355 results about "Software simulation" patented technology

The invention discloses a pollution research and water quality prediction method based on river segmented water environment capacity analysis. The method comprises the following steps: accurately dividing a drainage basin into water environment capacity accounting units; obtaining a river water body image through satellite remote sensing; identifying and quantifying the positions and the intensities of point source and non-point source pollution sources in the drainage basin by utilizing the water quality parameters of the river obtained by the remote sensing image; establishing a river water quality prediction model; calculating the water environment capacity of each river reach under different surface water environment quality standards; comparing the estimated pollutant discharge amount with the water environment capacity under each water quality standard, and judging whether the pollutant discharge amount exceeds the capacity or not; and predicting future water quality change by using the model. According to the method, remote sensing, GIS and machine learning technologies are utilized, rapid analysis of the river segmented water environment capacity and accurate prediction of the water quality are achieved, dependence on a large amount of field sampling and complex software simulation is reduced, and the working efficiency is greatly improved.

The invention discloses an urban flood prediction method based on a Bayesian convolutional neural network, and the method comprises the steps: collecting historical rainfall events of a research region, simulating different rainfall events through hydrodynamic simulation software, and obtaining the maximum submerging water depth; selecting characteristic variables influencing waterlogging water depth, wherein the characteristic variables comprise 10 rainfall characteristic variables and 10 spatial characteristic variables; considering uncertainty to construct a Bayesian convolutional neural network prediction model; training the model based on a loss function MAE; and inputting the data in the verification set into the trained model, and calculating the mean value of the output approximate posteriori distribution as the predicted value of the water depth. The method is proposed on the basis of calculating and analyzing the relationship between the characteristic variables and the target variables, effectively fusing different data and considering possible uncertainty sources, not only realizes the prediction of the size and range of the submerged water depth of the research area, but also quantifies the prediction uncertainty, so that the prediction accuracy is improved. And support is provided for real-time flood disaster management.

The invention relates to the technical field of data processing and three-dimensional model construction, in particular to an intelligent three-dimensional model design method and system based on small-opening press-blow molding equipment. The method comprises the following steps that an intelligent sensor is used for collecting parameters of small-opening press-blow forming equipment, and initial equipment parameter information is recorded; according to the initial equipment parameter information, establishing an equipment three-dimensional initial model by using computer aided design software; and acquiring characteristic data of the glass material drops, inputting the characteristic data of the glass material drops into the three-dimensional initial model of the equipment, simulating a press-blow molding process by utilizing simulation software, and carrying out influence evaluation on the simulated press-blow molding process to obtain a molding process evaluation result. Through a data processing technology, a three-dimensional modeling technology and an automatic control technology, various parameters of the small-opening press-blow molding equipment are associated and evaluated, and an intelligent three-dimensional model of the equipment is constructed; and the accuracy of control operation of the forming equipment is improved, so that the produced glass containers are kept consistent in specification.

The invention discloses a deep learning-based staged tension prestress long-term loss prediction method, which belongs to the field of deep learning, solves the problem of poor prediction result robustness of a traditional prestress measurement method, and comprises the following steps: obtaining bridge original data based on a standard drawing set and a bridge design specification; based on the construction environment conditions and the concrete age, concrete material attributes are calculated; based on bridge original data and concrete material attributes, finite element software is used for simulating prestressed reinforcement staged tensioning processes under different working conditions, and a bridge prestressed reinforcement staged tensioning loss data set is generated; and constructing a prestress loss prediction model based on the multi-layer perceptron neural network, processing the staged tensioning loss data set of the bridge prestressed reinforcement based on the prestress loss prediction model, and outputting a prediction result of long-term loss caused by shrinkage and creep of the prestressed reinforcement. According to the method, the stress loss of the prestressed reinforcement can be effectively predicted, and the prediction robustness and accuracy are improved.

The invention discloses an electrical room ventilation opening arrangement optimization method, which comprises the steps of determining the optimal position of a ventilation opening of an existing electrical equipment room through Fluent software simulation, and counting each numerical value of the optimal position, including room volume, total equipment heat dissipation capacity, room air supply capacity, area size of an air supply outlet and the number of the air supply outlets; constructing and training a neural network model, taking each counted numerical value as the input of a neural network, and taking the optimal position of the ventilation opening as the output; calculating the air supply amount and the number of air supply outlets required by the electrical equipment room to be designed, determining the optimal position of the ventilation opening of the electrical equipment room to be designed through the trained neural network model, and finally verifying whether the result meets the requirement or not through Fluent software simulation. According to the method, the number of the ventilation openings required by the electrical equipment room can be reasonably calculated, the neural network is introduced, the positions of the ventilation openings are optimized, and the design efficiency of the electrical equipment room is improved.

The invention discloses a software simulation method, device, equipment and system for a vehicle-mounted air conditioner controller, and relates to the technical field of automobile electronic system testing, and the software simulation method for the vehicle-mounted air conditioner controller comprises the steps that first operation information input based on a testing interface is obtained, the test interface is an operation interface generated by simulating functions of the vehicle-mounted air conditioner controller; generating corresponding first CAN signal simulation data according to the first operation information; analyzing the first CAN signal simulation data to generate corresponding first CAN communication message data; and sending the first CAN communication message data to an air conditioner application program, so that the air conditioner application program displays corresponding operation information according to the received first CAN communication message data. According to the application, the function of the vehicle-mounted air conditioner controller is simulated, so that the air conditioner application program can be tested without depending on actual hardware.

The invention relates to a software and hardware co-simulation chip verification method, system and device and a storage medium, and relates to the field of software and hardware co-simulation. The method is based on a hyperSemu system comprising an hsComple and an hsRun and an FPGA (Field Programmable Gate Array) comprising a DUT (Device Under Test) and a Transactor. The method comprises the following steps of: writing an RTL (Real Time Language) design code of a chip; compiling the RTL design code by utilizing hsCompile to obtain a DB file; downloading the DB file to an FPGA (Field Programmable Gate Array) through hsRun so as to carry out hardware simulation; according to the DUT and the Transactor, a Hybrid server program and a Hybrid client program are written, and the Hybrid client program comprises a simulator program and a Linux system; and performing software simulation in the Linux system according to the DUT and the simulator program. The technical effect of the invention is that the efficiency and speed of chip simulation verification are improved.

The invention relates to the technical field of software simulation operation simulation, and discloses a software logic simulation operation control method and system in an audio processor. The control method is applied to logic simulation operation control equipment and specifically comprises the following steps that S101, an audio processor simulation operation request sent by a user side is received, a graphical user interface is generated according to the operation request, and the graphical user interface comprises a logic module list area, a design editing area, an attribute bar and an information display area; and the user side drags an icon of a logic circuit element from the logic module list area to the design editing area. Through a highly integrated graphical interface and intelligent interactive design, the design and simulation efficiency of an audio processor logic circuit is remarkably improved, and by adopting a'drag-and-generate 'module instantiation mechanism, an attribute bidirectional real-time synchronization technology and visual connection and signal type inspection, the reliability of the audio processor logic circuit is greatly improved. Therefore, the user can intuitively and quickly construct the complex circuit topology, and the professional threshold is greatly reduced.

The invention discloses a welding spot simulation life prediction method and system based on a random forest, and belongs to the technical field of welding spot simulation prediction, and the method comprises the steps: S1, carrying out the simulation of the thermal fatigue life of welding spots of various types of BGA chip products through CAE simulation software, collecting simulation parameters and simulation results, and constructing a CAE historical simulation database; s2, for each BGA chip category, collecting important structure parameters, material parameters and welding spot simulation life values from a CAE historical simulation database to form a data set; s3, based on the collected data set, using a random forest algorithm to construct a welding spot life prediction model; and S4, performing welding spot simulation life prediction by using the constructed welding spot life prediction model. According to the scheme, traditional CAE software simulation and machine learning are combined, so that the prediction efficiency is greatly improved while the accuracy of the prediction result of the simulation life of the welding spot is ensured.

The invention provides an automatic simulation test system and method for a semiconductor EAP system, and belongs to the field of semiconductor manufacturing, and the method specifically comprises the steps: defining a test scene through test case coding; constructing a test environment by using the equipment simulation module and the external system simulation module; driving a test process of the tested EAP program through an automatic execution engine and generating real-time output data corresponding to the tested EAP program; and comparing the real-time output data generated by the automatic execution engine with an expected result, and generating a test report. According to the processing scheme, behaviors of equipment and an external system are truly simulated in a software simulation mode, an actual production scene is accurately restored in a test link, dependence on a physical environment is reduced, and test coverage is improved; and moreover, the test scene is solidified through codes and configuration files, so that the versioning management and one-key automatic regression test of the test cases are realized, the test efficiency is remarkably improved, and the quality of secondary development is guaranteed.

The invention provides a bridge cable structure post-fire assessment method based on a long short-term memory network, and the method comprises the following specific steps: firstly, analyzing an existing bridge fire damage case, and obtaining the damage data of a lower cable structure and a field working condition; combining Pyrosim software modeling to analyze the temperature field condition of the cable structure under the design working condition, and obtaining a temperature field distribution rule; combining Ansys software to establish a bridge cable structure stress field model, and obtaining a stress field distribution rule; analyzing the temperature field condition of the cable structure under the action of each influence factor in combination with the expansion of a Matlab long-short-term memory network; carrying out a steel wire high-temperature stress coupling effect simulation test to obtain temperature-tensile strength curves under different temperature conditions; and calculating and evaluating the safety of the single steel wire and the whole cable of the cable. On the basis of the current research situation of the bridge cable, combined analysis of software simulation and a high-temperature stress coupling test is adopted, the damage rule of the bridge cable structure after a fire disaster is obtained based on a long-short-term memory network, and the cable state is evaluated.

The invention discloses a subway electric bus braking training system and method based on online fault diagnosis, the system comprises a fault injection system and a braking platform, the fault injection system comprises a fault operation platform, and the fault operation platform is used for sending a real object fault signal and a software simulation fault signal; the braking platform comprises a local console, and the local console is used for receiving the real object fault signals and the software simulation fault signals and controlling and executing real object fault actions and software simulation fault actions so as to achieve training of hardware braking faults and software braking faults of the subway electric passenger cars. According to the invention, the purpose of teaching and training metro workers can be achieved, and the comprehensive fault processing capability of the metro workers can be improved.

The invention provides a software simulation method, system, medium, program and device for a network card data path. The method is applied to a Linux system. The Linux system comprises a driving module and a virtual network card module; the software simulation method comprises the following steps: the driving module and the virtual network card module share a memory address so as to perform parameter configuration on data path information; and after parameter configuration of the data path information is completed, the driving module and the virtual network card module send and receive messages based on the shared memory address. According to the method, the modified hardware network card path is subjected to simulation verification by taking the Linux system on the host side as a main body in a pure software mode and utilizing the driving module and the virtual network card module in the Linux system, so that direct path verification on the hardware network card is avoided, and the verification time cost and the capital cost are reduced.

The invention belongs to the technical field of vehicle engineering, and particularly discloses a virtual compiling integration method, which is used for compiling and integrating a plurality of vehicle-mounted ECUs (Electronic Control Unit) and a plurality of controlled objects in the same software simulation framework for simulation, and comprises the following steps of: respectively generating FMU library files based on source codes of the vehicle-mounted ECUs and the controlled objects, the FMU library file further comprises an FMU library file of a stub function written for the first vehicle-mounted ECU to be tested; in the predefined software simulation framework, integrating and compiling the plurality of FMU library files into an executable file; a process is started, execution of the executable file is started, each FMU library file generates an independently running thread, and the threads are started in response to different triggering conditions. The method has the advantage that the compiling and running efficiency can be remarkably improved.

The invention relates to the technical field of satellite communication simulation, and discloses a satellite communication network simulation system and method. The system comprises a data processing module used for generating a contact plan based on DTN satellite network configuration and constructing a configuration file according to configuration parameters specified by a user; determining real-time positions and connection relations of nodes in a simulation period, and generating a multi-dimensional visual chart based on simulation result data; the simulation module is used for performing software simulation in a simulation period according to the configuration file and the contact plan, simulating data transmission among nodes in the satellite network topology and outputting simulation result data in real time; the visualization module is used for creating a multi-track animation and a dynamic topological graph based on the real-time position and the connection relation; and displaying the multi-track animation, the dynamic topological graph and the visual chart on a result interface. By means of the system, DTN network satellite communication simulation which is low in cost, easy to operate, efficient and multi-dimensional can be achieved, and the decision-making efficiency of technicians is improved.

The invention relates to a process forming method for a large thick-wall special-shaped curved surface carbon steel stainless steel shell. According to the process forming method, it is ensured that the high-precision molded surface size of the special-shaped curved surface shell is achieved in the forming process through multi-link optimization control. On the basis of allowance amplification optimization of three-dimensional modeling and expansion, by combining numerical control cutting and leveling processes, simulating a cutter pressing line path through software, and performing trial-manufacturing verification by using equal-proportion sample pieces; line-by-line and tool-by-tool pressing and two times of shaping inspection are adopted in the step-by-step pressing process, and the local deformation amount is corrected in real time; in the pre-assembly stage, the goodness of fit of assembly lines is ensured through three-dimensional lofting and scribing and tool positioning, and welding thermal deformation and residual stress are effectively controlled in cooperation with anti-deformation tool welding and aging treatment. Digital simulation, parameter iterative optimization, process error compensation and mechanical stability control are fused in the whole process, so that the profile precision of the shell meets the design requirement in the cold forming stage, and relying on machining correction is avoided.

The invention discloses a single-stroke breakpoint-free path planning method for a 3D printing variable-wall-thickness honeycomb structure, and the method comprises the following steps: determining the stress distribution condition of an equal-wall-thickness honeycomb structure continuous carbon fiber reinforced silicon carbide ceramic-based composite material through software simulation, and determining a weakest region and a weakest region; variable-wall-thickness honeycomb printing is arranged in the weakest area and the weaker area; the side length and the offset distance of the honeycomb unit are determined, and a 3D printing path is set, specifically, the odd-number-layer path is different from the even-number-layer path, the outer contours of the honeycomb unit are sequentially printed in the vertical direction through the odd-number-layer path, the honeycomb unit does not completely pass through each honeycomb wall of the honeycomb structure, and the honeycomb structure is not completely formed after printing is completed; and when the next even-numbered layer is printed, missing honeycomb walls of the upper odd-numbered layer are passed twice, so that the missing honeycomb walls are complemented, and a complete variable-wall-thickness honeycomb structure is formed. According to the method, weak spots are effectively strengthened in a targeted mode, the material is not prone to damage, and the mechanical property is remarkably improved.

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 relates to the technical field of satellite-borne edge computing and simulation, and provides a satellite-borne edge computing task unloading semi-physical simulation system. Comprising a physical satellite-borne edge computing device, a software virtual satellite-borne edge computing device, a ground user device, a space environment simulator, a container and cloud management base, a resource data distribution module and a task unloading scheduling module. The physical satellite-borne edge computing device and the software virtual satellite-borne edge computing device jointly construct a cloud side end cooperative computing cluster, the ground user device is used for initiating a computing task request, the space environment simulator is used for simulating spatial network characteristics, and the container and the cloud management base are used for achieving all-node unified management and control. The resource data distribution module is used for issuing and subscribing node resources and environment information, and the task unloading scheduling module is used for executing a task unloading decision. The problems that in the prior art, on-orbit verification cost is high, a pure software simulation environment is distorted, algorithm credibility is insufficient, and a satellite-borne data set is scarce are solved.

The invention discloses a running subway electric passenger car training system and method based on online fault setting. The running subway electric passenger car training system based on online fault setting comprises a fault injection system and a physical platform connected with the fault injection system. The fault injection system comprises a fault operation platform, and the fault operation platform is used for sending a real object fault signal and a software simulation fault signal; the physical platform comprises a console, and the console is used for receiving the physical fault signals and the software simulation fault signals and controlling and executing physical fault actions and software simulation fault actions so as to achieve training of hardware faults and software faults of the subway electric passenger car. According to the invention, the purpose of teaching and training metro workers can be realized, and the comprehensive fault processing capability of students is improved.

The invention belongs to the field of software simulation, and particularly discloses a CAE software construction method, system and equipment, and the method comprises the steps: determining a simulation scene which needs to be supported by the current version of CAE software, so as to determine a function which needs to be supported by the current version of CAE software; determining a plurality of sub-function modules needing to be added in the CAE software according to the functions needing to be supported; constructing at least one sub-function module in the plurality of sub-function modules by adopting a data-oriented software design architecture; after the plurality of sub-function modules are constructed, completing iteration of the CAE software of the current version to obtain CAE software of an updated version; the CAE software of the updated version supports the simulation scene. Through the method and the device, the problems of software complexity and performance caused by coupling of a plurality of functional modules in a CAE software architecture are solved, so that the development efficiency of CAE software is improved, the software quality and the execution performance are improved, and the simulation experience of a user is improved.

The invention relates to the technical field of industrial automation control, and provides a method and system for achieving online simulation of an HMI simulator, and the method comprises the steps: monitoring the starting and offline simulation process of an original HMI programming software simulator, and confirming that the original HMI programming software simulator completes the generation of a configuration file; receiving a mode switching instruction of a user through the mode switching interface; in response to the mode switching instruction, terminating the current simulator process; modifying a configuration file generated by the simulator, modifying an operation mode parameter in the configuration file from a first value representing offline simulation to a second value representing online simulation, and dynamically configuring a communication port parameter; the verification information of the configuration file is updated to ensure the legality of the file; and restarting the simulator, and loading the modified configuration file by the simulator so as to establish communication connection with an external PLC (Programmable Logic Controller) or instrument and enter an online simulation mode. On the premise of not depending on entity hardware, online communication and real-time joint debugging of the HMI simulator and the external equipment can be realized.

A verification environment VE monitors accesses to a cache by a device under test DUT via an interface. In response to a cache access, the verification environment modifies the cache memory to give a predefined result from the cache access. The predefined result is then returned to the device under test via the interface. The verification environment may modify the data content of the cache by generating the predetermined value. It may modify the directory state assigned to the target of the cache access. The state may be valid, dirty, speculation or coherency. It may modify the least recently used state, or a most recently used state of the target. It may modify a memory reference model of the device under test. The device under test may be a software simulation or a hardware device. The verification environment may generate a pass or a fail signal dependent on the returned result.

The invention relates to the technical field of steel continuous casting production, in particular to a simulation method and system for dynamic distribution of inclusions in a continuous casting billet and a computer program product, and the simulation method comprises the following steps: constructing a three-dimensional model of the continuous casting billet, importing FLUENT software, and simulating fluid movement in the continuous casting billet; simulating the growth process of the solidified blank shell until the blank shell is completely solidified; injecting and tracking inclusions in the dispersed phase model; the positions of the inclusions in the continuous casting billet are obtained at each time step, and whether the inclusions meet the criterion of being captured by the solidified billet shell or not is judged; if yes, the speed of the inclusions is removed, and a new speed is given to the inclusions according to the positions of the inclusions in the continuous casting billet; and exporting inclusion information at an outlet of the continuous casting billet. According to the method, the obtained dynamic distribution simulation result of the inclusions is closer to the actual production, the distribution condition of the inclusions in the continuous casting blank can be accurately reflected, and the production of the casting blank is effectively guided.

The invention discloses a low-cost robot high-computing-power simulation system, and the system comprises an identity verification module which is used for verifying the identity of a user, and logging in the system after the verification succeeds; the motion control module is used for simulating motion control of the robot and simulating and controlling each motion muscle and joint of the robot; the instruction generation module is used for generating a control instruction after the movement of each movement joint and muscle of the robot is converted according to the movement requirement; the central processing module receives the control instruction and applies motion control to the motion control module; the feedback module is used for detecting the motion state of each motion muscle and joint of the robot, and the motion state comprises the motion speed, the motion direction and the motion distance; the data storage module is used for storing operation record information of the system and robot model information; according to the method, the cost is reduced: through a software simulation mode, the purchase and maintenance cost of entity hardware is avoided, and the research and development cost is greatly reduced.

The embodiment of the invention provides a verification method and device, electronic equipment and a storage medium, and the method comprises the steps: dividing a to-be-verified code file into a first code file and a second code file based on a module time sequence requirement corresponding to each module in the to-be-verified code file; the module time sequence requirement of the first module contained in the first code file is lower than the module time sequence requirement of the second module contained in the second code file; compiling the first code file into an executable file, and performing software simulation verification in a software simulation environment based on the executable file; deploying a target bit file corresponding to the second code file to a specified chip, and performing hardware simulation verification in a hardware simulation environment based on the specified chip; and the software simulation environment and the hardware simulation environment perform bidirectional data synchronization based on the target communication interface. A software and hardware combined verification mode is adopted, the verification effect is improved, the verification advantages of the two verification modes are considered at the same time, and the method has the advantages of being convenient to debug and high in verification precision.

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.

The invention relates to the technical field of electromagnetic measurement and state monitoring, and discloses a global state sensing system and method for an electromagnetic voltage transformer. The technical problems that in the prior art, data robustness is insufficient and actual working condition changes of a power grid are difficult to adapt due to the fact that accurate resonance circuit parameters are depended and a single calculation path is adopted are solved. According to the method, ferromagnetic resonance phenomena under various faults are simulated based on electromagnetic transient simulation, phenomenon data are obtained, and influence factors are analyzed to obtain influence rule data. And taking the rule data as input, and adopting a comprehensive solving method combining programming calculation, system structure chart calculation and electromagnetic transient software simulation to obtain a high-reliability state quantity time sequence. Based on the time sequence, a nonlinear model which takes loss into account and does not depend on precise resonant circuit parameters is derived, and explicit mathematical functions of primary current and transient overvoltage of the voltage transformer are obtained.

A tempered glass insulator stress distribution measurement method comprises the steps of simulating a fluid field and a transient temperature field in tempering cooling by using CFD software based on a glass viscoelasticity theory, importing a temperature field result into FEA software, and solving a residual stress field in combination with a generalized Maxwell model. And selecting an insulator disc sheet-shaped area, acquiring stress data by using photoelastic stress measurement equipment, and comparing the stress data with a simulation result to verify the reliability of the model. And outputting the overall residual stress distribution of the insulator based on the verified model, and identifying a high-tensile stress concentration region. Cooling process parameters are adjusted according to stress distribution, simulation prediction is conducted again, photoelastic measurement verification is conducted, and process iterative optimization is achieved. According to the method, numerical simulation and experimental measurement are deeply fused, a closed-loop optimization process is formed, and the stress distribution condition of the tempered glass insulator can be more comprehensively and accurately mastered, so that the limitation of the prior art is effectively overcome, and accurate guidance and optimization of a tempering process are realized.

The invention discloses a digital chip verification method and device, electronic equipment and a computer readable storage medium, the method and device are applied to a verification system, the verification system comprises a software simulation platform and a hardware verification platform, and the method comprises the following steps: determining a to-be-tested code of a target digital chip; utilizing the software simulation platform to generate an excitation signal according to the to-be-tested code, and sending the excitation signal to a hardware verification platform; executing verification operation on the target digital chip by using the hardware verification platform according to the excitation signal to obtain a hardware verification result; when the hardware verification result has abnormal information, determining an abnormal node in the to-be-tested code, and debugging at the abnormal node by using a software simulation platform to obtain a software simulation result; and determining a final verification result of the target digital chip according to the hardware verification result and the software simulation result. By applying the technical scheme provided by the invention, more flexible and efficient digital chip verification can be realized.