155 results about "Intelligent verification" patented technology

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 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 a multi-format document analysis and verification method and system and a program product, and relates to the technical field of document processing and intelligent verification. The method adopts a layered modular architecture, and comprises the following steps: a document analysis layer selects an analysis strategy according to document types and complexity, and uniformly converts various formats of documents such as PDF, Word, Excel and the like into a Markdown intermediate format; the index extraction layer uses an abstract base class and a dynamic Prompt optimization mechanism to extract structured data from an intermediate document and integrate the structured data into a unified JSON format to realize complete decoupling of data extraction and rule verification; and the rule verification layer dynamically loads a business rule by scanning an independent file, constructs a rule-dependent directed acyclic graph, and determines an execution sequence by utilizing topological sorting. According to the method, the problems of high data and rule coupling degree, high maintenance cost and poor expansibility in an existing system are effectively solved, hot plugging of the rules, dependency on automatic management and multi-document concurrent processing are realized, and the reusability and execution efficiency of the system are remarkably improved.

A memory device has control circuitry that is configured to perform a smart verify operation on the memory cells of a selected word line to acquire an initial programming voltage for programming subsequent word lines. Following completion of the smart verify operation, the control circuitry is configured to adjust a programming voltage by both a step size or one half of a step size and also an offset and then continue programming the memory cells of the selected word line.

The embodiment of the invention discloses a buried point verification method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of buried points. The method comprises the following steps: acquiring a burying point application form; performing intelligent verification on the burying point application form to obtain a structured parameter table and business metadata; inputting the structured parameters and the business metadata into a semantic analysis engine to obtain a parameter semantic tree of the burying point application form; obtaining a dynamic verification rule generated by a dynamic rule generator; the dynamic rule generator is obtained by training based on a historical burying point log; and verifying the parameter semantic tree of the burying point application form based on the dynamic verification rule to obtain a burying point verification result. According to the scheme, buried point verification can be automatically carried out based on the dynamic verification rule.

The invention belongs to the technical field of concrete, and discloses a concrete proportion automatic checking method, device and equipment and a storage medium. The method comprises the following steps: acquiring original matching parameters of a to-be-checked concrete matching ratio, and acquiring field dynamic interference parameters in real time through a sensor; carrying out field performance test on the actual concrete mixture to obtain actually measured working performance data and initial strength data; performing compressive strength simulation on the original proportioning parameters and the field dynamic interference parameters through a strength prediction model to obtain theoretical strength data; comparing the actually measured working performance data and the initial strength data with theoretical strength data to obtain a strength verification result; calling a corresponding checking rule from a preset checking rule base based on the field dynamic interference parameter; and performing automatic checking based on the strength checking result, the checking rule and the original matching parameters. By means of the method, static manual judgment is converted into dynamic intelligent verification, and the checking efficiency and precision are improved.

This invention discloses a method and system for MCU pin configuration and ARXML generation based on the Excel platform. It automatically parses the MCU chip manual using Python and builds a pin resource library, enabling one-click import of pin data. Utilizing VBA, it achieves dynamic management and intelligent verification of configuration items, supporting error aggregation and location redirection. It also automatically maps configuration data to AUTOSAR standard ARXML files. This invention unifies hardware and software data sources, significantly reduces human error, and improves the efficiency of pin configuration and file generation.

The invention discloses an intelligent verification method based on a standardized relay protection tester control interface, and relates to the technical field of relay protection tester control interface verification, and the method comprises the following steps: 1, constructing a set of standardized control instruction set and data format irrelevant to a specific tester model; 2, a special data format adapter is developed for each tester model, the adapter is responsible for translating a standardized instruction issued by an upper layer into a specific instruction of a native communication protocol of the tester of the model and sending the specific instruction to the tester, and meanwhile response data returned by the tester is analyzed and packaged into a standardized data format to be returned; according to the intelligent verification method based on the standardized relay protection tester control interface, decoupling of upper-layer application and bottom-layer tester hardware is achieved through the standardized interface and the data format adapter, testers of different manufacturers and different models can be controlled to conduct verification work, and the applicability of the method is high.

The invention aims to provide the switching operation ticket multi-dimensional intelligent verification system and verification method with high accuracy and integrity. The system comprises a data acquisition module (1), an objectification processing module (2), a multi-dimensional verification module (3), a result output module (4) and a verification rule iteration module (5). The method comprises the following steps: T1, a data acquisition module obtains an operation order to be verified and associated data; t2, analyzing the operation ticket into triple data by the objectification processing module; t3, a multi-dimensional verification module sequentially executes topological logic verification, normalization verification, cross-ticket comparison verification and real-time state matching; t4, a result output module generates a verification report containing question types, positions and rectification suggestions; and T5, the verification rule iteration module updates the verification rule base based on manual auditing feedback. The method is applied to the technical field of power safety operation and maintenance.

The application discloses a loan risk intelligent verification method and device based on consumption habit analysis, and the method comprises the following steps: screening and determining a target verification user, and obtaining a corresponding consumption bill; classifying the consumption bill of the target verification user to obtain a bill classification result, and analyzing the bill classification result through a consumption habit analysis model to obtain a consumption habit parameter; judging whether the target verification user meets a verification condition according to the consumption habit parameter; and if not, freezing the loan limit of the target verification user. The loan risk intelligent verification method based on consumption habit analysis can analyze the consumption bill of the user, thereby realizing risk verification on the post-loan consumption of the user, and through a specific verification method, whether the consumption of the user meets the verification condition can be efficiently and accurately judged, so that the efficiency and reliability of the risk verification on the post-loan consumption of the user are improved, and post-loan risks can be effectively prevented.

The invention discloses an intelligent verification device of a financial data center. The intelligent verification device is connected with the financial data center machine room refrigeration system; the intelligent verification device comprises a dynamic load simulation unit, a first temperature sensor, a second temperature sensor, a first voltage sensor, a first current sensor and a controller. The first temperature sensor is used for acquiring air inlet temperature information; the second temperature sensor is used for acquiring air outlet temperature information; the first voltage sensor is used for acquiring output voltage information of the dynamic load simulation unit; the first current sensor is used for acquiring output current information of the dynamic load simulation unit; and the controller is used for controlling the output power change of the dynamic load simulation unit, and determining the verification result of the machine room refrigeration system according to the obtained air inlet temperature information, air outlet temperature information, output voltage information and output current information. The output power of the dynamic load simulation unit is set to simulate a real scene, and the verification result accuracy of the machine room refrigeration system is improved.

The present application relates to the technical field of data processing, and specifically discloses an electronic insurance policy intelligent verification and repair method, system, device and medium. The present application extracts structured insurance policy data through multi-modal analysis, performs hierarchical processing in combination with a large model semantic verification and confidence evaluation model, respectively executes automatic repair or generates a manual processing task carrying repair guide information according to different confidence levels, and iteratively optimizes the large model and the confidence evaluation model based on repair process data and results, thereby solving the problems of low artificial sampling efficiency, high failure and leakage rate of rule templates facing non-standard insurance policies, uncontrollable output of general large models, and lack of confidence calibration and closed-loop repair capabilities, and achieving dual improvement of electronic insurance policy verification accuracy and automation processing efficiency.

The application provides a medical intelligent verification method and system, and relates to the technical field of automatic verification. The multi-modal large model medical verification system provided in the application can automatically read, understand and check prescriptions and various medical documents, accurately aligns key information by using visual positioning technology, makes compliance judgment in combination with medical knowledge, and is fully explainable, traceable and does not produce hallucinations, thereby greatly reducing the workload of doctors and improving medical safety.

The invention provides a verification system and method for production line tool switching. The system comprises a depth camera, an updating tool, a matching base and a controller, wherein the updating tool comprises a mounting joint, a first target mark point and a second target mark point; the matching base comprises a butt joint, a first positioning mark point and a second positioning mark point, and the controller stores a first moving position of a first target mark point and a first matching position of the first positioning mark point which are synchronized through a first time sequence queue to carry out alignment analysis. And storing a second moving position of the second target mark point and a second matching position of the second positioning mark point which are synchronized after successful alignment through a second time sequence queue, and carrying out installation process analysis. Under the conditions that a tool does not need to be transformed and contact does not exist, through arrangement of the alignment marks and the in-place marks, intelligent verification of the whole installation process of the device without the perception function is achieved, and the verification accuracy of the installation process is improved.

The application discloses a method for intelligent verification of land change evidence photos based on multi-source information fusion, and has the characteristics that a to-be-verified image set, a travel database and a land type database are acquired respectively; travel features are determined according to the to-be-verified image set and the travel database; whether the to-be-verified image set is abnormal is judged according to the travel features and the travel database; when the to-be-verified image set is abnormal, the to-be-verified image set is marked as wrong; when the to-be-verified image set is not abnormal, first land feature types in a to-be-verified area are determined according to the land type database; second land feature types in each photo in the to-be-verified image set are determined according to the photos; and qualified to-be-verified image sets are determined according to the first land feature types in the to-be-verified area and the second land feature types in each photo in the to-be-verified image set. The application constructs a multi-level automatic verification framework, reduces the problem of false evidence from the technical level, and effectively improves the verification efficiency of evidence photos.

The embodiment of the invention provides an intelligent verification system of a temperature controller for a transformer. The temperature controller comprises a constant-temperature oil tank containing constant-temperature oil and an instrument panel used for displaying the regulation and control temperature of the constant-temperature oil, and the intelligent verification system comprises image acquisition equipment, a plurality of temperature sensors, a setting module and a host. According to the intelligent verification system provided by the embodiment of the invention, the regulation and control temperature of the temperature controller is determined by using the image of the instrument panel acquired by the image acquisition equipment, and the actual temperature of the constant-temperature oil in the constant-temperature oil tank is measured by using the temperature sensor; the host judges whether abnormity exists or not based on the regulation and control temperature and the actual temperature and reminds that the temperature rises to the required temperature, the dependence of temperature controller verification on manpower is reduced, and the problems that manual temperature monitoring is low in efficiency and the detection opportunity is prone to being missed are solved; the setting module solves the problem that the model of the temperature controller is easy to make mistakes when the target temperature is manually set, and the convenience and accuracy of parameter setting are improved.

The invention discloses an intelligent verification method based on AI knowledge graph analysis, and the method comprises the steps: analyzing product demand information, constructing a dynamic influence range graph, receiving an initial code segment, and carrying out the verification through an AI static analysis model, if the verification is qualified, performing coverage verification on the initial code segment in combination with the dynamic influence range map, rechecking the code repair information, and repairing and combining the initial code segment according to the code repair information and a repair rechecking result to obtain a to-be-executed application; updating the basic test case library according to the test coverage verification result to obtain an updated test case library, executing through the to-be-executed application, and performing comparison verification on execution monitoring information obtained by executing the test case and the test execution result through a comparison verification rule and the updated test case library to obtain a quality verification result. And updating the dynamic influence range map. The whole-process closed-loop verification is realized by constructing the AI knowledge graph, and the reliability of the application software quality verification is improved.

This invention relates to the field of data processing technology, specifically to an intelligent proofreading system and method for electronic document formats based on multi-dimensional verification rules. It includes: a document structure parsing unit; a dynamic verification rule generation unit; an intelligent verification execution unit; and a verification result output unit. This invention eliminates differences in electronic document parsing. After extracting semantic blocks such as titles and body text by a paragraph-level semantic block recognition module, the intelligent verification execution unit calls a multi-dimensional rule set to verify core format elements. The verification result output unit accurately locates the page numbers, paragraphs, and character positions of deviations, generating correction guidelines and multi-format reports containing problem descriptions and compliance examples. This invention solves the problem of the lack of a formal, dedicated proofreading system for core document formats in existing technologies. It can comprehensively identify deviations and clarify the direction of correction, ensuring compliant document circulation while reducing labor costs and improving proofreading efficiency and convenience.

The application discloses a kind of intelligent verification and deviation correction method and system of power selling day clearing result.The method collects power selling day clearing data, which is decomposed into metering, price, loss and settlement rules and other business components and evaluated uncertainty, according to tail thickness, divided into light tail type or near Gaussian type component and heavy tail type component;Through first-order Taylor expansion to obtain sensitivity coefficient, saddle point approximation second-order semi-analytic expansion is used for heavy tail component to obtain second-order cumulant curvature;Spearman dependence matrix is constructed, and positive definite correlation matrix is generated by ridge parameter disturbance and normalization, and combined with standard deviation to form covariance matrix, calculate the combined standard uncertainty and the corrected component degree of freedom, generate asymmetric verification threshold;When day clearing result is over threshold, based on contribution degree vector, deviation is counter-distributed, and kalman filter with residual auto-regression is used to update component, and output correction result.

The present application relates to the technical field of intelligent verification, and particularly relates to a financial document intelligent verification method and system. The method comprises the following steps: obtaining bill image data; positioning an amount area according to the bill image data to obtain amount area data; recognizing amount characters according to the amount area data to obtain amount character data; positioning a decimal point according to the amount character data to obtain decimal point neighborhood image data; extracting features according to the decimal point neighborhood image data to obtain geometric feature data; calculating amount structure difference according to the geometric feature data to obtain structure difference data; and performing confidence mapping according to the structure difference data to obtain document risk label data. Through image structure difference and confidence mapping, the present application effectively identifies amount recognition abnormalities caused by non-malicious structure loss / fuzziness such as compression and shooting, and improves the accuracy and automation level of financial document image-text consistency verification.

The invention discloses a composite nondestructive testing and analysis system based on an electromagnetic effect and AI vision, belongs to the technical field of nondestructive testing, and aims to solve the technical problems that in the prior art, electromagnetic testing and vision testing work independently, data space and time are not synchronous, so that surface and subsurface defect information is separated, and effective correlation judgment cannot be achieved. In-situ synchronous acquisition and data alignment of the electromagnetic sensor and the visual sensor are realized through the multi-field fusion acquisition module; performing feature-level adaptive fusion on the heterogeneous data by using a dual-path deep network in the intelligent fusion analysis module; defect identification and positioning are completed by means of a real-time online analysis module; and the closed loop feedback control module dynamically adjusts a detection strategy according to a result to form an intelligent verification closed loop. According to the invention, integrated, high-precision and self-adaptive intelligent detection and comprehensive judgment of'surface-near surface-subsurface 'multi-level defects of the workpiece are realized.

The invention discloses an existing multifunctional building group distributed energy management system and a transformation method, relates to the technical field of energy management system transformation, and aims to solve the problems that multi-source data of an existing system cannot be fused and unified business support is lacked. The system comprises a distributed energy data acquisition unit which is deployed according to functional areas and energy types and comprises a water supply sub-unit, a heat supply sub-unit, a power supply sub-unit and an auxiliary acquisition sub-unit; the multi-mode communication transmission network is used for data local collection and remote transmission; the energy comprehensive management platform is connected with the communication network and comprises a data middle station, a service middle station and a technology middle station; and the AI quality conformity verification module is used for realizing intelligent verification and long-term trend monitoring of equipment installation quality and data transmission reliability based on an AI model of multi-modal data fusion analysis. The system is suitable for new construction or reconstruction of energy systems of complex building groups such as airports and large-scale parks, and distributed energy monitoring, centralized management and intelligent quality verification can be realized.

The present application relates to the technical field of data processing, and particularly relates to a specification operation intelligent verification and approval method based on identity dual authentication, which comprises the following steps: obtaining an operation behavior sequence by recognizing personnel action data and equipment state change data, and obtaining an operation behavior log and an operation vector based on the operation behavior sequence; determining a specification degree corresponding to an operation instruction and a stability degree corresponding to the operation instruction based on the operation behavior log; splitting a process according to the stability degree to obtain each operation segment corresponding to the process, and calculating an image weight corresponding to each operation segment; selecting a target operation segment according to the image weight, combining a time difference coefficient of an operation vector of the target operation segment corresponding to a historical reference process and the similarity of the operation vector to determine a target credibility score, and performing verification processing on the operation behavior according to the target credibility score to obtain a verification result. The present application can improve the accuracy of specification operation intelligent verification and approval.

The invention provides a method for designing and selecting a model based on a LABVIEW throttling device, relates to the field of instruments and control, and aims to solve the problems of difficulty in model selection checking calculation and low accuracy of the throttling device in flow measurement of gases such as water, steam and natural gas in a chemical device. The method depends on an LABVIEW software platform, comprises eight model selection calculation sub-modules, covers various throttling devices such as a nozzle, a standard pore plate and a classic Venturi tube and different pressure taking modes, and can process flow measurement scenes of gas such as steam, water and natural gas in a targeted manner. Each sub-module comprises a main program, six types of calculation sub-programs and an intelligent verification sub-program. And the intelligent verification subprogram is combined with a rule judgment engine to identify abnormal input and perform graded early warning. And the main program calls each subprogram to execute calculation, outputs key results such as the inner diameter of the pipeline, the Reynolds number and the differential pressure, and can perform checking calculation on a calculation book of a manufacturer and generate a comparison report. According to the method, the deviation between a steam nozzle and pore plate model selection calculation result and manufacturer data is smaller than 0.01%, and the model selection accuracy and efficiency are remarkably improved.

The invention relates to a payment identity credibility verification protection method, belongs to the field of electric digital data processing, and particularly relates to the field of identity recognition. The method comprises the step of executing intelligent verification of a payment identity by using an intelligent credible verification model according to multiple environment related parameters corresponding to current financial payment, various target associated information of a target person and visual credible verification content. The invention also relates to a payment identity credibility verification protection system. According to the invention, the technical problem that the payment identity credibility verification in the prior art is difficult to meet the increasing multi-aspect requirements of the user at the same time is solved; visual screening data of a payment identity credible verification environment in which current financial payment is located are screened in a targeted manner, and multiple environment related parameters and target associated information corresponding to the current financial payment are combined as assistance, so that intelligent verification of whether a to-be-verified person in front of a financial payment terminal is a target person or not is completed. Therefore, the technical problem is solved.

The invention discloses an intelligent cancel-after-verification management method, device and equipment and a storage medium, and the method comprises the steps: responding to a cancel-after-verification declaration request, and determining a cancel-after-verification product identifier based on the cancel-after-verification declaration request; a declaration processor is determined based on the cancel-after-verification product identifier, the declaration processor inherits a cancel-after-verification declaration processing base class and comprises a specific cancel-after-verification strategy corresponding to the cancel-after-verification product identifier, and the cancel-after-verification declaration processing base class comprises a public strategy of the cancel-after-verification product; and the to-be-cancelled-after-verification data in the cancelled-after-verification declaration request is cancelled after verification according to the declaration processor. According to the application, the cancel-after-verification is carried out according to the application processor which correspondingly inherits the cancel-after-verification application processing base class according to the cancel-after-verification product identifier, so that compared with an existing cancel-after-verification mode of developing a corresponding cancel-after-verification application for each product, the mode of the application can fully utilize a reusable function, avoids repeated development and test, and improves the reliability of the application. Not only is the online period of the application cancelled after verification reduced, but also the human input of a development and test team is reduced.

The invention relates to the technical field of reimbursement management and control, and discloses an intelligent reimbursement management and control system and method, and the system comprises a data access layer, a core engine layer, a business application layer, and an intelligent output layer. The core engine layer adopts a deep fusion architecture of a reimbursement exclusive rule engine unit and an AIAgent intelligent interaction unit, and realizes data intercommunication through an MCP protocol. According to the invention, an enterprise financial cloud, a business cloud, a tax platform, a budget system and a historical order returning database are connected, a closed-loop management and control system of data acquisition-intelligent verification-order returning processing-rule precipitation is formed, and intelligent management of the whole process (classification, execution, optimization and precipitation) of order returning rules is realized. Compared with the prior art, the method has the advantages that the order returning processing efficiency is improved by 83% or above, the repeated order returning rate is reduced to 12% or below, the hidden violation recognition rate is improved to 92% or above, and the technical problems that rules are rigid, the order returning efficiency is low, risk recognition is lagged, business and financial collaboration is lacked, and self-optimization capacity does not exist are effectively solved.

A memory device and method of operation are provided. The device includes a block of memory cells. Each of the memory cells is connected to one of a plurality of word lines and is also arranged into a string and configured to hold a threshold voltage within a common range of threshold voltages. Control circuitry coupled to the plurality of word lines and the string is configured to determine an erase upper tail voltage of a distribution of the threshold voltages of the memory cells after an erase operation. The erase upper tail voltage corresponds to a cycling condition of the memory cells. The control circuitry is also configured to calculate, based on the erase upper tail voltage, a program voltage to be applied to each of selected ones of the plurality of word lines associated with the memory cells to program the memory cells during a program operation.

The application discloses a kind of intelligent verification method and device of equipment account card data, comprising: collecting the account data and asset data of one or more production equipment in the equipment database that meets equipment statistical condition;Verify the account data and asset data of each production equipment, obtain the account card verification result corresponding to the production equipment;Analysis the account card verification result corresponding to each production equipment, obtain the account card consistency data corresponding to the device set consisting of all production equipment;Based on account card consistency data, generate the account card consistency analysis page corresponding to the device set.It can be seen that, by verifying and analyzing account data and asset data, the account card consistency data is obtained to generate the account card consistency page, which improves the efficiency of account card data verification and the update maintenance synchronization rate of account data and asset data, and reduces the isolation between the storage systems of account data and asset data, thereby improving the consistency of information in equipment account and fixed asset card.