192 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 solid state disk space active recovery method, device and equipment and a readable storage medium. The solid state disk space active recovery method comprises the steps that the capacity of to-be-written data is obtained, and the logic available capacity and logic effective data capacity of a solid state disk and data storage statistics of all storage units are obtained; calculating the actual available capacity of the solid state disk according to the data storage statistics of each storage unit; according to the to-be-written data capacity and the actual available capacity, the capacity needing to be recycled is obtained through calculation; and according to the to-be-recycled capacity, the data storage statistics of each storage unit and the read-write bandwidth, calculating to obtain the to-be-recycled duration. According to the method, through a space active recovery mechanism for controlling the solid state disk based on the host, proper space recovery can be performed in advance according to the capacity of the to-be-written data when the host has the requirement of writing the data into the solid state disk at a high speed, so that the space and performance of the host during subsequent high-speed data writing into the solid state disk can be ensured.

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 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 relates to a time sequence enhanced video question answering method and system, and relates to the field of time sequence video question answering. Comprising the steps of 1, constructing multi-dimensional time sequence instruction data; defining and defining five time sequence dimensions, establishing a data collection and screening process, and ensuring that the data preparation work of each time sequence dimension is complete; 2, multi-task time sequence instruction fine adjustment is carried out; constructing a plurality of time sequence auxiliary tasks, and finely adjusting the video question-answering model by using the collected data so as to enhance the time sequence question-answering capability of the model; 3, performing multi-dimensional time sequence question and answer evaluation; and for five time sequence dimensions, additionally collecting and constructing an evaluation data set, and evaluating the time sequence question-answering capability of the video question-answering model. A specific data collection and construction method is designed for each dimension, and a data basis is provided for enhancing the time sequence question and answer ability of the video question and answer model. The limitation of data capacity is broken through, and the time sequence question-answering capability of the video question-answering model can be effectively improved in multiple dimensions.

The invention discloses an electric power data acquisition method based on an electric power system, relates to the technical field of data acquisition, and solves the technical problem of dynamically adjusting the acquisition frequency and the acquisition period according to the actual condition of electric power data. And whether the current acquisition period and frequency setting are reasonable can be found in time. If the data format is not reasonable, the collection period corresponding to the historical data which is similar to the current time period and has the minimum collection period comparison value is screened out based on the historical data to serve as the adjustment standard, dynamic optimization of the collection period is achieved, and the transmission speed of the normal data format is obtained and sorted; and the relationship between the conversion response time of the conversion data format and the data capacity is analyzed, and the most suitable normal data format is selected for transmission according to the actually acquired power data capacity, so that the data acquisition and transmission efficiency can be improved.

The invention discloses a network security data transmission and encryption system and method based on privacy protection, relates to the technical field of data transmission, and solves the problems that the influence of conversion efficiency between different data formats on the overall transmission timeliness is not fully considered, so that the data transmission delay is too high, the real-time service demand cannot be met, and the data transmission efficiency is poor. According to the method, the conversion efficiency and the transmission speed of each transmission data format are calculated, a comprehensive selection value is obtained, a standard transmission format is selected, and the network data are automatically converted, so that the data transmission suitability and efficiency are greatly improved, and the transmission hindrance caused by the format problem is reduced; according to the parity of the data capacity of the high-capacity data packet, the processing mode of odd-bit or even-bit binary numbers is flexibly adjusted to cooperate with the overall reverse operation; and the small-capacity data packets execute operations such as reverse order and repeated data displacement in a classified manner according to whether repeated data exist or not, so that different types of attacks are resisted, and data privacy is protected.

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 discloses a hard disk data backup method, relates to the technical field of data backup, and solves the technical problems that the data diversity and complexity are not fully considered, and an effective screening and optimizing mechanism is lacked, so that the efficiency is low in the backup process. According to the method, the to-be-backed-up data is finely classified according to the data types and the time, different types of data can be quickly positioned and processed, important or recent data can be preferentially backed up by sorting the same type of data according to the time, the data management efficiency is improved, repeated data is accurately identified by adopting a hash value calculation mode, and the data management efficiency is improved. The latest data is reserved on the basis of data time, and the other repeated data generates a replacement template for storage, so that a large amount of storage space is saved, the data can be restored according to the replacement template when needed, the traceability and integrity of the data are ensured, segmentation, recombination and encrypted storage are performed in combination with data capacity, the storage space of a hard disk can be fully utilized, and the storage efficiency of the hard disk is improved. And the security of data backup is also improved.

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 relates to a data processing method of a key value storage system and the key value storage system. The key value storage system comprises a computing node, a distributed log service and a configuration center, the distributed log service is used for storing data in each log file, and the configuration center is used for storing configuration data and metadata of each log file; the computing node receives a data processing command; processing at least one of a hash table data structure stored in a memory, data stored in each log file, cache data stored in a cache layer of the memory, configuration data and metadata; the hash table data structure comprises multiple pairs of keys and values, and the values are log information for storing corresponding data. The method serves as a storage system based on the distributed log service, does not need to highly depend on a memory, and greatly improves the upper limit value of data capacity. Based on a designed hash table data structure, high availability of data is ensured. Separation of calculation and storage is realized, the utilization rate of resources is improved, and the flexibility and efficiency of calculation are improved.

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 discloses an optimization method of a distributed edge computing network, relates to the technical field of network transmission optimization, and solves the technical problem that the strict requirements of the distributed edge computing network on efficient and stable data transmission are difficult to meet due to lack of comprehensive perception and targeted optimization strategies for a network environment. Transmission paths are accurately classified into stable transmission paths and unstable transmission paths, data transmission planning is performed for different types of paths, and for the stable transmission paths, a reasonable transmission strategy is formulated according to a comparison result of the data capacity of high-demand data and the transmission capacity of the paths in unit time, so that the transmission efficiency is improved. High-efficiency transmission of high-demand data is realized; for an unstable transmission path, edge node storage or optimized transmission is performed according to the access frequency of low-demand data, the advantages of each transmission path are brought into full play, and the situation of unreasonable utilization of the transmission path is avoided.

The invention belongs to the technical field of vehicle dynamics control, and particularly relates to a vehicle control system on-line feedback correction state prediction method based on multi-order information, which comprises the following steps of: firstly, realizing on-line prediction calculation on the multi-order information according to a current system state value, a state change rate, a change acceleration and a permissible tolerance range; according to the information calculation result and the actual deviation degree of the actual state value, differentiated judgment and correction are carried out on the state change rate and the prediction time step length, and a data identification process under limited information is obtained; and reverse iterative optimization is carried out according to different adopted correction modes, so that the optimal prediction and correction calculation process of the system state under different constraint conditions is realized. According to the method, the finite information is analyzed and deeply mined, so that effective analysis of data is realized on the premise of finite data capacity, information prediction in a confidence time step length and interval is realized on the basis of not increasing extra cost, and effective prediction state information is acquired in a time domain.

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.

To provide a game machine capable of reducing data capacity.SOLUTION: Reel control means performs stop control using first stop control data that can cause a small winning combination 3 to be won when a winning area "Common Bell" is won in an internal lottery and a game state is a bonus state, and performs stop control using second stop control data that can cause a small winning combination 8 and a small winning combination 9 to be won when the winning area "Common Bell" is won in the internal lottery and the game state is a non-RT state. The reel control means can cause the small winning combination 3 to be won by performing stop control using the first stop control data when a winning area "All Small Winning Combination" is won in the internal lottery, and performs stop control using second stop control data and causes the small winning combination 8 and the small winning combination 9 to be won by performing stop control when a winning area "All One Winning Combination" is won in the internal lottery.SELECTED DRAWING: Figure 29

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 invention discloses a three-dimensional monitoring method and system for rainfall flood resources, and relates to the technical field of rainfall flood resources, and the method comprises the steps: collecting rainfall flood resource monitoring data in real time through a local collection terminal, splitting the real-time monitoring data into rainfall flood monitoring data and rainfall flood verification data through a rainfall flood data processing terminal, according to the mode, the verification and correction functions of the transmission data are integrated, the integrity and accuracy of the rainfall flood resource monitoring data are ensured, the rainfall flood verification is generated based on the rainfall flood resource monitoring data, the character number of the rainfall flood verification word string is consistent with the reduced character number of the rainfall flood monitoring data, and the accuracy of the rainfall flood verification is improved. Therefore, it is effectively ensured that the data volume of the transmission of the rainfall flood resource monitoring data is not increased due to the increase of the verification data, the data capacity of the cloud for rainfall flood monitoring is greatly reduced, and the pressure of the cloud is effectively relieved.

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 discloses a data sharing system based on the P2P technology, and relates to the technical field of data sharing, data pre-shared by a user is obtained through a client module and is shared to other trusted clients, an equipment scoring unit scores the trusted clients, and the trusted clients are shared by the equipment scoring unit. The sharing analysis unit periodically analyzes the data capacity and click time of all the shared data and calculates a sharing capability evaluation amount in combination with an equipment score, and the sharing management unit intercepts a plurality of trusted clients according to the sharing capability evaluation amount to obtain a sharing management table; then, after a certain client module pre-shares the data, a sharing client is preferentially selected from the sharing management table, and the sharing client replaces the transfer service unit to carry out data sharing operation, so that the load pressure of the server on the shared data can be greatly reduced through the mode; and meanwhile, the shared resources of the trusted client can be reasonably utilized as much as possible.

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 present invention relates to the technical field of wireless communication networks, and is a satellite network adaptive switching method and system based on dynamic evolution of space, comprising: obtaining multiple ground stations and multiple low earth orbit satellites in a target area, obtaining a historical data set of the ground station, importing the historical data set into a pre-trained neural network model to obtain a predicted data set, obtaining a satellite-to-ground channel between the low earth orbit satellite and the ground station, calculating data capacity according to the satellite-to-ground channel, obtaining an identification channel using the data capacity, building a regional satellite network based on multiple identification channels, and using the regional satellite network to generate a pre-allocation strategy, calculating a reliability value of the pre-allocation strategy, generating a reliable satellite network based on the reliability value, and completing the satellite network adaptive switching based on the dynamic evolution of space after transmitting the data set to be transmitted based on the reliable satellite network. The present invention can achieve rapid switching after accessing different low earth orbit satellites, and adaptively allocate data transmission.