201 results about "Simulation control" patented technology

The invention relates to the technical field, and discloses an intelligent management method and system for oxygen inhalation, and the method comprises the steps: setting an oxygen flow mixing ratio and a quantitative parameter according to an expected treatment effect, and setting a simulation control for an operator to adjust the oxygen flow mixing ratio in real time; a plurality of sensors are connected to a main controller, data acquisition and state monitoring are carried out through the sensors, and oxygen flow acquisition and air mixing proportion are quantitatively displayed and charged; an air-oxygen proportional electromagnetic valve is arranged, a main controller receives a starting instruction, the air-oxygen proportional electromagnetic valve is controlled according to data collected by a sensor, the flow of mixed gas flowing through the proportional valve and the oxygen proportion are accurately controlled, and remote flow control and program control over oxygen supply are achieved. By means of the method, an intelligent management system for oxygen inhalation is achieved, the whole machine is easy to operate through intelligent control, it is guaranteed that the oxygen flow is adjusted in real time according to the needs of a patient, and the dynamic needs are kept consistent.

The invention discloses a truss robot rehearsal control method based on digital twinning, and the method comprises the following steps: S1, constructing a truss robot digital twinning system, including constructing a truss robot virtual scene and constraint, performing data synchronization and bidirectional communication, and configuring a safety rule base and a data recording / playback interface at a twinning end; s2, rehearsing a task to be executed, generating a reference trajectory and a constraint set, and automatically checking the rehearsing process according to the safety rule base to obtain the reference trajectory and the constraint set which pass the rehearsing; and S3, performing parameterized predictive control and real-time tracking on the rehearsed reference trajectory and the constraint set, and controlling a trajectory tracking error to be within a tolerance range. According to the method, a digital twin system corresponding to the physical world is constructed, Laguerre function parameterized model predictive control is introduced to realize low-dimensional rapid solution, high-precision, reproducible and high-reliability rehearsal control of the truss robot is realized, and the field debugging and operation and maintenance cost is remarkably reduced.

The invention provides a multi-mode adaptive wave simulation control system and method for a deep sleep physiotherapy cabin. Belongs to the technical field of fluid mechanics and health intervention. The method comprises the steps that multi-modal physiological parameter collection is conducted on a user on a deep sleep physiotherapy cabin, a real-time physiological data set is generated, the current sleep stage of the user is deduced through a time-frequency analysis and machine learning model on the basis of the data set, a sleep stage label is generated, a pre-trained wave mode generator is dynamically called according to the sleep stage label, and the deep sleep physiotherapy cabin is obtained. An initial set of wave parameters matching the current sleep stage is generated. By sensing the physiological state of the user in a non-contact mode, deducing the sleep stage and dynamically generating and adjusting the wave modes such as sleep guiding and deep sleep maintaining, water fluctuation accurately adapts to the physiological requirements of the user in different sleep stages, a traditional static wave mode is abandoned, highly-personalized sleep adjusting experience is provided for the user, and the sleep quality is effectively improved.

The invention relates to the technical field of automatic driving vehicle testing, in particular to a rainfall adaptive simulation control method and system for automatic driving vehicle testing. The method comprises the following steps: executing an outdoor rainfall simulation process through control parameters, and collecting behavior information of an autonomous vehicle in the simulation process; constructing a target function according to the deviation between the behavior information and expected information and the control parameters; iterating the strategy parameters by adopting a reinforcement learning framework based on a strategy gradient method and taking minimization of the target function as a target to obtain optimal strategy parameters; obtaining an optimal control parameter according to the optimal strategy parameter and the current rainfall state; and under the optimal control parameters, evaluating the performance boundary of the automatic driving system in the rainfall environment according to the behavior information of the automatic driving vehicle. According to the invention, the rainfall simulation scene with high precision and strong controllability is constructed, and the performance boundary of the automatic driving system in the rainfall scene is explored.

The invention belongs to the field of simulation optimization control, and particularly relates to a biomass gas blending combustion parameter optimization simulation control system based on combustion product prediction, and the system comprises an acquisition module which carries out data preprocessing based on multi-source pilot frequency sampling and through frequency division domain adaptive filtering and variable step size gradient descent optimization; the prediction module is used for predicting combustion product characteristic indexes through a mechanism and data driven double-layer fusion model; the control mapping module is used for obtaining a boiler control response parameter set by adopting deep reinforcement learning strategy network analysis under multi-target constraint; and the simulation adjustment module is used for loading control parameters in the digital twin platform, judging deviation based on a dynamic self-adaptive threshold value and triggering closed-loop feedback adjustment. According to the method, the problems of inaccurate pollutant prediction and control lag caused by fluctuation of biomass raw materials are solved, and feed-forward accurate control and closed-loop adaptive optimization are realized.

The invention discloses a digital twinning-based intelligent simulation control system for a power system, and the system comprises a data processing module which is used for collecting and preprocessing the operation data of the power system; the storage mapping module is used for mapping the data to the virtual architecture and generating a twin snapshot sequence; the factorization module is used for executing graph embedding and node decomposition to generate embedding features; the twinning mapping module is used for constructing a twinning mapping network and realizing bidirectional fusion; the simulation modeling module is used for executing health evolution and power flow risk modeling on the GPU to generate a knowledge graph; the strategy solving module is used for carrying out constraint calculation on the knowledge graph and screening an optimal strategy; and the deduction regulation and control module is used for generating a causal path based on graph backtracking and completing closed-loop control. Real-time mapping, intelligent deduction and self-adaptive regulation and control of the power system are realized through digital twin modeling and GPU parallel simulation, and the scheduling precision, the response speed and the operation stability are 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 virtual simulation control, in particular to a Factory IO-based metal sorting control system, which comprises a virtual production line construction module, a hardware configuration module, a joint debugging module, a task execution module and a process optimization module. According to the invention, through comprehensive analysis of operation characteristics of the conveyor belt, distribution of detection stations and signal fluctuation, signal characteristics in a material coverage area can be identified in advance, associated extraction and dynamic cooperative adjustment of equipment layout and operation parameters are realized, and through interactive identification of equipment positions, adjustable areas and trigger conditions, the accuracy of the equipment layout is improved. Adjusting points influencing sorting precision are accurately positioned, task loads and priorities are intelligently matched in task execution, efficient allocation and resource optimization of scheduling areas are achieved, scheduling paths and time intervals are dynamically evaluated on the flow level, a continuous and adjustable operation sequence is formed, and sorting efficiency and overall operation performance are improved.

The invention relates to the technical field of intelligent network connection automobile testing, in particular to a foggy day simulation control method and system for a vehicle expected function safety test, and the method comprises the following steps: S1, setting a target visibility value and a visibility deviation threshold value; s2, acquiring measurement values of a plurality of visibility sensors arranged in the test tunnel along the driving direction in real time, and acquiring a real-time water pressure value of a pressure sensor in a water supply main pipeline of the atomization unit; s3, comprehensively analyzing the measured values of the plurality of visibility sensors, and determining the current average visibility; s4, comparing the target visibility value with the current average visibility, and determining the visibility deviation; s5, executing a hierarchical control strategy according to a comparison result of the visibility deviation and a threshold value; and S6, circularly executing the steps S2 to S5 until the simulation test task is finished. According to the invention, a control logic of closed-loop feedback and hierarchical decision is constructed, and a reliable environment reference is provided for SOTIF testing.

The invention relates to a high-altitude cabin air inlet system active-disturbance-rejection control method based on an improved rapid super-spiral sliding mode and differential flatness, and belongs to the technical field of aero-engine high-altitude simulation control. The method comprises the following steps: establishing a high-altitude cabin air inlet system model; according to the established system model, the temperature and pressure coupling control problem is solved by using the differential flatness characteristic of the system; designing an improved rapid super-spiral sliding mode controller for the active disturbance rejection temperature and pressure decoupling control system to obtain an improved rapid super-spiral sliding mode active disturbance rejection temperature and pressure decoupling control system; the improved rapid super-spiral sliding mode active disturbance rejection temperature and pressure decoupling control system generates control input signals according to system temperature and pressure environment parameter output signals. The control input signal is input into the high-altitude cabin air inlet system, the high-altitude cabin air inlet system operates, and temperature and pressure environment parameter output signals are obtained. According to the invention, the problem of strong airflow interference in the rapid transition state test of the high-altitude cabin air inlet environment simulation system can be solved.

The invention relates to the technical field of simulation control, in particular to a water quality adaptability simulation control method based on a fishery breeding scene. The method comprises the following steps: acquiring real-time water quality monitoring data, cultured organism growth state data and environmental meteorological data corresponding to a fishery culture water area, performing standardized preprocessing, and constructing a water quality-organism-environment multi-dimensional incidence matrix; constructing a water quality adaptability simulation model by using the water quality-biology-environment multi-dimensional incidence matrix, simulating corresponding water quality parameter evolution processes under different environment variable combinations, and generating a water quality dynamic simulation data set; determining an optimal water quality parameter interval based on the water quality dynamic simulation data set; according to the optimal water quality parameter interval, a dynamic regulation and control strategy is formulated for comparative analysis, and a water quality regulation and control deviation value is generated; based on the water quality regulation and control deviation value, driving water quality regulation equipment corresponding to the fishery breeding water area to execute adaptive control operation and display. According to the invention, the water quality control efficiency of fishery breeding can be improved.

The invention discloses a dual-mode carrier module comprehensive performance application evaluation test system and a test method thereof, and a dual-mode communication simulation unit is used for accessing a to-be-tested dual-mode communication module in a shielding environment, and constructing a reconfigurable virtual communication network; the programmable interference injection unit is used for injecting configurable noise and interference signals into a specified communication link in the virtual communication network; the deepening application simulation unit is used for simulating physical topology and dynamic working conditions of a real power grid; the deepening application simulation unit at least comprises a multi-zone power supply simulation module, a working condition simulation control module and a hardware performance excitation module; and the central control and evaluation unit is used for configuring a test scene, automatically executing a combined test process, collecting and recording multi-dimensional data in a test process and carrying out association analysis and comprehensive evaluation. According to the invention, a simulation test platform with reconfigurable hardware, definable software and integrated test is constructed, and the depth and efficiency of test diagnosis are greatly improved.

The invention belongs to the technical field of simulation control, and particularly discloses a source-network-load-storage integrated park multi-energy-flow collaborative digital twinborn simulation control method, which comprises the following steps: obtaining real-time operation state data of a target park; performing hierarchical virtual mapping on the target park, and constructing a cooperative control digital twinborn body of the target park; performing multi-constraint coordination planning on the source network load storage resources of the target park to obtain a preliminary coordination control strategy of the target park; performing prospective deduction simulation on the preliminary cooperative control strategy, and identifying a safety out-of-limit event and a strategy conflict point in a simulation environment after simulation; performing simulation feedback optimization on the preliminary cooperative control strategy to obtain an optimization control strategy of the target park; and analyzing the optimization control strategy into a cooperative control instruction of the target park, and transmitting the cooperative control instruction to a control terminal of the target park. According to the invention, precision, security and high efficiency of multi-energy flow cooperative control of the source-network-load-storage integrated park can be realized.

This utility model discloses a simulation device for testing the functional interface circuits of a simulating mobility scooter. It includes a controller with various functional interfaces, a plastic housing for testing the simulation interfaces, and a circuit board for interface simulation control connectors. A power enable switch, a simulated manual brake switch, an electromagnetic brake switch, a speed switching mode switch, a speed control potentiometer, an adjustable resistor mounting position, a horn, a working status indicator light, and CAN converter connector terminals are all electrically connected to the interface simulation control connector circuit board. The controller connector terminals are electrically connected to the controller with its various functional interfaces via an adapter cable. The working status indicator light is used to detect and indicate whether the operation is normal. This device simplifies and reduces the cost of testing the controller's functional interfaces and allows for simulated monitoring of the lifespan of the simulating mobility scooter's functions after functional testing.

The invention belongs to the technical field of teaching and practical training scene simulation control, and particularly discloses a teaching and practical training scene simulation control method based on a PLC technology, and the method comprises the steps: constructing a fault mode library containing low, medium and high levels, randomly distributing faults from the low fault level, loading a simulation scene, collecting fault recognition response duration, and adjusting an operation sequence. After the sequence is executed, the diagnosis accuracy is verified, the fault recovery degree is evaluated, the practical training operation qualification degree is generated according to conditions, promotion is judged according to the qualification degree, the fault level is dynamically adjusted, and a student comprehensive ability evaluation report is generated based on the previous qualification degrees after iteration; according to the method, the fault mode library containing the low fault level, the middle fault level and the high fault level is constructed based on the historical power operation data, the fault level distributed subsequently is dynamically adjusted according to the practical training operation qualification degree, the defect of a static preset fault situation is overcome, and therefore a personalized and progressive skill advanced path is achieved.

The invention provides a simulation system of train vehicle equipment and vehicle-mounted controller interface equipment, which can realize simulation of the train vehicle equipment and the vehicle-mounted controller interface equipment through a simulation control module, and a speed sensor simulation module realizes calculation of a speed sensor signal simulation value and generates a corresponding speed sensor signal. The PWM signal acquisition module is used for acquiring train traction / braking force output by a vehicle-mounted controller in a PWM signal form, the accelerometer simulation module is used for generating accelerometer signals, and the train line signal simulation module is used for driving / acquiring train line signals; the signal conditioning module realizes conversion and adaptation between output / input signals of the multiple functional modules and input / output signals of the vehicle-mounted controller module, can reduce coupling among the functional modules, improves real-time performance of simulation data calculation, reduces calculation load of simulation data calculation, and improves simulation data calculation efficiency. The accuracy of simulation data and the verisimilitude of changes are improved, and the sufficiency and effectiveness of injection faults can also be improved.

The invention discloses a simulation method and system of a digital twinning system, a product, equipment and a storage medium, and relates to the field of digital twinning, and the method comprises the steps: extracting each control target identifier and control intention parameter in a simulation control instruction through employing a preset large language model, and calling a preset quantum graph search algorithm based on the control target identifier to determine a target entity corresponding to the control target identifier in the twin map, and performing simulation control operation on the target entity based on the control intention parameter. According to the method, the preset large language model is configured to extract the control intention parameter containing the deep semantics and the control target identifier, and the quantum output state after the target entity executes the action is obtained by using the preset quantum feature extraction model during the simulation control operation, so that the extraction of the complex parameter relationship of the physical system on the quantum level is realized; and finally, the predicted operation state of the digital twin system is determined based on the quantum output state by using the preset multi-layer perceptron, so that the simulation precision and efficiency of the digital twin system are improved.

According to the semiconductor bonding equipment operation control method and the chip alignment virtual simulation control method provided by the invention, the bonding parameter range is determined by combining the user authority, the to-be-processed bonding chip parameter and the current operation state of the bonding equipment, the optimal bonding process parameter is output, and the input bonding process parameter is limited and adjusted; in combination with the process automation model, the bonding parameters fed back by the user click the corresponding operation interface component or are input into the corresponding frame, so that the learning time and the operation time of the user on the operation interface of the bonding equipment are shortened, and the efficiency and the accuracy of using the bonding equipment are improved; in the chip alignment step, the step length corresponding to each operation step is adjusted in combination with aligned precision simulation, the range in which a user can operate the chip to move in each precision alignment stage is changed, adjustment of the user in a higher-precision alignment stage does not affect a previous low-precision alignment result, meanwhile, adjustment of double focal lengths and relative angles is simulated, and the alignment precision is improved. Therefore, the efficiency of the chip alignment step in actual operation is improved.

The invention discloses a spectrum simulation control method and system for all-weather illumination and a storage medium, and belongs to the technical field of illumination control, and the method comprises the steps: constructing a reference spectrum model with solar terms, time and weather conditions as indexes, the model being established based on multi-band solar spectrum data of a target area and associated environmental parameters; configuring a composite LED light source covering ultraviolet, visible and infrared bands, calling the reference spectrum model in combination with the current solar term, time and environmental parameters, and resolving to generate a multi-channel driving signal to drive the light source to fit a target spectrum; and closed-loop control is formed through real-time feedback and correction of the spectrum sensor. The system for realizing the method comprises a data acquisition and modeling module, a spectrum fitting and control module, a composite LED light source module and other core units. The system can reproduce a natural spectrum in a high-fidelity manner, has dynamic self-adaption, all-weather coverage and personalized adjustment capabilities, is stable and reliable in operation, and can be widely applied to various illumination scenes.

The utility model relates to a resistance simulation circuit for testing, a communication device and a testing system, the resistance simulation circuit comprises a connecting end, a resistance simulation feedback module and an electrical parameter control module, the resistance simulation feedback module is connected with the connecting end to detect at least one specified electrical parameter of the connecting end; the resistance simulation feedback module is connected with the resistance simulation control module so as to feed back the detection result of the at least one specified electrical parameter to the resistance simulation control module; the electrical parameter control module is directly or indirectly connected with the processing module so as to receive resistance simulation target information output by the processing module; the processing module is configured to be capable of directly or indirectly communicating with a host; and the resistance simulation control module is connected with the connecting end so as to form the specified electrical parameters at the connecting end.

The invention relates to the technical field of compressed air energy storage, and discloses a test system for simulating the stability of a compressed air energy storage chamber, which is characterized in that a ground stress simulation module and a high-pressure air loading control module respectively receive instructions of a multi-working-condition simulation control module and apply geological load and high-pressure gas to a chamber structure simulation module; meanwhile, corresponding real-time data are fed back; the chamber structure simulation module generates mechanical response and outputs data to the multi-field coupling data monitoring module; the monitoring module collects multi-field data, processes the data and then synchronously transmits the data to the multi-working-condition simulation control module and the stability evaluation module; the multi-working-condition simulation control module is combined with monitoring data and optimization feedback and issues an instruction to realize closed-loop regulation and control; and the stability evaluation module quantifies the stability of the chamber, generates a report and feeds back optimization suggestions to the multi-working-condition simulation control module. The method is suitable for various geologic bodies, the mechanical response of the chamber structure under the complex working condition is reproduced, the stability evolution law is captured, and data support is provided for design optimization of an air energy storage power station.

This application discloses an application fault detection method, apparatus, and computer-readable storage medium. It can identify the target application marked in the focus window of a display interface; record the transmission time when sending a simulated control signal to the target application, the simulated control signal being used to instruct the target application to run a preset simulated logic corresponding to the focus window; if a completion notification corresponding to the preset simulated logic is received from the target application, the reception time of the completion notification is recorded, and the duration of the simulated event when the target application processes the simulated control signal is calculated based on the transmission and reception times; if the duration of the simulated event exceeds a preset time threshold, a response fault sub-event for the focus window is generated, and the response fault sub-event is updated to a preset record table corresponding to the target application; based on the updated preset record table, the fault information of the target application is determined. In this way, application faults can be detected in a timely manner, improving the efficiency and accuracy of application fault detection.

The invention discloses a multi-valve equipment continuous variable mach number test control method and system, and belongs to the technical field of wind tunnel aerodynamic force tests. The invention aims to solve the problem of regulation and control strategies of test key parameters of multi-valve equipment. The method comprises the following steps: establishing an initial physical relationship model of valve opening and Mach number, and correcting based on a machine learning algorithm; a traditional PID controller, a fuzzy PID controller and a neural network PID controller are integrated, a simulation control system is constructed, and the output of the simulation control system is the valve opening degree; building a combined control system; defining multi-objective optimization parameters of the combined control system; optimizing the multi-objective optimization parameters by adopting a particle swarm algorithm or a genetic algorithm, and solving an optimal multi-objective optimization parameter set; and outputting a control result of the continuous variable Mach number test of the multi-valve equipment based on the multi-target optimization parameter set, and realizing adaptive control of the continuous variable Mach number test. According to the invention, adaptive regulation and control of key parameters are realized, the test efficiency, precision and safety are improved, and support is provided for verification of a combined power technology.

The invention provides a virtual grid nitrogen storage and oxygen control system simulation optimization method and system combined with digital twinning, and belongs to the technical field of nitrogen storage and oxygen control system.The method comprises the steps that firstly, cross-domain dynamic coupling association of a physical nitrogen storage and oxygen control system and a virtual grid nitrogen storage and oxygen control model is built, related data is collected, and a coupling simulation control instruction is generated; then driving the virtual model to execute grid node co-simulation operation, and generating a multi-dimensional simulation data set; then, layered deviation analysis is conducted on the multi-dimensional simulation data set and a physical system actual operation data set, and core grid parameters influencing oxygen control stability are positioned; designing a parameter adaptive optimization rule system according to core grid parameters, and adjusting virtual model grid node configuration parameters to generate an optimization parameter set; and finally, the optimization parameter set is loaded to the virtual model for closed-loop simulation verification, a simulation optimization scheme meeting the oxygen control precision and energy consumption cooperation requirement is generated, a physical system execution control instruction is generated according to the simulation optimization scheme, the physical system execution control instruction is transmitted to an execution assembly, and comprehensive optimization of the nitrogen storage and oxygen control system is achieved.

The invention relates to the technical field of brewing process intelligent control, and discloses an artificial intelligence-based deer wine production process optimization control method. The method comprises the following steps: configuring a multi-source sensing unit array integrated with a thermosensitive sensor, a humidity-sensitive sensor and an image collector, and synchronously collecting temperature, humidity and appearance data in a fermentation process; carrying out multi-modal feature fusion through a machine learning fusion engine, and generating a production state evaluation vector; constructing a virtual simulation platform for operating a physical mechanism model, and performing simulation deduction based on the vector to generate a simulation control signal; deploying an edge computing control grid, and generating a control strategy in real time by each node according to local data; and integrating the information through the data exchange middleware, and analyzing and optimizing the control instruction stream. According to the method, interactive optimization of digital simulation and a physical process and cooperative control of center planning and edge execution are realized, and the accuracy, the adaptability and the product stability of production process control are improved.

The application belongs to the technical field of teaching practical training scene simulation control, and specifically discloses a teaching practical training scene simulation control method based on PLC technology, which comprises the following steps: constructing a fault mode library containing low, medium and high levels, randomly distributing faults from the low fault level, loading a simulation scene, collecting fault identification response time and adjustment operation sequence, verifying diagnosis accuracy and evaluating fault recovery degree after executing the sequence, generating a practical operation qualification degree according to different conditions, then judging promotion and dynamically adjusting the fault level according to the qualification degree, and generating a student comprehensive ability evaluation report based on the qualification degrees in the previous iterations; the application constructs a fault mode library containing low, medium and high fault levels based on historical power operation data, and dynamically adjusts the fault level to be distributed subsequently according to the practical operation qualification degree, thereby overcoming the defects of static preset fault situations, and realizing a personalized and gradual skill upgrading path.

This application provides a docking simulation system and method. The docking simulation system includes a six-degree-of-freedom (6DOF) platform structure, a monitoring structure, and a simulation control structure. The 6DOF platform structure is electrically connected to both the monitoring and simulation control structures. The 6DOF platform structure includes a main platform and a slave platform positioned below the main platform. The monitoring structure is electrically connected to the simulation control structure, and is used to acquire motion state information of the main and slave platforms and send it to the simulation control structure. The simulation control structure is used to drive the main and slave platforms to move according to a preset ideal motion trajectory and generated random offsets, combined with the motion state information. This application reproduces the "dual-disturbance" coupling environment of low-frequency large-amplitude motion of a surface mother ship and high-frequency small-amplitude jitter of an underwater platform, significantly improving the consistency between the test conditions and the real marine environment, and increasing the testing efficiency of docking simulation.

The invention relates to a discrete manufacturing workshop production simulation modular modeling method, which comprises the following steps of: establishing a modular model of production elements, and setting in functional attributes and a control method; establishing a modular model of a product, and setting in technological process attributes; based on the workshop layout, taking out a corresponding production element model from the module library, and constructing a production simulation model; on the basis of the technological process, a proposed discrete manufacturing workshop production and logistics simulation control method is adopted, corresponding production and logistics resources are called, production and circulation of products among different working procedures are achieved, and workshop full-process and full-factor production simulation is achieved; production simulation information is counted, production performance is analyzed, man-machine interaction adjustment and multi-factor experiments are carried out, and the production process and production resource configuration are optimized. The problems that current production simulation modeling is large in difficulty and long in period, and accuracy is difficult to guarantee are solved, discrete manufacturing workshop production and logistics simulation model modularization rapid construction is achieved, modeling efficiency is improved, and workshop production performance is optimized.

The invention discloses a daisy chain simulation board card and a battery management system hardware-in-the-loop test method, the daisy chain simulation board card is connected between a simulation control server and a BMS controller, test data sent by the simulation control server is received through a real-time communication module, the test data is cached in a cache module, and the cache module is connected with the BMS controller. The signal conversion module obtains a daisy chain instruction signal sent by the BMS controller and feeds back a daisy chain response signal to the BMS controller, the signal processing module analyzes the daisy chain instruction signal, and the read-write control module executes corresponding read-write operation on the cache module according to an analysis result. The daisy chain simulation board card can simulate a BMS slave board to communicate with a real BMS controller (a main board and / or slave board), BMS daisy chain communication simulation is achieved, the BMS daisy chain simulation board card is applied to HIL testing, the requirement for independent and rapid testing of the main board can be met, the development period of the BMS controller can be shortened, testing equipment can be simplified, and the equipment purchasing cost can be reduced.

The present application relates to the field of rocket engine nozzle testing, and particularly relates to a flexible rocket engine nozzle cold swing test simulation test system and a test method thereof, the system comprising a pressure vessel, a servo mechanism, an inclinometer, a linear displacement sensor and a real-time simulator, the pressure vessel provides a cold pressurized environment, the servo mechanism drives the nozzle to swing, the inclinometer calibrates the swing angle, and the linear displacement sensor detects the swing and outputs an analog signal. During testing, the swing angle-voltage relationship is calibrated through the inclinometer and the linear displacement sensor; then the real-time simulator sends a sine instruction to drive the nozzle to swing, and synchronously collects the displacement signal, analyzes the dynamic characteristics of the servo mechanism and the coordination with the nozzle. Through the swing angle-voltage equation obtained by calibrating the swing, combined with continuous attitude simulation controlled by the simulator, the nozzle swing angle data is calculated, and the dynamic response of the servo mechanism under the pressurized condition is evaluated, the present application can truly reflect the continuous swing working condition of the nozzle, and improve the reliability and authenticity of the test data.