3835 results about "Storage structure" patented technology

The invention discloses an operation and maintenance management method of an integrated management system, and belongs to the technical field of operation and maintenance of systems. The invention discloses an operation and maintenance management method of an integrated management system, and aims to solve the problems of data islands, slow fault positioning, experience dependence on strategies and the like in traditional operation and maintenance. The method comprises the following nine core processes: dynamically accessing multi-source heterogeneous data and carrying out standardization processing; constructing a hierarchical time series data storage structure; generating a modeling dependency and fault path of the equipment knowledge graph; adopting a three-layer anomaly detection model to identify anomaly; fault root causes are positioned through causal reasoning and a Bayesian network; generating an energy efficiency strategy based on reinforcement learning and multi-objective optimization; triggering the self-healing workflow to execute operation; testing the robustness of the system in a sandbox environment; and iteratively updating the knowledge graph and the AI model to form a closed loop. According to the method, automation and intelligentization of the whole operation and maintenance process are realized, and the system availability and the energy efficiency management level are improved.

The invention discloses a 3DTiles data storage method and a map data query method.The 3DTiles data storage method comprises the following steps that (1) an LOD hierarchy pyramid type hierarchy table is established, and an LOD range index is created; 2) generating a three-dimensional object into an agent point, and segmenting a tile according to a KD-tree structure to construct a three-dimensional KD-tree index tree; and 3) storing the data of the KD-tree leaf node into a GridFS of MongoDB multi-mode storage, mapping a file path into a unique hash value, writing the unique hash value into a corresponding node according to a KD-tree node storage structure, and creating a geographic spatial index. The method creatively solves the problems that file system management is difficult due to the fact that the number of files is large, a hierarchical structure based on a file directory is difficult to support efficient spatial range retrieval, and the spatial query response time is reduced to the millisecond level in combination with a three-dimensional KD-tree index and a MongoDB geographic spatial index.

An entropy value is generated for a data packet to be transmitted on a computing network. The entropy value is usable to select or change a network path for the data packet. In response to receiving an acknowledgement message for the data packet, the entropy value is saved in a storage structure if the entropy value is acknowledged as not congested. When transmitting an additional data packet, the oldest saved entropy from the storage structure is reused and the oldest saved entropy value is invalidated.

The invention relates to the technical field of ultra-low power consumption microcontrollers, and discloses an ultra-low power consumption microcontroller architecture design method and system, and the method comprises the steps: constructing a heterogeneous dual-core processor comprising a high-performance core and a low-power consumption core, and dividing the heterogeneous dual-core processor into a plurality of independent power domains; constructing a sub-threshold voltage operation system on a plurality of independent power supply domains, and configuring a multi-layer storage structure in the heterogeneous dual-core processor; recording task characteristic data by using a multi-level storage structure, executing task dynamic allocation between dual cores, and creating a dynamic task allocation mechanism; and performing static analysis and function block division on the application code based on a dynamic task allocation mechanism to obtain a plurality of function code blocks, and performing storage hierarchy and processor core allocation on the plurality of function code blocks to obtain a function code allocation result. According to the method, the dynamic migration of the workload and the optimal resource allocation are realized, and the energy consumption of the microcontroller in various working scenes is reduced.

The invention provides an online document processing method and system based on a document processing model, and the method comprises the steps: obtaining an editing request of a user for a target data unit, generating a temporary locking identifier according to a user authority identifier and a request timestamp, limiting the modification operation of other users for the target data unit, and obtaining a conflict isolation result; constructing a data consistency module according to a conflict isolation result, extracting editing state information of the current data unit from the temporary locking identifier, and performing sequential recording on concurrent operation by adopting a distributed transaction processing technology; if it is detected that version conflicts exist in the sequenced records, a rollback mechanism is triggered, operation priorities are redistributed, and data versions after consistency verification are determined; and designing a hierarchical cache structure according to the data version after consistency verification, storing the high-frequency access data into a memory cache region, and storing the low-frequency access data into a disk cache region to obtain a hierarchical storage structure. The data consistency and security are good, and the storage and access efficiency is improved.

The utility model provides a baby trailer with convenient storage, which comprises a trailer frame and a storage structure. The trailer frame comprises a front side frame, a rear side frame, a rear chassis frame. The front chassis frame is hinged with the front side frame. The rear chassis frame is hinged with the rear side frame. The storage structure is hinged with the front side frame and the rear side frame, so that the front frame and the rear side frame are capable of folded. The storage structure comprises two storage frames, a connecting rod. The connecting rod is connected with the left storage frame, the connecting rod is connected with the right storage frame. The ends of the front chassis frame and the rear chassis frame are movably placed on the connecting rod. The baby trailer has the advantages of convenient storage and small occupied space after storage.

The invention relates to the field of byte code unshelling storage, in particular to a byte code storage method and device of an Android unshelling machine and computer equipment. The method comprises the following steps: monitoring all application programs in a system in real time, and carrying out pseudo-call dynamic class loading to generate byte code structure feature information; performing service module identification on the byte code structure feature information, and performing module security sensitivity quantification so as to obtain a security sensitivity quantized value of each service module; based on the security sensitive quantized value of each service module, performing byte code symmetric encryption and confusion encryption on the multiple application program service modules so as to obtain a normalized module encryption code and a confusion encryption compression code; and carrying out code-by-code independent packaging processing on the normalized module encryption code and the confusion encryption compression code, and carrying out distributed storage so as to construct a distributed encryption unit storage structure. According to the invention, complete and efficient shelling preservation is realized.

The invention discloses an intelligent building equipment historical data storage method, and relates to the field of building equipment historical data storage, and the method comprises the following operation steps: S1, collecting and preprocessing global data; s2, intelligent storage strategy decision making; s3, designing a semantic storage structure; s4, constructing and managing a distributed storage cluster; s5, intelligently writing and indexing historical data; and S6, efficient query and deep analysis of an interface. According to the historical data storage method for the intelligent building equipment, provided by the invention, all-around improvement is realized in the aspects of data quality, storage efficiency, association capability, system reliability, operation convenience and the like through refined design of a data full link; and finally, the equipment data of the intelligent building really becomes a core asset which can be perceived, analyzed and utilized, and powerful support is provided for efficient operation, energy conservation, consumption reduction and safety guarantee of the building.

The invention discloses an intelligent file service system generation method based on a low-code development mode. The method comprises the following steps: constructing a file service core data model, defining file metadata fields, a storage structure and an association relationship, and forming a standardized data architecture. According to the method, the core data model, the visual page component library and the drag-and-drop workflow template are constructed, linkage binding of data-component-process is achieved in combination with a low-code engine, and the efficiency bottleneck of a traditional development mode is broken through; through a three-way real-time synchronization mechanism, real-time hot repair and dynamic branch judgment, page layout and flow rule adjustment can take effect immediately through visual configuration, and the problem of dynamic demand response lag is solved; through the intelligent resource scheduling logic compiled through environment adaptation, a differentiation scheme is generated for different deployment environments, the configuration difference influence under a private cloud and server mixed deployment scene is remarkably reduced, the deployment failure rate is greatly reduced, and the system online stability is improved.

The invention relates to the technical field of soil layer drilling, in particular to an efficient underground water quality detection sampling device which comprises a base, a fixing seat is further arranged on the base, and a device storage structure and a sample storage structure are arranged on the left side and the right side of the fixing seat respectively; a supporting structure is further arranged in the middle of the fixing base and comprises a vertical plate, a transverse plate, an axial motor, a mounting base, a lead screw, a guide rod and a drill rod. The drill rod is connected with the mounting seat through a rotating piece; the drill rod comprises a drill bit, a rod body, a sampling water pump and a sampling pipe; a sampling hole is further formed in the drill bit, and a liquid collecting cavity which is coaxially distributed is formed in the center in the rod body; a first cavity and a second cavity which are distributed from inside to outside are further formed in the rod body and located on the outer side of the liquid collecting cavity, and the sampling hole extends inwards, penetrates through the first cavity and the second cavity and is communicated with the liquid collecting cavity. The device is reasonable in structural design, filtering, collecting, sampling and storing operation of underground water at different heights can be completed on the basis that efficient drilling of underground water soil layers at different depth positions is achieved, and the using effect is good.

Automated storage and retrieval system for managing storage of inventory at a retail facility includes a storage structure with storage locations configured to store containers that contain retail products, and a conveying system that conveys the containers between the storage locations and a product picking station. A computing device analyzes one or more business rules to identify at least two containers that are eligible for the product merging therebetween and causes the conveying system to move these two containers from the storage structure toward a picking station selected by the control circuit. When the two containers identified as product merging eligible arrive at the picking station, these two containers are kept by the conveying system at the picking station until all of the products are removed from a first one of these two containers and merged together with the products stored in a second one of these two containers.

A storage and retrieval system employing a gridded three-dimensional storage structure features workstations served by the same robotic vehicle fleet that serves the storage structure, travel-through workstations using the same robotic vehicles to carry storage units through the workstation without hand-off to any other conveyor or handler, internal sortation using orchestrated navigation of the robotic vehicles to workstation intake points, sensors on the robotic vehicles to confirm proper loading and alignment of storage units thereon, lifting mechanisms for raising the robotic vehicles into shafts of the gridded three-dimensional storage structure from a lower track thereof, use of markers and scanners to align the robotic vehicles with the grid shafts, and workstation light curtains for hand safety, pick-counting and container content protrusion detection.

The invention discloses an electric intelligent monitoring drop-out fuse, and relates to the technical field of protection fuses. The electric intelligent monitoring drop-out fuse comprises an insulating pillar and an isolation arc protection device arranged at the top end of the insulating pillar, and further comprises a fuse carrier support installed at the bottom end of the insulating pillar; the fuse carrier is arranged on one side of the insulating support, and the bottom end of the fuse carrier is rotationally connected with the bottom end of the insulating support through a fuse carrier support; the push-pull type driving mechanism is mounted and sleeved on the insulating support column, and drives the fuse carrier to swing in a push-pull manner; the push-pull type driving mechanism is driven by an impact type driving assembly to slide. The opening and closing driving mode of the fuse is improved, push-out is carried out by adopting a concave-convex wheel impact mode, the opening speed is high, rapid disconnection can be realized, meanwhile, a force storage structure is also arranged for storing force and releasing the force during opening and push-out, the impact type driving assembly can be further assisted to apply driving force, the opening speed is further accelerated, and the response speed is high.

The invention relates to the technical field of generators, in particular to a shaft generator for a ship, which comprises a generator body, a cooling structure, an adjusting structure, a protection structure, a storage structure and a maintenance structure, the cooling structure is arranged to dissipate heat of the generator body, so that the device is always in a suitable temperature range, stable performance output is ensured, faults and performance attenuation caused by overheating are avoided, the aging speed of parts is effectively reduced, the service life of the device is prolonged, and the maintenance cost is reduced. The adjusting structure can move up and down and left and right and can rotate to adjust the angle, accurate butt joint with another device can be achieved, the situation that installation is inconvenient due to deviation between the adjusting structure and output shafts of other devices is avoided, and the protection structure can resist impact of objects falling accidentally in the sailing process; therefore, the shell and key parts of the generator body are prevented from being damaged, common maintenance tools and replaced parts can be conveniently stored through the arrangement of the storage structure, and rapid searching is facilitated during maintenance.

The invention belongs to the technical field of compressed air energy storage facilities, and particularly discloses an underground gas storage chamber and a construction method thereof.The underground gas storage chamber comprises a surrounding rock structure and a gas storage structure, the surrounding rock structure is provided with a storage space, and the gas storage structure is located in the storage space; the structure comprises a primary support, a lining layer, a sealing layer, a sliding layer and a lining layer which are sequentially arranged from outside to inside, a pressure reduction layer is arranged in the lining layer, the lining layer is divided into a first lining layer and a second lining layer by the pressure reduction layer, and the pressure reduction layer is made of a deformable material. A traditional single-layer lining layer is replaced by the double-layer lining layer, the pressure reduction layer is arranged between the double-layer lining layer and the double-layer lining layer, and dynamic loads caused by fluctuation of internal pressure of the gas storage are relieved through telescopic deformation of the pressure reduction layer, so that the risk that the lining layers crack is reduced, the service life of the underground gas storage chamber is prolonged, the advantages of reducing pressure and improving heat transfer are achieved, and the service life of the underground gas storage chamber is prolonged. And requirements of design on geology are reduced, and popularization and application are facilitated.

The invention relates to the technical field of Internet of Things perception, in particular to an intelligent storage digital visual management system and method based on the Internet of Things. The method comprises the following steps: acquiring intelligent storage structure data; constructing a storage three-dimensional model according to the intelligent storage structure data; carrying out material carrying simulation based on the storage three-dimensional model to obtain material carrying data; identifying a high-frequency congestion area based on the material handling data; carrying out cargo placement analysis according to the high-frequency congestion area to obtain cargo placement data; identifying a cargo spatial form based on the cargo placement data to obtain cargo spatial form data; carrying out cargo gravity center shift detection according to the cargo spatial form data to obtain cargo gravity center shift data; and according to the cargo gravity center shift data, acquiring a cargo unique label to obtain cargo label data. The goods stacking safety rate and the goods shelf structure operation stability rate in intelligent storage are improved based on the Internet of Things sensing technology.

The invention relates to the technical field of data storage, and discloses a hierarchical data storage method based on data format analysis, which comprises the following steps of: a, automatically identifying and analyzing the format of input data, classifying different types of original data by adopting a dynamic format identification algorithm, and automatically selecting a proper storage mode according to data format characteristics; b, converting the analyzed data into a unified standardized format, standardizing the data format by adopting a self-adaptive conversion module, and performing feature extraction on the data, including but not limited to improving the storage efficiency of the data through data segmentation, compression, aggregation and the like; and c, based on the data access frequency, the data type and the timeliness. By analyzing and standardizing data in different formats, heterogeneous data is unified into a standard format to be stored. In this way, on one hand, chaos on a storage structure is avoided, and on the other hand, the data can be more efficiently indexed and managed.

The invention discloses an intelligent data splitting and optimizing method and system based on multiple dimensions. The invention relates to the technical field of data splitting. And dividing the number and size of the sub-tasks based on dimensions and metrics required to be split, and dynamically scheduling the dependency relationship and the execution sequence among the sub-tasks. Based on the execution efficiency of the dimension combination and the data skew condition, dynamically adjusting the splitting strategy of the dimension combination, for example, increasing the number of subtasks of hot dimension combinations, optimizing the processing logic of the dimension combination with serious data skew, and the like; through a task splitting and dynamic scheduling mechanism, a large task is decomposed into a plurality of small tasks to be executed in parallel, distributed computing resources are fully utilized, and data processing and analysis time is remarkably shortened. By optimizing the data storage structure and utilizing the ETL tool to clean and compress the data, the occupied physical storage space is reduced, the storage cost is reduced, and meanwhile, the data access speed is increased.

Apparatuses, systems, and methods for dynamically allocated aggressor detection. A memory may include an aggressor address storage structure which tracks access patterns to row addresses and their associated bank addresses. These may be used to determine if a row and bank address received as part of an access operation are an aggressor row and bank address. The aggressor row address may be used to generate a refresh address for a bank identified by the aggressor bank address. Since the aggressor storage structure tracks both row and bank addresses, its storage space may be dynamically allocated between banks based on access patterns to those banks.

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component in at least one of an industrial boiler system or industrial pipeline system; a data storage structured to store a library of stored noise patterns associated with operation of the at least one industrial component; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to: analyze the collected data, determine a measured noise pattern for the at least one industrial component, and compare the measured noise pattern to the library of stored noise patterns to identify a changed condition of the at least one industrial component.

The invention relates to the technical field of catch safety tracing, and discloses a block chain verification method for catch quality safety tracing. The method comprises the following steps: acquiring environmental parameter data of catches in the links of fishing, transportation and storage through a distributed sensor network, and encrypting according to a timestamp sequence to generate a catches environmental data chain; key environment indexes are extracted based on the data chain, an abnormal deviation degree is calculated by using a dynamic weight distribution algorithm, and a catch quality risk score is generated; dividing risk levels according to the risk scores, mapping data of different risk levels to a block chain differentiation storage layer, and constructing a fragment storage structure; performing redundancy verification on the high-risk data through an intelligent contract triggering mechanism, and calling a consensus node to perform cross verification to generate a verification result; and performing association analysis on the verification result and the risk score, updating the risk tag and synchronizing the risk tag to a block chain distributed account book. According to the method, full-link data tracing and verification of the catches are realized, and the data credibility and the quality control accuracy are improved.

The present invention belongs to the technical field of incremental-data synchronization. Provided is an incremental-data identification, positioning and updating method. The incremental-data identification, positioning and updating method based on an Ethereum MPT in the present invention uses a storage structure of an Ethereum MPT in the blockchain field and performs adaptive fine-tuning on the storage structure, and applies the hash pointer and prefix sharing characteristics of the Ethereum MPT to incremental-data identification, positioning and updating in the field of data synchronization.

The invention relates to the technical field of reasoning optimization, in particular to a PD separation reasoning framework optimization method oriented to a large language model, which comprises the following steps: S1, reconstructing a memory structure of a KV Cache, adjusting an original discrete storage structure allocated according to a model layer into a continuous storage structure allocated according to blocks, and changing the memory structure from [layer, k / v, block id, numhead, head, block size] into [block id, layer, k / v, numhead, head size, block size]; s2, dividing a short sequence, a medium sequence and a long sequence according to the length of the cue word, combining the short sequence into a Batch group, and preferentially extruding the short sequence and then processing the long sequence; and S3, deploying a hybrid throughput node cluster, and according to the input prompt word length dynamic allocation request, allocating a short request to a low throughput TP node of the throughput, and allocating a long request to a high throughput TP node of the throughput. The method is more suitable for a PD separated system architecture, and the transmission efficiency of the KV cache and the calculation efficiency of the GPU are improved, so that the throughput of the system is improved, and the maximum resource utilization is achieved.

The invention discloses a resume screening method and device based on a large model prompt instruction and a medium, and relates to the field of data processing, and the method comprises the steps: obtaining resume information of a corresponding structure based on a plurality of sources; defining basic information items corresponding to the resume, and generating a large model prompt instruction; taking the resume information and the large model prompt instruction as input, and outputting and storing corresponding structured information through the trained large model; obtaining a query instruction input by a user, and extracting corresponding key information; and generating a corresponding structured query language according to the key information, and querying in a database storing the structured information through the structured query language. Unified structuring is carried out on resume information of different formats and sources through a large model prompt instruction, analysis failures caused by format differences in a traditional method are avoided, and the mass multi-source heterogeneous data processing efficiency is improved.

The invention relates to the field of cold and hot data storage, in particular to a cold and hot data storage optimization method based on a large model, which comprises a business integration module, a data dependence module, a mode updating module, a cold and hot partitioning module and a file merging module, and is characterized in that the business integration module is used for collecting business data to form a training data set; the data dependency module is used for fitting business data to obtain a data consanguinity model, the mode updating module is used for predicting an access mode, the cold and hot partitioning module is used for calculating the heat of the data and performing dynamic scheduling, and the file merging module is used for automatically merging small files. A data storage structure is standardized, storage space is reduced, more efficient and more accurate cold and hot data classification can be achieved, the resource utilization rate of data storage hardware is improved, hot data response delay is reduced, the system storage utilization rate is remarkably improved, and the storage efficiency is improved.

The invention discloses a safety protective fence for overhaul and maintenance of a transformer substation, and belongs to the field of clamps. A suction cup clamp structure for a solar silicon wafer detection robot comprises a mounting cylinder, the bottom of the mounting cylinder is fixedly connected with a conical disc, one side face of the mounting cylinder is provided with an extraction opening, a connecting cylinder is arranged in the mounting cylinder, and two gas storage structures are arranged in the connecting cylinder; two sealing rings; through the arrangement of the connecting cylinder, on one hand, a part of air can be conveyed to the sealing ring to fill and expand the sealing ring, the sealing ring is prevented from being greatly deformed after being used for a long time, so that the adsorption and taking stability of the clamp is improved, the fault phenomenon is reduced, and meanwhile, when a workpiece is taken next time, the work efficiency is improved. The other part of airflow extracted in the connecting cylinder in advance can be conveyed out to blow and clean the bottom surface of the sealing ring, the trouble of manual maintenance is omitted, operation is convenient and fast, and the sealing performance is good.

The invention relates to the technical field of message pushing, in particular to an SaaS (Software as a Service) intelligent concurrent pushing system which comprises a tenant flow monitoring module, a resource binding module, a lock-free object writing module, a handle layout construction module and a cache prefetching delivery module. According to the method, the high-frequency business object is identified by monitoring the flow characteristics of the tenants, and the complete Slab page is dynamically applied and bound to the thread exclusive local allocation buffer area, so that physical isolation of bottom layer resources is realized to eliminate global lock competition and context switching overhead in a multi-thread environment; lock-free memory writing is executed based on a privatized pointer, the object construction efficiency is greatly improved, a compact storage structure in which a bitmap is adjacent to a connection handle is constructed, a hardware cache prefetching mechanism is triggered by utilizing bitmap reading, connection data is loaded to a CPU cache line in advance, and the connection data is stored in the cache line. And the cache miss rate is reduced and the concurrent delivery performance of massive messages is remarkably improved by utilizing a memory locality principle.

The invention relates to the technical field of warehouse management, in particular to a data storage method and system based on intelligent warehouse management, and the method comprises the steps: forming a comprehensive data storage structure through creating a three-dimensional shelf index and formulating a storage strategy, and improving the data access speed; by generating the intelligent cargo packaging information, the storage cost can be reduced, and the storage efficiency can be improved; the access efficiency of goods data is improved by adaptively planning a goods picking path and dynamically adjusting goods picking task distribution; through a block chain technology, a unique hash value is generated for each cargo, and transactions are recorded on key nodes, so that the security of data storage is improved, the data is prevented from being maliciously modified or deleted, and meanwhile, a chain storage structure ensures the integrity and historical traceability of the data. The method is used for solving the technical problems of low data storage efficiency, insufficient storage security, lack of efficient order picking paths and task allocation and the like in current warehouse management.

The invention provides a photovoltaic knowledge question-answering method, system and device based on a ReAct architecture, and relates to the technical field of photovoltaic information. The method comprises the steps that a photovoltaic industry knowledge base is obtained, original photovoltaic industry knowledge documents are processed through analysis, abstract generation and abstract vectorization, and a three-layer storage structure containing an abstract vector index table, a document metadata table and a complete document storage library is formed; obtaining a user question, initializing a ReAct cycle and creating a memory storage structure according to the user question and a retrieval tool set constructed based on the three-layer storage structure; the ReAct circulation is executed until the end, and each round of circulation comprises the steps that questions, system cue words and memory data are integrated to generate a context, a round tool and parameters are obtained through reasoning of a large language model, and accordingly the tool is called to retrieve a knowledge base, update memory and remove duplication; after the loop is terminated, an answer is generated based on the memory data. According to the method, when the photovoltaic problem is solved, the key diagnosis link and the solution can be deeply given out without omitting the key diagnosis link and the solution.

The invention relates to the technical field of data processing, can be applied to business scenes such as financial science and technology, medical treatment and health, and discloses a data matching method based on security approval, which comprises the following steps: creating a data table and configuring access authority, inserting data in the table into an acquisition table and then synchronizing to an intermediate database and adding a field identifier; synchronizing the data of the intermediate database to a distributed storage structure partitioned according to dates through a timed task; receiving a data table name, a data type and identification information, determining a matching field based on the data type, matching the data value in the distributed storage with a target field, and generating a result set; and submitting a matching result as a security signature, triggering an approval process, and sending result data to the terminal according to permission mapping after approval is passed. According to the method, the data processing efficiency is improved and the sensitive data circulation risk is reduced by constructing the structured acquisition process, setting the automatic synchronization mechanism, executing data matching based on the field type and integrating the approval control logic.