4047 results about "Storage area" patented technology

The invention provides a Docker Registry management optimization mode. The Docker Registry management optimization mode comprises the steps that based on Docker Registry management requirements, a Docker Registry native management mode corresponding to the management requirements is determined; based on the management requirements, a corresponding optimization management mode is determined; optimization is conducted on the native management mode through the optimization management mode, and corresponding Docker Registry management operation is conducted through an optimized operational order. According to the embodiment, the problems that the native Docker Registry control operational mode is unfriendly, management operation is complex, and the network operation and maintenance cost is too high are solved. For example, storage catalogs of mirrored documents are changed to cluster-type share mirrored storage equipment from a local storage area, namely, single-machine mirrored storage is changed to cluster-type mirrored storage, and on the condition of large-scale cluster-type machinery equipment, the mirrored document maintenance cost can be greatly lowered. For another example, by means of the mode that multiple Registry service operation is simplified, the operating difficulty of Docker Registry management is lowered, and the network maintenance operational experience is improved.

The invention relates to the technical field of storage visual management, in particular to a chemical storage digital visual management system and method. The method comprises the following steps: deploying environment monitoring equipment for a storage area, constructing a multi-parameter fusion intelligent sensing network, and collecting temperature and humidity, gas concentration, pressure and vibration parameters in real time to obtain real-time environment data; based on the real-time environment data, evaluating a storage safety state, identifying an abnormal behavior and evaluating an environment risk to obtain a safety risk evaluation result; and deploying a distributed emergency response network based on a security risk assessment result, dividing risk levels and formulating a multi-level response strategy to obtain an emergency response execution scheme. According to the invention, a chemical warehouse management closed-loop system integrating multi-dimensional perception, intelligent analysis, dynamic control and three-dimensional visualization is constructed, so that accurate and safe management and control of a whole process, a whole space and a whole state are realized.

The invention discloses an intelligent port cargo scheduling system and method based on the Internet of Things, relates to the technical field of intelligent port logistics scheduling, and realizes dynamic adaptive adjustment of a port scheduling strategy by constructing a full-chain linkage mechanism of real-time sensing, intelligent analysis, dynamic decision, accurate execution and closed-loop feedback. The system can automatically expand or contract the boundary of the storage yard buffer area according to the congestion index of the core operation area and ship tide prediction, and synchronously adjust the AGV and the yard bridge scheduling rule, in the peak tide period, the AGV preferentially guarantees the rapid transfer of cargoes in the core area, the efficiency loss caused by long-distance transportation is avoided, and the transportation efficiency is improved. In the low ebb backflow period, goods in the elastic storage area are actively moved to the core preparation area in advance, layout is conducted in advance for the follow-up operation peak, the dynamic scheduling mode can effectively cope with severe fluctuation of the port operation amount, all the operation links are kept efficient and cooperative all the time, and the adaptability and response capacity of the port in the complex operation environment are greatly improved.

The invention relates to the technical field of integrated circuits and computer networks, and particularly discloses a transmission control and intelligent scheduling system for an integrated chip, and the system sets a dual-mode decision and dynamic switching mechanism for each routing node. Calculating dynamic characteristic parameters including an instantaneous value, a first-order trend and a second-order acceleration; when the parameter is matched with a pre-stored abnormal feature set and the load exceeds a threshold value, the node is immediately atomized and switched to a predefined security scheduling strategy loaded from a shared storage area, and otherwise, the node generates a scheduling decision according to self-adaptive decision logic continuously optimized based on historical performance feedback; all the nodes carry out data packet forwarding control according to the current execution strategy; and the system also periodically realizes federated global knowledge evolution according to the quality evaluation result of the self-adaptive decision of each node.

A temperature control device includes a temperature detector, a difference operation unit, a controller, a saturation processing circuit unit, a rewritable storage unit, and a conversion unit. The difference operation unit operates a digital value corresponding to a difference value between a detected temperature value and a target temperature. The controller calculates a manipulated variable using the digital value operated by the difference operation unit. The saturation processing circuit unit includes a digital circuit to limit an output value of the controller to a pre-set upper limit value. The rewritable storage unit stores the upper limit value read from a storage area of the rewritable storage unit and input into the saturation processing circuit unit. The conversion unit converts the output value of the saturation processing circuit unit into an analog signal to output the converted value as a control command value to the heater.

The invention relates to the field of electric power material warehouse management and control, in particular to an electric power material digital intelligent professional warehouse management and control method, which comprises the following steps: acquiring electromagnetic spectrum data, identifying a central frequency point energy distribution diagram and an electromagnetic interference intensity level, constructing a three-dimensional electromagnetic field intensity distribution model of a professional warehouse, and dynamically adjusting the working mode of an RFID reader-writer; the method comprises the following steps: deploying a multi-modal check node in a storage area of a professional warehouse, and generating a composite check result through an infrared contour matching method and a UWB coordinate verification method when the confidence coefficient of electric power material data read by an RFID reader-writer is lower than a preset confidence coefficient threshold value; updating an electric power material inventory database according to a composite verification result, and performing electric power material inventory state analysis in real time through an edge computing node; the problems that inventory data distortion and material positioning deviation are caused by reduction of the accuracy rate of RFID in a strong electromagnetic environment, and inventory accuracy management of an electric power material warehouse is seriously restricted are solved.

The invention provides an agent memory management method and device based on asynchronous processing and a storage medium. The method comprises the following steps: after an interaction event is written into a first storage area, issuing a processing event associated with an event identifier to an event queue, and reading the corresponding interaction event from the first storage area according to the event identifier; when the interaction event passes the importance judgment, converting the interaction event into structured memory data; determining second storage areas based on the type identification field of the structured memory data, and respectively writing the structured memory data into at least one second storage area; and analyzing the query request to obtain a query condition, determining at least one target second storage area based on the query condition, reading structured memory data related to the query request from the target second storage area, performing aggregation processing, and outputting the aggregated memory data to the agent to generate a response result. According to the method, the interaction response delay can be reduced, the model calling cost is reduced, and the memory processing auditing performance is improved.

The invention discloses a data management method and device, electronic equipment and a medium, and the method comprises the steps: responding to obtained transmission data of first equipment, extracting the transmission data, and obtaining a check code and equipment information; when it is confirmed that the transmission data is qualified according to the check code, desensitizing the transmission data, and determining an encryption confidentiality level mode corresponding to the transmission data according to the equipment type indicated by the equipment information; according to an encryption method corresponding to the confidentiality level, encrypting the desensitized transmission data by adopting an encryption mode to obtain encrypted data; performing desensitization processing and identification processing on the encrypted data to obtain encrypted identification data after desensitization processing; and storing the encrypted data identification data after the desensitization processing to a target storage area. The method can be applied to the business fields of financial science and technology, medical health, old-age care and the like, the overall data safety is improved, privacy protection of sensitive information is increased, meanwhile, the data management and tracing capacity is improved, and balance between safety and performance is achieved.

The invention relates to the technical field of vehicle vision calibration, and discloses a DMS camera calibration method based on computer vision. The method comprises the following steps: acquiring a multi-view original image sequence in a target vehicle cockpit, and synchronously acquiring a camera mounting position, a view angle, an inclination angle and an environment illumination intensity parameter; after distortion correction is carried out on the original image sequence, edge features of a calibration reference object in each frame of image are extracted through image recognition, and an initial calibration matrix containing a mapping relation between pixel coordinates and physical coordinates is generated; constructing a three-dimensional space projection model based on the initial calibration matrix, and adjusting rotation and translation parameters of the model by using an iterative optimization algorithm to enable the error between a virtual imaging position and an actual edge feature to be minimum; and extracting an internal parameter matrix and an external parameter matrix of the optimized model, fusing the internal parameter matrix and the external parameter matrix into a final calibration parameter, and writing the final calibration parameter into a DMS camera firmware storage area. According to the method, the DMS camera calibration accuracy and environmental adaptability are improved, and stable technical support is provided for driver state monitoring.

A smart shopping cart identifies items using cameras and sensors. The cart captures images of items within its storage area and applies machine-learning models, such as a barcode detection model, an OCR model, and an image embedding model, to generate identifier predictions. These predictions are processed using an efficient selection algorithm, which may involve majority voting, weighted voting, or linear regression, to select the most accurate identifier. The cart updates its display and user interface with the identified item. The process may be performed primarily by the CPU to enhance computational efficiency, avoiding the latency associated with GPU data transfer. Additional techniques, such as circular buffers and frame skipping, are employed to further optimize resource usage.

The invention relates to a method and system for encrypting and isolating storage data of a credential mobile terminal, and belongs to the technical field of information. The method comprises the following steps: encrypting and partitioning the whole storage area, and setting an access strategy according to user permission; when a user requests to access, executing multi-factor authentication containing a password and an external hardware certificate, and adding biological characteristic authentication; after the authentication is passed, an encryption key is taken from the domestic security chip; and encrypting and decrypting data by using the secret key, and opening corresponding partition access according to authority. The system comprises a storage partition module, an identity authentication module, a key management module, an encryption and decryption module and an authority control module and is used for executing the method. The method also comprises the steps of equipment startup trusted boot and firmware upgrade verification, is based on a custom curing system, and is compatible with Android 10 +. The problems of poor hardware controllability and positioning security risk of the creative mobile terminal are solved, and full-link data security protection is realized.

The invention discloses a double-layer BootLoader method for supporting a UDS service of a new energy automobile, and the method comprises the steps: S1, starting a first layer BootLoader after a system is powered on, executing hardware initialization, receiving an external diagnosis instruction according to a UDS protocol, and judging whether a legal firmware updating request exists or not; if the updating request exists, entering a downloading mode; s2, new firmware data are received in a segmented mode through the block transmission function of the UDS service, signature is conducted after data integrity is verified in real time in the receiving process, then the first layer BootLoader temporarily stores new firmware in a backup storage area, version information is updated, and then system reset is triggered; s3, after the system is reset, activating the second layer BootLoader, reading the new firmware written into the backup storage area, verifying the integrity and function logic of the firmware again, and if verification fails, rolling back to the original version and recording an error log; and if the verification is successful, the second layer BootLoader skips to the updated application program area for execution. The firmware integrity is guaranteed, and system paralysis caused by single-point failure is avoided.

The embodiment of the invention provides a question and answer management method and device based on a large model, a storage medium and a program product. In the scheme, a'short-term first and long-term 'progressive recall strategy is introduced, that is, in a storage stage, session abstracts are generated in a segmented manner under the condition that whether the collection frequency of a preset round and the topic category are changed or not, the session abstracts are sequentially written into a short-term memory storage area and sink to a long-term memory storage area after the preset storage duration is reached, and a subsequent recall path is pre-buried; in the acquisition stage, the latest abstract closest to the current round is recalled from the short-term region, and if the abstract is missing, the cross-session or cross-round historical session abstract continues to be complemented from the long-term region. According to the mechanism, session context management of'instant light and thin 'and'long-term consistent' is considered under the condition that the computing power and the bandwidth cost are not remarkably increased, accurate contexts are provided for complex session scenes with long-period, multi-topic and multi-file cooperation, and a large question and answer model can make more accurate and more consistent questions and answers based on complete and related context information.

The invention relates to the field of agricultural product cold-chain storage, and discloses an intelligent management monitoring system for agricultural product cold-chain storage and transportation, which comprises the following steps: synchronously sensing operation states and operation behaviors of agricultural product storage units and cold source equipment to form a data input sequence with operation association semantics; introducing a dynamic sampling mechanism based on operation event triggering into the data input sequence, and constructing a continuous evolution feature set reflecting local cold chain stability; performing time sequence analysis on a temperature and humidity parameter recovery track and a cooling capacity response rhythm presented in the continuous evolution characteristic set; delimiting a storage area corresponding to the risk evolution fragment as a key monitoring unit, and constructing an operation influence association model for describing a local cold chain constraint relationship; and performing linkage adjustment on the sensing node acquisition strategy, the monitoring update frequency and the cold source scheduling parameters under the constraint relation limited by the operation influence correlation model. The method has the advantage that the controllability of the cold chain operation process is improved.

The invention discloses a metadata prefetching method and device, a storage medium, electronic equipment and a program, and relates to the field of metadata management of a distributed storage system.The metadata prefetching method comprises the steps that a first information block corresponding to a metadata operation event in a target storage area of each node is obtained; updating the three-dimensional correlation degree between any two metadata in each node according to the first information group; determining a prefetching priority corresponding to any two pieces of metadata through the updated three-dimensional correlation degree; and generating a heat association list of the metadata in each node according to the prefetching priority, and respectively sending the heat association lists corresponding to the plurality of nodes to the client so as to indicate the client to prefetch the target metadata in the plurality of nodes according to the plurality of heat association lists. Through the method and the device, the problem of low pre-fetching accuracy caused by dependence on static path association of the metadata and poor cross-node adaptability of a pre-fetching method for the metadata in a distributed storage system is solved, and the pre-fetching accuracy is improved.

Systems and apparatus for implementing a mobile energy system. In one aspect, a mobile energy system includes a cabinet having an interior space defined by an outer surface of the cabinet, where the interior space can include a battery storage area configured to receive a battery energy storage system having at least 2 kWh of storage capacity. The mobile energy system can also include an item storage area configured to receive and store one or more other items, a connector configured to connect a battery energy storage system located in the battery storage area to an external power source, and a charging cable configured to connect the battery energy storage system to a charging port of an electric vehicle.

The invention relates to a firmware upgrading method and electronic equipment. The method comprises the following steps: in a first stage of upgrading, constructing upgrading meta-information according to a current partition table and a to-be-upgraded firmware data storage area base address obtained by calculating to-be-upgraded firmware meta-information, and according to a block list description file, updating the to-be-upgraded firmware data storage area base address; in the first-stage upgrade, a partition table file with a preset name in a firmware upgrade package under a preset firmware upgrade package path of an encrypted preset user data partition and all to-be-upgraded firmware mirror image files are stored in an address space determined by a base address of a to-be-upgraded firmware data storage area; and determining a to-be-upgraded firmware data storage space end address and a to-be-upgraded firmware data moving base address according to the guide communication partition address space change mark, and copying data in an address space determined by the to-be-upgraded firmware data storage space end address to the to-be-upgraded firmware data moving base address. According to the invention, under the condition of user data partition encryption, the firmware with any change of the partition table can be safely and reliably upgraded.

The invention discloses a medical consumable use compliance monitoring method and system based on the Internet of Things, and relates to the technical field of medical Internet of Things consumable intelligent supervision and risk prevention and control, and the method comprises the steps: S1, continuously collecting the temperature and humidity data of a medical consumable storage region through an environment sensor, and generating an environment state signal; s2, identifying the electronic tag information of the operated consumable through an RFID reader-writer, and generating a consumable identity signal and a verification signal; s3, receiving the environment state signal, the consumable identity signal and the authorization verification signal by the central processing platform, and matching the signals with a pre-stored compliance rule base in real time; s4, generating a compliance execution signal to trigger the intelligent cabinet to unlock the consumable or generating a secondary violation alarm signal and freezing the consumable access authority; and S5, the consumable package unsealing state is monitored through a weight sensor, and a use starting signal is formed. The medical consumable use compliance monitoring method and system based on the Internet of Things can solve the problem of lack of real-time compliance monitoring in the medical consumable use process.

The invention relates to an electric power mobile application security protection method based on a swan gap microkernel, which comprises the following steps of: S1, establishing a hardware trust root, and storing a device root key and a certificate chain by utilizing a non-tampering storage area built in a chip; s2, establishing a complete trusted boot chain based on a hardware root of trust, and verifying the integrity and credibility of the next layer by each layer from Bootloader to a swan microkernel and then to an application program; s3, constructing a triple authentication system based on user identity, equipment identity and biological characteristics, and performing user authentication; s4, according to a user authentication result, realizing fine-grained authority control based on an RBAC model and ABAC, and ensuring that authority check can be executed during resource access every time by utilizing an IPC security mechanism of a swan micro kernel; and S5, creating an independent execution environment for each power application according to the process isolation capability of the swan microkernel, and ensuring that memories among the applications cannot be mutually accessed through virtual address space isolation. The reliability of power mobile application safety protection is effectively improved.

The embodiment of the invention provides a data processing method and device for large model parameters, equipment and a medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: obtaining a quantization matrix and a meta-parameter of a target large model from different partitions of a first data storage area of a memory, reading memory access granularity representing the data processing capability of a processor, and determining the size of a filling area between the insertion meta-parameter and the quantization matrix based on the memory access granularity; dividing a second data storage area different from the first data storage area in the memory, and sequentially writing the meta-parameter, preset filling information matched with the filling area in size and the quantization matrix into the second data storage area to obtain an initial data atomic block; and continuously arranging all the initial data atomic blocks in the second data storage area to obtain a target data atomic block. By optimizing the data storage mode, the memory bandwidth utilization rate of the processor in the reasoning process is improved, and then the data calculation efficiency of the processor is improved.

The invention discloses a concurrency control method and device, electronic equipment, a storage medium and a product. The method is applied to a concurrency control system comprising a processor and a bus controller, and comprises the steps that the processor responds to an atomic operation request of a target thread and sequentially sends a storage area switching instruction and a register operation instruction to the bus controller; the bus controller responds to the storage area switching instruction and the register operation instruction, executes storage area switching operation, generates a bus occupation maintaining signal and continuously executes register read-write operation in a target storage area; the processor sends a scheduling request to an operating system, so that the operating system improves the priority of the target thread to be a first priority; and the bus controller generates a bus release signal after the atomic operation of the target thread is finished. According to the scheme, through cooperation of the processor and the bus controller, atomized execution of thread Bank switching and register reading and writing is achieved, and the concurrency performance is improved while the reliability and consistency of data are ensured.

The invention discloses a data tracing method and device based on a runtime snapshot. Comprising the steps of generating a runtime memory snapshot file based on report traceability information; analyzing the runtime memory snapshot file, extracting all keys in the first mapping relation to construct a header character set, and querying N metadata identifiers corresponding to N header characters according to the first mapping relation; accessing a report data result storage area based on the N metadata identifiers to obtain a data value list, and rendering to generate a visual report snapshot; for each metadata identifier, extracting the metadata identifier of each metadata which directly depends on and indirectly depends on the metadata identifier from the task detail information associated with the metadata identifier, and obtaining a single metadata tree based on the hierarchical dependency relationship among the metadata; rendering and generating N metadata tree snapshots based on the N metadata trees; and displaying the metadata circulation process corresponding to the abnormal data value by skipping to display the metadata tree snapshot of the metadata identifier corresponding to the report data column where the abnormal data value is located.

The invention discloses a power distribution terminal upgrading method, system and device based on an SD card and a medium. The method specifically comprises the steps of generating an incremental package of a Linux kernel and / or a root file system, calculating a hash value file of the incremental package, and generating a block chain certificate with a timestamp; encrypting and packaging the incremental package, the hash value file and the block chain certificate into a container mirror image, performing digital signature to form an upgrade package, and writing the upgrade package into an SD card; after it is detected that the SD card is inserted, mounting a boot partition, analyzing metadata of an upgrade package, and setting an upgrade flag bit and an upgrade operation type of Boot; and performing digital signature verification, hash value file verification and block chain certificate verification on the upgrade package in the SD card, if the verification is passed, backing up user parameters to the encrypted storage area, and restarting to enter the Recovery OS to complete replacement upgrade of the Linux kernel and / or the root file system. According to the method, safe, efficient and flexible upgrading of the operating system of the power distribution automation terminal is achieved, the rollback function is achieved, and the upgrading risk and cost are effectively reduced.

The invention provides a cloud storage method and system for Internet of Things equipment data, and relates to the technical field of Internet of Things data storage and processing, and the method comprises the steps: collecting metadata of a plurality of Internet of Things equipment in an Internet of Things environment; performing tagging processing on the metadata to form a standardized data packet; performing hierarchical compression processing on the standardized data packet, and extracting multi-dimensional features from the data packet after the hierarchical compression processing; inputting the multi-dimensional features into a multi-modal neural network model based on deep learning, analyzing the multi-dimensional features through the multi-modal neural network model, generating a target storage priority index, and determining a corresponding security level according to the target storage priority index; and based on the security level, performing differential encryption processing on the data packet after hierarchical compression processing by using a lightweight encryption algorithm, and transmitting the encrypted data packet to a storage area corresponding to the cloud. According to the invention, the efficiency and security of Internet of Things data storage are improved.

The invention provides a cold and hot data dynamic migration method and device, a storage medium and computer equipment. Multi-dimensional feature data corresponding to business data to be migrated is obtained. And then inputting the multi-dimensional feature data into a preset intention prediction model to obtain the access probability of the business data in a future period of time, and accurately quantifying the expected popularity of the data. And then obtaining a current access probability threshold value, and performing cold and hot storage migration on the business data according to a storage area where the business data is located according to comparison between the dynamically calculated access probability and the access probability threshold value. In the process, the future access probability of the data is accurately predicted through the extracted multi-dimensional feature data, so that the change of a service access mode is dynamically adapted, the dynamic balance between the storage cost and the query performance is realized, and the flexibility and the adaptivity of cold and hot data migration are improved.

The invention provides a firmware upgrading method and device and a storage medium, the method is applied to a platform firmware recovery system, the system comprises a first processing module and a second processing module, and the method can be applied to the platform firmware recovery system. The method comprises the steps that a first processing module obtains an upgrading attribute parameter and to-be-upgraded firmware of at least one target system component; the first processing module processes all the to-be-upgraded firmware so as to store all the to-be-upgraded firmware to target storage partitions corresponding to all the target system components; wherein each storage partition corresponds to at least one system component; and the first processing module sends an upgrading instruction to the second processing module based on the upgrading attribute parameter, so that the second processing module flashes each firmware to be upgraded from the target storage partition to the firmware storage area of each target system component based on the upgrading attribute parameter by adopting a concurrent execution mode. Through the technical scheme of the invention, concurrent firmware upgrading of a plurality of system components can be realized.

The invention relates to the technical field of intelligent power grids, and provides a remote software upgrading method for an intelligent electric energy meter, which comprises the following steps: S1, a server generates an upgrading package containing a version identifier, and transmits the upgrading package to the intelligent electric energy meter in a fragmented manner through a TLS encryption channel; s2, the intelligent electric energy meter doubly verifies the integrity of the upgrade package and the legality of the source through an SHA-256 check code and a digital signature, the upgrade package and the source legality are written into a backup storage area of the Flash memory after verification is passed, and a CRC write-in check value is recorded; s3, performing secondary verification on the upgrade package of the backup storage area, triggering restarting after verification is passed, and writing data of the backup area into the main partition in the restarting process; s4, if the main partition system is not started or the core function is abnormal within the set time, returning to an old version and generating a fault log containing a timestamp; through a dynamic subpackage strategy, differential upgrading, SHA256 verification, a watchdog mechanism and a fault log record, the upgrading efficiency and safety of the intelligent electric energy meter are remarkably improved, and the dynamic subpackage strategy dynamically adjusts the size of a data packet according to the network condition.

The invention discloses a warehousing system for waste automobile power batteries, and relates to the technical field of warehousing management, and the system comprises a safety evaluation module which analyzes a feature data set through an artificial intelligence algorithm, and generates safety risk level labels and recommended storage environment parameters of the power batteries; the configuration scheme generation module automatically classifies and dispatches the safety risk level labels of the power batteries to the matched storage areas, configures a temperature and humidity control device according to the recommended storage environment parameters, and generates a dynamic storage configuration scheme; and the storage data recording module is used for carrying out structured integration on the state monitoring data set, the power battery tracking data, the safety risk level label and the dynamic storage configuration scheme by utilizing a multi-source data fusion algorithm to generate a storage data record. According to the invention, accurate classification and prediction are realized, so that the storage condition of the battery is dynamically adjusted without manual intervention.

Methods, systems, and devices for low latency logical (L3A) unit for a memory system are described. For example, a logical unit, such as an L3Alogical unit or L3A logical unit number (LUN), may include a storage area for storing information for system swap operations, including, for example, a logical-block-address (LBA) range for one or more single-level-cells (SLCs). The logical unit may include a logical-to-physical (L2P) mapping table stored in a local memory of a memory system controller, such as in static random access memory (SRAM). In some examples, a reserved storage area may be overprovisioned, and the logical unit may be associated with a higher priority and a larger granularity than one or more other logical units. Further, one or more read-only (RO) descriptors stored to one or more registers, one or more provisioning parameters, or both, may be defined for the logical unit.

The invention discloses an image processing method and device for data stream recombination, a medium and a product. The method comprises the following steps: acquiring an original image data stream, and determining row coordinates and column coordinates of each pixel datum in a preset pixel block; according to the row coordinates and the column coordinates, generating a corresponding write-in cache address for each piece of pixel data; writing each piece of pixel data into a target cache unit in the plurality of preset cache units according to the write-in cache address; generating a read cache address according to the global read row count value and the global read column count value; reading the pixel data from the target cache unit and aggregating the pixel data into a recombined pixel row; writing the recombined pixel rows into a continuous storage area in a preset memory to obtain recombined image data; and sequentially reading the recombined image data from the continuous storage area to obtain a recombined image video stream. By implementing the technical scheme provided by the invention, the overall throughput rate of data processing is improved, and the method is particularly suitable for real-time processing of high-resolution and high-frame-rate video streams.