2959 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.

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 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 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 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 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 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 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 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.

The invention relates to the technical field of industrial big data storage and management, and discloses an industrial data full life cycle management method and system.The method comprises the steps that original time sequence data of industrial equipment is obtained, Shannon entropy calculation is carried out, and a time sequence importance score sequence is obtained; performing threshold comparison according to the time sequence importance score sequence, and determining a key transient window and a stable normal window; performing lossless differential coding on the key transient window to obtain a high-fidelity data segment; performing feature extraction and sparse processing on the stationary normal window, and performing time domain splicing and index construction to obtain a primary hybrid storage structure; and continuously monitoring the query access path to generate a popularity distribution graph to obtain a hierarchical archiving data set. According to the method, value-aware hierarchical storage and dynamic full-life-cycle management of massive industrial data can be realized.

An apparatus has decoder circuitry within a first processing element to decode instructions, in order to respond to a sequence of instructions by generating control signals. Processing circuitry within the first processing element is responsive to the control signals to perform operations defined by the sequence of instructions. The decoder circuitry is responsive to a stashee hint instruction in the sequence of instructions to issue control signals to cause the processing circuitry to issue a stash interest request via an interface used to couple the first processing element to interconnect circuitry. The stash interest request is arranged to provide a given memory address indication determined from the stashee hint instruction and to trigger stashing control circuitry accessible via the interconnect circuitry to cause updated data associated with the given memory address indication to be made available for stashing in an associated storage structure of the first processing element.

The invention belongs to the technical field of digital assembly process design, and discloses a product model data structured processing method, electronic equipment and a storage medium, and the method comprises the steps: constructing a data storage structure of a product model assembly, which comprises an attribute table and a relation table; identifying components, parts, standard components and assembly digital models in the product model data; extracting attribute information of components, parts, standard components and assembly digital models in the product model data, and storing the extracted attribute information into an attribute table; and extracting contact relation information of the parts and the standard parts in the product model data and assembly relation information of the assembly digital model, and storing the extracted contact relation information and assembly relation information into a relation table. According to the method, the problems of low efficiency, large workload and poor accuracy of existing three-dimensional model data structured processing are solved.

The invention discloses an FPGA efficient accelerator design method and system based on a sparse convolution kernel, and relates to the technical field of accelerator design. Comprising the steps of optimizing sparse weight storage and management, designing a sparse convolution kernel storage structure and adopting a data organization scheme oriented to output channel optimization; designing a sparse convolution kernel index and scheduling mode, including dynamic row coordinate index storage and an intelligent dynamic scheduling mechanism; and constructing a sparse convolutional layer, wherein the sparse convolutional layer comprises an output channel serial computing architecture and an optimized MAC module. Through collaborative optimization of weight pruning and convolution kernel pruning, an efficient storage mechanism based on a non-zero weight and coordinates thereof is established, the storage requirement is remarkably reduced, and the calculation efficiency is improved; a serial / parallel configurable calculation mode of an output channel is designed, and the time division multiplexing technology of a single MAC module is combined, so that efficient utilization of FPGA logic resources is realized.

The utility model discloses a float / wire integrated storage device which comprises a wire box body and a float box body connected with the wire box body in a hinged mode, the wire box body can rotate by 90 degrees or 180 degrees along the end face of the float box body in a hinged mode, the wire box body is of a hollow structure, and the float box body can rotate by 90 degrees or 180 degrees along the end face of the float box body. Spare wire group mounting structures are arranged in the wire box body at intervals in a matrix mode, a plurality of foam ring spare wire groups are detachably connected to the spare wire group mounting structures, a containing space is formed in the float box body, and the containing space forms a concave storage structure from top to bottom along the end face of the float box body. The accommodating space comprises a first accommodating space, a second accommodating space and a third accommodating space which are of clamping groove structures; identification positions are arranged on the float box body corresponding to the first accommodating space, the second accommodating space and the third accommodating space, and corresponding numbers are arranged on the standby foam ring wire group on the wire box body in a sticking manner.

The invention provides a multi-modal data enhanced storage system based on a Parquet format. Unified storage and optimization of multi-modal data are achieved through native transformation and expansion of the Parquet format. The system comprises a modal perception format expansion component and a modal optimization coding strategy component, wherein the modal perception format expansion component realizes deep fusion of multi-modal semantics and a storage structure by expanding a Parquet logic type system and constructing a four-layer hierarchical metadata architecture from a file level to a page level; and performing instruction level fusion with a Parquet compression algorithm, executing targeted storage optimization based on semantic descriptors and modal characteristic parameters, and solving the problems of unified storage and efficient management of multi-modal data.

A storage body of a storage structure for vehicle includes a box that is open on one surface, and an opening and closing member by which the open surface of the box is openable and closable. The box has an extraction hole through which an object stored in the box is extractable. The extraction hole is located in a surface different from the open surface of the box. The storage body is swingably attached to a recess of an instrument panel. When the storage body is in a storage position, the opening and closing member faces a passenger compartment. When the storage body is in a swing position, the opening and closing member and the extraction hole face the passenger compartment.

The invention provides a materialized view updating method and device, a medium and electronic equipment. In the method, a temporary materialized view storage table can be introduced into a storage engine which only supports additional writing based on LSM-Tree and the like, so that after it is detected that a data table is changed, analysis and influence analysis can be carried out on change operation, and all materialized views stored in the temporary materialized view storage table are stored in the storage engine. And selecting the to-be-updated materialized view influenced by the change. Then, incremental updating can be performed on the to-be-updated materialized view according to the data change content, and an updating result of the to-be-updated materialized view is stored in the temporary materialized view storage table instead of directly modifying original materialized view data stored in the materialized view storage table. In the process, as the temporary materialized view storage table is not constrained by the additional write rule, efficient insertion, update and deletion operations can be supported, and incremental update of the materialized view can be realized on the premise of not damaging the performance of a bottom-layer storage structure.

The invention relates to an intermediate result storage and transparent replacement method and device for an asynchronous materialized view and electronic equipment, and the method comprises the steps: designing a storage structure of the materialized view, and obtaining an asynchronous incremental materialized view with a prepolymerization storage structure; when new data are inserted into the basic table, the asynchronous materialized incremental view is updated by using increment, and preset specific data are merged in the updating process to obtain a merged view; and rewriting query logic, and transparently rewriting the original query into a materialized view in combination with the asynchronous incremental materialized view. According to the method, through the design of a storage structure of the asynchronous incremental materialized view, a rewriting method for keeping query semantics and optimization of incremental data merging in the asynchronous incremental materialized view, the real-time query performance is effectively improved, and meanwhile the expandability and flexibility of the system are kept.

The invention discloses a monitoring multi-beam phased array control system based on FPGA (Field Programmable Gate Array) control, which belongs to the technical field of radars and comprises a control module, an antenna array, a memory, an upper computer and a serial port-to-parallel port communication module. According to the invention, dynamic loading and online updating of beam parameters are realized, rapid switching of multi-beam modes is supported, amplitude-phase compensation parameters stored in a memory and data of a temperature sensor are linked in real time, the duty ratio can be dynamically adjusted, the environmental adaptability of the system is improved, and the storage structure is optimized. The logic resource consumption of large-scale array control is reduced, state code real-time feedback enhances the system maintainability, and quick response and safe turn-off in a high-temperature scene are ensured in combination with over-temperature protection interruption.

The invention relates to the technical field of optical fiber boxes, and discloses a wire harness storage structure and an optical fiber box comprising the same, the wire harness storage structure comprises a storage frame and a plurality of independently stored storage units, each storage unit comprises a containing frame, a storage device, a winding device and a guider, the containing frames are used for separately storing optical fibers and ensuring that the optical fibers are not mutually wound and disordered, and the storage devices are used for storing the optical fibers; the storage device is movably inserted into the accommodating frame, provides an optical fiber winding space, can be pulled out and is convenient for rapid maintenance, and the winding device is rotationally assembled through a rotating shaft, so that the optical fiber is uniformly wound and is constant in tension, and the optical fiber is prevented from being damaged; the guider guides the optical fiber through the pressurization effect and ensures the orderliness during winding, dislocation and scattering are reduced, the stability and protection of the optical fiber in the storage process are ensured, and the use convenience and operability are improved.