142 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 a drawing psychological assessment digital service management system, relates to the technical field of digital management, and solves the technical problems that a common data encryption mode may have a leakage risk and lacks an effective encryption protection mechanism when facing hostile attacks. Different numbers of random salts are generated according to the data capacity tail value of the complete data packet, and are ingeniously inserted into the complete data packet, so that the complexity of data encryption is greatly increased, even if encrypted information is acquired, the encrypted information is difficult to crack through a conventional means, the security of data in the transmission and storage process is improved, and the security of the data is improved. Random salt encryption is adopted, the spliced data are segmented and recombined to obtain secondary processing data, then the secondary processing data are encrypted through a hash function to generate encrypted information, and by means of the multi-layer encryption mode, multiple security defense lines are constructed to enhance the confidentiality and integrity of the data.

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 embodiment of the invention discloses a data storage method and related equipment. The related equipment can comprise a data storage device, electronic equipment, a computer program product and a computer readable storage medium. According to the embodiment of the invention, after at least one piece of to-be-stored data and the data attribute information of the to-be-stored data are obtained, the data capacity of the to-be-stored data is identified in the data attribute information; the to-be-stored data is transferred to a second storage space of a second storage medium through a first storage space of the first storage medium, the writing speed of the first storage medium is larger than that of the second storage medium, and when the data capacity exceeds a preset data capacity threshold value, the to-be-stored data is written into the second storage space of the second storage medium; according to the scheme, the storage efficiency of data storage can be improved. The embodiment of the invention can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic, auxiliary driving and the like.

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.

A storage system with storage drives and a processing device establishes resiliency groups of storage system resources. The storage system determines an explicit trade-off between data survivability over resource failures and data capacity efficiency, for the resiliency groups. Responsive to adding at least one storage drive, the storage system establishes re-formed resiliency groups according to the explicit trade-off, without decreasing data survivability. The storage system may bias to have more and narrower resiliency groups to increase mean time to data loss.

The invention discloses a power grid basic data knowledge graph construction method, and the key points of the technical scheme are that data collection is used for obtaining various types of required power basic data, data cleaning is used for carrying out the preprocessing and knowledge extraction of the collected data, and the knowledge graph is obtained; and the data processing module is used for identifying concepts, entities, attributes and relationships in the power field from the preprocessed data and converting the concepts, entities, attributes and relationships into triads or knowledge representations in other standard formats, so that various power basic data can be cleaned, and then knowledge extraction and fusion can be performed on the preprocessed and cleaned data to obtain the data. According to the method, optimized data can be extracted to the greatest extent, the data capacity is reduced, the data redundancy is reduced, and the consistency and reliability of the data are improved, so that the formed knowledge graph has extremely high practicability and reliability, and various power basic data can be fully and effectively processed; and therefore, the value of various electric power basic data can be completely exerted.

To provide a file management apparatus which allows relevant files, which are related to an object file, such as a document, to be accessed when associating the relevant files, regardless of locations where the relevant files are stored, and can reduce data volume of the object file as compared with a case where all relevant files are attached.SOLUTION: A file management apparatus includes at least one processor. The processor acquires information on an object file, a storage location of a relevant file related to the object file, and a viewer. When the viewer is allowed to access the storage location of the relevant file, the processor provides information on the storage location of the relevant file to the viewer. When the viewer is not allowed to access the storage location of the relevant file, the processor provides the relevant file to the viewer.SELECTED DRAWING: Figure 1

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.

A method of assigning data capacity to network slices in a mobile communications network comprises acquiring identifiers of the network slices managed by a device, an indication of types of services being provided in the identified network slices, number of data radio bearers (DRBs) served by each network slice and number of DRBs served by each service type in each network slice; adding the acquired identifiers, indication of types of services being provided, number of DRBs served by each network slice and number of DRBs served by each service type in each network slice; computing a slice weight for the data capacity to be assigned as a product of an initial weight indicating the data capacity being assigned and the number of DRBs divided by a sum; and assigning the data capacity to said each network slice in accordance with the computed slice weight.

The invention relates to the technical field of electric power engineering, in particular to an electric power scene visual key information side end compression and transmission system, which comprises the following steps of: when wireless network transmission is invalid or does not meet the image data transmission requirement, loading a variable-length code with verification of an image at each sampling moment to a carrier wave in a millimeter wave reference signal form for modulation; obtaining a millimeter wave modulation signal; transmitting the millimeter wave modulation signal to a monitoring work station through a millimeter wave transmission channel, so that the monitoring work station demodulates the millimeter wave modulation signal and obtains image edge information; and when the light intensity is weak or the power scene is shielded, processing the multi-frame millimeter wave echo point cloud data, obtaining the information of the invasive or dangerous object, fusing the information with the edge information of the corresponding timestamp image, and then carrying out non-maximum suppression operation to obtain target fusion information. According to the invention, the transmission data capacity is reduced, the continuous transmission of information is ensured, the adaptability of the system in a complex network environment is enhanced, and the safe and stable operation of the power system is maintained.

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 relates to the technical field of information technology, and discloses a high-performance data lake data service technology based on kernel bypass, which particularly has high-frequency and real-time requirements on data management and query response capability of a high-performance distributed data lake through digital twinning, especially data query and analysis oriented to spatio-temporal information. A data lake platform needs to support high-frequency irregular data with different data capacities and data distributed at different storage nodes and has timely response capability. According to the invention, the data access plug-in based on the kernel bypass technology is realized at the client, and the corresponding kernel bypass support is performed at the data server, so that the data access service oriented to multiple interfaces, multiple data types and high concurrency is realized, and the delay caused by operating system level switching is reduced through the direct interaction between the user layer and the network driver, and the data access efficiency is improved. And a data transmission path is optimized based on spatial topology, so that the response capability of the query system 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.

To provide a remote support system or the like capable of restricting an error from occurring in a remote support.SOLUTION: A processor of a remote support system receives through a wireless communication line, an image data set to be transmitted from an autonomous travel device for each transmission period in response to photographing of an environment and also a recognition data set to be transmitted from the autonomous travel device for each transmission period by a data capacity smaller than that of the image data set while including at least position information related to a target recognized in the environment. When a reception delay level of the image data set is out of a permission range with respect to this reception period, the processor allows an image data set received in this reception period to be replaced with a processed data set which is generated from the image data set received in the reception period before the preceding period by processing to allow a target image expressing the target to appear at a position predicted in correlation with the recognition data set which is received in this reception period, and then, displays the processed data set in a remote operator.SELECTED DRAWING: Figure 5

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.

The present application discloses a data cache management method, apparatus, terminal device, and storage medium. The data cache management method includes: when a query request is received, determining a corresponding target interface; detecting whether the target interface exists through a preset access filter to obtain a detection result; and querying data in a preset multi-level cache database based on the detection result to obtain target data. Based on the solution of the present application, by caching data in high-traffic business scenarios from the dimension of interfaces, it is possible to preferentially cache high-traffic API interfaces and set up a multi-level cache database, such that the performance and data capacity of each level of cache database for data caching are different, solving the technical problems of poor data cache performance and low flexibility in high-traffic business scenarios, and improving the overall performance and flexibility of the data cache system.

The invention discloses a building energy consumption management system based on a BIM building, and relates to the technical field of energy consumption management. According to the invention, the processing analysis module is arranged to comprehensively analyze the formatting processing duration and the processed data capacity of the energy consumption parameters of all the monitored cells to determine the processing evaluation quantity of the energy consumption parameters of all the monitored cells; a format distribution management unit is set to periodically analyze the data capacity of the monitoring data of all the stored monitoring parameters in combination with the processing evaluation quantity of the monitoring data to determine periodic cloud distribution parameters, and the monitoring data of the cloud distribution parameters are formatted by a cloud energy consumption format processing terminal; in this way, part of energy consumption parameter monitoring data which needs format processing and is large in data capacity and low in local processing efficiency are placed in the cloud energy consumption format processing terminal to be processed, and the situation that too many idle processing resources are wasted in the cloud energy consumption format processing terminal is avoided.

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 present application provides a multi-dimensional code construction method and a multi-dimensional code recognition method. The construction method includes: classifying data information based on category information to obtain X-level data, dividing each level of data in the X-level data into blocks to obtain multiple blocks of each level of data; for the X-level data, encrypting multiple blocks of each level of data respectively to generate N two-dimensional codes; obtaining random sorting information of the N two-dimensional codes; setting the N two-dimensional codes on the spatial positioning image of the three-dimensional code based on the random sorting information; constructing the random sorting information into the spatial positioning image of the three-dimensional code based on the hidden factor rule of the two-dimensional code to generate a three-dimensional code; and declaring the hidden factor rule of the two-dimensional code in the dimension information of the three-dimensional code. A three-dimensional code is composed of multiple two-dimensional codes, and by analogy, a multi-dimensional code is composed to realize the construction of a multi-dimensional code based on two-dimensional codes, expand the data capacity through the multi-dimensional code, and improve data security.

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.