283 results about "Intelligent verification" patented technology

The invention relates to the technical field of material verification management, and discloses a government affair material intelligent verification method and system based on machine learning, and the method comprises the steps: obtaining the text information data and verification rules of historical materials; multi-modal feature extraction is carried out; establishing a dynamic verification rule knowledge graph, and verifying the multi-modal features and the target feature points of the text segments to generate a primary verification strategy; performing deep verification processing on the material text fragment to generate a secondary verification strategy; performing third-time verification on the material text fragment subjected to the second-time verification by triggering cross-page feature matching to realize cross-page text fragment association and multi-modal feature fitting so as to generate a third-time verification strategy; performing iterative comparison on the results of the three rounds of verification to generate a credibility score; and the comparison result is adjusted according to the credibility score in combination with the verification risk abnormity assessment, so that a final verification decision strategy can be obtained, and efficient, accurate, dynamic and comprehensive intelligent verification can be realized.

The invention relates to the technical field of operation and maintenance control, can be applied to business scenes of financial science and technology, medical health and the like, and discloses an intelligent equipment configuration changing method and device, equipment and a medium. Generating a preliminary equipment configuration instruction sequence based on the change intention information; rechecking the configuration instruction through the intelligent checking component, and generating a rechecked configuration instruction sequence; sending the rechecked configuration instruction to the target equipment and executing the rechecked configuration instruction; and verifying whether the equipment state meets the expectation, and if not, executing a rollback operation. Configuration accuracy is ensured through knowledge representation, configuration errors are automatically detected and corrected through intelligent verification, configuration efficiency and safety are improved through automatic issuing and state verification, abnormity is quickly recovered through automatic rollback, and reliability and stability of configuration change are improved.

The embodiment of the invention provides a method and system for automatically generating a document based on a template and a large model, and relates to the technical field of document generation, the method comprises the following steps: step S1, a user inputs information through a browser interface and uploads a to-be-reviewed file; step S2, analyzing the uploaded multi-modal file and extracting structured data; s3, outputting a standardized template instance file according to the decision tree dynamic combination template; s4, calling a large model to generate a project background and a file content abstract; s5, the generated content is rendered and combined with the attachment to form a complete conference review file; s6, executing cross-document consistency intelligent verification and executing intelligent error correction; and S7, generating and storing a final document with version traceability information. According to the method, on the basis of the document template and the large model capacity, document formats are unified, content is accurately generated, and the document writing efficiency is remarkably improved.

The invention discloses an intelligent processing method and system for judicial batch filing, and the method specifically comprises the steps: carrying out the cross verification of an original case element through a cross-modal information complementation mechanism, and generating a first case element; constructing a case similarity matrix according to the first case elements, calculating a fact relevance weight between cases by adopting an improved BERT-Siamese network based on the case similarity matrix, synchronously identifying jurisdiction competition and proof conflicts through a legal program conflict detection algorithm, and generating a dynamic grouping scheme; matching a classification document template library according to the dynamic grouping scheme, and calling a Transform-XL enhanced generation model to generate legal documents in batches; and performing full-process intelligent verification on batches of legal instruments through the association map, and detecting material integrity, logic consistency and legal compliance. According to the method, intelligence, high efficiency and precision of judicial batch filing are realized, and the case processing efficiency and the document generation quality are improved.

The invention relates to the technical field of block chains, and discloses a block chain and privacy computing collaborative verification system, which comprises a data fragmentation module, a privacy fusion module, a collaborative verification module, a consensus correction module and a fragmentation graph optimization module. The data fragmentation module constructs a multi-stage data collaborative topology through a preprocessing node and a dynamic fragmentation protocol; the privacy fusion module realizes privacy protection by using a ciphertext analysis unit to switch links in a multi-state manner and a zero-knowledge verification unit; a collaborative verification module generates a reference verification strategy through a consensus modeling node multi-dimensional fusion model, and a state optimization unit dynamically aggregates and sorts fragmentation states; the consensus correction module corrects the fragmentation state through an isolation verification unit and a delay compensation unit and calibrates ciphertext parameters; and the fragment atlas optimization module constructs a stability evaluation network monitoring synchronization rate and performs closed-loop adjustment on a verification strategy. The system realizes dynamic fragmentation, privacy fusion and intelligent verification, and improves the efficiency, security and stability of block chain data processing.

The invention discloses a medical inquiry logic chain generation and verification method and system based on a large language model, and relates to the technical field of artificial intelligence, the method comprises the following steps: S1, generating a logic chain framework, constructing a medical inquiry logic chain generation model, and embedding a structured logic template and professional knowledge constraints by taking the large language model as a core engine; s2, designing a two-dimensional multi-level verification framework, and performing automatic verification on the consistency and medical rationality of the generated corpus logic chain; and S3, designing an evaluation index system and a dynamic optimization strategy, carrying out grading marking on the problem corpus identified in verification, carrying out corresponding correction, feeding back a correction result to a model training link, and optimizing a logic chain generation rule. Through an NLP technology, a language model generation mechanism, medical knowledge structure analysis and an intelligent verification algorithm, the quality and the structuring degree of a medical inquiry data set and the application value of the medical inquiry data set in an intelligent inquiry system are improved, and high-quality and controllable professional corpus support is provided.

The invention relates to the technical field of supply chain management, in particular to a part supply chain full-process digital collaborative management system and method, and the method comprises the steps: evaluating supplier data through constructing a dynamic scoring model, and obtaining a supplier score; when the supplier score is lower than a predetermined threshold value, generating a multi-source purchase plan, and dynamically adjusting purchase distribution according to the supplier score; constructing a warehouse-in and warehouse-out part intelligent verification model to analyze warehouse-in and warehouse-out parts, generating an acceptance report and block chain record association, and triggering an alarm and freezing an order when a difference is found; a supply chain risk topological graph is constructed through the supplier fulfillment rate, the logistics data and the market demand fluctuation, and high-risk nodes are identified and early warned in real time; initiating emergency purchase to suppliers with high supplier scores based on high-risk nodes, and optimizing inventory scheduling based on geographic proximity; the inventory level is optimized in real time based on the production line state and the in-transit logistics data, and the safe inventory threshold is dynamically adjusted to cope with supply chain interruption.

The invention discloses an intelligent form filling method based on voice interaction. A form filling system is composed of an intention recognition module, an entity recognition module, a data mapping module, an intelligent error correction module and a dialogue management module. According to the system, the traditional manual form filling operation is replaced by a voice input mode, the complexity and time cost of user input are greatly reduced, and the recognition precision of terminologies is remarkably improved by utilizing a voice recognition and natural language processing model optimized for the financial field, so that the user experience is improved. Specific fields of the form can be accurately recognized according to intention recognition and data mapping functions customized for a specific scene of financial reimbursement, the system is designed based on a multi-round dialogue management module, a user is actively guided to complete complex form filling step by step, the learning cost and the operation difficulty are remarkably reduced, and the user experience is improved. Full-process automation of voice recognition, data mapping and intelligent verification is realized, and manual intervention is reduced.

The invention discloses an integrated power supply test method and system integrating fault prediction, and relates to the technical field of power supply test. A comprehensive power supply test system integrating fault prediction comprises a test parameter acquisition module, a reference state updating module, a data fusion module, a fault prediction module and a retest recording module. According to the method, the first prediction channel and the second prediction channel are arranged, and the model path is flexibly selected in combination with the initial anomaly judgment result, so that the prediction accuracy is improved while the prediction efficiency is ensured, and operation requirements in different complexity scenes are met; by setting a circulation analysis mechanism and a dynamic circulation limit value and based on weight increasing operation of a maximum influence data item, intelligent verification and self-adaptive adjustment of model result consistency are realized, and the stability and robustness of a fault judgment process are enhanced.

The invention provides a BIM technology and project amount intelligent verification method and system, and the method comprises the steps: carrying out the word segmentation and part-of-speech tagging of a progress log, extracting an excavation region, a completion amount and a timestamp of the day, and obtaining a construction progress information set; according to the construction progress information set, identifying a semantic relationship of an excavation area, a completion volume and a time triple, and determining time-space semantic representation; extracting geometric information of each target earthwork logic body from the set of earthwork logic bodies, and calculating a design engineering quantity of each associated logic body in a corresponding preset elevation range in real time in combination with corresponding elevation data extracted from the BIM model to generate a design quantity data set; and according to the early warning result, updating the state attribute of the earthwork logic body in the BIM model, generating a dynamically updated BIM model state in combination with the deviation occurrence timestamp and the difference value, extracting the spatial distribution of the earthwork logic body in the BIM model, and generating a construction path.

The invention discloses a secure data transmission method in a cloud platform salary management system, which belongs to the technical field of cloud platform data transmission, and comprises the following steps: acquiring user post attributes and authority levels to generate a post authority matrix, and generating a segmentation encryption rule to dynamically segment salary data to generate an encrypted data segment group; generating an environment security score based on the characteristics of the current network transmission path, and verifying the environment security score with the encrypted data segment group; after data transmission is completed, implanting a two-dimensional verification watermark into the encrypted data segment group to generate a controlled data packet; and generating a protection intensity grade and a gradient response instruction based on the current operation step and the environmental safety score, and executing a dynamic data protection operation. According to the method, the security classified storage, the dynamic encryption transmission and the accurate tracing control of the salary data can be realized by adopting the intelligent verification mechanism based on the dynamic segmentation encryption of the post permission matrix and the environmental security score and the multi-level data control technology of the two-dimensional verification watermark.

According to the automatic software development method and device and the computer program, intelligent demand analysis is achieved through a natural language processing technology, dynamic task arrangement is conducted through a finite state automaton, collaborative development is completed by means of a multi-specialized role agent, intelligent verification is implemented based on a template matching mechanism, and the development efficiency is improved. And a complete automatic closed loop from demand to delivery is constructed. According to the scheme, full-process automation is realized, manual intervention is greatly reduced, and the development efficiency is remarkably improved; through division and cooperation of multiple agents, the professionality and decision-making quality of each link are ensured, and the capability limitation of a single agent is overcome; flexible and reliable process control is provided based on state machine management, and development state changes are dynamically adapted; and the standard consistency of the delivery result is ensured by combining template verification. According to the method, the problems of long development period, large quality fluctuation and the like caused by chain splitting, low intelligent level and excessive dependence on manpower of an existing development tool are effectively solved, and a feasible path is provided for comprehensive intelligence of software development.

The invention belongs to the technical field of resource management, and relates to a cloud computing-based intelligent agricultural resource optimization scheduling system, which comprises a biological signal acquisition module used for acquiring biological signals of crops in a target area; the environment data acquisition module is used for acquiring environment parameters outside crops; the dynamic demand analysis module is used for fusing the biological signals and the environmental parameters, generating dynamic demand indexes and judging whether a resource cooperation request is triggered or not; the block chain scheduling management module is used for receiving the resource cooperation request and calling surplus resources of the target farm to execute operation; the contribution point management module is used for generating verifiable contribution points and dynamically adjusting the exchange weight; and the intelligent verification module is used for comparing the deviation between the chain record and the local sensor data, triggering an automatic verification mechanism and correcting the account book record. The method can solve the problems that the contribution degree of participants lacks a credible quantitative standard, the benefit distribution contradiction inhibits the resource sharing willingness between farms.

The invention discloses an intelligent verification system and method for full-process review based on multi-modal analysis, and belongs to the technical field of intelligent review. Comprising a processing analysis module, an experiment extraction module, a risk early warning module, a reproduction verification module, a chart comparison module, a dispute tracing module, a feedback analysis module, a load monitoring module, a report generation module and a preference analysis module. According to the invention, comprehensive and multi-angle intelligent review can be realized, more detailed risk early warning and positioning information can be generated, the experiment reproducibility can be quickly verified at low cost, the manual verification burden is greatly reduced, the innovation and risk of the thesis viewpoint are scientifically evaluated, the fatigue of a manuscript reviewer is relieved, the manuscript review efficiency and quality are improved, and the method is suitable for popularization and application. And dynamically adjusting the review content recommendation sequence.

The invention provides a data security management method and device based on a large model and a storage medium, relates to the field of data security management, and obtains access request information and identity information of a data requester and performs identity verification and auditing. Specifically, firstly, deep fusion and joint verification are carried out through an intelligent verification module so as to understand and process a complex relationship between an identity and a request intention; then, dynamically generating an NFT which has uniqueness and represents specific data access authority, and sending the NFT to a requester; when a requester subsequently initiates an actual data access operation, the authenticity and validity of the NFT are strictly verified, and all access attempts (whether the access attempts are successful or not) and permission changes are recorded on a non-tampering block chain, so that dynamic, fine and highly-credible data access authorization and full-process tracing are realized.

The invention relates to a cross-network domain security data interaction method and device based on dynamic multi-channel and intelligent verification, computer equipment, a computer readable storage medium and a computer program product, and is applied to an external network domain. The method comprises the following steps: acquiring network state data of each available transmission channel between an internal network and an external network, and determining a transmission priority score of each available transmission channel so as to screen out a main transmission channel and a standby transmission channel; dynamically distributing to-be-transmitted data fragments to the main transmission channel and the standby transmission channel through a reinforcement learning algorithm; transmitting the data fragments distributed to the main transmission channel and the standby transmission channel to an isolation domain; the isolation domain is used for filtering the received data fragments through a hardware filtering engine and sending the filtered data fragments to the internal network domain; the internal network domain is used for verifying the integrity of the data fragments according to the fragment hash values corresponding to the data fragments. By adopting the method, the intelligence of data transmission in the internal and external network interaction process can be improved.

The invention relates to a goods transaction management platform based on a goods counting code and an intelligent verification technology, and the platform comprises a goods counting code generation module, a goods tracking module, an intelligent verification module, a transaction integration module, an intelligent contract module, and an analysis module. The block chain technology is combined to record cargo circulation information, so that full-process tracing is realized; the cargo tracking module collects data such as position and environment in real time through Internet of Things equipment, and provides dynamic monitoring and abnormal early warning for environment-sensitive cargos. The intelligent verification module is combined with the Internet of Things technology to ensure the authenticity of goods information; the transaction integration module supports order management, payment confirmation, refund processing and logistics synchronous sharing; the intelligent contract module automatically executes contract terms based on a block chain technology, so that the transaction efficiency and reliability are improved; and the analysis module carries out risk prediction through a time sequence analysis and anomaly scoring method.

The invention relates to the technical field of power systems, and discloses an automatic checking and correcting system and method for relay protection setting values of a booster station, and the system comprises a configuration analysis module which is used for analyzing an SCD configuration file of a transformer substation, extracting parameters of a protection device, and importing a setting value list to establish a mapping relation table; the data acquisition module is used for acquiring a constant value, a soft pressing plate state and a communication message of the IED equipment in real time through an MMS protocol; and the intelligent verification module is used for executing constant value comparison, pressing plate state verification and communication abnormity responsibility judgment. The invention develops a handheld intelligent inspection system, and solves the three major problems of low efficiency, high error rate and prominent safety risk in the checking operation of the relay protection constant value of the traditional transformer substation. According to the scheme, full-process automation of configuration analysis, data acquisition, intelligent verification, safety correction and report generation is realized, so that the routing inspection of the secondary equipment is upgraded from an extensive mode to a precise operation and maintenance normal form, and a guarantee is provided for safe and stable operation of a power grid.

The invention provides an exhaled gas alcohol content intelligent verification system based on image recognition, relates to the technical field of intelligent detection, and aims to solve the problems that a traditional sensor is prone to environmental interference, needs frequent calibration and is insufficient in dynamic response. Comprising a gas-sensitive developing unit, a multispectral dynamic imaging unit, a data processing unit and a closed-loop control unit, the gas-sensitive color development unit adopts a reversible gas-sensitive film and generates a color change signal through an alcohol specific color development reaction; the multispectral dynamic imaging unit is combined with an ambient light suppression and dynamic region positioning technology to capture spectral reflectivity time sequence data in a color development process; the data processing unit maps the chromaticity characteristic into an alcohol concentration value based on a Gaussian process regression model, and triggers near-infrared auxiliary verification through confidence evaluation; and the closed-loop control unit maintains a constant detection environment through the temperature control and airflow stabilization module. According to the scheme, non-intrusive high-precision detection of the alcohol concentration in a complex environment can be realized.

The invention discloses an intelligent verification method for multi-dimensional scene perception, and the method comprises the steps: obtaining the field service data, edge calculation environment information and network state information of a power supply station, and constructing a multi-dimensional scene feature vector; based on the multi-dimensional scene feature vector, constructing a meta-confidence model by adopting a feature progressive strategy, and based on the meta-confidence model, generating initial confidence, decision suggestions and decision context information of an edge calculation result; a cloud verification result is received, decision context information is combined, a time sequence memory module and an error propagation graph are constructed, and a verification feedback optimization instruction and predictive feedback buffer data are generated; and updating the meta-confidence model based on the verification feedback optimization instruction and the predictive feedback buffer data, and executing a final decision in combination with the initial confidence and the decision suggestion to generate a service execution report. The problem of cold start and the problem of low efficiency of asynchronous verification are solved through a feature progressive structure and a predictive feedback buffer mechanism.

The invention discloses a safety evacuation compliance verification method, device and equipment and a storage medium, and the method comprises the steps: building a station BIM three-dimensional information model based on integrated multi-specialty design data, and the multi-specialty design data comprises design data of buildings, structures and equipment; and intelligently comparing the spatial layout information in the BIM model with a preset specialty standard database and a safety evacuation standard database to verify whether a safety evacuation scheme coordinated by each specialty accords with a standard index or not. According to the invention, intelligent verification of subway station safety evacuation design is realized, the examination efficiency of the design scheme is obviously improved, the design period is shortened, the manual examination cost is reduced, and reliable technical guarantee is provided for subway fire safety.

The invention discloses an intangible cultural heritage traceability system, and relates to the technical field of intangible cultural heritage protection. Comprising an authentication module used for non-abandoned inheritors' qualification auditing and non-abandoned artwork multi-dimensional feature evidence storage, and generating a production certificate containing a block chain traceability code; the traceability comparison module is used for realizing intelligent comparison of artwork images, process parameters and evidence information and three-in-one consistency verification of real objects, certificates and packages on the basis of a large model algorithm; and the sharing feedback module is used for non-perpetual culture sharing and anti-counterfeiting data iterative optimization. According to the non-abandoned artwork traceability system, decentralized evidence storage of non-abandoned inheritors' qualification is realized through a block chain technology, manual auditing and intelligent verification are combined, it is ensured that a'person-art 'relationship cannot be tampered, authoritative and credible identity binding is established from a creation source, and the core problem of lack of production subject authentication in the prior art is solved.

The invention discloses a medical supply chain license intelligent identification authentication and information completion method, and relates to the technical field of image identification and processing, and the method comprises the following steps: S1, carrying out the image enhancement processing of a collected license, and removing the interference information on the license; s2, carrying out license classification by using a deep learning model, automatically identifying license types, and extracting key fields of the licenses; s3, intelligent information completion is carried out on the identified key fields; and S4, storing the identified license information in a database, and carrying out classified management according to the license types. According to the method, the input accuracy can be improved, and intelligent verification and completion can be carried out in combination with industry laws and regulations and the knowledge graph.

The invention discloses a model intelligent verification and parameter correction method, which comprises the following steps of 1, building an unmanned ship task high-value verification point set based on expert experience and a large model collaboratively, screening boundary points and extreme points, and performing simulation-actual measurement data consistency verification; if the normalization error of the simulation data and the actual measurement data exceeds a threshold value, triggering correction; step 2, constructing a sensitive factor set according to global sensitivity analysis and a parameter association relationship mining result, screening high-sensitivity parameters as a priority correction target, and avoiding redundancy optimization; and step 3, optimizing the high-sensitivity parameters, and forming a verification-correction-update closed loop by verifying and iteratively updating the priority of the factors to realize the intelligent correction of the parameters of the unmanned ship model.

The invention provides an integrated intelligent verification system and method for a diesel generator speed regulation system. The system comprises a mechanical speed regulation testboard, an electronic speed regulation testboard and an intelligent verification device. The intelligent verification device comprises an upper computer device and a lower computer device. The upper computer equipment is used for simulating and outputting the working mode of the diesel generator and providing test working parameters for the electronic speed regulator and the mechanical speed regulator based on the working mode of the diesel generator; the lower computer equipment is respectively connected with the upper computer equipment, the electronic speed regulator, the mechanical speed regulation control box and the detection equipment, and is used for correspondingly sending test working parameters to the electronic speed regulator and the mechanical speed regulator, and collecting working state parameters of the electronic speed regulator and working state parameters of the mechanical speed regulator to the upper computer equipment in real time; and the upper computer device displays and analyzes the working state parameters so as to verify the electronic speed regulator and the mechanical speed regulator. According to the invention, off-line test verification can be carried out on the diesel generator speed regulation system.

The invention provides an intelligent object attribute cascade condition verification method and system, and relates to the technical field of communication data processing, and the method comprises the following steps: configuring a basic type verifier annotation, configuring a dependency relationship by using a cascade condition verification mechanism, and detecting pre-acquired to-be-checked data based on a Java reflection mechanism, obtaining a detection result; based on the detection result, constructing a verification rule engine, analyzing the verification annotation through the verification rule engine, and calling corresponding verification logic to perform data verification to obtain a verification result; and according to the result type of the verification result, dynamic feedback is executed according to a preset feedback mode. Through the combined action of the dynamically-adaptive annotation system and the intelligent verification rule engine, the readability and maintainability of codes are remarkably improved, addition of self-defined verification rules is supported, and the requirements of future business development are met.

The memory device includes at least one memory block with a plurality of memory cells arranged in a plurality of word lines. The memory device includes control circuitry that is configured to program the memory cells of the at least one memory block in a plurality of program loops. The control circuitry is further configured to receive a command to write user data to the memory device. On at least a portion of a selected word line of the plurality of word lines, the control circuitry is configured to perform a smart verify operation to acquire a smart verify programming voltage. After the smart verify programming voltage is acquired, in a plurality of program loops, the control circuitry is configured to program the memory cells of the selected word line to include the user data and data that corresponds to the smart verify programming voltage.

The invention provides a high-precision telemetering terminal data acquisition system and method based on multi-source sensor fusion. A high-precision telemetering terminal data acquisition system based on multi-source sensor fusion comprises a multi-source sensor module which is composed of a water level sensor, a flow sensor, a water quality sensor, a meteorological sensor and a vibration sensor, and all the sensors are connected with a main control unit through standardized interfaces; the system comprises a data fusion processing unit, a dynamic priority scheduling module, an edge computing unit, a multi-channel communication module and an anti-interference power management module. The high-precision telemetering terminal data acquisition system and method based on multi-source sensor fusion have the advantages that the centimeter-level precision of hydrological data can be achieved through multi-source dynamic fusion and intelligent verification, the availability of communication is improved, and meanwhile the operation and maintenance cost can be reduced.

The invention discloses a standard information physical examination table intelligent verification method and system based on data automation, and the method comprises the steps: generating standard candidate data of a target field through a data collection step and data standardization processing, and carrying out the screening, and obtaining a standard data set; determining the dependency relationship between the fields of the physical examination table, mapping the standardized data values to the corresponding positions of the fields of the physical examination table through a field mapping function, and generating the physical examination table through data verification and automatic correction; analyzing the relationship between the fields of the physical examination table to predict and generate a filling suggestion value, and generating a filling suggestion list through regularization item correction and verification; inputting the physical examination table data input and modification of the doctor, and generating a final physical examination table draft; and performing consistency verification and medical compliance verification on the final physical examination table draft to generate a formal physical examination table. Through data integration, structured mapping and context reasoning filling, the filling efficiency, data integrity and medical compliance of the physical examination table are improved, and the workload of doctors is relieved.

The invention relates to a simulation method and device for a hydraulic support column descending and support moving dust production migration rule, and belongs to the technical field of coal mine dust control. In order to solve the problems that the prediction error of an existing model exceeds 40%, the migration path deviation exceeds 50%, the side seam adjusting precision of the device is + / -20 mm, and the dust falling efficiency fluctuates by 35%, a multi-factor coupling modeling and intelligent dynamic regulation and control technology is provided. The method comprises the following steps: constructing a dust production prediction model of coal rock hardness, water content, roof pressure bearing and side seam spacing coupling, monitoring dust distribution in real time by adopting a laser scattering sensor and a particle size spectrometer array, designing a high-precision electric push rod to adjust the side seam spacing to + / -0.5 mm, and dynamically correcting an error in combination with Kalman filtering. The device comprises an adjustable support assembly, a triaxial pressure loading module and an intelligent verification system. The dust production prediction error is 9.8%, the migration deviation is 14.6%, the adjusting efficiency is improved by 3.2 times, the dust falling fluctuation is compressed to 7.9%, and the respiratory dust inhibition rate reaches 85.4%.