1131 results about "Storage structure" patented technology

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 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 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 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.

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.

The invention relates to the field of tensor processing, and provides a tensor dimension recombination method and device for a tensor processing unit, and a chip. The method comprises the following steps: checking whether the total number of elements of an input tensor is equal to that of elements of a target output tensor; based on the shape parameters of the input tensor and the target output tensor, storage layout information and hardware architecture characteristics of a tensor processing unit, performing mode judgment on the current dimension recombination operation to judge whether the current dimension recombination operation is matched with a preset high-frequency special judgment mode or not; when the current dimension recombination operation is matched with the high-frequency special judgment mode, a hardware acceleration execution mode corresponding to the high-frequency special judgment mode is adopted, and tensor dimension recombination is completed in an on-chip storage range; when the current dimension recombination operation is not matched with the high-frequency special judgment mode, tensor dimension recombination is completed through parallel computing and cooperative processing in a general recombination execution mode oriented to a hierarchical storage structure. The respe execution efficiency can be improved, occupation of on-chip memory resources is reduced, and waste of bandwidth resources is avoided.

Methods and systems for a data marketplace in a fluid conveyance device includes a self-organizing data marketplace. The self-organizing data marketplace includes at least one data collector and at least one corresponding fluid conveyance device in an industrial environment, wherein the at least one data collector is structured to collect detection values from the fluid conveyance device; a data storage structured to store a data pool comprising at least a portion of the detection values; a data marketplace structured to self-organize the data pool; and a transaction system structured to interpret a user data request, and to selectively provide a portion of the self-organized data pool to a user in response to the user data request.

The invention discloses a large model mobile terminal inference method supporting MoE slicing and video memory virtualization, and belongs to the field of artificial intelligence calculation. The method is realized through cooperation of a dynamic MoE slice scheduler and a video memory-memory unified virtualization manager, the scheduler evaluates hardware and model states in a multi-dimensional manner, an expert activation and loading mode is dynamically determined, and secondary experts are cut when a video memory is insufficient; the virtualization manager maintains hot, warm and cold hierarchical storage pools and executes data prefetching and swapping out, and expert slices of different computing cores complete topology sensing communication through an on-chip high-speed bus. According to the method, video memory self-adaptive scheduling is achieved, lossless and smooth degradation can be achieved, reasoning time delay and power consumption are reduced, the resource utilization rate is increased, a storage structure and a slice object can be flexibly adjusted, and the method is suitable for various mobile hardware and suitable for a mobile terminal large model reasoning scene.

The utility model relates to the technical field of medicine storage boxes, and provides a medicine storage structure which comprises a shell, the edge of the top of the shell extends outwards to form a bottle opening, a groove is formed in the shell, the size of the groove can allow two fingers of a user to stretch in, a positioning groove used for storing a medicine bottle is formed in the bottom of the shell, and the edge of the bottle opening extends upwards to form an edge. An end cover is hinged to one end of the bottle opening, and the end cover is closed in the edge of the periphery of the bottle opening.

The invention belongs to the technical field of computer technology server data processing, and discloses a method and a system for generating observable data through lightweight collection of WEB container logs. According to the method, a mode of expanding a filter of a WEB container is adopted, a user-defined filter is added to generate data in a set format, and the data is output to a log file; the method comprises the following steps: extracting data in a log, processing the data, and then calling a log storage module to store the data in a storage; creating an index according to the label, and maintaining a mapping relationship between the index and the original log content; and converting the log data into an observable view by utilizing the maintained index and data file storage structure. According to the method, lightweight design serves as the core, logs serve as carriers of original data, the resource cost of the data from generation, collection to display is reduced, the observability requirement is met, and the provided data can meet aggregation display of common various dimension index data.

The invention relates to the technical field of vegetable cleaning, in particular to a movable vegetable cleaning machine and a cleaning method.The movable vegetable cleaning machine comprises a base and a water tank installed on the base and further comprises a first conveying belt and a second conveying belt which are arranged at the two ends of the base respectively, and vegetables enter the water tank through the first conveying belt and then are guided out of the water tank through the second conveying belt; the partition plate is arranged in the moving direction of the vegetables, the partition plate is located above the water tank, and the partition plate can be driven by a direction adjusting mechanism arranged on the water tank to make contact with the water surface in the water tank, so that a storage structure on the partition plate collects dirt; the separating plate is used for collecting dirt floating on the water surface, the direction adjusting mechanism drives the separating plate to incline subsequently, the washing mechanism is matched to remove the dirt, separation of the dirt and the vegetables is achieved, the separating mechanism can effectively reduce the chance that fine silt enters gaps or wrinkles of the roots of the vegetables, and the vegetable planting efficiency is improved. The problem of secondary pollution is avoided, so that the cleaning effect is improved.

The invention discloses a civil engineering structure monitoring data fusion processing and visual analysis method based on a cloud computing architecture. In the invention, through standardized integration and dynamic cleaning of multi-source heterogeneous data, in a data access stage, an edge node carries out real-time preprocessing on vibration strain displacement and other multi-type sensor data, and in combination with a moving average filtering and abnormal value elimination mechanism, the stability of original data is ensured; after entering the cloud, heterogeneous data output by different devices are integrated into a standard column storage structure through unified format conversion and unit calibration, and meanwhile, missing values and sensor drift errors are processed by adopting linear interpolation and drift correction technologies, so that the data quality is remarkably improved. The hierarchical processing mode not only retains the real-time advantage of the edge end, but also realizes deep cleaning of large-scale data by means of cloud computing power, so that a more reliable data basis is obtained for subsequent fusion analysis, and structural state misjudgment caused by data exception is avoided as much as possible.

The invention relates to the field of safety air bag blast tube machining, and discloses a laser tapping machine for a safety air bag blast tube, the laser tapping machine comprises a bottom plate and a laser tapping head, two first fixing plates are fastened on the upper surface of the bottom plate close to the middle through bolts, and a material transfer structure is arranged between the two first fixing plates; a second fixing plate is fastened to each first fixing plate through a bolt, abutting turnover structures are arranged on the two second fixing plates, two third fixing plates are connected to the two sides of the upper face of the bottom plate, and a laser trepanning head is arranged on a movable lifting structure between the two third fixing plates; material storage structures are arranged on the edges of the front side and the rear side of the upper face of the bottom plate, when a blasting pipe is fed to a tapping position, the blasting pipe is automatically subjected to abutting tapping through an abutting overturning structure, the abutting blasting pipe can be automatically driven to be overturned, the tapping requirements of different positions are met, operation is more labor-saving and convenient, and the production efficiency is improved. And the working efficiency is greatly improved.

The invention relates to the technical field of pipeline welding, in particular to a serpentine pipe full-automatic welding multi-row pipe synchronous positioning frame which comprises two positioning frame bodies and a plurality of conveying rollers rotationally installed between the two positioning frame bodies, and a welding table is welded to the outer wall of one positioning frame body; the welding table is provided with a material storage structure, a material pushing structure and a shielding structure used in cooperation with the material pushing structure. The pushing structure comprises an electric telescopic rod fixed to the upper surface of the welding table, and a pushing frame is installed at the output end of the electric telescopic rod. According to the multi-row pipe synchronous positioning frame for full-automatic welding of the serpentine pipes, closed welding is achieved through the vertically-distributed baffle plate structures, strong welding arc light is effectively isolated, eyes and skin of operators are protected, welding smoke is limited in the closed cavity and can be efficiently extracted and purified from the source through air extraction equipment, and the welding quality is improved. And the workshop air quality is greatly improved.

The invention belongs to the technical field of integrated circuits, and particularly relates to a self-loading storage unit based on a nonvolatile storage unit and a storage array. The self-loading storage unit comprises an SRAM (Static Random Access Memory) unit structure and a nonvolatile storage structure; the self-loading storage array comprises N rows and N columns of self-loading storage units and N peripheral circuits, the self-loading storage units in the same row share the same word line WL, share the same balance signal line EQ, share the same reset signal line RS, share the same first switching signal STRS and share the same second switching signal STRSN; the self-loading storage units in the same column share the same source line SL, share the same first bit line BL and share the same second bit line BLB; according to the self-loading storage array, the data configured in the configuration storage array circuit cannot be lost after the FPGA is powered down, and the data does not need to be read from an external configuration memory for operation during power-on.

The present disclosure provides a kind of atmospheric pollution monitoring device based on wireless data transmission, comprising: base, the adjusting structure is installed on the base, the wind direction detection structure and air quality monitoring structure are installed on adjusting structure, and the power generation structure is installed on adjusting structure;Air composition detection structure, the air composition detection structure corresponds with air quality monitoring structure, drive structure and storage structure are installed in base, storage structure corresponds with power generation structure, drive structure corresponds with adjusting structure and air quality monitoring structure, the locking structure is installed on base, the locking structure corresponds with adjusting structure, and the locking structure corresponds with drive structure.In the atmospheric pollution monitoring device based on wireless data transmission in the present disclosure, the composition of air can be directly monitored, so that artificial sampling is not needed to be sent into laboratory to analyze the composition, so as to improve the accuracy of air composition detection and reduce labor cost.

A hair accessory storage device is provided. The device is a hair accessory storage device designed to efficiently organize and provide easy access to various hair accessories. The device comprises a cylindrical body that serves as the primary storage structure, allowing hair ties, scrunchies, and similar accessories to be placed around the same to prevent tangling and slipping. The body may be made of plastic or metal with optional coatings to enhance grip and durability, including antimicrobial treatments. At least one extendable and lockable arm extends from the cylindrical body to store secondary accessories such as bobby pins and barrettes, featuring gripping channels, textured surfaces, or magnetic elements for secure retention. Various attachment mechanisms, including hooks, suction cups, adhesive strips, magnetic backings, and over-the-door clips, provide flexible mounting options for different surfaces.

This utility model relates to an integrated support and storage structure for lightweight testing equipment in smart factories, belonging to the technical field of support and storage devices. It includes an upper housing and a lower housing, with one end of the upper and lower housing rotatably connected and the other end connected by a latch. The lower housing has a storage slot inside, and the upper housing has a placement slot inside. A baffle plate is slidably engaged inside the upper housing. Telescopic legs are rotatably installed on one side of the upper and lower housings. A handle is engaged at the middle of the ends of the upper and lower housings. The upper and lower housings facilitate the storage and transport of testing equipment and accessories. In use, by unfolding the four telescopic legs, the upper and lower housings form a tabletop support. The baffle plate and extension plate further increase the placement area during support, making it convenient for using testing equipment in a smart factory.

The invention relates to the technical field of cattle and sheep grazing, in particular to electronic fence equipment with a cattle and sheep driving function and a using method, the electronic fence equipment comprises a mounting frame and further comprises a charging storage structure connected with the mounting frame, the charging storage structure comprises a charging cabinet, and multiple sets of neck-hung position indicators are movably mounted in the charging cabinet; the subpackaging moving structure is connected with the mounting frame, the subpackaging moving structure comprises a transverse moving mechanism, the transverse moving mechanism is connected with two groups of flying, hoisting and driving platforms, a synchronous lifting limiting mechanism is arranged below the transverse moving mechanism, the synchronous lifting limiting mechanism is connected with a soil-piercing supporting mechanism, and the synchronous lifting limiting mechanism is connected with a transfer communication camera mechanism. According to the invention, through the mutual cooperation of the charging storage structure and the split charging moving structure, the effect of independent networking is realized, the stability of positioning signal transmission is enhanced, and through the parallel positioning and camera shooting mode, digital and three-dimensional grazing is realized, so that more manpower is saved, and grazing personnel can obtain grazing information more easily.

The invention discloses a material conveyor, and relates to the technical field of material conveying equipment. The material conveyor comprises a first material conveying structure, a material screening structure, a horizontal transferring structure, a material storing structure, a vertical transferring structure, a material distributing structure and two second material conveying structures. Materials are synchronously screened in the conveying process, and centralized temporary storage and multi-channel material distribution conveying are achieved through horizontal and vertical transfer. The device is compact in structure, high in automation degree, capable of effectively improving the material conveying efficiency and reducing manual intervention, and suitable for continuous conveying and distribution operation of various industrial materials.

The heightening frame and the combined storage structure thereof are characterized in that the heightening frame comprises a heightening frame body, a basic heightening module and a functional module, the heightening frame body is provided with a top face bearing part and a bottom face mounting part, and at least one set of linearly-distributed inserting guide rails are arranged on the bottom face of the top face bearing part in the length direction; the bottom surface mounting part is provided with a plurality of second butt joint structures; the basic heightening module is composed of supporting assemblies, and the supporting assemblies are matched through butt joint structures and connecting structures to achieve supporting and vertical stacking extension. The functional modules are matched with the guide rails through the sliding blocks, and sliding adjustment and forward and reverse posture switching along the bottom face of the body are achieved. According to the combined storage structure, the two main bodies are in butt joint in an upright and inverted mode to form the containing gap. Flexible layout and form switching of functional modules are achieved, the height can be modularly adjusted, a double-layer storage space is constructed through the combined storage structure in a combined mode, and the structural strength and the space utilization rate are improved.

The utility model provides a storage device for epoxy adhesive production, which comprises a base structure, the top of the base structure is provided with a plurality of storage structures, the plurality of storage structures are stacked in sequence, and the bottom of the bottommost storage structure is provided with a connecting pipe. The device is reasonable in design, by arranging the transmission lead screw capable of rotating, the transmission lead screw can drive the lifting plate to ascend and descend, when the lifting plate moves downwards, the storage barrel can suck epoxy adhesive in the connecting pipe into the storage barrel to be stored, when the epoxy adhesive needs to be discharged, the lifting plate moves upwards, and therefore the epoxy adhesive can be conveniently discharged. And the lifting plates push the epoxy adhesives in the storage barrels to enter the storage barrels again, the epoxy adhesives in the multiple stacked storage barrels can be placed in and discharged out at the same time, and the epoxy adhesives do not need to be taken down.

This invention discloses a method, system, and medium for storing degree-of-freedom numbers in a numerical computation grid, relating to the field of numerical computation technology. By improving the storage structure of degree-of-freedom numbers, the storage and access efficiency of degree-of-freedom numbers is optimized, and different numbering methods can be selected according to actual needs, thereby improving the flexibility and overall performance of numerical computation. Two data sets are designed for each variable group to uniformly store the degree-of-freedom numbers of variables within the group, and the storage space occupied is effectively reduced through data compression.

The utility model discloses a folding storage type movable bread rack, and particularly relates to the technical field of bread storage racks, the folding storage type movable bread rack comprises supporting rods, primary bread baskets, hanging claws, secondary bread baskets and load hanging ropes, V-shaped folding frames are installed at the lower ends of the opposite faces of every two sets of supporting rods, the secondary bread baskets are arranged below the primary bread baskets, and the load hanging ropes are arranged on the V-shaped folding frames. A loading hanging rope is mounted in an inner cavity of the mounting ring; the folding storage structure is formed by the four groups of supporting rods and the four groups of V-shaped folding frames, and when the folding storage structure is not used, the supporting rods and the V-shaped folding frames can be folded by folding the four groups of bearing connecting rods, so that the occupied space during storage is greatly reduced, the overall size is greatly reduced, the shape is regular, and the folding storage structure is convenient to store and carry; a plurality of groups of bread baskets for containing bread can be stacked during storage, so that the occupied space can be reduced, and a user can be allowed to increase or decrease the number of the used bread baskets at any time according to the number of bread and the order quantity.

A package sortation system includes a storage structure, an auto-packing machine configured to form packages, a robot including one or more bin retrieval devices, and a sortation device. The storage structure includes pillars defining vertical shafts, the pillars supporting a grid formed of a first set of parallel rails extending in a first direction and a second set of parallel rails extending in a second direction perpendicular to the first direction, the first and second set of parallel rails collectively defining a plurality of grid spaces. The bin retrieval includes a grapple extendable and retractable in a vertical direction, and the sortation device is arranged to be manipulated by grapple of the robot to sort packages from the auto-packing machine into a respective one of a plurality of end locations.

The application provides a geological big data storage structure construction method, comprising: inputting engineering investigation data, regional geological data, groundwater data and three-dimensional geological model data generated by a data acquisition end into a geological big data center for storage; the geological big data center standardizes the engineering investigation data, the regional geological data, the groundwater data and the three-dimensional geological model data and stores them into a structured non-spatial database, a structured spatial database and an unstructured database of the geological big data center; a geological big data service center constructs standard services of the structured non-spatial data, the structured spatial data and the unstructured data and sends them to a data application end. The data big data center standardizes data management, classifies and converts data and stores the data in different areas, so that the purpose of multi-end synchronization and use is achieved.

The application provides a data storage method, medium and computer program product for a large model. The data storage method for the large model comprises: in an inference stage of the large model, organizing quantized data to be stored and corresponding quantized parameters in a same storage tensor, wherein the storage tensor has multiple dimensions, and from an outermost layer to an innermost layer dimension, the dimensions comprise: a block dimension corresponding to a physical storage block in a paging management mechanism, each physical storage block having a continuous physical address range; an attention head dimension corresponding to an attention head defined for the large model; a word element dimension corresponding to a word element generated in the inference stage; a quantization grouping dimension corresponding to a quantization grouping of each word element on a feature dimension of each attention head; and a data dimension organizing quantized data and quantized parameters of each quantization grouping; and based on a logical storage structure of the storage tensor, storing the quantized data and the quantized parameters in a physical storage block of a cache.

This utility model relates to the technical field of kitchen utensil storage, proposing a modular combined storage structure, including a support component for expanding the storage space of a storage unit, and an assembly component positioned and installed on the storage unit. The support component carries items and connects with the assembly component to form a storage expansion module that cooperates with the storage unit. The modular combined storage structure achieves flexible expansion of the storage unit space through the combined design of the support component and the assembly component. This structure allows retailers to freely assemble according to actual usage needs, increasing or decreasing the number of storage expansion modules in the storage unit. A storage area for consuming condiment containers of different heights is formed between the support component and the storage unit. The storage unit can accommodate taller condiment containers, while the support component can accommodate shorter condiment containers, effectively solving the problems of wasted space and unsightly arrangement caused by mixing short condiment jars with tall containers.