29 results about "Software emulation" patented technology

The invention discloses an industrial simulation control method and system based on natural language driving, and belongs to the technical field of industrial simulation. According to an existing industrial simulation control scheme, how to transmit simulation parameters into simulation software is not disclosed, and setting of simulation instructions cannot be completed. According to the industrial simulation control method based on natural language driving, a natural language instruction input by a user is analyzed by constructing a simulation language recognition model, an interaction channel creation model and an instruction mapping model, and a simulation driving channel is established between industrial simulation software and the simulation language recognition model; standardized transmission and cross-platform data interaction of data and commands are realized, and instruction transmission and data sharing are facilitated; and further based on the instruction protocol conversion relationship, the operation command is converted to obtain the execution message, so that automatic setting of different software simulation instructions can be realized, the compatibility and integration problems among different simulation platforms are effectively solved, and the user experience is improved.

The invention provides a glass bottle lightweight forming process optimization system, belongs to the technical field of glass product production, and solves the technical problems that the existing lightweight glass bottle is low in forming efficiency, process parameters cannot be dynamically adapted and the like. Comprising a hardware execution module, a global data sensing module, a digital twinning optimization module, an enterprise-level cloud management module and a man-machine collaborative operation and maintenance module. The global data sensing module comprises an equipment three-dimensional information scanning and collecting unit, an equipment working state sensor network unit, an energy consumption and resource monitoring unit, a data transmission unit, a data storage unit and a carbon footprint accounting unit; the digital twinning optimization module comprises a virtual simulation unit, a software simulation optimization unit and a dynamic feedback optimization unit. According to the invention, an integrated process optimization system integrating an intelligent algorithm, digital twinning, green carbon reduction, flexible production, full-dimensional detection, predictive maintenance and man-machine collaboration is adopted, and efficient, accurate, green and flexible production of lightweight glass bottles is realized.

This application relates to the technical field of voltage regulation function testing for power banks. It discloses a voltage regulation function simulation testing system and method. This application constructs a voltage regulation function simulation testing system including a simulation clock and a simulation cycle counter. At the software level, it directly simulates the passage of time and the accumulation of charge-discharge cycles during long-term battery use based on user-configured test parameters. The core algorithm layer uses simulation time and / or the number of simulated full-charge cycles to simulate the charging voltage of the power bank over time and the accumulation of charge-discharge cycles, thus completing the voltage regulation function simulation test of the power bank. This method of completing the voltage regulation function simulation test of a power bank through software simulation algorithms greatly reduces the physical testing time required without changing the physical testing environment or replacing the tested object. This significantly shortens the testing cycle while ensuring the test results accurately reflect real-world usage scenarios and have high reliability.

The application provides a process engine-based autonomous operation method and system for an interoperability verification task, a virtual-real combined simulation environment is constructed by including field equipment operation data, laboratory scaled component state information and a software simulation model, an actual operation scene of a road electromechanical equipment interoperability mechanism is simulated, an interoperability verification task is generated according to a preset verification requirement parameter set, a process engine is called to analyze the task and plan an execution process, the task is executed in the virtual-real combined simulation environment according to the execution process, message transmission data, state response data and time synchronization data in the equipment interaction process are collected in real time, interoperability verification results including interaction message integrity description, state response consistency record and time synchronization accuracy description are generated based on the message transmission data, the state response data and the time synchronization data, so that the verification task can be autonomously planned, and a comprehensive and real test environment is provided.

The invention relates to a chip verification method and system based on a double-FPGA architecture, and the method comprises the steps: deploying a verification platform on a first programmable logic device in a hardware circuit form, deploying a tested design on a second programmable logic device, and enabling the verification platform and the second programmable logic device to be interconnected through a hardware interface; the first programmable logic device comprises a control module, an excitation generation module, an expectation calculation module, an evaluation module, an excitation output module and a response input module; in response to external triggering, the control module jumps from idle to start, controls the excitation generation module to generate excitation, and transmits the excitation to the tested design through the excitation output module; the tested design generates a response signal based on excitation and transmits the response signal to the evaluation module through the response input module; the expectation calculation module receives an excitation calculation expectation result and transmits the result to the evaluation module; and the evaluation module compares the response with the expected result to generate a verification result. The method gets rid of software simulation dependence, shortens verification starting time, is close to a real chip use environment, and improves function verification reliability.

The invention discloses a graph processor modeling and analyzing method and device, and belongs to the field of computer system structure aided design. The method comprises the following steps: establishing a unified calculation model decoupled from a storage architecture model; full-link micro-architecture behavior data is obtained through FPGA actual measurement, and a bandwidth constraint model is constructed to determine the optimal parallelism degree of a calculation unit; carrying out closed-loop calibration on bus delay and internal logic parameters of the simulation model by utilizing measured data; and on the calibrated reference model, keeping the optimal parallelism unchanged, and carrying out space evaluation and performance quantitative analysis on various storage architecture schemes. The device comprises an upper computer, an FPGA hardware platform and a communication interface assembly, wherein system-level simulation software and hardware control software are integrated on the upper computer. According to the method, by constructing a software and hardware closed-loop cooperation mechanism, the problems that the degree of parallelism is difficult to reasonably determine and the simulation precision of pure software is insufficient are solved, and high-precision and high-efficiency evaluation of the calculation subsystem and the storage subsystem of the graph processor is realized.

The application discloses a software simulation environment building method, device, medium and program product, and relates to the field of software development. The software simulation environment building method comprises the following steps: obtaining a network resource arrangement instruction; arranging target managed resources according to the network resource arrangement instruction to obtain a target environment network topology; configuring a node image file according to the target environment network topology to obtain a network topology to be instantiated; and performing code testing and verification according to target test code, the network topology to be instantiated and topology node usage state data. The technical scheme of the embodiment of the application can improve the building efficiency of a software development simulation environment and break the strong dependence of simulation environment building and instantiation on manpower.

The invention discloses a job-level parallel performance comprehensive measurement method for a heterogeneous system, and relates to the technical field of performance measurement. Comprising the following steps: obtaining static characteristics, micro-architecture characteristics and job-level operation characteristics of software, and extracting corresponding performance characteristic data; selecting a machine learning model, and setting software simulation data to train and optimize the model to obtain a software performance model; testing the software to generate a throughput curve, and analyzing the throughput curve by using the expandability model to obtain an expandability index; constructing a speed-up ratio model based on the Amdall law; and constructing a measurement model about the performance model, the expandability model and the speed-up ratio model, inputting to-be-predicted software parameters into the measurement model, and weighting generated data to obtain a software comprehensive performance measurement index. According to the method, comprehensive and accurate evaluation on the parallel performance of the software operation in the heterogeneous system is realized.

The invention relates to the technical field of scientific calculation visualization, and discloses a post-processing method and system for a CAE software simulation calculation result, and the method mainly comprises the following steps: (1) reading the CAE software simulation calculation result, and verifying parameters in the CAE software simulation calculation result; (2) analyzing simulation data calculated by the CAE software, and splitting the data into data sets; (3) establishing a mapping relation between the data set and the post-processing visual component; (4) configuring data filters possibly existing in the mapping relation; and (5) the visual interface is edited by utilizing a visual editor according to requirements, so that the assemblies with different functions are combined more flexibly, and the effect of meeting different business requirement interfaces can be quickly formed.

The invention discloses a computing resource adjustment method and device, electronic equipment, a storage medium and a product. The method is applied to a containerized cluster and comprises the steps that a target container pool is created according to a task running request, a software simulation task is deployed to the target container pool, and the target container pool runs the software simulation task; in the running process of the software simulation task, obtaining a task running log of the software simulation task and resource use data of the target container pool, and determining a task running stage of the software simulation task according to the task running log and the resource use data; if the resource usage data exceeds a resource occupation upper limit corresponding to the task operation stage, determining target configuration information corresponding to the target container pool so as to expand the target container pool according to the target configuration information. According to the technical scheme, the effects that the software simulation task is operated based on the containerized cluster, and the container pool resources are dynamically adjusted according to the task operation condition in the task operation process so as to adapt to the resource requirements in the task operation stage are achieved.

The invention discloses a software integration publishing method, system and equipment. The method comprises the following steps: acquiring a software simulation model and a corresponding change file in real time; building and updating the software simulation model based on the change file to obtain a simulation update model; testing the simulation updating model, confirming a preset detection item, compiling and integrating the simulation updating model, and generating a corresponding integrated software package; the integrated software package is released through the continuous delivery port; a software simulation model and a change file are obtained through a Gitlab software system, the software simulation model is constructed and updated, a simulation update model is tested through a Matlab Simulink software system, software integration is carried out after it is confirmed that the simulation update model conforms to a detection item, an integrated software package is automatically generated and released, the software integration release process is simplified, errors caused by manual operation are reduced, and the software integration release efficiency is improved. The publishing efficiency is remarkably improved, mistakenly entering a development environment is avoided, and the stability and reliability of software integration are improved.

The invention discloses a programmable controller comprehensive training platform, which relates to the technical field of industrial automation technology training equipment and comprises a hardware practical training platform and a virtual simulation practical training platform. The power supply module, the core control module, the function debugging module and the communication networking module are integrated on the practical training platform body. The virtual simulation practical training platform comprises simulation practical training software running on computing equipment, and the simulation practical training software performs data interaction with the hardware practical training platform through a communication networking module; the core control module comprises a programmable logic controller, and external input and output wires of the programmable logic controller are led out in a visual open wire mode. The function debugging module comprises electric appliance element units which can be freely combined and is used for being connected with the core control module to construct an actual control system; the objective of the invention is to achieve the purposes that a learner visually cognizes an electrical system, constructs hardware according to needs, and completes PLC system installation and debugging and troubleshooting practical training.

The invention provides a method for designing a neuromorphic computing chip of a mesoscopic olfactory neural network, which can be used for constructing a multi-channel parallel computing and storage and computing integrated neuromorphic computing chip. The technical problems that in existing software simulation, a neural network describing dynamics through a differential equation is poor in expansibility, low in calculation speed, incapable of conducting real-time processing and the like are solved. The method comprises the following steps: step 1, constructing a digital logic calculation model of a K0 model of a Friemann K series set of an olfactory neural network; 2, constructing a nonlinear transfer function of the K0 model; 3, constructing a main state machine and a sub-state machine of the K0 model; step 4, constructing a KI network and a KII network; and step 5, constructing a KIII network.

The invention discloses an image processing chip semi-offline debugging system and method based on data reinjection, and belongs to the technical field of image processing and chip debugging. The system comprises a data source unit, a data reinjection channel, a data transfer and protocol simulation module, an image processing chip, a result capture and feedback unit and a control and automation software unit. The method is characterized in that pre-collected sensor original data are sent to a protocol simulation module through a data reinjection channel, the module simulates real sensor behaviors, the data are packaged into standard data streams, the standard data streams are input into an image processing chip running real firmware, and therefore reproducible, high-fidelity and high-efficiency debugging is achieved on real chip hardware. According to the method, the defects that online debugging is restricted by the environment and the software simulation credibility is low are overcome, automatic parameter tuning, multi-version comparison debugging and regression testing are supported, and the debugging efficiency and the result reliability are remarkably improved.

The invention belongs to a software simulation outdoor riding bicycle sensing system, and particularly relates to an indoor spinning exercise system which is particularly suitable for being used under the conditions that falling and collision risks exist in outdoor riding, and riding cannot be carried out due to weather reasons and the like. The function of the system is a software and hardware system which simulates an outdoor environment through software and exercises indoors. The system structurally comprises a software system and a hardware system, and the software system comprises an outdoor environment display animation APP (101), a riding resistance control program (102) and a riding speed monitoring program (103). The hardware system comprises a software operation display device (1), a signal line (2), a riding resistance control device (3), a power supply (4), a control line (5), a resistor (6), a pedal transmission belt (7), a signal line (8), a pedal wheel (9), a pedal frequency monitoring device (10), a cushion (11), a handle (12), a frame (13), a base (14) and pedals (15).

The invention provides a software and hardware combined simulation system and method, the simulation system comprises a software simulation domain and a hardware simulation domain, the software simulation domain comprises a plurality of processor cores and a software bridge, and the hardware simulation domain comprises a hardware bridge and peripheral equipment. The software simulation domain of the system is responsible for transaction scheduling and global time advancing, the advantage of high simulation speed of software simulation is fully utilized, meanwhile, hardware simulation is carried out on peripheral equipment through the hardware simulation domain of the system, real delay feedback and bandwidth characteristics can be provided, and the hardware simulation speed of the peripheral equipment is improved. The advantage of high simulation precision of hardware simulation is fully utilized, so that collaborative design of simulation precision and simulation speed is realized through combination of software and hardware.

The application relates to a spacecraft intelligent software virtual simulation test scene intelligent generation method, and belongs to the technical field of spacecraft software testing and simulation, which comprises the following steps: an IR structure with rich semantics is defined in advance; through a preset structured prompt word, a large language model LLM is called to recognize and extract task targets, entities, behaviors, environments, constraints and disturbance elements in natural language instructions; the LLM analyzes the extracted elements into nodes, node attributes and time sequence relationships, logical relationships and hierarchical relationships between the nodes in the predefined IR structure, generates a structured IR; a generated IR JSON file is loaded, and according to a preconfigured conversion rule library of the IR structure to a scene description language, the structured IR is converted into an executable simulation script; a simulation engine analyzes and executes the script, and instantiates a specific and high-fidelity test scene. The problems of low automation, high professional threshold and poor scalability in the simulation test of spacecraft intelligent software are solved.

The invention discloses a simulation method and device of a digital circuit, equipment, a storage medium and a product. The simulation method comprises the steps of obtaining hardware design description information of the digital circuit; in a simulation compiling stage of the circuit, according to the hardware design description information and the deep learning framework, generating a simulation execution program and a library file corresponding to the deep learning framework; acquiring boundary signal data input by a user for the digital circuit; and in the simulation operation stage of the circuit, the simulation execution program is operated according to the boundary signal data and the library file, and a simulation result corresponding to the circuit is obtained. According to the technical scheme, on the premise that accuracy is guaranteed, the software simulation process of the large-scale combinational logic circuit is remarkably accelerated, and the development difficulty and maintenance cost of a simulation tool are reduced.

This invention relates to the field of CAE software simulation and analysis technology, and proposes a simulation method and system for HGIS equipment considering multi-physics coupling. The method includes: establishing a 3D model based on the CAD drawings of the HGIS equipment; conducting single-physics simulation, acquiring and matching a baseline dataset and an adjusted dataset, obtaining the coupling level of each unit based on the matching results, and adjusting the mesh; performing a first interpolation and a second interpolation on the baseline and adjusted datasets, and iteratively optimizing the second interpolation until the accuracy requirements are met; and obtaining the simulation results of the HGIS equipment based on the iterative optimization results. This invention can improve the accuracy of data interpolation results for different physical fields, thereby improving the reliability of HGIS equipment simulation results.

The invention relates to a deep learning acceleration core, in particular to a front-end simulation system and method for the deep learning acceleration core, and a decoding module, which decodes an external test set according to different requirements of software and hardware platforms; the hardware field recovery module is used for determining a hardware simulation starting point according to parameters input by a user, and recovering a hardware simulation field to an initialized state when full-process simulation needs to be carried out; when simulation needs to be started from the synchronization point of the sync instruction, a hardware simulation site is recovered to a position close to the sync instruction; the hardware simulation result output module is used for outputting the type of the current instruction and the corresponding program counting PC to a screen in real time when hardware simulation is carried out, and outputting a hardware simulation result; the software simulator and the result processing module are used for carrying out parameter configuration on the software simulator and outputting a software simulation result; according to the technical scheme provided by the invention, the defects of low efficiency and difficulty in quickly positioning error instructions in the prior art can be effectively overcome.

This application relates to a software and hardware co-verification method, apparatus, electronic device, and medium for a VPU. The method includes: automatically generating multiple test cases according to preset constraints using a control script, each test case containing configuration data and video source data; inputting the test cases into a C model to generate a reference bitstream; inputting the test cases into a field-programmable gate array (FPGA) to generate a hardware bitstream; if the reference bitstream and the hardware bitstream are inconsistent, the test case is considered a failed test case; and executing the failed test case back in a software simulation environment to generate a simulation bitstream for in-depth debugging based on the simulation bitstream.

The invention relates to the technical field of single-particle simulation acceleration, in particular to a single-particle simulation acceleration method based on an FPGA, and the method comprises the steps: carrying out the system segmentation; performing register error injection; calibrating the fault model; constructing a fault mode database; inserting a fault injection module; performing FPGA mapping verification; fault injection simulation based on the FPGA; and carrying out data statistics and analysis. According to the method, efficient fault injection is realized through system segmentation adaptive FPGA hardware parallel architecture, combination of fault model calibration and physical scene alignment and by-pass circuits. According to the method, the bottlenecks of time explosion of traditional software simulation and resource scarcity and chip vulnerability of irradiation testing are broken through, the single event effect evaluation period of a large-scale system is compressed to the hour level through the FPGA hardware acceleration characteristic, and the requirement for rapid verification of an integrated circuit under the advanced technology is met. Fault model parameters are calibrated through maximum likelihood estimation and Bayesian updating, the randomness of a real single-particle event is simulated in combination with a Poisson process, and it is ensured that a simulation result is highly consistent with a physical experiment.

The invention belongs to the technical field of communication network simulation training, and discloses a virtual-real combined multifunctional communication network simulation training method and system. Existing communication simulation training mainly depends on all-physical simulation training or pure software simulation training, however, a physical simulator is large in size, many in connecting lines and high in maintenance cost, and pure software simulation training lacks physical interfaces and cannot provide real operation feeling. The simulation training method comprises the steps of registering a simulator and configuring network parameters, cloning the virtual simulator, establishing communication connection, carrying out training scene layout, carrying out communication service simulation training and recording and replaying a communication service simulation training process. The real object simulator, the simulation simulator and the virtual simulator are integrated, the reality sense of key operation is guaranteed through a virtual-real combination mode, large-scale and complex scene simulation training is achieved through the flexibility of software simulation, and the defects that real object training is high in cost and pure software training is poor in operability are overcome.

The application discloses a kind of HIC function verification method and verification device, mature EMC module of function is placed in the FLASH space of CPU subsystem on original SOC verification platform, it is configured as the external host of HIC module, to quickly build the function verification platform of HIC module, without additional chip.VCS command is used to carry out syntax check and instantiation to HIC function verification platform, VCS_run command is executed to load simulation file and test routine execution function simulation, and simulation result is checked using verdi command, so that the RTL code of HIC module can be modified when bug or other errors occur, reedited and simulated again, the whole process is carried out in software simulation, avoiding the time consumption of FPGA process, the interaction function of HIC module and external host and the function interaction of internal resource of SOC system are verified simultaneously in real and complete SOC environment.

The invention discloses a power station boiler fireman examination system based on hardware interaction, and mainly relates to the technical field of power station boiler operation simulation. Comprising a hardware interaction module which is provided with a boiler physical model which is scaled down in proportion and an electric cabinet which simulates the layout of a central control room, and collects a physical operation instruction through a PLC; the software simulation module is used for restoring operation interfaces and parameters of all systems of the boiler according to the ratio of 1: 1; the data processing module calculates and feeds back operation parameters in real time based on a built-in algorithm model; and the intelligent evaluation module is used for automatically comparing operation steps according to a standard process and carrying out multi-dimensional intelligent scoring. The system has the beneficial effects that high-simulation, full-scene and strong-interaction practical operation assessment is realized, real operation and fault handling are simulated in a safe environment through hardware linkage and software real-time feedback, and by means of an intelligent assessment system, assessment process precision and scoring automation are realized, so that the assessment efficiency is improved. And the efficiency, the safety and the fairness of fireman training and examination are effectively improved.

This invention relates to the field of software simulation control technology, specifically to a smart screen software control system and method based on distributed seat management. The invention includes: a scenario virtualization module for receiving real-world state data or simulation simulator running data and constructing a virtual copy; an adaptive strategy execution module for extracting scenario evolution trend vectors from the virtual copy, determining scenario state classification, and generating a dynamic instruction set; a distributed virtual environment coordination module for receiving the dynamic instruction set, adjusting the user interface, and managing user interaction permissions; a simulation management module for controlling the simulation simulator process and synchronizing simulation simulator running data to the scenario virtualization module; and a unified interaction module for switching operating environment modes and states and constraining user interaction operations based on permission change instructions.

This invention relates to a vehicle software simulation testing method, system, apparatus, and storage medium. The method includes, in response to a test task instruction, obtaining the software to be tested corresponding to the test task, the model file and test script of the software to be tested, and task information required by the software to be tested to execute the test task; instantiating a Docker container based on the model file, the software to be tested, the test script, the task information, and a preset Docker base image required for model simulation to generate a simulation test environment; and starting the Docker container to execute simulation tests of the software to be tested based on the simulation test environment. This invention can automatically create and run simulation tests based on the simulation test environment, eliminating the need for manual creation by the user, thus improving efficiency and meeting the needs of numerous and frequently updated autonomous driving software.

The invention discloses a multi-thread synchronous simulator method for a self-reconfiguration and self-evolution AI chip. The method is used for efficient function simulation of the code execution process of a processor comprising a master controller module, a data transmission module, a storage and calculation integrated module, a coprocessor module, a coprocessor cache module and other various units. According to the method, modeling is carried out on a functional unit organization, a register organization, a cache mechanism and the like of the self-reconstruction and self-evolution intelligent computing chip, and executable code file content is loaded, analyzed and executed in a software simulation mode. According to the method disclosed by the invention, a multi-thread parallel mechanism is established, and simulation of effects such as instruction execution and synchronization among units on each unit in the chip on a beat level is realized. A unified data management mechanism and a user interaction mechanism are established, and efficient data access and debugging support are realized.

The invention relates to the field of software simulation, in particular to an LLM-based nuclear power simulator simulation platform intelligent operation and maintenance construction method and system. The method comprises the following steps: designing an abnormal coding rule, an interface and a structured operation and maintenance QA list, integrating related documents to construct a knowledge base, and training a special LLM model with domain knowledge; developing online monitoring based on a simulation platform API, configuring a detection component and packaging the detection component into a callable interface; the method comprises the following steps: constructing an operation and maintenance agent, receiving multi-modal input through a human-computer interface, performing intention recognition through an LLM, dynamically calling an API of a monitoring component, a detection component and the like, completing state check and anomaly recognition and analysis, and automatically generating countermeasures, operation and maintenance scripts and reports. The system can also trigger LLM fine tuning and knowledge base updating according to a statistical analysis result fed back by a user when a threshold value is reached so as to realize incremental learning. The method can automatically obtain the state of the simulator, analyze the abnormal root cause, recommend the processing scheme, and assist operation and maintenance personnel to make a decision quickly and accurately.