2004 results about "Storage structure" patented technology

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.

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 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 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.

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 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.

The invention provides a sparse Transform model reasoning acceleration method based on a GPU platform, and the method comprises the steps: building a first storage format in a sparse Transform model, and carrying out the coding of a sparse mask of any type through the first storage format; wherein the first storage format comprises an inner layer block and an outer layer block; an outer layer block adopts a block compression sparse row structure, and row pointers and column indexes of a completely effective block and a partially effective block are recorded; the inner layer block adopts an unsigned 64-bit integer value bitmap and is used for representing masks in the block; based on the sparse mask matrix coded by the first storage format, performing sparse calculation on the query, the key and the value, and outputting a corresponding context vector; compared with a traditional sparse mask storage structure in the prior art that calculation sparsity and memory access regularity are difficult to consider when the masks present random, global or mixed distribution characteristics, the method has the advantages that support for any type of masks is achieved, storage overhead is reduced, memory access continuity is improved, good GPU parallelism is kept, and thread divergence and memory access conflicts are avoided.

The invention relates to a data recovery method and device, computer equipment, a storage medium and a program product. The method comprises the steps that a current repairing task of a hybrid tree is determined, the hybrid tree is a hybrid storage structure of a log merging tree LSM tree and a B tree, the hybrid tree comprises multiple layers, the multiple layers comprise the first layer of the LSM tree and all layers of the B tree, ordered character string tables of the first layer of the LSM tree are merged and sunk into the B tree, and each node in the B tree stores at least one ordered character string table obtained through merging and sinking; under the condition that the current repair task indicates that the repaired damaged data storage object belongs to the B tree, obtaining a B tree index of the damaged data storage object from the current repair task; searching a damaged data storage object from the mixed tree according to the B tree index, wherein the damaged data storage object is an ordered character string table or a node; and under the condition that the damaged data storage object is found, repairing the damaged data storage object. By adopting the method, the data recovery efficiency can be improved.

The invention discloses a self-calibration and drift compensation method for an automatic underground water monitoring station, and the method comprises the following steps: 1, transmitting a reference measurement starting instruction to an underground bubble method device by an edge calculation gateway, forming a reference data pair by a bubble method water level reference value and a reference acquisition moment, and writing the reference data pair into a reference data cache region; 2, the edge computing gateway creates a state storage structure and a covariance storage structure; and step 3, the edge computing gateway reads a drift amount estimation value from the state storage structure as a drift compensation amount, and when a drift estimation standard deviation exceeds a set threshold, bubble method hardware reference acquisition is triggered. According to the invention, the problems of high manual calibration cost and lack of independent reference support in pure software estimation in the prior art are solved, so that a monitoring station can stably operate for a long time under an unattended condition and continuously output high-precision underground water level monitoring data.

The invention provides a block storage method and device for a sparse matrix, and is applied to the field of data storage.The method comprises the steps that block storage is conducted on the sparse matrix through a target sparse storage format, the target sparse storage format comprises a first-layer storage structure, a second-layer storage structure and a third-layer storage structure, comprising the following steps: in a first-layer storage structure, dividing a sparse matrix into blocks with the row and column number of 16 * 16; in the second-layer storage structure, the blocks are divided into sub-blocks with the row and column number being 4 * 4, the positions of non-zero sub-blocks in the sub-blocks are marked based on a 16-bit first-level bitmap, and the non-zero sub-blocks are stored; in the third-layer storage structure, marking the positions of the non-zero elements in the non-zero sub-blocks based on a 16-bit secondary bitmap, and positioning the non-zero element values of the non-zero elements through a secondary value pointer; according to the invention, the storage compatibility among different sparse cores can be realized.

The utility model discloses a high antiknock gasoline transport tank, which belongs to the technical field of gasoline transport tanks and comprises a tank body, an input pipe orifice is arranged at the top of the tank body, an output pipe orifice is arranged at the bottom of the tank body, the tank body comprises an outer shell and an inner shell, a gap is reserved between the outer shell and the inner shell, and the outer shell is positioned outside the inner shell. Supporting partition plates are arranged between the outer shell and the inner shell, the space between the supporting partition plates is filled with a thermal insulation material, a buffering assembly is arranged in the inner shell, the inner shell and the outer shell are cylindrical, the two ends of the inner shell and the two ends of the outer shell are arc protruding parts, the thermal insulation material is rock wool, and the buffering assembly comprises a static partition plate fixed to the inner wall of the inner shell; according to the gasoline transportation tank, a stable storage structure can be provided for gasoline, the overall structural strength of the tank body is improved through the supporting partition plate, in the transportation process, the movable partition plate can rotate and block the passing opening, and the gasoline is prevented from excessively impacting the inner shell in the shaking process.

The invention relates to the technical field of ship data management, and particularly provides a ship inspection data intelligent management system and method based on structured storage, and the method comprises the following steps: obtaining a ship number, an inspection item and an inspection number, and constructing a data positioning layer; obtaining an inspection document, performing content analysis on the inspection document, and constructing a data structure layer; obtaining multi-source inspection data, associating the multimedia inspection data in the multi-source inspection data with the data content of the data structure layer, and constructing an association mapping layer; constructing a three-dimensional data storage structure based on the data positioning layer, the data structure layer and the association mapping layer; based on table cell index description, binding the multi-source inspection data to table cells with corresponding semantics, and performing cell data fusion to obtain a plurality of assembly cells; and dynamically reconstructing the inspection document based on all the assembly cells to obtain an interactive inspection document, so that the structural data storage of the inspection data is realized, and the inspection efficiency and the traceability positioning efficiency after data archiving are improved.

The invention relates to the technical field of computers, in particular to a database hot loading method, device and equipment based on a persistent memory and a medium, and the method comprises the following steps: constructing a three-level storage structure comprising a dynamic random access storage layer, a persistent memory layer and a solid state disk storage layer; when the current database is in a starting stage, loading the pre-write log from the persistent memory layer, and starting to execute a redo operation and / or a cancel operation from a preset check point so as to recover the state of the current database; and when the current database is in a running stage, obtaining a current data access frequency and a current resource state of each layer in the three-level storage structure, and carrying out cross-layer migration on data in the three-level storage structure based on a preset dynamic scheduling strategy according to the current data access frequency and the current resource state. Therefore, the problems that a traditional database system is long in starting time, high in memory cost, large in resource occupation and the like are solved, and the overall performance and the resource utilization efficiency of the database system are improved.

The invention relates to the technical field of electronic design automation, in particular to a function coverage rate data compression and storage method, system and device and a storage medium. Collecting the coverage rate of each coverage point or cross coverage and the hit times of each bin subordinate to the coverage point or the cross coverage; acquiring a coverage rate grade and a corresponding data structure; dynamically selecting a target data structure according to the target coverage rate grade of the coverage rate of the target coverage point or the cross coverage; operating a corresponding target data structure through a dynamic storage selector according to the target data structure, wherein the target data structure comprises a flag bit of the current data structure and storage structure data; wherein the storage structure data comprises at least one of the serial number of the bin and the hit frequency of the bin, and the storage overhead is remarkably reduced.

The utility model relates to the technical field of geothermal drilling machine drilling tool placement, and discloses a geothermal drilling machine drilling rod bin which comprises a storage structure, a drilling rod bin body and a drilling rod bin body, the storage structure body comprises a plurality of sets of placement layers which are arranged in a layered mode, and intervals are arranged between the placement layers; the upper and lower adjacent groups of placing layers are parallel and horizontally distributed, and the two ends are aligned; according to the pipe arranging bin, in the drilling construction process, the occupied area for storing drilling tools is greatly reduced, the drilling tools can go up and down a drill floor conveniently, and the pipe arranging bin is integrally constructed and convenient to carry.

The utility model relates to an optical lens storage structure which comprises a storage bin, a fixed bottom plate, a reinforcing plate and a driving assembly. A plurality of layers of supporting plates are sequentially arranged in the storage bin from top to bottom, a plurality of positioning strips are arranged on the supporting plates, the supporting plates are divided into a feeding area and a discharging area by the positioning strips, and material trays can be placed on the feeding area and the discharging area; the driving assembly comprises a lead screw and a motor, the two ends of the lead screw are fixedly connected with the storage bin and the reinforcing plate respectively, a lead screw nut is installed on the lead screw and fixedly connected with a rotating seat, the rotating seat is connected with a lead screw base through a bearing, the lead screw freely penetrates through the rotating seat and the lead screw base, and the lead screw base is fixedly installed on a fixed bottom plate. The motor drives the lead screw nut to rotate, so that the storage bin gets close to or away from the fixed bottom plate; according to the utility model, the manual labor intensity is reduced, and the automation degree is high.

The invention provides a heterogeneous data synchronization method and device for a database and a medium, and belongs to the technical field of database data processing. The method comprises the following steps: accessing a source end database through a preset database connection interface, and obtaining corresponding to-be-synchronized business data and source end table metadata; according to the source end table metadata and a preset type mapping rule, generating a target table of a target end database; constructing a binary assembler corresponding to the target table based on an underlying storage structure set obtained by pre-analyzing a target end database; wherein the binary assembler is used for converting to-be-synchronized service data into a binary stream containing a first data segment and a second data segment; the first data segment at least comprises a type identifier and storage format information corresponding to the target end database. And according to the to-be-synchronized business data and the corresponding binary assembler, generating a corresponding binary input stream, and writing the binary input stream into the target table so as to complete heterogeneous data synchronization of the source end database and the target end database.

A manufacturing system including an automated storage and retrieval system (ASRS) structure with a three-dimensional array of storage locations distributed throughout a two-dimensional footprint of the ASRS structure at multiple storage levels; workpieces stored within the storage locations of the ASRS structure; robotic storage / retrieval vehicles (RSRVs) navigable within the ASRS structure in three dimensions to access the storage locations, and multiple manufacturing cells positioned outside the ASRS structure, is provided. The manufacturing system includes a track structure attached to the ASRS structure and defining one or more travel paths traversable by the RSRVs from the ASRS structure. The same fleet of RSRVs that is navigable within the ASRS structure is operable to deliver the workpieces to the manufacturing cells. One or more of the manufacturing cells are positioned along the track structure, thereby receiving convenient access to the workpieces along with associated tool pieces and workpiece supports for manufacturing goods.

A gripping device for being suspended from a load handling device for lifting and moving containers stacked in stacks in a grid storage structure including a plurality of tracks arranged in a grid pattern above the stacks of containers. The gripping device including a frame having a top side and a bottom side. The frame has a substantially downwardly extending peripheral wall defining at least one opening through the top side and bottom side of the frame. A gripping mechanism is mounted to the peripheral wall and is configured to releasably grip a container from below the frame.

Systems and methods of monitoring location labels on product storage structures of a product storage facility include an image capture device that captures images of the product storage structures and a computing device programmed to analyze the images of the product storage structures captured by the image capture device to detect location labels located on the product storage structures. Based on detection that one or more location labels located on the product storage structures are associated with an error condition, the computing device generates a location label alert indicating at least one location label that requires a location label check by a worker at the product storage facility. A mobile application executable on a device of the worker at the product storage facility displays a user interface that lists location labels alerts and permits the worker to print replacement labels for product structures associated with the alerts.

The invention relates to the technical field of thermal insulation materials, and discloses a thermal insulation material with fireproof and thermal insulation characteristics and a manufacturing method thereof, and the thermal insulation material is prepared by building a multi-layer gradient phase change thermal storage structure, forming a biomineralization inorganic skeleton, arranging a high-temperature activation self-repairing system and performing composite reinforcement on plant fibers and attapulgite. The fireproof time of the material is remarkably prolonged through a multi-protection mechanism, the self-repairing capability after a fire disaster is achieved, and the technical problems that a traditional fireproof heat-insulating material is insufficient in fire resistance, structural damage cannot be repaired, and a phase-change material is prone to loss are effectively solved; the material is especially suitable for high-fire-risk environments such as industrial plant firewalls, tunnel inner wall fireproof heat insulation layers and petrochemical equipment protection layers.

The invention discloses a fault processing method and a related device, and relates to the field of information processing, and the method comprises the steps: monitoring the state of a link connected with a retimer, and the retimer can carry out the retiming of a connected storage structure through the link; and representing the link fault based on the state of the link, and controlling the retimer to reestablish the link with the storage structure.