106 results about "Model checking" patented technology

The invention discloses a compiling, checking and reviewing method and system for a three-dimensional model of a three-dimensional factory. The method comprises the steps that a three-dimensional factory design cooperative working platform conducts checking before checking and reviewing on the three-dimensional model and generates a checking report; in response to an operation instruction of a compiling and checking person, the platform submits a model checking requirement and a connection relationship between an item bottom layer and a database in the three-dimensional model to the checking person for checking, and meanwhile, the model checking requirement and the connection relationship can be returned to the modeling person for modification, and operation is repeated until checking is passed; and finally, the platform locks the checked, edited and revised three-dimensional model and stores the three-dimensional model in a platform database. According to the method, the workload of modeling personnel can be reduced, the quality of the three-dimensional model can be controlled through a platform tool, the quality of the model can be controlled step by step in detail, meanwhile, the three-dimensional model is locked all the time in the verification process, the three-dimensional model can be modified only at the modeling personnel, and the verification efficiency is improved. And the consistency of the three-dimensional model and the drawing is further ensured.

A model checking system configures a formal compliance document with remediation actions to correct security conflicts in an IAM system. The system applies a model checker on an abstract model of the IAM system to identify security conflicts and identifies remediation actions from the formal compliance document. The system applies the model checker after applying the first remediation action and determines whether the first remediation action creates another security conflict. If a remediation action is identified that does not create a new security conflict, then the system applies the identified remediation action. The formal compliance document is updated accordingly. When an operator revises code for a policy change, the system will apply the model checker on an abstract model of the IAM system with the code revision to identify security conflicts. If new security conflicts are not created in the simulation, then the system may deploy the code revision.

The invention relates to a tensor accelerator-oriented template calculation code generation method and system. The method comprises the following steps of: S1, calculating and converting a template into a field specific programming language designed by the tensor accelerator-oriented template calculation code generation method and the tensor accelerator-oriented template calculation code generation system; s2, carrying out row segmentation and column segmentation on the weight matrix calculated by the template; s3, stacking and rearranging the segmented weight rows / columns to form a weight matrix suitable for matrix multiplication; s4, starting an automatic tuning code generator, forming matrix multiplication cycle optimization configuration through evolutionary search, and screening candidate configuration by adopting a cost model; s5, the screened candidate configuration is used for actual measurement performance of a real machine, and an actual measurement result is used for updating a cost model; and S6, checking whether the number of evolution search iterations reaches an iteration number threshold or not, if so, ending the program, and selecting the optimal configuration, otherwise, turning to S4. According to the method, the multi-stage soft flow for memory access and calculation is constructed, so that the memory access overhead can be better masked.

The invention relates to the technical field of power grid digital checking, in particular to a checking method of a power grid digital design model, which comprises the following steps: S1, acquiring an initial parameter set of a to-be-checked power grid model; s2, performing data standardization processing on the initial parameter set; s3, constructing a three-dimensional topology verification model, and identifying abnormal nodes by using a spatial topology constraint algorithm; s4, mapping the real-time operation data to the three-dimensional topology verification model, and generating a dynamic parameter comparison matrix; s5, executing multi-dimensional check analysis, and generating a multi-dimensional difference report; s6, performing parameter replacement or topology reconstruction on the abnormal nodes, and outputting a final check result; according to the method, various power grid parameters are standardized in a unified manner, the accurate three-dimensional topology verification model is constructed, and automatic identification and quantitative correction of abnormal nodes are realized in combination with real-time data, so that the verification accuracy and operation reliability of the power grid model are remarkably improved.

The invention provides a program vulnerability analysis method, device and equipment. The scheme comprises the following steps: identifying a first type of risk instruction with an execution risk in a to-be-analyzed program; then, a risk calling sequence is extracted from the to-be-analyzed program according to the data dependency relationship of the input parameters of the first type of risk instructions in the to-be-analyzed program, and an end code unit in the risk calling sequence comprises the first type of risk instructions; the next code unit in the adjacent code unit combinations in the risk calling sequence is called by the previous code unit; then, for the risk calling sequence, session prompt information used for being input into the large model is generated, and the session prompt information is used for indicating the large model to check program vulnerabilities in the risk calling sequence; then, session prompt information is input into the large model, and a vulnerability analysis result, output by the large model, of the to-be-analyzed program is obtained.

The invention discloses a chip IP interface information automatic analysis and connection modeling method, and relates to the technical field of integrated circuit verification, and the method comprises the steps: multi-source interface information collection: docking a design server through an FTP / SFTP protocol, automatically retrieving and capturing a target file, carrying out format preprocessing, and storing the collected original information through a database; heterogeneous information fusion analysis: extracting port physical attributes and generating machine executable rules by constructing a grammar analyzer and a semantic analyzer respectively, and automatically judging multi-source information contradictions by adopting a three-level judgment mechanism; structuring modeling of the connection relation: constructing a directed graph model of the IP nodes, the signal nodes and the constraint nodes, and automatically executing directed graph model verification; and through a standardized API interface docking verification tool, outputting a model file and a report file in standardized JSON-LD and DOT formats. Through cooperative work of cross-format acquisition, double-engine analysis, structured modeling and standardized output, full-automatic processing of IP interface information is realized.

The embodiment of the invention discloses a normativity checking method and device for model design, a storage medium and terminal equipment, and relates to the field of software design. The method comprises the steps of obtaining a model design specification document of a research and development project, and generating a specification knowledge base according to the model design specification document; the model design specification document comprises a plurality of model check rules; constructing a training set according to the standard knowledge base; training the large model by adopting pre-training and fine tuning modes based on the training set; the trained large model is utilized, a to-be-checked model in a research and development project is processed, then a check report is output, and the check report comprises problem description information and modification suggestion information through the steps of building a standard knowledge base, generating a training set, training the large model in a pre-training and fine tuning mode, automatically outputting the check report and the like. The defects of efficiency, consistency and flexibility of a traditional model design normative checking mode are effectively overcome.

To provide a system.SOLUTION: A system comprises: means for checking and correcting a contract document; means for using a natural language processing model to check and correct the contract document; and means for achieving time reduction by checking and correcting the contract document using the natural language processing model.SELECTED DRAWING: Figure 1

The invention discloses a method for automatically screening common errors in a BIM model in engineering. The method comprises the following steps: opening the BIM model, and opening an automatic screening device for the common errors of the BIM model; selecting the BIM model to be subjected to error screening from the BIM models; selecting a function module of error type screening to be executed in the BIM model common error automatic screening device, and operating the device; the device circularly traverses the selected BIM model and sequentially compares BIM model data according to a set error screening rule, if the BIM model data accords with the error screening rule, error prompt information is generated, and if the BIM model data does not accord with the error screening rule, the step is quitted; the BIM model checking efficiency is greatly improved, and meanwhile the problems that manual checking is low in efficiency, high in omission ratio and high in misjudgment rate are solved.

A model checking system configures a formal compliance document with remediation actions to correct security conflicts in an IAM system. The system applies a model checker on an abstract model of the IAM system to identify security conflicts and identifies remediation actions from the formal compliance document. The system applies the model checker after applying the first remediation action and determines whether the first remediation action creates another security conflict. If a remediation action is identified that does not create a new security conflict, then the system applies the identified remediation action. The formal compliance document is updated accordingly. When an operator revises code for a policy change, the system will apply the model checker on an abstract model of the IAM system with the code revision to identify security conflicts. If new security conflicts are not created in the simulation, then the system may deploy the code revision.

To provide an autonomous testing device for generating an object description described in a time-phase logic expression, and autonomously performing a test using the generated object description related to autonomous performance when a test object is changed in model checking.SOLUTION: An autonomous testing device 100 for executing model testing is provided with a test execution determining unit 90 and a time-phase logic expression generating unit 50. The test execution determining unit 90 determines whether or not to execute a test for a test target by using a test execution status for a target function and product update information that is information indicating the version of the target function. The time-phase logic expression generating unit 50 generates the object description of a time-phase logic expression by using multiplicity information indicating the multiplicity of each stereotype corresponding to each product included in the test object, metamodel information indicating the relationship between each operand name and each stereotype, and pattern information indicating the relationship between a template of the time-phase logic expression and a description rule of the object of the time-phase logic expression.SELECTED DRAWING: Figure 1

Embodiments of the present disclosure provide a model conversion method, related device and medium. The method deploys a model conversion image to a node where a target chip is located, converts an original model into a target model corresponding to the target chip through the model conversion image. Then, the original model is checked through an original model checking image and the target model is checked through a target model checking image, a conversion deviation value capable of judging the model conversion effect is obtained according to a first checking result and a second checking result, and automatic checking of the converted target model is realized. Based on the checking result (conversion deviation value), a target model meeting the requirements is constructed into an image and stored in an image warehouse for subsequent calling. Embodiments of the present disclosure aim to ensure the usability of the converted model. Embodiments of the present disclosure can be applied to computer vision, natural language processing, speech recognition, autonomous driving, edge computing and the like.

The present invention relates to a method for converting a Simulink-StateFlow model into a NuSMV model, which includes the following steps: conducting a requirements analysis on the system to be evaluated and constructing a Simulink-StateFlow model; extracting program statements, custom function statements, and logical sequence relationships in the model, and respectively constructing a program statement data table, a custom function data table, and a logical sequence data table; integrating the model program and sequence to generate a model information table; analyzing the Matlab programming language and constructing Matlab syntax rules; processing the program statements in the model information table according to the syntax rules and parsing them into an abstract syntax tree; processing the abstract syntax tree to determine an algorithm for converting it into NuSMV statements; and processing the model information table according to the conversion algorithm to generate a NuSMV model. The present invention greatly improves the efficiency and accuracy of the NuSMV tool for model checking of the Simulink-StateFlow model, and realizes the safety verification of the Simulink requirements model of the control system.

A computer-implemented method for verifying a software-based behavior planner of an automated driving function. The method includes: providing a verification environment model to limit the state space of the behavior planner according to a specifiable traffic scene; providing a formal requirement as a criterion for the correctness of decisions of the behavior planner; generating a model checker representation of the behavior planner taking into account the provided verification environment model; analyzing the model checker representation using a model checking procedure with respect to the formal requirement. The verification environment model is used to determine a physically meaningful parameter interval for at least one location parameter and / or movement parameter of the participants of the given traffic scene. The model checking procedure systematically samples the parameter interval and thus checks the behavior planner for a representative selection of the possible temporal and spatial developments of the given traffic scene.

The technical scheme of the invention discloses a ship model checking method which is used for checking a ship model after completion and can be used for identifying the line type of an unknown model. The three-dimensional scanning technology is utilized, the size is small, flexibility is achieved, the scanning dead angle is small, the recognition speed is high, and the precision can reach 0.1 mm and is far higher than that of a clamping plate; and the cost is low and the efficiency is high. A three-dimensional scanning technology is utilized to scan a 10m ship model for about 2-3 hours, and relative errors can be directly output, while a cardboard inspection method needs at least 3 days from drawing a cardboard layout to completing inspection of a ship model, and deviation of each position cannot be output. According to the method, the three-dimensional scanning technology and special software are utilized, the molded line of the scanned model can be directly output, the method can be connected with three-dimensional design software, and a reliable means is provided for a designer to reversely recognize the molded line of an unknown ship model.

The invention relates to the technical field of artificial intelligence, and discloses a model check point file management system which comprises a data downloader, a metadata storage system, a local storage system and a remote storage system. The data downloader is used for receiving a check point file acquisition request and sending a metadata acquisition request for acquiring a storage address of a first check point file to the metadata storage system; the metadata storage system is used for querying first metadata corresponding to the first check point file according to the metadata acquisition request and sending a first storage address to the data downloader; the data downloader is used for acquiring the first check point file from the remote storage system according to the first storage address and storing the first check point file to the local storage system; the local storage system is used for returning the first check point file to the first training task. According to the method, massive check point files can be stored, the storage performance is optimized, and reliable operation of model training tasks can be guaranteed.

The present invention discloses an acceleration method and system for Chisel bounded model checking based on control flow and data flow information, belonging to the field of formal verification of hardware design. The method includes: compiling the program to be verified to obtain the FIRRTL intermediate representation during the compilation process and the FIRRTL abstract syntax tree of the program to be verified; obtaining the branch structure information of the program to be verified according to the FIRRTL abstract syntax tree; combining the FIRRTL abstract syntax tree to perform assertion-based slicing on the program to be verified and retain the FIRRTL intermediate representation related to the assertion; generating a transition system S based on the FIRRTL intermediate representation related to the assertion; and performing detection on the program to be verified based on the transition system S and the branch structure information. The present invention can accelerate the BMC verification process of the hardware design generated by Chisel by utilizing the control flow and data flow information in the program.

The present invention provides an STPA method and apparatus for accurate identification of a loss scenario. The method comprises: defining the purpose of the analysis, comprising identifying of a loss; modeling a system state machine using a finite state machine; identifying an unsafe control action using the identified loss and the modeled system state machine. The method according to the present invention achieves accurate and efficient identification of loss scenarios of a complex system using state machines and model checking techniques.

A hierarchical controller synthesis method based on dynamic quantization under a linear sequential logic specification belongs to the field of nonlinear system control technology. First, a model checking algorithm is used to obtain an acceptable path for the linear sequential logic specification, providing a high-dimensional solution for the controller synthesis problem. Second, a quantization interval is generated based on a dynamic quantizer to verify the implementation of the acceptable path. Finally, a local abstract controller is obtained by solving the auxiliary control problem. This local abstract controller is refined to obtain a local hybrid controller, which is then combined into a global hybrid controller. Applying this controller to the original system enables it to satisfy the given linear sequential logic specification. The abstract model construction and controller synthesis adopted in this invention are both local and dynamic, thus effectively reducing computational complexity. Since each quantization space can be considered independently, the proposed hierarchical mechanism is more effective than existing methods in solving larger and more complex problems.

The invention discloses a Modelica model automatic generation Agent development method based on SysPhS, and belongs to the field of system engineering and AI based on models. Aiming at each core component in the electric vehicle system, extracting each component, a corresponding port and a connection relation through an analysis interface by utilizing a SysMLv2 system model; secondly, aiming at the analyzed component S, retrieving each component model matched with the information of the component S in a Modelica model library through an RAG algorithm; according to the RAG semantic similarity threshold value, sorting is carried out from high to low; selecting the component model with the highest sequence, mapping the component model with the highest sequence to a port consistent with the SysMLv2 system model in connection relation through a SysPhS standard specification, and forming a Modelica system model by using all the component models with the highest sequence and the mapped connection ports; finally, inputting the Modelica system model into a model checking Agent for lexical, syntactic and semantic checking, and if an error prompt exists in a checking result, automatically correcting the Modelica system model and re-checking the Modelica system model; and otherwise, outputting the final Modelica system model. According to the invention, the accuracy, consistency and efficiency of model generation are improved.

The application belongs to the technical field of integrated circuit testing, and discloses a kind of online test method for many-core network on chip based on software self-test, comprising the following steps: step 1: using bounded model checking to automatically generate test vector for software self-test method;Step 2: using Monte Carlo simulation method to solve the selection problem of test data packet configuration;Step 3: increase multi-thread mechanism in Monte Carlo simulation process.The application can not only realize high test quality, but also reduce test overhead.In addition, the application carries out online test in the functional mode of many-core network on chip, which can effectively avoid the untestable turn of data packet in the functional mode, thereby avoiding the problem of excessive test.

The invention provides a model checking method and device, which are used for realizing parallel checking of models when equipment verification is carried out, so that the verification efficiency is greatly improved. The method comprises the steps that a model set is obtained, the model set comprises a plurality of coding models, and the coding models are divided into coding models which do not have a dependency relationship in the Tick dimension of a clock beat and can also be called discontinuous models in the Tick dimension and coding models which have a dependency relationship in the Tick dimension and can also be called continuous models in the Tick dimension, the dependency relationship is that an execution sequence among the models meets a Tick continuous increasing sequence when the models are executed; the model set is subjected to model checking, a model checking result is obtained, the model checking result is used for representing whether the multiple coding models comprise the coding models which do not pass verification or not, and in the model checking process, the model checking process comprises parallel model checking on the multiple coding models which do not have the dependency relationship in the Tick dimension.

The present invention discloses a BIM model checking method and device integrated with multiple computing units. In a SPARQL checking statement process generated based on an SNL rule, multiple target component variables are extracted from the SNL rule to form a component variable tuple; result marking is performed according to the rule type of the result part in the SNL rule; the component variable tuple is added to the query header of the SPARQL checking statement; in a process of querying a building semantic model, two component variables involved in the current computational rule are obtained from the component variable tuple, component entity tuples corresponding to the two component variables and component entity tuples corresponding to the component variable tuple are queried from the building semantic model, and each component entity tuple is associated with the component entity tuple and saved; the component entity tuple is calculated based on the current computational rule to determine the target component entity tuple, and the target component entity tuple corresponding to the target component entity tuple is queried; and based on the result marking, a final query result is obtained from the target component entity tuple.

The invention discloses a class model inspection method, electronic equipment, a storage medium and a product. The method comprises the steps of obtaining context information of a target micro-service application in response to a class model check request from a client; performing class model compliance check based on the context information to generate a corresponding error check result; wherein the class model compliance check comprises at least one of the following items: class member reference validity check, interface and abstract method implementation integrity check, technical suite compatibility check, class name uniqueness check and request path uniqueness check; sending an error checking result to the client for visual display; receiving a correction instruction from the client; the correction instruction is associated with a target error item in the error checking result; and executing a response operation corresponding to the correction instruction. According to the scheme, the multi-dimensional compliance check is executed based on the micro-service context, and the class model design quality and efficiency are improved through visual interaction and intelligent response.

The application provides a method and system for converting heterogeneous model files based on UML specification, comprising: parsing a current engineering file; analyzing the current engineering file; judging whether the current engineering file has a referenced engineering which has not been converted; judging whether the current engineering has been converted, if not, converting to the next step; if yes, judging whether it is a main engineering, if yes, ending the file conversion; if not, setting a previous converted engineering of the current engineering as the current engineering, converting to step three; performing model checking on the current engineering file; creating an empty target engineering file; extracting data from the current engineering file to create a target engineering file resource object and model data; verifying and optimizing the target engineering and model; recording a conversion log and converting to step four. The technical scheme of the application solves the technical problem that the interoperability and standardized transmission of data and models between different modeling tools are poor in the prior art, which affects the efficiency and quality of the whole design process.

This invention provides a method for automatically modeling a three-dimensional model of a composite pressure vessel. This method, which belongs to the technical field of composite pressure vessel design, utilizes Gmsh software to implement a complete automated process, from importing two-dimensional coordinate data, geometric transformation and three-dimensional body generation, physical grouping, meshing, and information output to model verification and correction. This method accurately and rapidly constructs a three-dimensional model of a composite pressure vessel and extracts key information, providing a reliable foundation for subsequent finite element analysis. Compared with existing technologies, this method offers advantages such as efficiency, accuracy, flexibility, and scalability, making it suitable for the design and analysis of composite pressure vessels in fields such as aerospace, energy, and chemical engineering.

The invention discloses a BIM + AR-based digital integrated construction method for ocean platform reconstruction, and the method comprises the following steps: S1, investigating an operation environment, and carrying out the three-dimensional scanning operation of a platform construction region through a three-dimensional laser scanning instrument according to a field actual environment; s2, the scanned point cloud data is processed, and reverse modeling is carried out; s3, performing model check analysis, data matching and collision analysis; s4, the collision analysis is evaluated, and if no collision exists, digital integrated prefabrication processing design is carried out, and the land prefabrication proportion is increased; s5, automatic prefabrication construction is carried out; s6, installation and connection are carried out; s7, the digital technology is debugged, and debugging work is carried out; and S8, digital delivery is carried out, and project completion is realized. According to the digitized integrated construction method for ocean platform reconstruction based on BIM + AR provided by the invention, the land prefabrication rate and the construction efficiency are improved, and the cost is saved.

The invention relates to the technical field of computers, and provides a response text generation method and device, electronic equipment and a storage medium. According to the method, the speculative time steps are generated through the speculative model, and the parameter quantity of the speculative model is smaller than that of the target model, so that the speculative model can quickly generate a plurality of speculative time steps compared with the target model, and the calling times of the target model are equivalently reduced; and the calling frequency of the target model is reduced to about 1 / 3 of the original calling frequency, so that the response efficiency of the target model is improved. Besides, the target model and the process reward model are used for checking the speculation time step output by the speculation model, so that the quality of the finally output speculation time step is close to the level of independent reasoning of the target model, and the correctness of the response text is ensured.

The invention discloses a multi-agent system modeling and verification framework based on cognitive process calculation, and aims to solve the problems of inaccuracy and incompleteness of multi-agent system modeling and verification in the prior art. According to the method, firstly, a multi-agent system is modeled by adopting value transmission process calculation, and a cognitive concept is introduced, so that a novel cognitive process calculation (EPC) is constructed for formally describing agent behavior interaction and cognitive states; on the basis, alternating time sequential logic (ATL) is expanded, and novel cognitive alternating sequential logic (ATLE) is formed and used for expressing complex attributes related to the cognitive state of the intelligent agent. The invention further provides a model checking algorithm aiming at the ATLE specification, the state space of the multi-agent system can be systematically explored, and whether the specified attribute is met or not is evaluated. According to the invention, the feasibility and practicability of the proposed framework are verified through case research of cooperative attack of the unmanned aerial vehicle. According to the method, a more accurate and comprehensive tool can be provided for modeling and verification of the multi-agent system, a reference is provided for design and optimization of the multi-agent system, and a quantifiable basis is provided for task scheduling, resource allocation and strategy selection.

To execute model inspection for a model whose internal configuration includes an unknown component.SOLUTION: A model inspection device comprises: a model acquisition unit that acquires a state transition model making a state transition between a plurality of components; a partial feature quantity acquisition unit that acquires a partial feature quantity determined in advance for the components; an entire feature quantity calculation unit that calculates the entire feature quantity of the state transition model on the basis of the partial feature quantity for every component; and an inspection execution unit that inspects the state transition model on the basis of the entire feature quantity.SELECTED DRAWING: Figure 9