71 results about "Validation rule" patented technology

The application discloses a kind of spatiotemporal constraint's blockchain digital collectible dynamic generation method and system, it is related to blockchain technology field, including, digital collectible technical service provider carries out digitization collection and modeling based on multi-view three-dimensional reconstruction technology to physical entity, generates high-precision initial three-dimensional model;The initial three-dimensional model is bound with the environmental data of the physical entity that is collected in real time by sensor network, and the digital twin model of the physical entity is constructed;Intelligent contract is deployed on blockchain, and the preset spatiotemporal constraint condition is defined as the verifiable rule in the intelligent contract;When user client meets the spatiotemporal constraint condition, it submits its spatiotemporal information to the intelligent contract Zero-knowledge proof that the verifiable rule is met.The application evolves initial three-dimensional model, generates final digital collectible file, finally the hash value and metadata of the file are notarized in blockchain, complete casting.

Disclosed in the present disclosure are a route configuration method and apparatus, and a device, a medium, and a program product. The route configuration method applied to a subnet comprises: sending a route announcement to at least one network device, wherein the route announcement is used for instructing the network device to generate a corresponding source address validation rule, and the route announcement comprises at least one of the following information: at least two route prefixes and priority indication information corresponding thereto, and at least one sub-route prefix and a parent route prefix thereof.

A system (108) and a method (500) for managing at least one connection in a network (106) is described. A network function (110) communicates at least one first session create request towards a network entity (112) on receiving at least one request from a user equipment (104). At least one create session request having a tunnel endpoint identifier (TEID) is communicated from the network entity by the NF. The received TEID is validated based on a set of validation rules by the network entity (402). Based on the validation of the TEID, the network entity communicates at least one create session response to the NF. Upon receiving the create session response by the NF, the NF (308) terminates at least one stale session attached to the TEID and transmits a trigger message to the UE for detaching / re-attaching with the network entity by the NF.

The invention discloses a method for configuring an equipment management rule through a natural language, and relates to the technical field of natural language processing, and the method comprises the steps: extracting a multi-modal biological feature, calculating an emotion weight, and generating an emotion enhanced semantic structure through emotion mapping; inputting the emotion enhanced semantic structure into a device management knowledge graph, and generating executable rule logic through a graph neural network model; converting executable rule logic into a device instruction set through a dual-path rule code, executing emotion constraint to verify the device instruction set, and outputting a verification rule packet; executing the verification rule packet, collecting feedback data through rule monitoring, executing target parameter adjustment, generating a rule version updating record and outputting a device response log; neighbor node information is aggregated by using graph convolution operation, and a dynamic rule fusing a global topological relation is generated. Knowledge-driven multi-hop reasoning is realized, so that rule logic can be accurately associated with cross-equipment and cross-scene complex constraints.

The invention relates to an equipment start-stop control method and device, equipment and a storage medium, and the method comprises the steps: obtaining a test configuration parameter inputted by a user, and the test configuration parameter comprises a communication mode; based on the test configuration parameters, controlling the to-be-tested device to be powered on, and starting timing; establishing communication with the to-be-tested device according to the test configuration parameters, and analyzing the response of the to-be-tested device based on a preset verification rule to determine whether the to-be-tested device is normally started within a preset maximum allowable starting time; and in response to the starting exception of the to-be-tested equipment, executing exception handling operation. A user carries out parameter configuration before testing through a graphical interface of a start-stop testing tool corresponding to the equipment start-stop control method, the parameters determine follow-up control, verification and processing behaviors, the equipment start-stop control method can adapt to different automatic equipment, and software development does not need to be repeated for the different automatic equipment.

The invention discloses a method for script-less automation testing of any API's based product including RTP's. The method utilizes a template-based approach for testing the API's based products. Further, the method automates the testing by eliminating behaviour capturing of the application under test. Furthermore, the method comprises of ‘user interface’ module and a ‘central automation solution’ module. The user interface module is utilized to trigger test execution for any API / RTP scenarios, configure inputs for test data & validation rules, and a test result dashboard to view the test execution results and test artifacts. The ‘central test automation solution’ module is a collection of microservices that are capable to perform required API / RTP service calls and subsequent validations dynamically based on the configuration at the ‘User Interface’ module.

The invention relates to a method, a device and equipment for data synchronization between heterogeneous systems. The method comprises the steps that a data source and a target system are configured, a mapping relation table between source data fields in the data source and UI elements of the target system is constructed, and a multi-dimensional verification rule and an exception handling decision are defined; monitoring a data change event in the data source, extracting source data related to the data change event, and writing the source data into the UI element corresponding to the target system according to the mapping relation table to obtain synchronous data; verifying the synchronous data according to a multi-dimensional verification rule to obtain a verification result; and judging whether the verification result is verification failure or not, and if yes, executing multi-dimensional early warning and selecting a disposal process according to an exception handling decision. According to the method, through closed-loop design of execution and verification, the accuracy of data synchronization can be effectively ensured; the configurable exception handling decision can effectively deal with complex business scenes and unforeseen circumstances, and the continuity of the data synchronization process is ensured.

The present disclosure provides a method for data processing, a computer device and a storage medium. And the method includes: acquiring configuration change information of configuration information of a target service; parsing the configuration change information to obtain information to be verified of the configuration change information, where the information to be verified is determined based on a target configuration item in the configuration change information and / or service running data of the target service for the configuration change information; determining a verification rule matched with the information to be verified, and performing verification processing on the information to be verified according to the verification rule to obtain a verification result; and determining an information review result of the configuration change information based on the verification result.

A policy consistency verification apparatus includes a policy conversion part configured to generate an If-Then rule approximating a policy function used as an input, wherein the policy function is generated from policy definition defining attribute value of access and a rule regarding accessibility to obtain an output of accessibility from inputs of the attribute value; and an error sample generation part configured to verify consistency between the If-Then rule and the policy definition to generate inconsistent attribute value as an error sample.

The invention discloses a formal verification method and system in an industrial control system. The method comprises the following steps: determining a target business entity corresponding to an operation object in a current message in the industrial control system; obtaining at least one target rule corresponding to the target business entity from a verification rule base; executing a logic verification operation on the operand value in the current message based on each target rule; if the judgment result of the logic verification operation shows that the target rule is violated, a safety response action is triggered; wherein the execution process of the logic verification operation comprises the following steps of: generating an instantaneous atomic proposition truth value corresponding to an operation value in a current message; obtaining truth values of other atomic propositions in the target rule from the system state cache to obtain a historical atomic proposition truth value; combining the instantaneous atomic proposition truth value and the historical atomic proposition truth value to obtain an atomic proposition truth value vector of the current message; and obtaining a judgment result corresponding to the true value vector of the atomic proposition, and defending logic attacks which utilize legal instructions but violate the technological process.

This invention provides an information processing method using a generation AI, a program used therein, an information processing device, and an information processing system that prevent the generation AI from outputting incorrect or inappropriate content, thereby enabling the intended tasks to be performed without disruption. [Solution] In order to perform predetermined tasks in response to user input or commands from an external system, a second subsystem connects to a first subsystem and shares a predetermined format as the structure of the information with the first subsystem. The second subsystem receives the dialogue content, agreement content, etc., from the first subsystem in a batch, and evaluates and checks the appropriateness of the dialogue content, agreement content, etc., based on predetermined verification rules. If there is no inappropriate content, it approves the content, and if there is inappropriate content, it provides feedback to the first subsystem to correct the inappropriate content.

The application discloses an application vulnerability detection method and system with a self-defined verification function, and the detection method comprises the following steps: an IAST instrument is used to instrument a to-be-detected application program, so that vulnerability detection logic is woven into the application program; position information of a JSON analysis function return object in the application program is acquired; a mapping relationship among a field name, a field type and a field value in a JSON object returned by the JSON analysis function is extracted and stored, so that a tracking data set is obtained; a verification function is analyzed, so that a verification parameter in the current verification function that matches a verification rule model is acquired; the verification parameter is bound with a related field name in the tracking data set; a field bound with a feature field parameter in the tracking data set is marked as default security data; and according to the above method, when a field pointed by a vulnerability detection result belongs to a field bound with a verification parameter, the vulnerability information is automatically filtered out, so that false positives and false negatives are avoided, and the accuracy of a detection result is ensured.

The invention belongs to the technical field of data verification, and particularly relates to a data verification rule configuration method and system and a data distribution system. The configuration method comprises the following steps: S1, a programmer uses a unified code writing logic in advance to build a running environment of a configuration module; s2, business personnel convert the business demand into logical operation among a plurality of basic demands; and S3, the business personnel in the configuration module reserves the logical operation among the basic demands, converts each basic demand into the logical operation among the plurality of basic verification units, and completes verification rule configuration for the current business demand in the configuration module. According to the data verification method and device, business personnel can conveniently and independently complete configuration and maintenance of the verification rules, the data verification efficiency and verification effect are improved, and meanwhile the stability of data verification is guaranteed.

This application relates to the field of database technology, and in particular to a data reporting method, apparatus, device, medium, and program product based on intelligent data verification. The method includes: in response to acquiring submitted data, loading a pre-configured set of verification rules based on the form identifier corresponding to the submitted data; querying corresponding historical data values ​​according to cross-validation rules, logically comparing the target field value with the historical data value, and generating a cross-validation result; extracting basic field values ​​as input parameters according to complex verification rules, performing multi-level logical judgment operations, and generating a complex rule verification result; performing data type and format matching verification on specified field values ​​in the submitted data according to format verification rules, and generating a format verification result; generating verification result data, and returning the verification result data to the client, wherein the verification result data is used to identify erroneous units in the submitted data. This method can improve the management efficiency and effectiveness of reported data.

Systems and methods for service vendor onboarding and pre-production artifact validation and functional testing are provided. An example method includes receiving, in an automated test control system in connection with a cellular network, a request for deploying an artifact on the cellular network, generating an artifact profile, a configuration profile, a release note associated with the artifact, performing a validation of the artifact according to a predetermined validation rule, in response to a determination that the artifact is validated, instantiating one or more test environments for the validated artifact, performing a functional test on the artifact within the test environment, and outputting results of the validation and the functional test.

The invention relates to the technical field of field testing, in particular to a service quality field automatic testing method and device, equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring management access information of to-be-tested network equipment and establishing a remote management session; issuing a preset first configuration instruction through the remote management session, so that the to-be-tested network equipment determines an output queue according to a preset first queue effective rule and starts queue congestion management associated with the congestion notification sub-field; controlling a flow generation device to generate at least two paths of test flows pointing to a receiving port, setting an initial value of a header field of a message, starting packet capture, and sending the test flows to generate a packet capture file; analyzing the packet capture file to obtain an actual value of the congestion notification sub-field, and comparing the actual value with the initial value to obtain a first verification result; and issuing a preset second configuration instruction, switching to a preset second queue effective rule, and repeating packet capture and comparison to obtain a second verification result, thereby obtaining a target test result.

A computer system for creating and processing forms within block-based workspaces provides connections between form questions and database properties. The computer system enables creation of forms either from scratch or based on existing database structures, with each form question mapped to a database property. The computer system includes a form builder interface for configuring questions with validation rules, a sharing interface for distributing forms publicly or within workspaces, and automation capabilities for triggering actions based on responses. Forms can be customized with various question types, styling options, and validation rules while maintaining direct connection to the underlying database. The validation rules include configurable constraints for different question types. The form responses automatically populate workspace databases, enabling immediate analysis and workflow automation.

The invention provides a PSR model test method and device and related equipment, and relates to the technical field of communication. The method comprises the following steps: determining a to-be-tested target service; generating an application programming interface (API) request of the target service; the PSR model of the target service is tested based on the API request, and a test result is obtained; and obtaining a verification rule of the target service, and determining whether the PSR model passes the test based on the verification rule and the test result. By means of the technical means, the problems that in the related technology, the testing link is split, all layers of the PSR model are independently verified, end-to-end penetration testing cannot be achieved, and fault positioning is difficult are solved.

The invention provides a logic closed-loop auditing method between two groups of associated operation tickets. The method comprises the following steps: acquiring two groups of operation tickets as a power-off operation ticket and a power-on operation ticket; obtaining a first key device which is operated by the operation verb and has a position change from the power failure operation ticket and a second key device which is operated by the operation verb and has a position change from the power transmission operation ticket, and counting the first operation record and the last operation record of each of the first key device and the second key device; based on a cross validation rule, verifying whether the position of the last operation record of the first key equipment is opposite to the position of the first operation record of the second key equipment, and verifying whether the position of the first operation record of the first key equipment is opposite to the position of the last operation record of the second key equipment; and the reasonable passing ability of the operation steps containing the associated operation verbs in the power failure and power transmission operation tickets is checked. By implementing the method and the device, the problems of low efficiency, poor reliability, low automation degree and the like of the existing manual auditing mode can be solved.

A computer-implemented method that includes executing a data lake application that includes computing instructions operable to perform operations including receiving raw data, cleansing the raw data using validation rules to generate curated raw data, and storing the curated raw data. The method also can include executing an OLAP application that includes computing instructions operable to perform operations including building a data layer comprising transaction objects from the curated raw data, storing the data layer in a data store, and performing batch processing using the data layer. The method additionally can include executing an OLTP application that includes computing instructions operable to perform operations including performing real-time processing based on data received from one or more of the curated raw data or the data layer. Communications to and from the data lake application, the OLAP application, and the OLTP application with other applications are processed through a unified data exchange. Other embodiments are described.

The present disclosure relates to a system and a method for processing distributed data files. The processor executes instructions to receive a set of instructions from a primary device, wherein the set of instructions comprises verification rules, validators, primary transformers and structure query transformers; generate processed data files by processing the distributed data files. The distributed data files are processed by performing at least one of: executing one of the verification rules, the validators and the primary transformers on the distributed data files; and transforming the distributed data files by executing the structure query transformers. The execution of the structured query transformers comprises steps of generating a dependency graph based upon dependencies between the structure query transformers; and determining a sequence of execution of the structured query transformers based upon the dependency graph; and transfer the processed data files to a data warehouse.

This invention relates to the field of B2B foreign trade website building technology, and in particular to a content model construction and unified engine execution method, system, and device. The method includes: the client configuring fields of the content model; the server constructing the fields into a tree-like field structure according to hierarchical relationships, storing the tree-like field structure as metadata, and assembling a model definition object based on the read metadata; the client recursively rendering the form interface based on the model definition object; the server generating data validation rules based on the configuration parameters in the metadata, and validating the form data submitted by the client based on the data validation rules; the server storing the validated form data according to the field attributes in the metadata, and performing state management, soft deletion, and sorting processing on the content data. This invention can solve the problems of high coupling between model and code, complex field nesting, difficulty in expansion, code redundancy, and difficulty in ensuring consistency of state across multiple modules in existing technologies.

Systems and methods for automatically updating validation rules used to detect and remediate network operation validation anomalies in conglomerate-application-based ecosystems are disclosed. The disclosed anomaly evaluation platform can dynamically monitor a set of document repositories containing specific guidelines for generating validation reports. In response to detecting updates in the guidelines, the anomaly evaluation platform retrieves a communication map defining parent-child relationships between validation rules and generates an updated communication map. The anomaly evaluation platform detects a transmission of a first network operation to a software application, which uses the first network operation to generate a second network operation. The anomaly evaluation platform provides the first network operation, the second network operation, and the updated communication map to an artificial intelligence model to generate a validation report that meets the specific criteria guidelines.

The invention provides a data sharing security decision-making method and system applying artificial intelligence, and the method comprises the steps: receiving data sharing task description information and an associated talent original data set, inputting the data sharing task description information and the associated talent original data set into a context-aware mapping network, generating a task data association strength mapping table, and carrying out the strategy matching with a preset basic security label set, performing conflict coordination on the data sharing demand and the security constraint condition, generating a fine-grained data protection guidance document, performing structured desensitization conversion operation on corresponding data units in the talent original data set to obtain an intermediate data form, and storing the intermediate data form into a database; and generating a matched access verification rule set and a transmission encryption rule set according to the access authority rule and the transmission encryption rule, deploying the access verification rule set, the transmission encryption rule set and the controlled cooperative computing environment to perform data sharing conjoint analysis, performing authority correction and encryption compliance check on the data access behavior, and outputting a sharing analysis result after the conjoint analysis operation is completed. According to the invention, the compliance and reliability of the shared analysis result report are guaranteed.

This disclosure describes techniques for automated data extraction, validation, and routing based on unstructured text data. In some cases, the techniques described herein include receiving text data, segmenting the text data into multiple segments, assigning each segment to a category, generating a prompt for each segment based on the segment's category, extracting field values from each segment using the generated prompt, validating or rejecting the extracted field values based on category-specific validation rules, and routing the validated field values to category-specific target databases and / or reviewer platforms based on the validation results.

Embodiments predict errors using database validation rules. Validation rules can be defined that include business logic for validating transactions performed on a database with a data model. Transactions can be performed using the database, where the database is in a post-transaction state after performance of the transactions. The database can be validated in the post-transaction state by performing the defined business logic for a subset of validation rules, where at least one validation rule fails to validate. Using a trained machine learning model, one or more errors for one or more future transactions can be predicted, the predicted errors being based on the at least one failed validation rule.

An automated, multi-layered QA system for cloud-native machine learning pipelines, including: a data validation module configured to receive input data from one or more data sources and evaluate the data for quality, completeness, consistency, and schema compliance; a preprocessing validation module that is functionally coupled with the data validation module and configured to check the correctness of data transformations, feature engineering, and normalization processes; a pipeline orchestration interface configured to coordinate the execution of pipeline components within containerized environments; a model validation module that is functionally coupled with the preprocessing validation module and configured to evaluate the performance, accuracy, robustness, and reproducibility of machine learning models during training and inference; a deployment validation module configured to validate the correctness, compatibility, and stability of model deployment in cloud-native environments; a monitoring and anomaly detection module configured to continuously track pipeline behavior and detect anomalies including data drift, model drift, and performance degradation; and a feedback and adaptive learning module configured to dynamically update validation rules and test strategies based on historical data and detected anomalies, the system is configured to provide continuous, end-to-end, and multi-layered quality assurance across all phases of the machine learning pipeline within cloud-native infrastructures.

This application relates to a method, apparatus, electronic device, and storage medium for asynchronous form validation based on Vue components, comprising: obtaining an asynchronous form validation task, wherein the asynchronous form validation task is obtained by parsing and constructing a schema configuration file through Vue components in the Vue.js architecture; obtaining multiple fields of the form to be validated asynchronously in the form validation task, and constructing a Promise chain for each field to be validated that has dependencies; performing asynchronous validation on the form validation task based on the Vue.js architecture, wherein when the asynchronous validation process reaches the asynchronous validation of each field to be validated that has dependencies, the field validation operation is performed through the Promise chain of each field to be validated that has dependencies; and determining the asynchronous validation result of the form validation task based on the asynchronous validation result of each field to be validated. The above method can decouple the validation rules from the Vue components.

A device may receive data request information that includes business requirement information, pipeline information, and dataset information, and may process the data request information to generate metadata. The device may store the metadata in a repository, and may validate the metadata in the repository based on validation rules and to generate validated metadata. The device may determine whether the validated metadata is approved or disapproved, and may selectively merge the validated metadata to the repository based on the validated metadata being approved or notify a requester based on the validated metadata being disapproved.

Various embodiments are directed to apparatuses, methods, and computer program products for executing centralized data verification using supported data structures associated with one or more third-party system. In various embodiments, an apparatus is configured to retrieve from a verification system repository associated with a verification system a supported data structure associated with a data structure identifier from the verification system repository; based on the third-party system identifier associated with the data structure, provide a data structure inquiry request data packet to a third-party resource to request a verification data structure associated with the data structure identifier from the third-party resource; receive an unsupported verification data structure associated with the data structure identifier from the third-party resource in an unsupported format defined by the third-party resource; convert the unsupported verification data structure into a supported format in association with generating a supported verification data structure using one or more validation rules.