the steps: sending a data synchronization application to a main library through a preset message channel, so that the main library responds to the data synchronization application, and calculates the main library data capacity of the main library; receiving the master library data capacity of the master library, and calculating the data capacity of the slave library to obtain the data capacity of the slave library; concurrency is determined according to the master library data capacity and the slave library data capacity; sending a data synchronization confirmation message to the main library; the data synchronization confirmation message carries the concurrency; based on the concurrency, receiving a consistency snapshot and a binary log sent by the main library, and transferring the binary log to a relay log; and replaying the relay log to realize data synchronization of the slave library. According to the method, data synchronization is realized between the master library and the slave library by using a multi-concurrency technology, rapid acquisition, transmission and writing of a large amount of data can be realized, and the data synchronization efficiency is improved.

The invention provides a document analysis method and device, a storage medium and an electronic device.The method comprises the steps that an initial document is segmented into a plurality of file fragments according to the document type of the initial document to be analyzed, and the data capacity of the file fragments is smaller than the preset capacity; according to the resource historical utilization rate and the document type, analyzing resources of a plurality of file fragments are distributed, the analyzing resources comprise a plurality of analyzing nodes with document analyzing capacity, and each analyzing node comprises a plurality of assembly line pipelines which are connected in series; and extracting document content slices of the plurality of file fragments by adopting the analysis resources, quantitatively calculating vector data of the document content slices according to slice content formats of the document content slices, and storing the vector data according to the slice content formats of the document content slices. According to the embodiment of the invention, the analysis efficiency maximization and the resource utilization rate optimization are realized on the whole system, and meanwhile, the analysis efficiency and the storage granularity of the document are improved.

The invention discloses a model storage acceleration system in a frequency domain convolution processing engine, relates to the technical field of radar signal processing, and can improve the size of model data participating in frequency domain convolution operation, the capacity of the stored model data can reach more than 1GB, and the capacity of the stored model data does not exceed 10MB due to the fact that in-chip storage does not exceed 10MB in a traditional implementation mode. The provided memory reading process can reduce the reading delay (us level), and can flexibly change the reading speed (the maximum reading speed can reach 4GB / s) at the same time; the designed storage method can improve the space utilization rate of the data in the memory.

The invention discloses a data storage system for information security, relates to the technical field of data storage, and solves the technical problem of resource waste or performance bottleneck caused by one-step storage by intelligently selecting a local storage mode or a distributed storage mode according to the type, capacity and delay demand of data. Local or distributed storage is dynamically selected on the basis of data capacity and delay requirements, network overhead is reduced through small-capacity and low-delay data localization storage, expansibility is improved through large-capacity and high-delay data distributed storage, the resource utilization rate is increased, through multi-copy backup of core data, temporary data is automatically deleted, and the data storage efficiency is improved. High-frequency / low-frequency data differentiation processing is combined, data security and space optimization are considered, a dynamic fragmentation strategy adapts to different capacity data, consistent hash and virtual nodes ensure data balanced distribution, hot and cold data layering and node performance grading realize dynamic load adjustment, and the access speed and the system stability are improved.

The invention discloses a fan monitoring data transmission method, device and equipment and a storage medium, which are applied to the field of data transmission, a monitoring data sending end analyzes a request instruction to obtain a serialization mode of fan monitoring data, encapsulates the fan monitoring data based on the serialization mode to obtain a response instruction, and sends the response instruction to a server; the response instruction is sent to the monitoring data receiving end; the monitoring data receiving end parses the response instruction based on a deserialization mode to obtain parsed data; and the monitoring data receiving end obtains a data enhancement model obtained by training based on historical fan monitoring data, and inputs the analysis data into the trained data enhancement model to obtain fan monitoring enhancement data. Data enhancement is carried out based on an artificial intelligence model, the problems of small data capacity and low frequency in a long-distance transmission process are solved, the data transmission efficiency and the data precision are improved, serialized packaging of data is realized through a request instruction, and the utilization efficiency of a channel is improved.

The embodiment of the invention relates to the technical field of operation and maintenance monitoring, and discloses an intelligent monitoring method, device and equipment based on backup data capacity and a storage medium, and the method comprises the steps: collecting the backup data capacity of each host from a backup system, carrying out the multi-scale time-frequency analysis of capacity change data, and obtaining feature data; determining a capacity change abnormal probability; determining the capacity change similarity; monitoring each host according to the capacity change abnormal probability and the capacity change similarity; if the abnormal probability of the capacity change of a plurality of hosts belonging to the same system is greater than or equal to a first threshold value and the similarity of the capacity change between two hosts is greater than or equal to a second threshold value, a normal system event occurs; and if the capacity change abnormal probability of the plurality of hosts is greater than or equal to a first threshold value and the capacity change similarity is less than a second threshold value, determining that a single-machine abnormal event occurs. Through the above mode, the embodiment of the invention can identify the cross-host system event, thereby greatly improving the accuracy of operation and maintenance monitoring.

Provided are an aircraft lightning probable area detection device, an aircraft lightning probable area transmission system, an aircraft lightning probable area detection method, and an aircraft lightning probable area detection program that suppress the data capacity and create an aircraft lightning probable area that enables intuitive understanding of aircraft lightning probable. An aircraft lightning probable area detection device includes: an information acquisition unit configured to acquire aircraft lightning probable information indicating a level of an expected lightning strike probability on a map; a data creation unit configured to create text data of an aircraft lightning probable area information on which the level of the expected lightning strike probability and a location are associated with each other by using the aircraft lightning probable information; and a transmission unit configured to transmit the text data to an aircraft.