244 results about "Data splitting" patented technology

The invention discloses an intelligent interaction system based on a large language model and a knowledge graph, and relates to the technical field of artificial intelligence and intelligent interaction. According to the system, data processed by a data acquisition and preprocessing module is stored in a local knowledge warehouse in a three-layer nested structure; the multi-modal semantic understanding module constructs a knowledge system in which a triple knowledge graph and a vector database are complementary by optimizing a BERT model and performing dual-channel analysis; the intelligent interaction module realizes natural language interaction and business task automatic triggering based on an RAG technology and a dialogue memory mechanism; the information change identification and analysis module generates a personnel change risk report and performs early warning; and the summary report automatic generation module outputs a structured report. According to the method, the problems of data splitting, complex interaction and slow response in traditional enterprise management are solved, the functions of system intelligent question answering, personnel change risk analysis, structured report automatic generation and the like are realized, and the management efficiency and the information consistency are improved.

The invention provides a hydropower station AI supervision system and method based on a multi-modal large model, and relates to the technical field of intelligent hydropower. The system comprises a multi-modal data acquisition module, a cross-modal space-time alignment module, a multi-modal feature extraction module, a multi-modal large model processing module and an intelligent reasoning and decision module. A neural differential equation model is introduced to carry out space-time alignment on asynchronous sensing data, networks such as Vision Transformer, MelCNN, TCN and the like are utilized to extract multi-modal features, cross-modal fusion analysis is realized by combining a local and global attention mechanism and dynamic weight distribution, and equipment abnormality is further reasoned based on a reconstruction error, a mahalanobis distance and a knowledge graph and a maintenance strategy is generated. According to the method, high-precision anomaly detection, fault root cause positioning and dynamic maintenance optimization of key equipment of the hydropower station are realized, diagnosis errors caused by traditional manual inspection and data splitting are avoided, and the operation and maintenance intelligence level and the equipment operation reliability are improved.

The invention discloses a coal mine underground equipment personnel collaborative safety monitoring and risk early warning method, which comprises the following steps: deploying a sensing network, and collecting and processing personnel data and equipment data; evaluating the health state of the equipment based on the equipment data; cleaning the personnel data and then constructing a trajectory model; performing risk coupling analysis based on the three-dimensional risk identification model to obtain a comprehensive risk value; and performing grading response based on the comprehensive risk value and judging whether to perform model optimization or not. The invention further discloses a coal mine underground equipment personnel collaborative safety monitoring and risk early warning system which comprises a sensing layer, the sensing layer is connected with an analysis layer through a network layer, the analysis layer is connected with an execution layer, and the execution layer is connected with the sensing layer. The invention discloses a coal mine underground equipment personnel collaborative safety monitoring and risk early warning method and system, solves the technical bottlenecks of data splitting, response lag and poor environmental adaptability of a traditional monitoring system, and reduces the accident false alarm rate by more than 35% through spatial coupling analysis.

The embodiment of the invention discloses a security deployment method and device for enterprise-level applications and a medium, and relates to the technical field of security deployment, and the method comprises the steps: obtaining application topological graph data generated by a preset visual development platform, so as to split the application topological graph data into an atomized micro-service unit set through a quantization deconstruction engine, generating a micro-service dependency tree; scanning the target deployment environment, extracting an environment feature fingerprint of the target deployment environment, and generating an environment adaptation layer code according to the environment feature fingerprint; injecting an environment adaptation layer code into each atomized micro-service unit to generate an environment perception type micro-service package, and constructing a cross-cloud communication link matrix based on the micro-service dependency tree; and based on the environment-aware micro-service packet and the cross-cloud communication link matrix, executing a deployment verification test in the sandbox environment, generating a deployment verification report, and according to the deployment verification report, distributing the environment-aware micro-service packet to a target deployment environment node.

The invention relates to the technical field of insurance business management, and discloses a multi-level-oriented insurance business index dynamic monitoring and intelligent decision-making system, which comprises a data acquisition module used for acquiring multi-level business data involved in an insurance business process in a multi-source manner, and the multiple levels comprise at least two levels with different management dimensions; and the data processing and standardization module is connected with the data acquisition module and is used for cleaning, converting and standardizing the acquired multi-level business data to generate structured data in a unified format. By constructing a multi-level index system and realizing dynamic monitoring of cross-dimensional business data, and combining intelligent early warning and root cause tracing functions, changes of operating indexes of each level can be linked in real time, so that insurance enterprises can accurately master operating states from high-level management to basic-level business links, quickly identify abnormities and position roots, and the safety of the insurance enterprises is improved. And the limitation of data splitting of each level and each dimension in traditional index monitoring is effectively broken through.

The invention discloses a multi-layer memory management method and device, a storage medium and electronic equipment, and relates to the technical field of memory management, and the method comprises the steps that a prediction frequency set of storage equipment is obtained through prediction by using a reference information set corresponding to the storage equipment, and the storage equipment comprises a first memory and a second memory; the first delay of the first memory is smaller than the second delay of the second memory; determining a plurality of target sub-data contained in the target data of the storage device, and determining predicted access frequencies corresponding to the plurality of target sub-data based on the predicted frequency set; under the condition that the predicted access frequencies corresponding to the multiple pieces of target sub-data meet a preset splitting condition, splitting the target data into multiple pieces of target sub-data; and storing the target sub-data with the predicted access frequency greater than the frequency threshold in the first memory, and storing the target sub-data with the predicted access frequency less than the frequency threshold in the second memory. The technical problem that a memory management method in the related technology is low in resource utilization rate is solved.

The invention relates to the technical field of power equipment fault detection, in particular to a fault detection method for a cable branch box, and aims to solve the problems that a single monitoring means is generally adopted in a traditional method, corrosion of connecting pieces is accelerated by condensation in the box, and the coupling effects such as insulation performance reduction in a high-temperature environment cannot be effectively recognized. Through multi-modal data acquisition, dynamic threshold adjustment and fusion model analysis, coupling analysis of the cable state and the environmental parameters is realized, the problems of data splitting, early warning lag and positioning fuzziness of a traditional method are solved, and the method has the advantages of integrating multi-dimensional monitoring data, dynamically adjusting a fault judgment standard and improving fault positioning precision.

The invention discloses a chemical industry park environmental pollution risk intelligent assessment method and system, and relates to the technical field of environmental risk management, and the method comprises the steps: extracting an association rule of a risk event based on a real-time data stream, coding the association rule into a symbolic logic expression, constructing a mixed neural symbol architecture, and carrying out the construction of a hybrid neural symbol architecture; optimizing the symbolic logic expression and the mixed neural symbolic architecture parameters through joint training, and outputting a preliminary risk level assessment result; according to the real-time data stream, extracting a'risk event-cause-consequence 'triple, generating a risk knowledge graph, and performing graph reasoning in combination with a preliminary risk level assessment result to obtain a risk event causal chain and a diffusion path; according to the method, efficient integration and dynamic optimization of the multi-source heterogeneous data are achieved by constructing the mixed neural symbol architecture, and the problem that space-time relevance is weakened due to data splitting type processing in an existing method is solved.

A method for compiling a computational graph, and a related product. The method comprises: acquiring a computational graph to be compiled that is expressed by a second intermediate representation, performing forward inference of a shape, and on the basis of the forward inference and tensor data splitting information, obtaining complete shape information; using the complete shape information to determine whether the tensor data splitting information needs to be adjusted; on the basis of a determination result, determining the tensor data splitting information that meets requirements; on the basis of the tensor data splitting information that meets the requirements, performing memory access pattern derivation on operators in the computational graph; on the basis of a derived memory access pattern, determining address-domain-related parameters of instructions involved in loops in code logic of the computational graph; performing pipeline scheduling on the instructions in the loops; and on the basis of the address-domain-related parameters of the instructions involved in the loops and a pipeline scheduling result of the instructions, compiling the computational graph, so as to obtain a binary file recognizable by an intelligent processor.

The invention discloses a visual product process production management system, belongs to the field of product production management systems, and solves the problems of low visualization and decision lag of a traditional system by customizing visual symbols, generating a dynamic symbol combination in combination with a graphic rendering engine, converting data into visual graphic symbols and performing real-time early warning on an abnormal state. Equipment, materials, personnel and quality data are comprehensively collected, efficient sharing and storage are achieved through standardized protocol transmission and relying on distributed storage and a Hash algorithm, the problem of module data splitting is solved, resource allocation and production progress control are optimized, an industrial configuration unit is arranged in the system, XML process feature files are analyzed, and the system has the advantages of being high in practicability and easy to popularize and use. The exclusive symbol library and rules are automatically loaded, the problem that a traditional system is poor in adaptability is solved, the method is suitable for multiple fields, and universality and practical value are enhanced.

The invention discloses a binding method and device for business approval, electronic equipment and a storage medium, through the application, a dynamic authorization code containing key information such as an organization to which an approval list belongs, a cause and a type can be generated, and the dynamic authorization code is uniquely bound with the approval list, so that accurate correspondence between an approval item and a specified seal is realized; operation information is synchronously recorded after seal using, a closed-loop auditing track of examination and approval and entity seal using is formed, the barrier of multi-system data splitting is broken through instead of simply depending on simple combination of electronic examination and approval and physical management and control, and therefore the systematic defects of multi-system data splitting, examination and approval and seal using disjunction in an existing seal management technology can be overcome, and the seal management efficiency is improved. The technical effects of realizing accurate association of examination and approval and seal use, opening up each system data link, forming a complete audit closed loop, enhancing the compliance and traceability of seal use, and improving the internal control level of enterprise seal management are achieved.

Systems and methods are disclosed for ensuring the integrity and security of data exchanges between mainframe systems and external channels. The invention includes a Data Distribution Service (DDS) that receives files from various channels and a Network Data Mover (NDM) that routes these files to a Gatekeeper Landing Zone (GK LZ) based on real-time server health and availability. A File Manager module detects new files, performs sanitization, converts files from EBCDIC to ASCII, and updates the Gatekeeper Control Database (GKC DB). The Validation module ensures data compliance, checks for duplicates, and logs exceptions. A Transaction Manager Resource Adapter (TMRA) splits data into transactions, identifies optimal processing paths, and converts data back to EBCDIC for transactions. The Reconciliation module verifies data accuracy and logs details, while the Backout module reverses transactions if discrepancies are found.

The invention discloses a gene line design system based on a four-library separation data structure, and the system comprises an element library which is used for storing the standardized description information of reusable biological elements; the regulation and control relationship type library is used for defining regulation and control relationship types among the biological elements; the regulation and control case library is used for storing regulation and control logic cases; and the line topology library is used for managing the topological relation between the gene line and the components thereof and the regulation and control logic. Wherein the element library, the regulation and control relationship type library, the regulation and control case library and the line topology library are associated through preset unique identifiers. According to the method, the gene line data are split into four libraries which are completely logically and physically separated, so that file lightweighting, highly readable results, easy maintenance and convenient reuse are realized, cross-file accurate reference is supported, and data consistency is improved.

The invention provides a virtual collusion tactical intention analysis method and device, equipment and a storage medium, and the method comprises the steps: obtaining multi-modal battlefield intelligence, carrying out the feature alignment and fusion of information data of different modals through employing a cross-modal attention mechanism, mapping heterogeneous data to a unified semantic space, obtaining a unified feature vector of each combat entity, and carrying out the analysis of the virtual collusion tactical intention. Therefore, the problem of multi-source heterogeneous data splitting is solved. A dynamic battlefield map is constructed based on unified feature vectors, combat units and key facilities serve as nodes, tactical interaction relations serve as edges, the weights of the edges are dynamically calculated by a map attention mechanism according to node features, and self-adaptive modeling of the tactical cooperation relations between combat entities is achieved. And finally, inputting the dynamic battlefield map into a multilayer map attention network for message passing and feature aggregation to obtain node high-order representation fused with global associated information, performing classification prediction on enemy tactical intentions based on the high-order representation, generating tactical intention probability distribution, and realizing adaptive intention reasoning.

User equipment includes a transceiver configured to transmit and receive signals over an air interface, a memory configured to store executable instructions, a processor configured to execute instructions stored in the memory. The processor executes the instructions to measure characteristics of uplink channels of the air interface at a first physical (PHY) layer and a second PHY layer. The processor also executes instructions to selectively route data from a packet data convergence protocol (PDCP) layer to one or more of a first radio link control (RLC) layer associated with the first PHY layer and a second RLC layer associated with the second PHY layer based upon the characteristics of the uplink channels.

The application provides a data splitting method, a data splitting system, a storage medium and a program product. It relates to the technical field of data processing. The method is applied to a data splitting system, the system comprising at least one collecting institution connected with a data splitting mechanism and a data generation end. The method comprises the following steps: the collecting institution obtains order data lists of each data generation end and total payment data, and transfers the total payment data to a regulatory contract account of the data generation end, generates a splitting reference file corresponding to the order data list, and sends the splitting reference file to the corresponding data generation end; the data generation end sends a comprehensive reference file to the data splitting mechanism; and the data splitting mechanism splits data of the regulatory contract account. According to the method, an additional separate data splitting mechanism is arranged to uniformly split data of a plurality of collecting institutions connected with the data generation end, so that the data splitting efficiency of the collecting institution is improved.

The application discloses a page display method and device, a storage medium, equipment and a program product, which are applied to a client, the client is in communication connection with a server, and the method comprises the following steps: sending an access request for a target page to the server, and receiving page public data of the target page returned by the server; loading the page public data, and synchronously judging whether the client has access authority of a gray version page to obtain an access authority judgment result; loading default page difference data or gray page difference data according to the access authority judgment result; and rendering and displaying a default version page or a gray version page according to the loaded page public data, the loaded gray page difference data or the loaded default page difference data. In this way, the page loading data is split into public data and difference data, the page public data loading and the gray access authority judgment are synchronously performed, and the time consumption from the request to the display of the page is effectively shortened.

This application relates to the technical field of data processing, and discloses a chip computing power scheduling method, system, and storage medium for an offline algorithm body. The method obtains the main body of data to be computed and available computing power. A first algorithm calculates the total data processing volume, and a second algorithm calculates the data processing time based on the available computing power. If the total processing volume exceeds a reference total volume or the processing time exceeds a reference time, a data splitting processing instruction is generated. In response to the instruction, a schedulable chip is obtained, and its combined computing power is calculated. The data is split into two parts according to the available computing power and the combined computing power, and processed separately to obtain two outputs. The correspondence between the two outputs is verified; if successful, they are merged into the main output, and the schedulable chip is released. This application enables flexible scheduling of chip computing power in offline scenarios, improves data processing efficiency, and ensures the accuracy of processing results.

This invention discloses a blockchain-based method for medical data privacy protection and authorized sharing, relating to the field of medical data technology. This invention achieves medical data privacy protection and compliant sharing through a four-step closed-loop process. The first step is data splitting and encryption: the original data from the target hospital is split into cell units according to the smallest clinical semantic unit, independently encrypted using the SM4 algorithm, and then differentiated enhancement processing is implemented according to sensitivity to build a strong privacy defense. The second step is storage and evidence preservation: the encrypted units are distributed and stored in fragments, and the fragment hash value, semantic tag, and storage index are uploaded to the shared chain for evidence preservation, simultaneously building a cross-chain gateway and protocol to break down sharing barriers. The third step is authorization and verification: a four-dimensional intelligent authorization model is built to verify requests and generate a temporary key bound to this authorization, achieving precise authorization. The fourth step is usage control: the user decrypts and reassembles the data in a TEE adapted to the cryptographic algorithm, with real-time monitoring of the entire operation and synchronization to both chains, ensuring end-to-end security, controllability, and traceability.

This invention provides a method and apparatus for splitting single-cell mixed sample sequencing data, relating to the field of biotechnology. The splitting method includes: capturing and sequencing single-cell suspensions using a single-cell platform; then performing reference genome alignment, cell identification, and gene expression level quantification on the sequencing data using Cellranger; splitting the cell data identified in step a into two groups of cell data for different sexes based on SNP locus information from the 1000 Genomes Project; and distinguishing the two groups of cell data from male or female samples based on the proportion of sex-specific genes expressed in the two groups of cell data. This splitting method eliminates the need for additional experimental operations such as protein labeling and genome sequencing, and can provide accurate and reliable data splitting even when individual SNP information is unavailable.

The invention discloses a digital environment infrastructure system and method, and relates to the technical field of the Internet, and the system comprises a demand management module which is connected with a target user terminal, and is used for generating a demand list; the supply management module is used for collecting supply information of suppliers in real time and determining the supply state of each supplier; the supply and demand decision module is used for generating and executing an optimal solution based on the demand list and the supply information of the target supplier; the data management module is used for cleaning data and converting the cleaned data into data assets by using a block chain technology, wherein the data is data acquired and generated by each module; and the digital environment intelligent support management module is used for managing the operation state of each module in the implementation process. The invention aims to solve the problems that data splitting and data collaboration are difficult and cross-platform data element circulation and capitalization are difficult to realize due to the fact that an existing digital scheme mostly focuses on a single link or a specific scene.

The invention discloses a supply chain full-process traceability tracking method based on a block chain, and relates to the technical field of block chain and supply chain traceability, and the method comprises the specific steps: collecting supply chain node identity qualification basic information, and carrying out the structural processing; generating a unique initial dynamic chain code by using an encryption algorithm, and storing the unique initial dynamic chain code in a main chain after binding the unique initial dynamic chain code with qualification information hash; integrating the collected data into traceability data and checking node identities and chain codes; after the verification is passed, the traceability data is bound with a chain code for the second time, and a timestamp is added for chaining; updating the chain code according to the service state, adding an identifier to the old chain code and permanently storing the identifier; according to the invention, a rigorous node identity authentication system is constructed, so that the credibility of a traceability subject is guaranteed, and identity and qualification data can be traced and verified in the whole process; multiple terminals collect data cooperatively, completeness and timeliness are ensured through multiple associations, chain code dynamic update adapts to service changes, and data association continuity is ensured; the whole-process mechanism effectively solves the problem of traditional traceability data splitting.

The application relates to a training data generation method and device, computer equipment and a storage medium. The application relates to the technical field of information security and artificial intelligence. The method comprises the following steps: acquiring an initial business data set; performing supplementary processing on each initial business data according to a preset supplementary strategy, and performing data cleaning processing on the initial business data after the supplementary processing to obtain each business data; performing clustering processing on each business data to obtain each business data group, and screening, from each business data group, a business data group meeting a preset clustering condition as an initial target training group; extracting a plurality of business data from each initial target training group as initial target training data, and performing data splitting and reorganization processing on each initial target training data to obtain each target training data, wherein the target training data is used for training an artificial intelligence model. The method can reduce attack data in generated business data.

The invention discloses an indoor and outdoor integrated navigation path planning method and system for parking space level positioning, and relates to the related technical field of navigation path planning, and the method comprises the steps: obtaining multi-source positioning data of a user terminal; carrying out integrated fusion processing, and constructing an indoor and outdoor map topological relation; target parking space state information is introduced to serve as a terminal point, the real-time three-dimensional position serves as a starting point for navigation, and a plurality of cross-domain navigation initial paths are generated; and updating the plurality of cross-domain navigation initial paths, generating a plurality of cross-domain navigation paths for indoor and outdoor inversion verification, performing path correction according to a verification result, and determining a target cross-domain navigation path. The technical problems of poor navigation result reliability and poor user experience caused by indoor and outdoor positioning data splitting, discontinuous cross-domain navigation and insufficient parking space level path planning precision in the prior art are solved, and the purposes of high-precision seamless navigation, dynamic path optimization, parking space level accurate guidance, high-precision positioning and the like are achieved. The reliability of a navigation result and the user experience are improved.

The embodiment of the invention provides a complex stratum karst cave volume calculation method and related equipment, and belongs to the technical field of geological survey. The method comprises the following steps: acquiring a geological profile map and a borehole histogram; performing information extraction on the drilling histogram to obtain drilling information of each drilling point location; performing structured processing according to the drilling information of all the drilling points to obtain an original stratum distribution table; performing elevation supplementation on the original formation distribution table according to the geological profile map to obtain a standard formation distribution table; based on the standard stratum distribution table, performing data splitting by taking each stratum as a derivation unit to obtain a plurality of stratum derivation tables; performing three-dimensional model reconstruction according to each stratum derivation table to obtain a stratum interface entity model of each stratum; performing target detection on all the stratum interface entity models according to a preset karst cave label to obtain a target karst cave model; and performing area attribute analysis on the target karst cave model to obtain the target karst cave volume, thereby improving the accuracy of karst cave volume calculation.

The present disclosure relates to a method for judging invalid work diagram based on point data, comprising: calling work diagram data, splitting into upstroke and downstroke displacement load data set, determining whether there is load stagger, if there is, judging as invalid work diagram and ending the judgment process, otherwise, continuing to calculate whether there is displacement reversal, if there is, judging as invalid work diagram and ending the judgment process, otherwise, continuing to combine with static data of pumping unit well, determining whether there is load anomaly, if there is, judging as invalid work diagram and ending the judgment process, otherwise, continuing to calculate whether there is stroke anomaly, if there is, judging as invalid work diagram, otherwise, as qualified work diagram, ending the judgment process; the present disclosure analyzes abnormal data characteristics of work diagram shape, load, stroke and stroke frequency, calculates abnormal characteristics by using work diagram coordinate data vector, so as to realize automatic identification, diagnosis and push of various abnormal invalid work diagrams, thereby replacing manual analysis and judgment of invalid work diagram work and improving work efficiency.

The application discloses an emotion detection method and device, a terminal equipment and a readable storage medium, the method comprises the following steps: acquiring audio data, and converting the audio data into initial text data; splitting the initial text data into first text data and second text data, and adding bag labeling to the first text data; inputting the second text data into a preset language correction model to obtain third text data; inputting the third text data into an emotion detection model to detect emotion parameters corresponding to the third text data; based on the fact that the sample information collected by the bank outlets is inaccurate due to noise and noise, and single-sentence-level corpus labeling is difficult, the language model based on BERT is used to intelligently correct the corpus, the influence of noise data on the detection result is reduced, the mapping relationship from a paragraph to a single sentence is constructed through the emotion detection model, and finally the accuracy of the emotion detection of the bank outlets is improved.

The invention relates to the technical field of data protection, in particular to a data protection processing system for test detection information sharing, and the system comprises the steps: receiving to-be-encrypted data through an acquisition module; the salt value construction module constructs a salt value based on the data frequency set and an SHA-3 algorithm; the key generation and encryption module obtains a key from the dynamic key pool, generates a scene key and encrypts data; the data splitting module splits the encrypted data into fragments and constructs a hash chain for distributed storage; the evaluation optimization module periodically analyzes a request time interval baseline, judges risks and dynamically adjusts system parameters; and the scheduling module coordinates the operation of each module according to the optimization instruction. According to the data protection processing system for test detection information sharing provided by the invention, through cooperative work of all the modules, full-process protection of test detection information sharing is realized, and meanwhile, security and high efficiency in a data sharing process are ensured based on a real-time risk dynamic adjustment protection strategy mode; and the requirement of high confidentiality of test detection information is met.

The application discloses a patch file splitting method based on BSDiff. A BSDiff algorithm is used to generate an uncompressed overall patch data according to a new file and an old file. A virtual equal division value is determined according to the available storage space of a device applying the patch file. The uncompressed overall patch data is split into multiple patch data blocks; the splitting is based on the fact that each patch data block can obtain a virtual equal division data block of the new file. One patch data block is received each time, and after decompression, a virtual equal division data block of the new file is generated according to the old file and the current patch data block, and is directly written into the storage area of the new file. The application reduces the consumption of network data and storage space in the differential upgrade process.

The invention discloses a social governance event management method based on multi-source data fusion, and relates to the technical field of social governance and public services. The four modules are respectively a multi-source heterogeneous data fusion and feature standardization module, an event intelligent assignment decision engine module, a repeated event identification and combination strategy module and a whole-process closed-loop management and treatment efficiency quantitative evaluation module, and the multi-source heterogeneous data fusion and feature standardization module comprises feature extraction and feature fusion. According to the social governance event management method based on multi-source data fusion, a heterogeneous event feature vector fusion method based on deep learning is adopted, specifically, a text is vectorized through BERT / Word2Vec, and multi-source heterogeneous data is fused into a unified event feature vector in combination with a weighted summation method, so that information islands formed by multi-source data splitting are avoided, and the social governance event management efficiency is improved. And the integration of the social governance event management data is improved.