5251 results about "Simulation test" patented technology

The invention provides a hardware-in-the-loop simulation test method and device for a network construction type energy storage converter, and relates to the technical field of electric power grids. The network construction type energy storage converter is connected with the simulation energy storage system and the power grid simulation device, a hardware-in-the-loop simulation test system is constructed, and control parameters of the simulation energy storage system and the power grid simulation device are adjusted based on the simulation test system in combination with test types. Various types of hardware-in-the-loop tests and semi-physical tests such as fault ride-through tests, electric energy adaptability tests and black start tests are realized, and effective evaluation of the performance of the network-forming type energy storage converter is realized. According to the method, the problem of power grid oscillation caused by the fact that the network construction type energy storage converter is connected into the power grid for testing is avoided, the accuracy of the testing result of the network construction type energy storage converter is guaranteed, accurate capturing of performance parameters of different types of network construction type energy storage converters is achieved, and the testing effect of the network construction type energy storage converter is improved.

The invention discloses a vehicle-mounted boost inductance monitoring simulation test system and a test method thereof. The vehicle-mounted boost inductance monitoring simulation test system comprises a vehicle-mounted power supply simulation module, an accelerated life test module, an environment test box, a fault early warning module and a data analysis and diagnosis module. The actual stress state of the inductor is comprehensively simulated by constructing a power supply simulation model matched with the actual working condition of the electric vehicle and combining a multi-environmental-factor coupled accelerated life test; real-time monitoring and fault early warning of inductive performance degradation are realized by adopting an acoustic emission technology; an inductance fault diagnosis knowledge base and an intelligent reasoning system are constructed by applying big data analysis and machine learning technologies. According to the system and the method provided by the invention, the inductance reliability test efficiency can be remarkably improved, the early warning of inductance degradation is realized, the accuracy and the intelligent level of fault diagnosis are improved, a solid basic guarantee is provided for safe operation of a new energy electric vehicle, and the system and the method have wide application prospects and popularization values.

The invention relates to the technical field of software development management, in particular to an internet software development management system and method. The method comprises the following steps: collecting an original function demand set and carrying out function clustering analysis; extracting and classifying demand function features and generating independent demand units; carrying out dependency analysis on the independent demand units; constructing a dependency relationship set and a demand logic structure; the method comprises the following steps: generating a demand framework matrix, carrying out organization network simulation to obtain a demand connection network, carrying out code reverse evolution according to the demand connection network, carrying out basic parameter matching to obtain evolution basic parameters, carrying out a pressure simulation test on the evolution basic parameters to generate a pressure test result, and capturing resource pressure defects based on the pressure test result. And optimizing and adjusting the evolution basic parameters to generate optimized development parameters. According to the invention, a more efficient Internet software development management method is realized.

The invention relates to the technical field of grouting simulation tests, in particular to a sandy gravel stratum catastrophe grouting prevention and control virtual-real blending collaborative test method and system, and the method comprises the steps: carrying out a grouting test on a sandy gravel stratum simulation model, and obtaining grouting parameters and monitoring parameters in the grouting process; based on the resistivity and the radar data, further obtaining a slurry diffusion path and a diffusion range of the area with the higher surrounding rock grade; based on the resistivity and the optical fiber sensing data, the slurry diffusion path and the diffusion range of the area with the low surrounding rock grade are further obtained; inputting the initial grouting parameters into the trained neural network model to obtain simulation data; carrying out preprocessing and alignment operation on the previous data, and carrying out fusion analysis; and according to the fusion analysis result, grouting equipment parameters and a grouting scheme are pre-controlled and adjusted. And real-time regulation and control of a grouting scheme and equipment are realized.

The invention provides a material simulation test method and platform for mold flow analysis, and relates to the technical field of material simulation testing, and the method comprises the steps: carrying out the product demand analysis of a target test material, and obtaining the product demand information; performing injection molding analysis to obtain an injection molding control parameter threshold; obtaining an injection molding simulation test model; carrying out an injection molding simulation test, and carrying out image pre-acquisition to obtain a first pre-acquired image; defect feature analysis is carried out, attention area distribution is carried out, and a target attention area is obtained; an injection molding defect area image is obtained, and defect feature information is obtained; and feedback testing and parameter optimization are carried out, optimized injection molding control parameters are obtained, and injection molding control is carried out. The technical problems that in the prior art, injection molding analysis generally depends on a fixed mathematical model and limited technological parameters, and problems in the molding process cannot be recognized and adjusted in real time, so that the production efficiency and the product quality are low are solved.

The invention discloses a simulation test method for a vehicle-mounted communication network. The method comprises the following steps: S1, initializing a vehicle-mounted communication environment; s2, generating a dynamic network topology; s3, environment adaptability dynamic interference is generated; s4, co-simulation of the dynamic network and interference; s5, testing and evaluating communication performance; and S6, visualizing and exporting a test result. According to the invention, the network topology reflecting the real-time motion state of the vehicle is dynamically generated, the communication change between the vehicles can be reflected in real time in different traffic environments, and the interference conditions in various complex environments are simulated in combination with the environment adaptability dynamic interference generation module, so that the performance of the vehicle-mounted communication network can be comprehensively evaluated.

The invention discloses a mechanical arm force feedback control method based on deep reinforcement learning, and the method comprises the following steps: 1, data collection and preprocessing: collecting environment data, collecting operation data, and preprocessing the data; 2, designing a self-adaptive deep reinforcement learning algorithm, including initial model training, self-adaptive learning module and model online updating; 3, introducing a prediction model, including human operation intention prediction and motion trail prediction; and step 4, performance test and optimization, including simulation test and safety and efficiency evaluation. The force feedback control precision of the mechanical arm during operation in a complex environment and the safety and efficiency of man-machine cooperation are improved. According to the method, a control strategy is updated and adjusted in real time by designing an adaptive deep reinforcement learning algorithm and introducing a human operation intention prediction model, so that environmental changes and unknown interference can be better coped with.

The invention discloses a parameter feature-based test case generation method and a related product. In the scheme, a parameter document of target simulation software is obtained; and extracting parameter feature information of the target simulation software based on the parameter document. And on the basis of the parameter feature information, matching a test case template and a code generation rule in a pre-constructed code knowledge base, and generating an initial test case code. And dynamically optimizing the initial test case code according to feedback data generated in a simulation test process to generate a target test case code. According to the technical scheme, the parameter feature information is automatically extracted, the complex dependency relationship between the parameters is accurately analyzed, the test case is automatically generated based on the knowledge base matching template and rule, software changes are adapted in real time in combination with a dynamic optimization mechanism, dynamic and efficient generation of test case codes is achieved, and the test efficiency is improved. The coverage degree and the adaptability of the test case codes are improved, and then the accuracy, the comprehensiveness and the efficiency of the test are improved.

The multi-ECU simulation test method includes: obtaining a pre-developed application applied to a target ECU; inputting the application into a pre-built multi-ECU simulation environment; querying a simulated vehicle-mounted ECU having a unique identifier the same as the target ECU from a plurality of simulated vehicle-mounted ECUs in the multi-ECU simulation environment as a target simulated ECU; and simulating a communication process of the target simulated ECU via a simulated controller area network or a simulated Internet network in the multi-ECU simulation environment, running the application based on the target simulated ECU, and outputting a running result of the application.

The invention provides a credibility measurement method and system for an unmanned multi-mode perception algorithm, a data-driven virtual simulation test platform is constructed, and feature distribution is counted on the basis of actually-collected actual measurement data. Through dynamic model modeling and state transition, an end-to-end closed loop sensing process is described. Afterwards, for the problem that a traditional combined test method is low in efficiency due to the high dimension of scene parameters, a black box substitution model between the scene parameters and a perception test result is established, historical test data is evaluated by using a Bayesian optimization algorithm to generate the most antagonistic scene parameters in a next iteration test, and the efficiency of the traditional combined test method is improved. In this way, the confrontation of the test environment is continuously improved, and the test efficiency is effectively improved. And finally, a perception algorithm credibility measurement module is constructed, a perception failure scene is extracted through playback test data, a credibility evaluation index system is constructed, and comprehensive credibility evaluation of the tested perception system is realized.

The invention discloses a probe card simulation method and system based on counter-acting force analysis, which are used in the field of wafer simulation test, and the probe card simulation method comprises the following steps: integrating multiple physical field working conditions to construct a probe card geometric model, and importing the probe card geometric model into finite element simulation analysis software; carrying out grid division on the geometric model of the probe card by utilizing the hybrid voxel tree model, adjusting the grid density according to the distribution requirement of the multi-physical field, and setting a simulation boundary condition by utilizing a preset boundary condition template according to the actual simulation requirement; starting a simulation calculation process based on the adjusted grid density and simulated boundary conditions; and providing a visual interface of physical field distribution and a structural stress state in the simulation calculation process, and performing iterative optimization on the performance of the probe card in the simulation process according to a reactive force distribution result. According to the method, the grid density is automatically adjusted to adapt to changes of a physical field, and it is ensured that higher simulation precision is obtained in a key area.

A grouting simulation test system and method for high-temperature water-rich filled fractures. The grouting simulation test system comprises: a water head intelligent sensing and adjusting module, a fracture medium intelligent simulation module, a double-liquid grouting module, a data analysis module, and an intelligent control module. The fracture medium intelligent simulation module comprises a water bath circulation temperature control unit, a fracture model (11), and an opening degree adjustment unit. The water bath circulation temperature control unit is arranged on upper and lower sides of the fracture model (11). Circulating water is provided in the water bath circulation temperature control unit, and the temperature of the circulating water is controllable. The fracture model (11) is formed by combining a plurality of model units. The opening degree adjustment unit is connected to the water bath circulation temperature control unit above the fracture model (11) and is capable of raising and lowering the water bath circulation temperature control unit. The present test system can achieve the study of a grouting diffusion mechanism under the coupling action of two or more factors such as different slurry properties, dynamic water flow velocity, dynamic water temperature, fracture medium multivariate factors, medium temperature, and filling conditions.

The invention discloses an integrated verification and test system and method for complex rules of a substation monitoring system, and the system comprises a rule editing module which provides a visual interface to support a user to edit the complex rules containing various types of variables and time sequence constraints; the analysis and verification module is used for performing grammar, variable conflict and business compliance multi-level verification on the rules; the intelligent test case generation module is used for automatically generating test cases covering normal, boundary and abnormal conditions based on the rule tree structure; the simulation test interface module converts the use case into a standard test script, submits the standard test script to a simulation tool for execution, and outputs the standard test script to a monitoring system through protocol conversion; the result analysis module is used for comparing an execution result with an expected result and generating a structured test report; according to the invention, full-process automation of rule verification and testing is realized, the verification efficiency is remarkably improved, and the test requirements of various transformer substation business scenes are met.

The invention discloses a big data prediction model intelligent ammonia spraying control method and system suitable for kiln flue gas denitration. According to the ammonia spraying control method, historical and real-time data of multiple parameters such as the fuel gas flow of the glass kiln are collected firstly, the NOx amount is predicted through modeling of the LSTM-GRU hybrid neural network, the ammonia spraying amount is calculated through self-adaptive control, and the accuracy is ensured through two-stage correction. And the calculated ammonia spraying amount is transmitted to a production master control system to adjust an ammonia supply valve, and automatic alarm and manual control are switched in case of failure. The system comprises a data acquisition module, an intelligent prediction module, a self-adaptive control module and the like, and further comprises a dynamic catalytic reaction simulation test platform for optimization. According to the invention, intelligent automatic control of the big data model is realized, the ammonia spraying amount is accurately adjusted, the denitration efficiency and the ammonia utilization rate are improved, the operation cost is reduced, and the system reliability and stability are enhanced.

Techniques associated with categorizing simulation instances associated with simulation testing comprise categorizing simulation instances that produce unique or otherwise interesting results for further testing, review, and validation. In some cases, the system may be configured to determine low period of resource consumption and to schedule simulation testing during those periods of time.

The invention discloses an intelligent driving algorithm simulation test method, device and equipment and a storage medium, relates to the technical field of intelligent driving testing, and discloses an intelligent driving algorithm simulation test method which comprises the following steps: acquiring vehicle-end environment data and road-end environment data, obtaining a target scene according to the vehicle end environment data and the road end environment data; according to the vehicle end environment data, the road end environment data and the target scene, training based on a diffusion transformation model to obtain a world model; generating a simulation scene according to the target scene and the world model; and performing intelligent driving algorithm simulation test according to the simulation scene. Through vehicle end and road end environment data fusion and training based on a diffusion transformation model, high-fidelity simulation scene generation and efficient simulation testing of an intelligent driving algorithm are realized.

The invention belongs to the technical field of material and coating corrosion tests, and relates to a whole sea area atmospheric environment comprehensive simulation test system, which adopts an integrated structural design, and performs integrated coupling of various environmental test simulation capabilities on the basis of a single-function test box. The device has the test capabilities of metal material corrosion acceleration test, organic composite material and coating aging evaluation and the like, can simulate the global marine atmospheric environment and coupling of multiple factors such as air temperature, humidity, salt mist and ultraviolet irradiation, can perform comprehensive test evaluation on the whole-sea-area marine atmospheric environment of typical materials, avoids the problem of inconvenient operation of corrosion tests, and has a wide application prospect. The device can be used for corrosion and ultraviolet aging tests of conventional marine atmospheric environment corrosion media, polar regions, tropical regions and other extreme marine atmospheric environments, and material corrosion tests for simulating marine splash zones, tidal range zones and the like. The device is simple in structure and convenient to operate, and coupling of multiple factors of high and low temperature, humidity, salt mist, ultraviolet illumination and periodic infiltration can be achieved.

The invention relates to an aircraft nose landing gear taxiing and shimmy simulation test bed. The test bed comprises a test device main body structure, a power execution control mechanism, a vibration excitation mechanism and a vibration detection system. The method solves the problems of determination, contrast evaluation and detection analysis of the shimmy influence factors of the nose landing gear of the aircraft. The torsion steering engine is added, so that the turning condition of a ground plane can be simulated. The height-adjustable supporting cross beam can adapt to undercarriages of different sizes only by replacing the undercarriage clamp instead of replacing the whole frame, so that the use cost is greatly reduced. And more accurate data are provided for the design of the nose landing gear of the aircraft.

The invention discloses a law and regulation simulation test method, device and equipment for an intelligent driving algorithm and a storage medium, and relates to the technical field of intelligent driving, and the method comprises the steps: carrying out the high-precision three-dimensional reconstruction of a law and regulation test site according to collected data, and obtaining a three-dimensional reconstruction scene, and the collected data comprises a laser radar point cloud and a multi-view camera image; obtaining simulation working condition test data based on the three-dimensional reconstruction scene; training a network model according to the simulation working condition test data and the real vehicle working condition test data to obtain a vehicle dynamics network model; and based on an automatic test program, constructing a closed-loop simulation link according to the three-dimensional reconstruction scene and the vehicle dynamics network model, and carrying out regulation simulation test on an intelligent driving algorithm. According to the invention, the efficiency and accuracy of intelligent driving regulation testing can be improved.

The invention relates to the technical field of power system testing, in particular to a transformer simulation test current optimization method based on dynamic impedance matching, which comprises the following steps: performing low-power scanning on a tested transformer to establish a nonlinear model capable of predicting harmonic waves; actively synthesizing the virtual impedance of the target power grid; and a feed-forward compensation current is generated by using a harmonic prediction model and is injected into the transformer after being superposed with a fundamental wave instruction. According to the method, accurate identification modeling is carried out on nonlinear characteristics of a tested unit, active synthesis of virtual impedance of a target power grid is combined, and harmonic compensation current is generated in real time by utilizing a feedforward control thought so as to optimize finally injected test current. According to the method, the problems of inaccurate power grid simulation and insufficient nonlinear response coupling of the transformer in a traditional test are solved, high-fidelity current injection is realized, real electrical behaviors of the transformer under various complex power grid working conditions can be accurately simulated, and the flexibility, accuracy and safety of the test are remarkably improved.

The invention relates to the technical field of grouting simulation tests, in particular to a test device and method for simulating dynamic water condition composite stratum tunnel grouting, and the test device for simulating dynamic water condition composite stratum tunnel grouting comprises a model box, a water storage tank, a single-ring duct piece, a dynamic water simulation system, a grouting system and a data acquisition and analysis system; the model box is filled with a permeable medium, the single-ring duct piece is arranged in the permeable medium, the grouting system is connected with the single-ring duct piece, and grouting slurry is colored; the dynamic water simulation system comprises a water supply system and a drainage system, the data acquisition and analysis system is arranged on one side of the model box and used for acquiring and analyzing the state of grouting slurry in the model box, and the problem that grouting and seepage conditions of different seepage fields cannot be visually observed and simulated in a traditional grouting test is solved. The seepage field grouting simulation test is simplified, and the seepage field grouting effect in the pore stratum cannot be effectively researched.

The invention discloses an automatic driving performance optimization method, system and device, a storage medium and a product, and relates to the technical field of automatic driving, and the method comprises the steps: obtaining a driving scene parameter and an automatic driving algorithm; constructing a simulation platform by using the driving scene parameters and an automatic driving algorithm, and performing a simulation test on the automatic driving system through the simulation platform to obtain a simulation test result; and adjusting the weight and the evaluation key point of the simulation test result through a pre-constructed multi-dimensional evaluation system to obtain an evaluation result of the automatic driving performance. According to the scheme, by introducing a multi-dimensional evaluation system, more accurate and more comprehensive performance evaluation of the automatic driving system can be realized, and one-sided evaluation caused by a single index in the past is avoided. Besides, by dynamically adjusting the weight of the simulation test result and the evaluation key point, more accurate and more comprehensive performance evaluation of the automatic driving system is realized, and the reliability and safety of the automatic driving system in a complex and changeable real driving environment are improved.

The invention relates to an attitude and orbit control engine high-altitude environment simulation ignition test system and a verification method, in particular to a high-altitude simulation test bed active injection verification system and a verification method, and solves the technical problems of high cost, high risk and low verification data validity during verification of a high-altitude simulation test bed in the prior art. The active injection verification system for the high-altitude simulation test bench comprises a vacuum chamber, a diffuser, a water spray cooler, a first corrugated pipe, a first gas collection chamber, a second corrugated pipe, n groups of coolers, a third corrugated pipe, a second gas collection chamber, a steam-jet pump, a pipeline and a data acquisition module, according to the verification method of the active ejection verification system of the high-altitude simulation test stand, ejection capacity verification is carried out in two stages, and the verification effectiveness is greatly improved on the premise that the verification cost is greatly reduced.

The invention relates to the technical field of data governance, and discloses a data governance method based on an industrial big data platform, which comprises the following steps: processing an organizational structure document and a business process definition through a text semantic analysis technology, and generating a responsibility allocation matrix; analyzing the historical data access behavior of the user, and depicting the data use characteristics of the user; according to the user model and the responsibility matrix, in combination with data sensitivity scoring, scene feature extraction and multi-dimensional risk calculation, dynamic permission decision is realized; for the decision-making mechanism, verifying the security influence of the authorization strategy through a simulation test; performing adaptive adjustment on model parameters according to a test result, and dynamically updating the initial responsibility matrix to form closed-loop management; through organizational structure intelligent analysis, user behavior modeling, risk awareness permission decision, digital twin verification and adaptive optimization, accurate division and dynamic adjustment of data governance responsibilities are realized, and the intelligence and dynamic adaptability of data permission management are improved.

The invention discloses a fault detonation simulation test method and platform for an extra-high voltage converter transformer network side bushing, and the method comprises the steps: providing a critical value calculation method for primary physical explosion and secondary chemical explosion of the extra-high voltage converter transformer network side bushing under different arc fault energy conditions; and the critical conditions of primary physical explosion and secondary chemical explosion can be accurately judged. According to the invention, the whole dynamic evolution process from rapid cracking of transformer oil and sudden pressure increase caused by converter transformer fault arc to superposition of physical explosion and explosion chemistry can be truly simulated, a grid-side bushing fault detonation critical discrimination method is provided, and technical parameters and theoretical support are provided for the explosion-proof and pressure-relief design of the converter transformer.

The invention discloses an umbrella ladder type land-based high-altitude wind power generation system optimal working point determining method and device, equipment, a medium and a product, and relates to the field of land-based wind power generation. The method comprises the following steps: in a ground coordinate system, respectively constructing a polar coordinate system of an umbrella body and a wind-facing coordinate system of the umbrella body; based on the constructed polar coordinate system and the wind-facing coordinate system, establishing a dynamic model of an umbrella ladder system in the umbrella ladder type land-based high-altitude wind power generation system; determining a cable output mechanical power model according to the kinetic model; and a wind speed-rope speed relation model in the optimal operation state is obtained through deduction in combination with a simulation test auxiliary theory, so that the optimal working point is determined, and the rope releasing speed in the rising process of the umbrella ladder system in the umbrella ladder type land-based high-altitude wind power generation system is controlled according to the optimal working point. According to the method, the operation parameter data in the optimal operation state can be determined, so that the umbrella ladder type land-based high-altitude wind power generation system works in the optimal operation state.

The invention relates to the technical field of digital marketing, in particular to a digital advertisement putting method based on big data, and the method comprises the following steps: initializing an advertisement model, importing advertisement request time sequence data, carrying out time sequence analysis, adjusting an enqueue rule and a processing rate, calculating request distribution in a differentiated time period, and generating model parameter configuration. According to the invention, through a queuing theory and time sequence data analysis, advertisement time sequence and processing efficiency optimization, time sequence analysis and parameter adjustment, advertisement timeliness is enhanced, user activity peak synchronization is ensured, user participation degree and advertisement effect are improved, and recalculation of service time and estimation of waiting time support real-time monitoring of service efficiency. Accurate matching of advertisement resources and user requirements is achieved, real-time adjustment of strategies and simulation testing rapidly adapt to market changes, the resource utilization efficiency and ROI are improved, and precision and economic benefits of advertisement putting are remarkably improved through fine management and data driving optimization.

The invention relates to an automatic driving simulation test scene generation method based on a text traffic accident report, and aims to apply a generative language model technology in the field of natural language processing, a code generation technology in the field of program synthesis and a fuzzy test theory in the field of software test. The problem that diversified and standardized high-quality simulation test scenes are lacked in the current automatic driving test field is solved, and the method can generate diversified scene files in the OpenSCENARIO format on the basis of natural languages, and mutates seed scenes through multiple transformation operators so as to efficiently discover defects existing in an automatic driving system.

The invention provides an SCADA system label generation method and system based on structured multi-source information fusion, and relates to the technical field of industrial automation and control. According to the method and the system, firstly, an initial information modeling framework including a tag name, a data type and an equipment association relationship is generated based on an SCADA system architecture; establishing a multi-level constraint rule base according to engineering domain characteristics, analyzing the information modeling framework through a large language model, performing semantic verification in combination with a domain knowledge graph, and generating a structured tag file conforming to a used SCADA (Supervisory Control and Data Acquisition) system; and finally, through an application platform of an SCADA (Supervisory Control and Data Acquisition) system or by constructing a digital twinborn verification platform containing a simulation test environment, carrying out an injection test on the generated tag, and verifying the field integrity, logic consistency and system compatibility of a tag file. According to the method, the large language model can adapt to a specific industrial control scene when processing SCADA system label generation.

The invention belongs to the technical field of automatic driving automobile testing, and particularly relates to an intelligent automobile key scene optimization generation method based on large model knowledge guidance. Comprising the following steps: S1, constructing a knowledge expression module, and designing a knowledge result, a large language model application mode and a dynamic updating process from scene theoretical knowledge and scene exploration knowledge; s2, constructing a parameter optimization module, designing a multi-stage optimization strategy including global exploration, local optimization and spatial pruning, and fusing the multi-stage optimization strategy with the knowledge model; s3, establishing a simulation test module, and based on a Carla simulation platform, establishing a scene establishment component, a to-be-tested system component, a simulation execution component and a data export component through LLM-Agent; s4, selecting a model and pre-training a large language model, designing a model selection index and selecting the model; and S5, constructing an evaluation and memory module, evaluating a test result, and storing all test and knowledge data. According to the method, the key scene of the intelligent automobile can be quickly generated through mutual combination of the knowledge model, the large language model and optimization search.