8470 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 embodiment of the invention provides a kafka storage and calculation separated data processing method and device, and the method comprises the steps: constructing a multi-layer data processing architecture which comprises four layers: network communication, task distribution, processing scheduling and storage. Cold and hot data separation is realized through hierarchical design of a log pre-writing area and a main storage area, and intelligent scheduling of system resources is realized in combination with a copy manager, a coordinator and a load predictor. An adaptive compression algorithm and a verification mechanism are adopted to ensure the data transmission efficiency and integrity, a message cache region is created to store hotspot data, and flexible access of cold and hot data is realized based on message sites. According to the method, the defects of the traditional technology in storage and calculation coupling, storage efficiency, load balancing and the like are effectively overcome, and the performance and expandability of a message queue system are remarkably improved.

Systems, methods, and computer-readable media for workflow management operations are disclosed. A template selection is received for a predefined workflow to be implemented in an existing user's account having at least one internal resource, and a selection of a set of resources is received from a plurality of resources to implement the functionality of the predefined workflow. The selected set includes at least one internal resource of the existing user's account and at least one external resource accessible via an API. A secure storage area is queried to determine that credentials are non-existent for the at least one external resource, an authentication flow is initiated with the at least one external resource to obtain a token from an external resource, and the token is received. The token is stored in the secure storage area, and a configuration of the predefined workflow initiates functionality of the predefined workflow.

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.

According to the instruction processing system, method and device provided by the invention, the instructions can be efficiently and smoothly distributed and run through the at least one processing module of the processor, and different instruction distribution logics are adopted based on different types of business processing instructions through two-stage instruction distribution, so that the service processing efficiency is improved. The business processing instructions are stored in the target storage area and then scheduled to the instruction execution module, so that quick distribution and hardware support of different types of business processing instructions are realized, the instruction distribution efficiency is greatly improved, complex calculation tasks can be flexibly and efficiently processed, instruction scheduling can be performed according to the priorities of the business processing instructions, and the service processing efficiency is improved. The key business operation is ensured to be responded and processed in time, and the overall performance and the operation efficiency of the database processor are effectively improved. The technical effect of flexibly and efficiently processing the database acceleration task is achieved.

The invention relates to a data hierarchical caching and intelligent continuous transmission method and device in an off-network environment, and the method comprises the steps: obtaining to-be-transmitted data, carrying out the hierarchical evaluation based on the importance degree and timeliness of the data, and obtaining a corresponding priority data group; monitoring a network bandwidth state in real time, recording an interruption moment and triggering a hierarchical cache mechanism when network interruption is detected, and setting a corresponding storage area; distributing the priority data group to a corresponding storage area for caching to obtain a final cache area; when network recovery is detected, intelligent continuous transmission is performed on the priority data set according to the cache region, and a continuous transmission report is generated; detecting a network bandwidth state in real time, performing dynamic continuous transmission adjustment on the priority data set, and marking the priority data set after continuous transmission is completed to obtain a marked data set; and performing integrity verification on the marked data group, and generating a transmission state report in combination with the continuous transmission report. The method can adapt to different network environments and data transmission requirements.

The invention discloses a data isolation and privacy protection method and system for a data security large model, and relates to the technical field of artificial intelligence, the method comprises the following steps: setting an independent storage area for each enterprise in an external knowledge base in advance, and transmitting encrypted data to the corresponding storage area based on an enterprise identifier, setting corresponding access authority for the encrypted data of each storage area; judging whether the user identity information and the user access permission information are compliant or not, extracting a keyword corresponding to the user demand information under the compliant condition, and performing similarity retrieval in an external knowledge base based on the keyword to obtain corpus data with the highest similarity with the keyword; the corpus data and the user requirements are jointly input into the large data security model to generate the data security document, and the problems that in the prior art, data security isolation and privacy protection cannot be achieved, and security and compliance use of data in the whole process cannot be guaranteed are solved.

The invention belongs to the technical field of vehicle-mounted upgrading control, and particularly relates to a vehicle-mounted entertainment system upgrading method and system based on Flash CAN, the method comprises the steps of hardware preparation, firmware updating file obtaining and upgrading, the upgrading process comprises the steps that current vehicle-mounted entertainment system firmware is backed up, the downloaded firmware updating file is verified, the next step is continued if verification succeeds, and the next step is continued if verification succeeds; and if the verification fails, the firmware update file is downloaded again, a specified Flash storage area is erased, the upgrade management module requests and transmits a data packet of the firmware update file to the embedded control unit, and if the request or the transmission fails, the upgrade management module rolls back to an original system, and the steps of data receiving and verification, restarting and verification are carried out, and verifying whether the functions of the vehicle-mounted entertainment system are normal. According to the invention, the risk of upgrade failure is reduced, the upgrade efficiency is improved, the security of the system is enhanced, and the system abnormity caused by improper upgrade is effectively avoided.

Provided in the embodiments of the present disclosure are a motion control system and method, and a control platform. The motion control system comprises a control platform, mobile devices, and partition detection units, wherein the partition detection units are deployed at the junction of a plurality of storage areas, which are obtained by means of division in advance in a warehousing scenario. A first detection unit is configured to send a first trigger event to the control platform when detecting that a target object enters a target storage area, wherein the first detection unit is a partition detection unit which is deployed in the target storage area and the current detection state of which is an enabled state. The control platform is configured to send a stop instruction to a mobile device in the target storage area in response to the first trigger event, and control the detection state of a second detection unit to be changed to the enabled state, wherein the second detection unit is a partition detection unit deployed in the target storage area, and the second detection unit is different from the first detection unit. The mobile device is configured to stop motion in response to the stop instruction.

The invention belongs to the field of artificial intelligence, and particularly relates to a long text processing method and related device.The method comprises the steps that for long text data to be processed in a current session, context information corresponding to all text fragments is extracted from the long text data; the context information is stored in different storage areas of an external memory module; the external memory module comprises a short-term memory area and a long-term memory area; the short-term memory area is used for storing first context information of which the importance reaches a preset condition in the current session; the long-term memory area is used for storing second context information repeatedly appearing in a plurality of sessions; the plurality of sessions comprise a current session and / or a historical session; the first context information and the second context information are input into a large language model, and natural language processing of the long text data is achieved through the large language model. According to the method, the long text processing efficiency and accuracy can be improved, and the context memory ability and the flexible adaptability of the model are enhanced.

The invention relates to the technical field of intelligent scheduling, in particular to a logistics storage task distribution system based on AI. According to the method, through fine calculation of energy consumption data of the equipment in the storage area and dynamic adjustment of the path energy consumption gradient, the material carrying path is optimized, the use frequency of the high-energy-consumption path is reduced, and the energy efficiency ratio of equipment operation is increased. In combination with density analysis of task execution time, task execution conditions in different time periods are monitored, the concentration degree of tasks in peak periods is identified, potential congestion risks are predicted based on trend analysis of task density, a task execution window is reasonably adjusted, and operation delay caused by excessive concentration of tasks is reduced. And analyzing the execution sequence of the storage tasks, and adjusting the tasks with close dependency relationships so that the tasks can be executed at reasonable time points. In the dynamic task allocation process, simulation optimization is carried out by using a reinforcement learning method, so that task allocation is more intelligent, and the overall operation cooperation capability of the warehouse is improved.

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 discloses a solid state disk bad block wear balancing method and system, a medium and a program product, and relates to the field of electrical digital data process.The method comprises the steps that a storage area of a solid state disk is divided into a plurality of sub-areas, and a sub-area distribution table is generated; establishing a data block rotation link in each sub-region based on the sub-region distribution table and recording the data block rotation link as a rotation sequence table; executing a data block rotation operation according to a preset period, and recording a wear state of each sub-region; when a newly added bad block is detected, marking the sub-region containing the bad block as a to-be-migrated source region in the sub-region distribution table; determining a target region from other sub-regions according to the number of bad blocks and wear states recorded in the sub-region distribution table, and establishing a mapping relationship between the to-be-migrated source region and the target region; and migrating the data in the to-be-migrated sub-region to the target region according to the sequence in the rotation sequence table based on the mapping relationship and the rotation sequence table. The utilization efficiency of the standby block is improved, and the service life of the solid state disk is further prolonged.

The invention relates to the technical field of construction management, in particular to a BIM-based building construction management system, which comprises a path compression module, a priority scheduling module, an equipment allocation module, a material arrangement module and a progress coordination module. According to the method, the BIM model construction path node set is obtained, the node compression condition is judged based on the labor resource availability index of the construction scheduling schedule, high coordination of the construction path and resource configuration is achieved, the problems of resource mismatching and construction efficiency reduction are avoided, and the construction efficiency is improved based on the density comparison between the space area to which the component belongs and the construction equipment in the area. Reasonable allocation of construction equipment is achieved, full utilization of mechanical equipment is guaranteed, structural hierarchical indexes, space coordinates and construction logic dependency relationships are associated through component identification numbers, a construction feasible dependency graph and material entering batch sorting are formed, and a material entering time window is accurately determined; coordination conflicts between material approach and storage area arrangement are mitigated.

The invention relates to the technical field of firmware, and discloses a method and device for updating RAS configuration information, a storage medium and a program product, and the method comprises the steps that a substrate management controller receives a target configuration file, and determines whether a configuration item is a second-level configuration item or a first-level configuration item according to identification information of the configuration item in the target configuration file and a preset white list; when it is determined that the first-level configuration item exists, the identification information and the update configuration information of the first-level configuration item are stored in the target storage area, and a first interrupt signal is sent to the central processing unit. When the central processing unit determines the update configuration item according to the identification information and the update configuration information corresponding to the first-level configuration item, the central processing unit determines a target object according to the identification information and the update configuration information of the update configuration item, and updates the target object to complete the RAS configuration information update operation of the first-level configuration item. After the RAS configuration information is updated, new RAS configuration information can be applied without restarting equipment, and the service stability can be improved.

The invention discloses an integrated intelligent welding material warehouse which comprises a storage area and an equipment area, the storage area is provided with multiple layers of goods shelves, and the equipment area is provided with a drying oven, a material taking mechanism, a transferring mechanism, a distribution bin mechanism, a discharging mechanism and a recycling mechanism. The material taking mechanism is used for stretching into the baking oven to take out the trays carrying the materials and placing the trays on the transfer mechanism platform, and then empty trays are taken back from the transfer mechanism platform and placed in the baking oven. The transfer mechanism is used for grabbing and moving the welding rods to a designated distribution bin for feeding; the distribution bin mechanism is used for ejecting the welding rods in the bin body out of the outlet and sliding the welding rods into a hopper of the discharging mechanism. The recycling mechanism is used for recycling the remaining welding rods into the recycling bin. The problem of manual distribution of welding rods in the whole process is solved, automation of the whole process of distribution of welding materials is achieved, welding rod management is improved, and construction quality and operation safety are guaranteed.

The invention relates to a robot, a server, a warehousing system, a warehouse and a warehouse-out method, and the warehousing system comprises a goods shelf which is provided with a raw material box storage area and an order box storage area; the carrying robot is used for receiving the first dispatching instruction and conveying the raw material box to the first stopping position of the target sorting work station from the first goods position according to the first dispatching instruction; the sorting robot is used for receiving a second dispatching instruction and arriving at a second stopping position of the target sorting work station according to the second dispatching instruction, so that the to-be-sorted goods in the raw material box on the carrying robot at the first stopping position can be sorted to the sorting robot at the second stopping position to become sorted goods; and the sorted goods or the target order boxes containing the sorted goods are conveyed to the second goods allocation from the second parking position. According to the robot, the server, the warehousing system, the warehouse and the warehouse-out method, the warehousing area can be saved, and the flexibility of the warehousing process is improved.

The invention discloses an intelligent construction scheme optimization system based on building decoration, and relates to the technical field of building decoration. The system comprises four modules, and the constructor selection module is used for selecting a construction principal according to the performance value of the constructor. The building material monitoring module is used for dividing the storage area into a plurality of monitoring areas and marking the monitoring areas as deviation or overlapping areas according to the area overlap ratio; calculating a zone condition value, and marking the zone condition value as a suitable or non-suitable zone; and calculating a storage score value, and generating a storage early warning signal or a storage qualified signal. The construction safety supervision and analysis module is used for monitoring a construction site in real time and generating a construction early warning signal; calculating an operation monitoring value; and calculating a construction environment coefficient, and generating an environment control abnormal signal or an environment control normal signal. The construction progress risk monitoring module is used for collecting delay data, calculating progress influence values and generating influence signals of different levels; and adjusting the progress plan. According to the system, through intelligent management, the construction efficiency and safety are improved, and the construction cost is reduced.

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.

The invention provides a firmware encryption method and system based on a device unique identifier and dynamic key verification, and relates to the technical field of firmware protection, and the method comprises the steps: obtaining a unique identifier of a device, the unique identifier being hardware feature information which cannot be modified; a dynamic key is generated based on the unique identifier and the random number, and the dynamic key is realized through an encryption algorithm and is regenerated every time the device is started or firmware is updated; the dynamic key is stored in a storage area protected by hardware, and the storage area is subjected to double protection of hardware isolation and logic encryption; and when the device is started, the dynamic key is regenerated, the unique identifier of the dynamic key and the unique identifier of the dynamic key stored in the storage area are compared and verified, if the dynamic key and the unique identifier are consistent, firmware operation is allowed, and otherwise, a safety response mechanism is triggered. According to the invention, the security and reliability of firmware protection can be improved.

The invention discloses an intelligent logistics digital warehouse management method based on deep learning, and relates to the technical field of warehouse management, and the method comprises the steps: calculating the correlation of SKUs through Graph SAGE, constructing an SKU incidence matrix, optimizing an SKU combination based on an SKU co-occurrence frequency, calculating an SKU storage optimization strategy through Transform, analyzing the storage relation between the SKUs through an attention mechanism, and optimizing a storage layout in combination with GNN. A high-frequency SKU can be located in an optimal storage area, in a sorting task scheduling link, a sorting robot is trained by adopting reinforcement learning, an optimal sorting path is autonomously learned in a warehouse environment, optimal distribution of AGVs and manual tasks is calculated in combination with GNN, collaborative operation of automatic equipment and manual operation is balanced, and path conflicts and invalid movement are effectively reduced; and after the task is executed, recording the sorting time and a path optimization result, and applying feedback data to self-supervised learning to optimize a warehouse management strategy, so that SKU storage, a sorting path and task scheduling can be dynamically adjusted.

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 intelligent warehouse management method, system and device and a storage medium, and relates to the technical field of warehouse management, and the method comprises the steps: obtaining the basic information of target goods to be stored in a warehouse center and the remaining storage area of the warehouse center; according to the basic information, determining a storable area of the target cargo from the remaining storage areas; according to the historical order data of the target cargo, predicting the total order number of the target cargo and the order number of each order in a preset time length, calculating a first heat index of the target cargo, and determining a storable position of the target cargo in the storable area according to the first heat index; obtaining a first storage position of an associated cargo associated with the target cargo and a second popularity index of the associated cargo; and determining a target storage position of the target cargo in the storable positions in combination with the first storage position and the second popularity index. The method has the technical effects that the goods taking efficiency is improved, and the labor cost is reduced.

Methods and systems for generating a sharable model splice of a digital engineering (DE) model are provided. The method comprises receiving a DE model file in a native file format; extracting model data; storing the model data in a storage area; generating external, commonly-accessible splice functions that enable external access to digital artifacts derived from the model data; and generating the sharable model splice, which comprises access to a selective portion of the digital artifacts, and access to at least one of the splice functions. The splice functions provide addressable API or SDK endpoints that enable access by third-party applications and users to the digital artifacts without access to an entirety of the DE model file and without requiring direct engagement with a DE tool associated with the DE model type. These endpoints also provide a unified programming interface to sharable model splices generated from DE models.

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 provides a console game data security storage method and device and computer equipment, and aims to improve the security and reliability of data storage. Firstly, stand-alone game data to be stored are obtained and divided into a plurality of data blocks; and performing encryption processing on each data block to obtain a corresponding encrypted data block. Next, a pseudo-random sequence is generated. And storing the encrypted data blocks in a plurality of preset storage positions in a scattered manner according to the pseudo-random sequence. Then, binding the seed value of the pseudo-random sequence with the biological characteristic information of the user to generate a bound seed value, and encrypting the bound seed value to obtain an encrypted seed value; and finally, storing the encrypted seed value in a preset secure storage area. By combining the technologies of data blocking, encryption, pseudorandom sequence and biological feature binding and the like, the safety of the console game data is remarkably improved, and the data is prevented from being accessed and tampered without authorization.

Embodiments of the invention relate to a data encryption method and apparatus, a computer device and a storage medium. The method comprises the steps of generating a target key for to-be-encrypted target data; after encrypting and storing the target data according to the target key, dividing the target key into a plurality of key segments; generating a corresponding key fragment ciphertext for each key fragment to obtain a plurality of key fragment ciphertexts; and respectively storing the plurality of key segment ciphertexts to first storage areas in a plurality of different nodes. Therefore, after the target data is encrypted, the target key can be divided into a plurality of key fragment ciphertexts which are respectively stored in different storage areas, the risk of single-point failure and centralized attack on the data is avoided through the fragmentation and scattered storage design of the key, and the data storage security is greatly improved.

The invention relates to the technical field of compiling, in particular to a byte code file optimization method and device, a byte code file execution method and device and an intelligent card. The method comprises the following steps: acquiring a byte code file to be optimized; bytecode instructions in the bytecode file are traversed in sequence, target bytecode instructions are obtained based on instruction operation codes of the target bytecode instructions, and target operand information carried in the target bytecode instructions is obtained according to instruction types of the target bytecode instructions, determining an operand storage area corresponding to the instruction type; determining an index of each piece of target operand information in the corresponding operand storage area to obtain each corresponding target index value; and according to each target index value and a preset index value length, repackaging the corresponding target bytecode instruction to obtain an optimized bytecode file. Therefore, the problem that an executable bytecode file of an existing intelligent card application occupies a large space can be effectively solved.

The invention relates to the technical field of microcontrollers, and provides an MCU information protection method and device, electronic equipment and a readable storage medium, and the method comprises the steps: checking a storage access request according to an access control list; wherein the access control list comprises an authorized storage area and an authorized operation type corresponding to the authorized storage area; the storage access request is used for accessing a target storage area of the MCU; according to the debugging secret key, an interface debugging request is checked, and the interface debugging request is used for debugging a target debugging interface of the MCU; identifying a target code instruction of the MCU, and performing pre-execution verification and dynamic monitoring on the target code instruction; adjusting the clock frequency and the clock phase of the MCU according to the load change information and the power consumption change information of the MCU; and implementing encryption measures on the target data transmission channel of the MCU by using the encryption algorithm. According to the technical scheme provided by one or more embodiments of the invention, the data security and the anti-attack capability of the MCU can be improved.