329 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 data sharing, and particularly discloses an electrical equipment supply chain data security access method and system, and the system can intelligently match table structure information in a power industry database based on natural language input of a user, and generates a corresponding SQL query. By combining a natural language processing technology with a large language model, a user can easily access and query required power industry data under the condition that a complex SQL statement or a database structure does not need to be mastered. According to the method, the efficient query task can be automatically generated, the data access difficulty is greatly reduced, meanwhile, a data field level encryption scheme and a user permission intelligent verification mechanism are designed, and the safety of the data access sharing process is ensured; and the method has good expansibility and can be compatible with power enterprise databases of different scales.

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 relates to an intelligent verification code generation and anti-refreshing method and system and computer equipment. The method comprises the following steps: performing multi-modal generation processing on verification code content to obtain original verification code data; performing multi-dimensional feature extraction on the user interaction behavior to obtain user behavior feature data; inputting the original verification code data and the user behavior feature data into a double attention network for fusion processing to obtain fused feature data; performing dynamic difficulty assessment calculation based on the fused feature data to obtain verification code difficulty adjustment parameters; performing difficulty adjustment on the original verification code data according to the verification code difficulty adjustment parameter to obtain target verification code data; and based on the fused feature data and the target verification code data, performing multi-dimensional anti-refreshing rule analysis, and generating a self-adaptive anti-refreshing rule set. According to the method, the multi-modal data can be comprehensively utilized, the difficulty is dynamically adjusted, and the intelligent verification code of the anti-refreshing rule is adaptively generated.

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.

The invention provides an intelligent verification integrated device for an aluminum alloy rear fork, and the device comprises a workbench, the middle part of the workbench is movably provided with two groups of sliding seats, the two groups of sliding seats are symmetrically arranged front and back, the interiors of the two groups of sliding seats are provided with limiting mechanisms, and the interiors of the upper ends of the two groups of sliding seats are provided with second supporting rods in an inserted manner. Front-and-back correction oil cylinders are arranged at the left end of the upper surface of the workbench, front-and-back correction blocks are arranged at the telescopic ends of the two front-and-back correction oil cylinders correspondingly, first supporting rods are inserted into the upper ends of the two front-and-back correction blocks correspondingly, and up-and-down correction blocks are movably installed in the lower ends of the two front-and-back correction blocks correspondingly. Through the up-and-down correction oil cylinder, the first supporting rod and the up-and-down correction block, Z-direction correction can be accurately conducted on a workpiece, through the front-and-back correction oil cylinder, the front-and-back correction block and the second supporting rod, Y-direction correction can be accurately conducted on the workpiece, operation is easy and fast, correction and inspection are integrated, and the percent of pass is high.

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 relates to the technical field of information processing, in particular to a charge application approval settlement dynamic configuration method and device, equipment and a storage medium, and the method comprises the steps: carrying out the dynamic configuration of a charge application instruction based on a preset business rule, and generating an application form meeting the business demands according to the configuration information; all links in the application, approval and settlement process are rapidly adjusted, the flexibility and adaptability of the system are improved, the process is simplified, integrity and legality verification is carried out on the application form, intelligent verification processing is achieved, manual intervention and the error rate are reduced, the automation degree is improved, and the efficiency is improved. The approval process of the application form is triggered according to the preset approval rule, cost calculation is performed according to the preset settlement rule, payment processing is performed according to the calculation result, the efficiency of cost application, approval and settlement is improved, and then the user satisfaction is improved.

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 discloses an intelligent account verification method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining the to-be-processed data of a target customer when the account payment of the target customer is monitored; loading target rule information of the target client in an enabled state from a target database through a rule generator of a rule matching engine; based on the target rule information, performing data filtering on the to-be-processed data to obtain target to-be-processed data; and based on an intelligent matching model of the rule matching engine, performing service screening on the target to-be-processed data to obtain target screened data, and performing cancel-after-verification processing on the target screened data. According to the invention, intelligent verification of a large amount of accounts can be realized. The account verification efficiency can be improved.

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 relates to the technical field of face recognition, and discloses a hotel unmanned check-in system and method based on face recognition, and the hotel unmanned check-in method based on face recognition comprises the steps: obtaining multi-modal environment data, extracting environment risk factors, forming environment risk vectors, and calculating a comprehensive environment risk score; calculating a verification entropy value based on the environmental risk score, establishing a verification mode set, executing a verification entropy optimization algorithm, and forming a verification strategy table; inputting the environmental risk score into a biological cognition synchronous control algorithm, generating a controller output value, converting the controller output value into a dynamic verification parameter, executing cognition depth adjustment, and generating a verification execution instruction set; executing a face recognition verification process according to the verification execution instruction set; the intelligent verification system capable of sensing the environment, evaluating the risk and performing adaptive adjustment is constructed through the steps, and the problems that in the prior art, environment adaptability is insufficient, dynamic adjustment is lacked, and risk prediction is lacked are solved.

The invention provides a tunnel full-section comprehensive monitoring system based on a distributed optical fiber sensing technology, an early warning analysis method and an implementation method, and relates to the field of tunnel engineering.The tunnel full-section comprehensive monitoring system comprises a terminal processing system and a cloud AI processing system, and the terminal processing system and the cloud AI processing system are in signal connection to jointly construct a two-stage interaction system architecture; the terminal processing system is used for quantifying risk factors of the whole section of the tunnel into numeric feature vectors and calculating state differences of the same tunnel monitoring section at different time points according to the numeric feature vectors through a specific algorithm so as to obtain target deformation data; and determining the current early warning state of the tunnel section according to the execution degree # imgabs0 #. The system has the following beneficial effects: firstly, the distributed optical fiber sensing technology is utilized, and the multi-section data in the tunnel can be monitored in real time; and secondly, a feedback mechanism is introduced, and a set of intelligent verification system for continuous learning and optimization is constructed through mutual fusion of professional experience of constructors and an advanced deep learning technology.

Intelligent validation of digital resources through power consumption telemetry tracking. Power consumption telemetry data associated with a digital asset is extracted from distributed trust computing networks and the like and is subsequently applied to Artificial Intelligence, such as ML models to determine a power consumption indicator. Validation rules engine is executed, which selects validation rules based at least on digital asset type and applies, at least, the power consumption indicator to the selected validation rules to determine validation status. The validation status, which may be partially based on a minimal power consumption threshold, is determinative as to whether or not the digital asset is authorized for acceptance into a digital asset exchange platform.

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.

Systems, methods, and computer-readable storage media for improving cybersecurity protections across entities. One system includes a response system including one or more processing circuits including memory and at least one processor configured to generate a decentralized identity passport for each of a plurality of entities. The at least one processor further configured to attach or embed a plurality of proof of controls to the decentralized identify passport of an entity of the plurality of entities, the plurality of proof of controls corresponding to one or more cybersecurity protection actions implemented by the entity. The at least one processor further configured to record the plurality of proof of controls on a distributed ledger or data source as one or more exchanges linked to the decentralized identity passport.

The invention discloses an intelligent verification and detection method for a large-current switch built-in electric energy meter, and relates to the technical field of electric energy meter detection and calibration. Outputting the difference between the output data of the standard electric energy meter and the output data of the tested electric energy meter through the real-time error model; function detection is carried out; and dynamic self-calibration is carried out based on real-time analysis detection data. According to the intelligent verification and detection method for the large-current switch built-in type electric energy meter provided by the invention, the real-time error model is constructed, so that the real-time performance and accuracy of detection are remarkably improved. Through absolute error and relative error models, the contribution of each parameter to the error can be accurately quantified, and guidance is provided for design optimization of the electric energy meter. The starting, creeping, cost control functions and communication functions are detected through the function detection module, the multifunctionality and the performance stability of the electric energy meter are guaranteed, and better effects are achieved in the aspects of the detection precision and adaptability and the adaptability of the system to complex working conditions.

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.