872 results about "Linked list" patented technology

An Automated AI-Driven Lifestyle Orchestration System proactively manages a user's daily life by intelligently populating calendars with relevant, time-sensitive marketing objects. This is achieved through sophisticated AI-driven analysis of user directives, preferences, and real-time location data obtained via computing devices like smartphones. The system leverages advanced media identification modules employing fingerprinting and watermarking to accurately match user-captured media (via a Percipient Sample Pack (PSP)) to specific content and associated products. It facilitates dynamic commerce through hierarchical linked lists for purchasing authentic or similar items, supported by an affiliate program. This inventive solution significantly improves personal organization and digital commerce by transforming passive interaction into a proactive, intelligent, and monetizable user experience.

The invention relates to the field of photovoltaic operation and maintenance, and discloses a photovoltaic operation and maintenance decision-making system and method based on data driving, and the method comprises the steps: carrying out the continuous mapping of a photovoltaic power station assembly cluster through an acquisition node, and generating a data priority chain table related to the shielding sensitivity; performing cross-domain synchronous tracking of a multi-scale variation sliding window on the data priority linked list, and constructing a multi-dimensional coupling feature tensor of photovoltaic array performance degradation; based on a multi-dimensional coupling feature tensor, a self-adaptive redundancy stripping model is utilized to extract a component attenuation evolution trajectory, and power generation efficiency clustering density mutation and power entropy migration inflection points are identified; component clusters and electrical coupling chains corresponding to the potential performance degradation candidate event set are calibrated as candidate intervention areas, and a local power generation income interference topological graph is constructed; and based on the local power generation income interference topological graph, dynamically reconstructing the sensing weight, the operation and maintenance window and the trigger threshold. The method has the advantage of improving the overall power generation income of the photovoltaic power station.

The invention discloses a corrugated carton production management system and method, and relates to the technical field of corrugated carton production, the system comprises a production scheduling module, a material tracing module, an equipment cooperation module, a multi-mode detection module and a cost control module, and solves the problem that supply and demand relationships, production efficiency and quality management and control are not coordinated; according to the technical key points, an order ID is coded into an integer chromosome, sequential crossover and reverse mutation operation are applied, a fuzzy comprehensive evaluation model is constructed by combining Hash chain table and local hill climbing method optimization, and factors are quantified through a trapezoidal membership function, so that the order delivery punctuality rate and the equipment utilization rate are improved, and the mold replacement cost is reduced; the real-time production cost is collected and calculated through Kafka and Flink, an operation cost method model is constructed to maintain a standard cost database, abnormity is detected through a CEP engine, the cost hyper-branched risk is predicted through an LSTM-Transform hybrid neural network, a thermodynamic diagram is generated through a cache result to assist decision making, the cost accounting delay time is shortened, and the hyper-branched processing efficiency is improved.

The invention belongs to the technical field of water surface target identification and tracking, and particularly relates to a tracking system and a tracking method for a water surface target under an incomplete information condition, which can be used for solving the problems of incomplete target information and tracking loss caused by wave shielding of an unmanned ship in a marine environment. The multi-modal feature extraction and fusion module is used for improving a convolutional neural network to extract visual features, constructing motion feature vectors in combination with multi-sensor motion information, and performing weighted fusion to obtain multi-modal features; the dynamic target feature library management module stores feature vectors and timestamps through a hash table-linked list structure, and maintains aging by means of a sliding window; when the target is reproduced, the re-identification algorithm module based on space-time joint matching integrates the feature similarity, the position distance and the time interval to determine the ID; the tracking parameter correction module uses Kalman filtering and combines a motion model and an observation value to correct parameters. The method improves the accuracy and stability of target tracking, and has application prospects in the fields of marine rescue, marine monitoring and the like.

The invention relates to the technical field of electric digital data processing, and discloses a multi-dimensional data logic processing method based on an artificial intelligence algorithm, which comprises the following steps: receiving a target discrete data packet, extracting metadata, and calculating to generate a dimension entropy feature vector representing data logic complexity; inputting the vector into a preset topological mapping model, and outputting an initial adjacent matrix; calling a feedback suppression mask matrix generated based on a historical operator utility state, and executing bitwise logic AND operation with the initial adjacent matrix to generate a corrected effective topological matrix; the matrix is analyzed, a logic operator function pointer is dynamically indexed in an instruction cache, and a directed acyclic execution linked list is constructed; according to the method, redundant logic nodes in AI prediction are definitely eliminated through a bit operation mask mechanism based on historical feedback, and deterministic convergence of processing delay and optimal matching of computing power resources are achieved.

The invention provides a medicine bottle array detection system based on vision and sensing fusion, and relates to the technical field of data processing, and the system comprises the steps: obtaining the spatial distribution data of a vision unit and the posture state data of a sensing unit, fusing the position parameters and state parameters of each bottle body, building a multi-dimensional data node under a unified time index, calculating the spatial aggregation degree of the medicine bottle array to obtain an array quantity, combining the aggregation change of each time point into an evolution chain table, carrying out joint operation on the difference result and the state parameter of adjacent nodes in the evolution chain table, calculating the dynamic coupling degree of the medicine bottle array to obtain a sequence potential energy value, and dividing the sequence potential energy values of the different numerical value intervals into a plurality of level nodes, and performing consistency analysis and anomaly detection on features of the different level nodes to obtain detection result data. By detecting the state of the medicine bottles and the arraying direction, bottle toppling early warning is achieved.

The invention discloses a storage space management method and device, a storage medium, electronic equipment and a program product, and relates to the technical field of distributed storage, and the method comprises the steps: obtaining a plurality of physical addresses of a plurality of physical storage equipment on a server corresponding to different nodes in a distributed storage system; a plurality of physical addresses are connected in series to generate address space pools corresponding to different servers, and linked lists corresponding to the address space pools are determined; under the condition of determining that the target object initiates the logical volume creation request, determining a target number of logical addresses from the address space pool according to the linked list, and recording a mapping relationship among the logical volume, the logical addresses and a target physical address associated with the logical addresses; the storage space associated with the logical volume is managed based on the mapping relation, the storage space at least comprises two physical storage devices, and the problem that when an existing distributed storage system carries out data storage, metadata access delay is caused by data striping is solved.

The invention relates to the technical field of remote direct memory access, in particular to an RDMA shared receiving queue optimization method and device, equipment, a medium and a product. A shared receiving queue is divided into multiple containers, and the multiple containers are connected in series through a logic linked list; when the RDMA data of the queue pair arrives, if the container is not bound, distributing a container for the queue pair; monitoring the release state of the shared receiving queue entry; and when the receiving side software monitors that the target container is in the completely idle state, re-linking the target container into the logic linked list for distribution independent of the states of other containers in the plurality of containers. According to the method disclosed by the invention, dynamic reuse of resources can be realized through resource monitoring taking the container as granularity and an out-of-order recovery mechanism independent of other container states. After all the SRQEs in any container are released, the SRQEs can be immediately put into redistribution, so that the problem of waste of tail idle resources caused by occupation of head resources in a traditional linear queue can be thoroughly avoided.

The invention discloses a data association analysis method and device based on food safety event emergency disposal. The method comprises the following steps: S1, acquiring food data; s2, constructing a database linked list according to the food data; s3, obtaining a food safety traceability flow chart according to the association of the food safety links in the database linked list; s4, according to the food safety traceability flow chart, obtaining a food safety traceability information model through Bayesian network learning; and S5, according to the origin of the scene where the food emergency occurs, through the food safety traceability information model, obtaining traceability information of the food safety emergency. By adopting the technical scheme of the invention, the direct influence and potential threats of the food safety emergencies are effectively mastered, and the problem that the emergency disposal efficiency of the food safety emergencies is influenced is avoided.

The invention relates to the technical field of identification tracing, in particular to a stage identification tracing method and system for building construction operation and maintenance BIM data. The method comprises the steps of performing data preprocessing on acquired BIM model data; component ID distribution binding is carried out according to the preprocessed BIM model data; stage identification codes are generated based on the component IDs; recording component version information and responsibility information according to the stage identification code; establishing a multi-stage evolution linked list based on the recorded information; and generating a tracing report according to the multi-stage evolution chain table. Through unified component full life cycle ID (LCID) binding, stage identification code generation and multi-stage evolution chain table construction, the problem that BIM data in the design, construction and operation and maintenance stages are independent and repeated in modeling is solved.

The invention discloses a system and a method for supporting multi-version concurrency control in a column storage database, belongs to the technical field of databases, and aims to solve the technical problem of how to provide efficient and flexible concurrency control and data operation management. Comprising a multi-version management module for creating a transaction ID and a timestamp for each transaction and maintaining a version linked list for each data segment in a column storage database; the operation optimization module is used for performing data operation on the data in the column storage database based on the submitted transaction, performing operation according to a comparison result of a version number and a transaction timestamp when the data operation is executed, and storing the data before modification into a revocation buffer area; the transaction conflict processing module is used for detecting and processing transaction conflicts based on a preset conflict processing rule; the storage space management module divides the storage of the column storage database into table storage and local storage; and the version linked list management module is used for deleting the version information which is no longer referenced by any active transaction based on the transaction state and the version information.

The invention discloses an inspection data processing method and system, relates to the technical field of data processing, and ensures the accuracy and stability of authentication scheduling in a multi-interface cluster environment by responding to concurrent tasks and dynamically selecting authentication tokens according to interface features. The acquisition request is constructed based on the interface characteristics, so that the adaptive access to the heterogeneous interface path is realized, and the compatibility of large-scale parallel acquisition is guaranteed; by uniformly converting original data into a structured format and carrying out anomaly detection and linked list storage, the problems that multi-source heterogeneous data is difficult to process and an abnormal state is difficult to systematically track are solved; and finally, a standardized report is automatically generated according to a preset rule, and accurate marking of abnormal information is realized, so that full-process automation from data acquisition to report output is completed, and the reliability, the processing efficiency and the intelligent level of inspection operation are remarkably improved.

The invention relates to a network-on-chip virtual channel routing system, a data forwarding method and related equipment, and the system comprises a routing outlet calculation module which is used for receiving a data packet transmitted by a network sender through a routing inlet and determining a routing outlet buffer area to which the data packet needs to be forwarded; the virtual channel buffer area distribution module is used for distributing a serial number of an idle virtual channel buffer area for the data packet; the virtual channel buffer area module comprises a plurality of virtual channel buffer areas corresponding to different route outlet buffer areas, and is used for caching the data packets by utilizing the corresponding virtual channel buffer areas according to the distributed serial numbers and recording pointer information of the data packets through a linked list; sending the data packet to the route exit buffer area when the route exit buffer area prepares data forwarding; and the credit release module is used for releasing the credit information to the network sender to control the maximum number of the data packets sent by the network sender. The utilization rate and throughput of the virtual channel are improved.

The invention relates to the technical field of data monitoring analysis, in particular to a carbon emission data monitoring analysis system and method.The carbon emission data monitoring analysis system comprises a source point extraction module, an on-chain confirmation module, an access frequency sorting module, a block positioning adjustment module and an integration module; and confirming a record on a certificate broadcast verification construction chain, sorting access frequency calculation intensity sorting numbers, positioning and adjusting a link to draw a deployment atlas, and collecting concentration frequency integration fluctuation to establish an archive set. According to the method, a unique compressed tracking code is generated based on time and structure identification, node comparison consistency is written into a linked list, access frequency constructs intensity sorting division areas, paths are adjusted, time sequence fluctuation sections are extracted and classified into sets, a filing structure is formed in combination with labels, and the method is suitable for trend arrangement and continuous calling of carbon emission monitoring. And the data reading efficiency and the retrieval continuity are improved.

The invention relates to the technical field of agricultural microbial monitoring, in particular to a microbial action monitoring and analysis system which comprises a pollution detection module, a distribution recognition module, a state analysis module, a period extraction module and a node traceability module. According to the method, a pollution identification basis is constructed based on a multi-channel conductance deviation trend and a synchronization feature, flora distribution information is established by introducing a feature grouping mode of image texture, gray level and structural density, and consistency judgment is performed by combining direction deviation of three types of response data of conductance, gas release concentration and pH; the continuity and the staged response precision of microbial function state recognition are enhanced, and meanwhile, a linked list structure index path is constructed according to sampling time, position and channel sequence, so that a continuous mapping process can be formed by a front-back sequence and behavior transition relation of a state period; the structure expression capability and the rhythm construction efficiency of the multivariable monitoring data in the microbial action stage analysis are improved.

The invention discloses a power distribution automation control method and device based on virtual bus communication, and relates to the technical field of power distribution automation, and the method comprises the steps: registering a physical communication interface to a drive chain table, and achieving the standardized operation of the physical interface through a drive layer; configuring a physical communication interface as a virtual communication interface, registering the virtual communication interface to a virtual bus linked list, and realizing unified scheduling and data interaction of multiple interfaces through a virtual bus layer; physical communication equipment is configured as virtual communication equipment, the virtual communication equipment is registered to a virtual equipment linked list, and equipment function mapping and protocol adaptation are completed through a virtual equipment layer; registering a physical equipment instance to an equipment instance linked list, and realizing data transceiving and control instruction execution through an equipment instance layer; based on a virtual bus architecture, different communication protocols and transmission modes are dynamically matched so as to communicate heterogeneous equipment. According to the application, diversified field application requirements can be met, and the communication configuration efficiency between the power distribution automation terminal and the external equipment is improved.

The invention provides a data writing performance improvement method for a storage device and the storage device, is applied to the storage device, and relates to the technical field of storage. The method comprises the following steps: receiving to-be-written data, and determining a logic unit address and a target address mapping table of the to-be-written data; if neither the meter reading completion chain table nor the meter reading request chain table contains the target address mapping table, adding a meter reading request node in the meter reading request chain table; after reading of the target address mapping table is completed, the target address mapping table is updated; the method comprises the following steps: establishing a meter reading completion chain table and a meter reading request chain table, adding a node for reading a target address mapping table corresponding to data to be written into the meter reading request chain table, after reading is completed, moving the node into the meter reading completion chain table, and hiding time delay in a meter reading process in a time interval when a storage device receives data from a host, and the time delay of reading and writing the address mapping table in the random writing process is reduced, so that the random writing performance is improved.

The invention relates to a server data caching and accelerating method based on edge computing, which comprises the following steps: firstly, acquiring historical access data, counting the access frequency of each type of data, and storing high-frequency to-be-accessed data to an edge node through a distributed cache; updating the data access frequency in real time, and dynamically adjusting the priority weight of the cache item based on a self-adaptive LRU algorithm; after a data access request is received, detecting whether the data is in a cache by utilizing a hash search algorithm, directly responding if the data is hit, and forwarding the data to a central server through asynchronous I / O if the data is not hit; moving the data to the head of the chain table when the data is accessed, and eliminating the tail data of the chain table when the cache reaches the capacity; preprocessing the access data; and the central server performs big data analysis in combination with Spark and a federated learning framework, stores data through an NoSQL database, and realizes data synchronization through gRPC. The data access efficiency, the cache utilization rate and the data quality are improved, the big data analysis effect is optimized, and the method is suitable for server data caching and acceleration in an edge computing scene.

The invention discloses a data transmission method and device, equipment, a storage medium and a computer program product, and the method comprises the steps that first equipment responds to first system call of an application process, and divides a first data buffer area into a plurality of sections; the first data buffer area is used for buffering first data written by an application process; allocating a first mbuf and a plurality of second mbufs from the first memory pool based on the plurality of sections; the first mbuf is used for storing message header information corresponding to a first message, and the first message represents a message used for transmitting first data; each second mbuf in the plurality of second mbufs is used for indicating one section; linking one first mbuf and a plurality of second mbufs into a first linked list, and mapping the first linked list into a network card, so that the network card sends a first message to the second equipment; the first linked list is used for the network card to read the first data from the first data buffer area and encapsulate the first data into a first message.

The invention discloses an optimization method and device for an embedded linked list container, electronic equipment and a storage medium, and relates to the technical field of computers, the method comprises the steps that a linked list node is embedded into a host data structure to serve as a member variable, extra memory occupation of a pointer domain in a traditional linked list is omitted, and the optimization efficiency is improved. Physical storage of the nodes and the host data structure is continuous, so that cache missing can be reduced; meanwhile, the stability of the linked list under high concurrency is guaranteed through atomized insertion and deletion operations, and a traditional independent node structure and a non-atomized operation are not adopted; the technical problems that in the prior art, a traditional linked list node pointer domain occupies an extra memory, so that expenditure is increased, discontinuous node physical distribution causes cache missing, access delay is increased, and system abnormal safety and operation reliability are affected by iterator failure under high concurrency can be solved. And the technical effects of reducing the memory overhead, reducing the access delay and improving the abnormal safety and the operation reliability of the system are achieved.

The invention relates to the field of port energy management, and provides a bulk cargo wharf production operation process-based energy consumption prediction method and system, and the method comprises the steps: obtaining a cargo attribute information set and an equipment parameter set, and constructing a linkage database through context fusion, time sequence storage and data cleaning; based on a cargo attribute information set splitting process, performing verification and collaborative division in combination with an equipment archive and an operation emergency degree coefficient, and performing risk assessment according to theoretical and actual parking duration to generate a link list; according to the link list and the real-time working condition, a candidate device set or a compensation scheme is output in combination with the mapping table, a collaborative operation trigger signal is generated, and a device allocation list is generated through resource allocation when a collaborative scheme is started; constructing an initial energy consumption prediction model, and carrying out online iterative optimization; and calculating each operation link and a final energy consumption prediction result, and generating a final energy consumption prediction report. According to the method, dynamic planning of a collaborative operation process and adaptive prediction of energy consumption are realized, and the method is suitable for port smart energy management and automatic scheduling.

The invention relates to the technical field of image contour extraction, and provides an image edge contour extraction method and device, electronic equipment and a storage medium. Edge detection and region division are carried out on a target image to obtain a region matrix, scanning and contour point screening are carried out on each sub-region to obtain a contour point coordinate chain table of each sub-region, and single-region adjacent point screening is carried out on contour points of each sub-region in combination with a first distance threshold to obtain an initial contour track chain table set; performing cross-region contour fitting point extraction in combination with the boundary of each sub-region to obtain a to-be-verified point data set, and performing cross-region adjacent point screening on the to-be-verified point data set according to a second distance threshold and the region arrangement data to obtain a fitting point combination set, and carrying out cross-region merging on the initial contour track chain table set to obtain an edge contour track chain table set. Through multi-core parallel scanning, multi-distance screening and cross-block fitting technologies, the precision and efficiency of image edge contour extraction are improved.

The invention relates to the field of data management, and provides an equipment label information hierarchical storage method and device based on a prefix tree structure, the method comprises the following steps: caching equipment label information into a memory in the prefix tree structure, the prefix tree structure being a data structure combining a prefix tree and a linked list, each cached node holds a pointer pointing to a child node storage space on a disk; when the amount of data cached in the memory reaches a preset threshold value, newly adding or modifying the equipment label information cached in the prefix tree into a physical log file; after the newly-added or modified operation is completely written into the physical log file, the equipment label information in the memory is stored in the prefix tree file, and the prefix tree file is stored on a disk by adopting a structure of fusing a prefix tree with a B + tree. According to the invention, the problem of overlarge memory consumption of a full-memory storage scheme in the prior art is solved, and the memory occupation is obviously reduced.

According to the shared cache distribution system provided by the invention, the information unit is arranged, all idle cache units are uniformly included into a global idle linked list through the linked list pointer in the information unit, all ports share the same idle linked list, and the cache management unit is responsible for distribution and cache management, so that the cache management efficiency is improved. Compared with the prior art that each memory needs to maintain the own idle unit pool, the cross-memory allocation needs complex coordination, and the memory allocation efficiency is greatly improved as compared with the prior art that each memory needs to maintain the own idle unit pool. The key defects that management logic is dispersed, resource coordination is complex and logic resource consumption is large in a traditional shared cache architecture are directly overcome, the technical effects of remarkably reducing logic resource consumption and greatly improving the shared cache utilization rate and distribution management efficiency are achieved, and the shared cache architecture is made to better meet the requirements of a high-speed exchange chip for performance, efficiency and cost.

The invention discloses a mapping table reconstruction method and storage equipment. The method comprises the following steps: determining a final check point in a storage medium; determining a target mapping table needing data recovery based on the final check point; sequentially reading metadata of each data block in the storage medium according to the last check point, wherein the metadata comprises a logic address of currently written data and a historical physical address corresponding to the logic address when the logic address is written last time; determining a target block matched with the target mapping table in the data block according to the logic address; constructing a data writing linked list of the logic address according to the historical physical address of the target block; and reconstructing the target mapping table according to the data write-in linked list. According to the invention, the reconstruction efficiency of the mapping table can be improved while accurate reconstruction of the mapping table is ensured.

The invention discloses a network communication method and device, a medium and a program product, and relates to the technical field of network communication, and the method comprises the steps: creating a single-necklace chain table corresponding to a request according to a plurality of received work requests of an upper-layer application, and writing node information corresponding to a head node in the chain table into a network card register, and if the network card detects the change of the network card register, the work requests in the one-way linked list can be sequentially processed according to the node information, the corresponding completion event is created, and then the completion event can be fed back to the upper-layer application according to the current network flow state. Thus, a plurality of work requests of the upper layer application can be submitted to the work queue together, only one register writing operation is needed, the number of times of conversion between a kernel mode and a user mode is reduced, and the efficiency of the local network card is optimized.

The invention relates to the technical field of waste paper detection, in particular to an AI-based waste paper whole-process detection method and system, which comprises the following steps: collecting image side line extension angle statistics color matching identification, coding direction sequence comparison identification offset, positioning an infrared adjustment frequency generation instruction, and correlating serial number contrast data to generate a linked list. And extracting a difference value to judge that the overrun output is abnormal. According to the method, in image processing, abnormal paper parcels are compositely recognized through sideline interruption, break angle errors and color strip density, a multi-dimensional judgment mechanism is constructed in combination with source codes, in path tracking, a direction sequence is adopted to recognize an offset trend, infrared monitoring frequency is dynamically adjusted, and a high-risk area is focused; in the detection link, quality and moisture data are connected in series through paper package numbers, a time sequence contrast linked list is constructed, and potential deviations are screened by fusing difference floating and trend cross validation, so that anomaly identification precision, monitoring response rapidness and data tracking closed loop are realized.

The invention relates to the technical field of fusion terminals, and particularly provides a fusion terminal data reporting missing rereporting method and system and a medium, and the method comprises the steps: through a reporting task initialization mechanism, when a fusion terminal is started or a task scheme and a table file change, emptying historical data and carrying out initialization again; adopting an acquisition scheme matching strategy based on the matching degree and the interrogation interval to accurately select a target acquisition scheme; in combination with a two-stage compensation mechanism of self-compensation and failure linked list compensation, compensation is scheduled according to protocol timeout in the self-compensation stage, and periodic compensation, forced compensation and redundant data cleaning are executed in the failure linked list stage. Through the above steps, the integrity and reliability of data reporting of the fusion terminal are effectively improved, and the accuracy of collection success rate statistics of the master station is guaranteed.

The invention relates to a low-voltage distribution line comprehensive intelligent protection method based on multi-parameter linkage, and the method comprises the following steps: collecting power distribution abnormal data, calculating a trigger interval, screening segments in a period, generating a sequential segment group, analyzing a serial number difference value to form a continuous path, recognizing rhythm abnormality, and eliminating interference flow. And a time fault is checked to construct a closed chain table, a rhythm stable closed loop structure is screened, and an intelligent protection result is output. According to the method, continuous fragments are constructed based on trigger rhythms and event numbers in abnormal data processing, path continuity is judged through difference values, effective flow directions are recognized, disturbance fragments are eliminated in combination with rhythm comparison, stable closed paths are constructed, and sequences with consistent rhythms and continuous numbers are screened to serve as a judgment basis. Accurate description of an abnormal propagation path and effective tracking of a response rhythm are realized, and identification sensitivity and protection strategy adaptability of a distribution line under multi-source interference are enhanced.

The invention discloses a Direct3D12 sampler addressing mode compatible method based on double buffer preprocessing, which comprises the following steps of: establishing a preprocessing parameter cache pool, a first association table, a second association table and a resource management linked list in a system initialization and starting stage, and registering a Vulkan expansion structure body for expanding a texture coordinate range and marking MSAA sampling point offset; when the textures are created, the VKD3D judges whether the textures are MIRROONCE related textures or not, allocates resource marks to the related textures, sets dependency marks, allocates double buffers and expands a coordinate range, and executes standard conversion if the textures are not related; when a sampler is created, marking an analog sampler, constructing and configuring a Vulkan sampler structural body, and updating an association table and a resource management linked list; when a pipeline is created, the D3D12 shader is converted into SPIR-V to update the second association table; and when the recording command list is applied, generating a command buffer, and submitting the command buffer to complete rendering.