70 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.

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.

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 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 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.

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.

An embodiment includes detecting an explainer model check by a system. The embodiment includes responsive to the detecting the explainer model check, computing a first result by a Data and Model Preparation of the system wherein the first result is based on a first dataset and a second data set generated by the Data and Model Preparation. The embodiment includes generating a second result by an explainer model of a Prediction and Explanation of the system based on the first dataset and the second data set. The embodiment includes computing a difference metric between a first result and a second result by a Judgment Retraining of the system. The embodiment also includes training the explainer model based on the difference metric.

The present invention discloses a Secure Tropos-based method and system for generating multiple security requirements for a petroleum refining system. This method, which belongs to the field of security engineering, analyzes the dependencies and security threats between system functional modules involved in the entire process of a petroleum refining unit, targeting its security protection objectives. The method also analyzes the structure and data interaction types of the petroleum refining unit to establish a security entity and data interaction model. The method analyzes data flow and control flow characteristics to determine corresponding functional requirements, and derives security constraints based on the security protection objectives. The established security entity and data interaction model is then subjected to model checking, automatically generating an inspection report. The report content is then analyzed for security constraint violations to determine public and special security requirements. This invention can rapidly generate high-quality security requirements for petroleum refining units that meet functional requirements and relevant standards, significantly improving efficiency, effectiveness, and accuracy.

The present invention discloses a method for constructing a three-dimensional model of a lens, which relates to the technical field of three-dimensional geological modeling. The method comprises reading spatial data and geological data; marking the number and order of exposures of each lens lithologic segment and calculating the maximum horizontal boundary; generating an initial three-dimensional model of each lens lithologic segment; regenerating the three-dimensional model to adjust the lens size; performing model checking and regenerating the three-dimensional model; providing a list or screening each lithologic segment of a lens of the same lithology, selecting the lithologic segments to be merged, generating inner and outer boundaries located on the top and bottom surfaces of the lens; generating the top and bottom curved surfaces of each lens; determining an interpolation function and function parameters in space and generating side curved surfaces, ultimately forming a three-dimensional model after assembly; performing model checking and regenerating the three-dimensional solid model. The present invention combines automated modeling with manual intervention to significantly improve the accuracy and geological authenticity of the lens three-dimensional model.

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.

The invention discloses an electromechanical transient simulation model checking method, equipment and a product, and relates to the field of power system simulation model checking, and the method comprises the steps: carrying out the data screening of the obtained actual measurement data of target electromechanical equipment through employing an inflection point algorithm, obtaining the actual measurement screening data, determining a fault starting moment and a fault ending moment, and carrying out the verification of the fault starting moment and the fault ending moment; marking the actually-measured screening data by using the fault starting moment and the fault ending moment to obtain actually-measured marked data; and checking the obtained simulation data of the electromechanical transient simulation model and the obtained actual measurement mark data to obtain a check file. According to the method, the checking precision of the electromechanical transient simulation model can be improved while the checking working efficiency of the electromechanical transient simulation model is improved.

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 embodiment of the application provides a kind of check method and device of functional unit model in simulation system, and the automatic verification of simulation model is realized by constructing model checking platform.Innovatively designed cross-compiler technology converts simulation model into functional unit model file, and establishes the mapping mechanism of structured variable and flattening variable.The system executes model checking in virtual machine environment, not only compares numerical deviation, but also analyzes the change trend between adjacent steps, realizes multi-dimensional accuracy verification.The method breaks through the limitation of traditional manual checking, and provides a systematic and automated solution for simulation model verification.