52 results about "Model checking" patented technology

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 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 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 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.

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 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 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.

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

Methods and systems are provided for performance optimization of object grouping patterns in storage devices. The methods include receiving object IOs for a target device; grouping the object IOs using a first plurality of input parameters; associating tracking parameters with the first plurality of input parameters and performance parameters corresponding to the first plurality of input parameters; storing first data entries comprising the tracking parameters, the first plurality of input parameters, and the performance parameters in a database; extracting a plurality of data entries from the database, the plurality of data entries including the first data entries; training a training model using one or more of the plurality of data entries; cross-validating the training model to determine a degree of error reduction of the training model; performing a model check to compare the training model to an inference model; and updating the inference model based on the model check.

The application discloses a code automatic generation method based on a SysML model, belongs to the technical field of computers, and comprises the following steps: 1, according to the SysML specification, performing multi-level model checking on the established SysML model, and ensuring that the SysML model is legal and effective; 2, performing conversion and analysis on the SysML model according to the established model content file and in combination with various views in the model; 3, performing component definition and management; 4, constructing a standardized code mapping template; and 5, performing hierarchical code automatic generation to generate final target language code. The application can unify and cooperate the MBSE and MDA methods, provides a specific means for the realization of the SysML model, effectively reduces the model design and development difficulty, improves the design and development capability of the SysML model in the MBSE method, and guarantees the efficiency and quality of the system model development and realization.

The application discloses a model checking quantity determination method, device and equipment, and the method comprises the following steps: obtaining model information and checking parameters corresponding to a plurality of three-dimensional models respectively; classifying the plurality of three-dimensional models according to the model information, and determining a plurality of model sets; determining the similarity and complexity between the plurality of three-dimensional models according to the model information; and determining the checking quantity for indicating the quantity of to-be-checked models in each model set according to the checking parameters, the similarity and the complexity. The application adopts unified checking parameters to determine the checking quantity of different types of model sets, adopts a unified sampling standard to determine the checking quantity of each type of model, avoids the waste of operation resources and time cost caused by manual participation, and improves the accuracy of model sampling.

The application discloses a heat pipeline leakage monitoring system based on soil environment real-time monitoring, which comprises a leakage monitoring sensor, a heat conduction characteristic database, a data processing module and a preplan control module; a heat conduction model is established based on a heat pipeline leakage monitoring method of soil environment real-time monitoring, and model checking identification and leakage type pre-judgment are carried out according to digital twin soft measurement and real-time acquisition of temperature data; an AHP hierarchical analysis method is adopted to construct a hierarchical structure model for deductive analysis, to confirm the leakage category and the leakage point and to show them on a GIS map, and to generate preplan control instructions to preplan and control the Internet of Things equipment in the leakage point area; the application can collect temperature sensing data in real time through the leakage monitoring sensor buried outside the heat pipeline, accurately evaluate and pre-judge the real-time leakage monitoring of the heat pipeline by combining a simulation model, quickly identify the leakage type and the leakage point and make emergency preplan control, and improve the efficiency and accuracy of heat pipeline leakage monitoring.

The application discloses a kind of distribution network single-line diagram model checking comprehensive display method and tool, the method includes: step S1: opening single-line diagram and carrying out display in visual way;Step S2: show diagram module checking result, according to the checking result list fed back by diagram module checking background service, according to semantic checking, data integrity checking, diagram module consistency checking, topological connectivity checking, non-examination equipment list classification display;Step S3: checking result auxiliary data repair.The application provides a kind of visual method and tool to intuitively show diagram module checking result, can be positioned to the specific object in single-line diagram by result reverse, to avoid consuming a lot of manpower according to problem list to analyze and investigate problem, realizes the efficient and accurate problem single-line diagram repair.

The invention discloses a storage method of a model check point, which is applied to persistent storage of the model check point in the field of artificial intelligence (AI). According to the storage method of the model check points, the operation of updating model parameters in the model training process is deployed on a central processing unit (CPU) to be executed, and the updated model parameters can be reserved after the CPU executes the operation of updating the model parameters. Thus, during the period that the accelerator continues to execute model training based on the updated model parameters, the CPU can store the reserved model parameters in the target storage medium at the same time, persistent storage of the model parameters can be achieved without interrupting the training process, and normal training of the AI model is prevented from being affected.

The invention relates to the field of AI. The invention particularly relates to a model compression method and related equipment. The method comprises the steps that in the process of training a target model, a model compression device obtains model check points of the target model at multiple moments, and the model check points at the first moment comprise weight parameters and optimizer momentum parameters of the target model at the first moment; the multiple moments comprise a first moment; the model compression device determines residual errors between the weight parameters at the multiple moments and corresponding reference weight parameters so as to obtain the residual errors of the weight parameters at the multiple moments; and the model compression device performs joint compression on the residual error of the weight parameter at each moment and the optimizer momentum parameter at each moment in the weight parameters at the multiple moments to obtain compression results at the multiple moments. By adopting the scheme, the overall compression ratio can be improved.

The invention discloses a method for automatically exporting an AM model, and relates to the technical field of ships, and the method comprises the following steps: S1, file configuration: configuring plug-in files for AM software, including configuring an objects file, configuring a Function file and configuring a Forms file; s2, plug-in loading: loading a plug-in in AM software to realize a function of checking a ship model by using Navisworks software; and S3, a use process: exporting the RVM format file through AM software, and realizing conversion and viewing of a model file by using an additional model function of Navisworks software. According to the method for automatically exporting the AM model, secondary development is carried out on the AM model through the PML, so that the ship model can be smoothly checked by using Navisworks software under the condition that an AM environment is not installed, the model checking efficiency is remarkably improved, the operation is simple and easy to learn, the model can be quickly searched, the distance can be quickly measured, interference check can be quickly carried out, and meanwhile, viewpoints can be conveniently marked during model review.

A computer-implemented system for monitoring the functionality of an automated driving function of a vehicle using sensor information from at least one sensor includes a software model of the automated driving function, a sensor performance model for the at least one sensor, a sensor monitoring module, which determines performance parameters and monitors the performance of the at least one sensor, an update module for updating the at least one sensor performance model based on the performance parameters determined, and a model checking module for analyzing an overall model comprising a combination of the software model and the at least one sensor performance model.

The application discloses a conversion method and system from RSML ‑e model to Luster synchronous data flow language. ‑e The method converts RSML ‑e model into Luster, which involves type conversion, Boolean expression conversion, and-or table conversion, variable conversion, macro conversion and function conversion. Type conversion handles undefined values by creating enumerations and structs. Boolean expression conversion includes truth judgment, logical negation, previous state reference and equality judgment. and-or table conversion constructs sub-expressions by columns and connects them with logical or. Variable conversion is converted into Luster nodes, and ordinary variables and input variables are processed with initial values and conditions respectively. Macro and function conversion are converted into nodes with input and return values, and the contained logic is converted into Boolean expressions. The overall process realizes the mapping of RSML ‑e logic to Luster data flow, so that the safety properties of the system can be verified using model checking tools, improving system security.

The invention relates to the technical field of automobile design, in particular to an automobile part three-dimensional model generation system based on language processing. Comprising a language input module, a voice-to-text module, a natural language analysis module, an automobile part knowledge graph module, a design rule matching module, a CATIA interface driving module, a three-dimensional model generation module and a model verification and output module. Through full-process automation of language input and automatic modeling, modeling time is shortened, design time consumption is reduced, information is accurately extracted by means of natural language analysis, a knowledge graph and a model verification module, reasonable parameters are ensured, demand conversion errors and rework cost are reduced, knowledge is stored and updated in a centralized mode in the knowledge graph, a historical case module excavates a rule, and the modeling efficiency is improved. The design threshold and the talent cost are reduced, the cooperation efficiency is improved through the user interaction module, the historical case module is continuously optimized, the analysis and matching precision is improved, novel part design is adapted, and support is provided for long-term upgrading of automobile design.

The invention relates to the technical field of medium-thickness plate production and hot working, in particular to a medium-thickness plate initial temperature field modeling method based on implicit difference and temperature gradient, which comprises the following steps: step 1, initializing a temperature field based on temperature self-organization characteristics; step 2, adopting implicit difference to solve a heat conduction equation, taking the temperature field generated in the step 1 as a starting point, generating a gradient field through iterative air cooling simulation, introducing a Crank-Nicolson implicit difference algorithm to solve the heat conduction equation, breaking through CFL condition limitation of explicit difference, and achieving unconditional convergence calculation of the temperature field; 3, verifying and correcting the model; and 4, performing adaptive output of the temperature field. According to the method, the iterative initial field is constructed by utilizing the temperature self-organization characteristic, the implicit difference algorithm is introduced to break through the calculation limitation, and the precise modeling of the initial temperature field of the medium-thickness plate is realized in combination with a dynamic verification correction mechanism.

The scheme discloses a kind of complex system component modeling method based on data driving and related product, wherein the steps of the method include: complex equipment system component modeling and combat process constraint description;Combat process data and complex equipment system component modeling associated combat equipment system are analyzed by co-simulation, and the analysis results such as model checking, knowledge matching and conflict resolution of real combat process data and simulation data are obtained.The scheme can schedule the bottom equipment component model under the atomic behavior component model, thereby improving the behavior modeling efficiency and enhancing the reusability of atomic behavior component model.At the same time, based on the combat process constraint described by description logic, the model checking, knowledge matching and conflict resolution of real combat process data and simulation data are used to realize model confidence evaluation, constraint relationship analysis, rule matching analysis and model optimization.

The application relates to a nuclear power plant conventional island digital design model progress review method, device and system, the method comprising the following steps: receiving three-dimensional model data sent by each design professional terminal; performing automatic collision checking according to the three-dimensional model data; and feeding back model checking results to the related design professional terminal, so that the arrangement cooperation between the professionals in the design process can be realized, the cooperation between the nuclear power plant conventional island model professionals in the design is improved, the design product quality is improved, the drawing progress and the construction progress are guaranteed.

The application relates to an API controller-based instruction issuing method, which comprises the following steps: a client sends an HTTP request to an API controller, the request containing the address of a registered API and an input model; the API controller locates the corresponding API according to the API address, and distributes the API and the input model to a protocol adapter; the protocol adapter first calls a model checker, checks the input model according to a model checking scheme bound in the API, and distributes the input model to a model analysis executor; the model analysis executor analyzes the input model, assembles an instruction set or a message according to an instruction set scheme or a message scheme bound in the API, and issues the whole set of instruction set or message to a specific device or a proxy machine at a time to generate a response code; the model analysis executor calls a rollback executor to analyze the response code, returns corresponding issuing success information according to the analysis result, or extracts a rollback instruction set according to a rollback scheme bound in the API to perform corresponding rollback issuing operation.

A method of model checking a PLC algorithm inscribed in a graphical programming language and a method for automatic test case generation and model-based testing of the PLC implementing these PLC algorithms are provided. The model checking method includes converting the functional block diagram algorithm into a functionally-equivalent formalized functional block diagram algorithm. The method includes model checking the functionally-equivalent formalized functional block diagram algorithm. The verified PLC algorithm is a functional block diagram algorithm including discrete-time deterministic function blocks. The verified PLC algorithm can be then downloaded into a target PLC and periodically executed. The test case generation method includes predefined testable behaviors (unit tests) of each function block and combination of compatible unit tests to valid test cases according the assume-guarantee principle. The resulting test scenarios and test cases are used for model-based grey-box testing in MIL, SIL and HIL testing of the PLC implementing these PLC algorithms.

Provided is a computer-implemented method for generating a dynamics model of a system. The method comprises generating the dynamics model, optionally including an IMC, by determining unknown dynamics of the system using a predetermined kernel-based method designed for regression and / or classification, optionally BTGP regression. Generating the dynamics model comprises computing probability bounds for each transition or multiple transitions of the dynamics model by obtaining transition probability distributions from the kernel-based method that are amenable to a predefined model checking algorithm, and determining an abstraction error of the model based on the computed probability bounds.

The application discloses a kind of cooperation logic verification methods of multi-agent system, belong to artificial intelligence and formal verification technical field, to solve the technical problems in the cooperation logic verification of existing multi-agent system (especially multi-agent system), traditional simulation test exists scene coverage is not complete, deep logic defect is difficult to find, and existing formal verification method is poor in adaptability, prone to state explosion, conflict positioning is fuzzy, lack of repairable suggestion.The method is standardized formal modeling to multi-agent system, cooperation target and constraint condition are defined, and the correctness of cooperation logic is verified into a computable model checking problem, multi-dimensional verification is realized by combining theorem prover and model checking tool, and the conflict is accurately positioned for the verification failure scene and the repairable suggestion is provided, and the verification accuracy and efficiency are considered by means of distributed verification, abstract dimension reduction and other optimization methods.