5832 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.

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 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 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 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 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.

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 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.

The invention discloses a data sharing processing method and system applied to human resources, and relates to the technical field of data processing.The method comprises the steps that after multi-source data are collected and preprocessed, the data are classified, shared and stored, and a public storage area and an authorized access area are included; performing role and access authority management on the stored data, and executing data sharing compliance auditing; the access permission is dynamically adjusted based on the access environment, permission change records are stored through a Fabric alliance chain, anomaly detection is carried out according to the real-time access data, and a security policy is executed; and performing two-way matching of the job seeker and the enterprise based on the stored data. According to the method, the sharing efficiency and security of the human resource data are effectively improved, the expandability of data storage and the intelligence of authority management are enhanced, the method is suitable for application scenes such as enterprise human resource management, recruitment platform and government data sharing, and the value and application potential of the human resource data are greatly improved.

A bracket system is provided for the storage and retrieval of an article of equipment such as a self-contained breathing apparatus of the type used by firefighters and other first responders to provide breathing air during firefighting and other emergency operations. The bracket system securely stores the article of equipment in a position at which the article of equipment has an upside down, or inverted orientation, facing the back of the storage area. The bracket system is configured to articulate in a manner that positions the article of equipment in a lowered position at which the article of equipment has an upright orientation, facing the user, so that the user can retrieve the article of equipment.

The utility model relates to a vertical storage type automatic feeding and discharging device which is characterized by comprising a machine frame, a storage area and a working area are arranged on the machine frame, the storage area is located on the rear side of the working area, and a plurality of material trays which are sequentially stacked are stored in the storage area in the vertical direction of the storage area. A working table and a lifting mechanism for driving the working table to ascend and descend are arranged in the working area, a conveying mechanism and a pressing mechanism are arranged on the working table, the conveying mechanism is used for sequentially conveying material trays in the storage area to the working table, and the pressing mechanism comprises a pressing plate and a first driving part for driving the pressing plate to ascend and descend. The middle of the pressing plate is provided with an upper opening and a lower opening, a flange is arranged on the periphery of the material disc, the four edges of the pressing plate abut against the flange under the action of the first driving piece, and at the moment, the material disc is located in the openings. By the adoption of the technical scheme, the vertical storage type automatic feeding and discharging equipment is provided, the material pressing mechanism is additionally arranged, and when the material trays are pressed and taken, the material trays are stable in structure and do not deviate.

The invention relates to a module support, a front window module and a server, a first mounting cavity for mounting a signal extension card and a second mounting cavity for mounting a signal extension adapter card are arranged in the module support, the first mounting cavity and the second mounting cavity are arranged along a first direction, the first mounting cavity comprises a plurality of first storage areas, and the second mounting cavity comprises a plurality of second storage areas. Each first storage area corresponds to at least one signal extension card, the multiple first storage areas are arranged in the second direction, the extension length of the second mounting cavity in the first direction and the extension length of the second mounting cavity in the second direction are both larger than the extension length of the second mounting cavity in the third direction, and the first direction, the second direction and the third direction are orthogonal in pairs. The module support can carry a plurality of signal extension cards, and is compact in structural design and high in space utilization rate.

The package includes a base, a primary lid connected to the base, the primary lid and the base defining a primary storage area, and a locking mechanism. The locking mechanism includes a flexible member including a first segment and a second segment that are connected by an elbow, the first segment being connected to the primary lid, a distal end of the second segment including at least one contact structure, the flexible member including at least one first engaging structure between the elbow and a front surface of the at least one contact structure, and a second engaging structure on a first wall of the base. The container includes a receptacle wall cooperating with a peripheral wall to define a receptacle, and a flexible tab projecting from the top wall, the flexible tab including a fixed end adjacent to the top wall and a free end opposite the fixed end.

The invention relates to the technical field of storage management, and discloses a processing resource allocation method and computing device.The method comprises the steps that a memory allocation request of a first process to a second processor is intercepted, and the memory allocation request is used for requesting the second processor to allocate a storage area of a first storage size for the first process; determining a lock holding state of the first process to a dynamic time slice DTL lock; and under the condition that the first process holds the DTL lock, calling the second processor based on the memory allocation request, so that the second processor allocates a first storage area in the memory of the second processor for the first process. Therefore, process scheduling can be carried out through the DTL lock, and the storage area is managed under the condition that the process holds the DTL lock, so that frequent page immigration and emigration are avoided, and the jitter phenomenon is reduced.

The present invention relates to the field of semiconductor technology, and particularly relates to an optoelectronic chip packaging structure, comprising: a substrate, on the upper surface of which a signal transmission layer is provided, and on the signal transmission layer a signal processing layer is provided; the signal transmission layer includes: a first electrical chip, which has a first surface and a second surface, and the first surface faces the substrate, and the second surface faces the signal processing layer; the signal processing layer includes: a signal conversion area and a data storage area; a photonic chip is correspondingly arranged in the signal conversion area, and the photonic chip includes: N*M photon computing units, and each photon computing unit includes: an optical waveguide layer, and a modulation layer located on the optical waveguide layer, and the modulation layer is a phase change material layer or the modulation layer includes a phase change material layer; a second electrical chip is correspondingly arranged in the data storage area, which is used for receiving and storing calculation data. The present invention solves the problems of high preparation difficulty and poor heat dissipation performance of the existing packaging structure.

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 discloses a distributed storage system, a space allocation method and device, electronic equipment and a nonvolatile storage medium, and is applied to the technical field of storage. The method comprises the steps that a storage space is divided into a plurality of storage areas with the same storage capacity and continuous addresses in advance, and the corresponding relation between storage bitmaps and the storage addresses of corresponding storage units is persisted to the storage space; the bits of the storage bitmap indicate whether the state of the corresponding storage unit is an idle state or an allocated state. And in a storage node starting process, determining a target storage area in an idle state in the storage space according to the corresponding relationship, and loading bitmap information corresponding to the target storage area into a memory. According to the method and the device, the problems of excessive memory occupation and low service recovery speed in related technologies can be solved, less memory can be occupied when the PB-level space is managed, meanwhile, the loading time during node restarting is shortened, and the recovery speed of node operation services is effectively improved.

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.

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for compressing data. The method includes determining a plurality of access levels of a plurality of storage areas in a storage space based on a plurality of input / output (IO) counts of the plurality of storage areas in a historical time period. The method further includes determining an access level threshold based on the utilization of the storage space. The method further includes selecting at least one target storage area among the plurality of storage areas based on the plurality of access levels and the access level threshold. The method further includes compressing a plurality of pages in the at least one target storage area. Embodiments of the present disclosure provide a strategy of merging and compression based on a system state, which balances data compression efficiency and system performance.