420 results about "Systems simulation" patented technology

The invention belongs to the technical field of analog simulation, and particularly relates to an intelligent simulation system with an autonomous decision-making capability, which comprises simulation management used for task scene initialization, system parameter configuration and simulation process control and operation. The display system is used for 2D / 3D visual display and playback of simulation results; the model implementation system is connected with the simulation management and display system and is used for implementing a target model and a flight mode model according to configuration parameters; the intelligent target generation system is used for automatically generating a maneuvering combination strategy, a task load control strategy and a radar control strategy according to the simulation situation information generated by the model implementation system, and feeding back the maneuvering combination strategy, the task load control strategy and the radar control strategy to the model implementation system to drive simulation deduction; wherein the system can execute a plurality of simulation modes including large sample space random task simulation, task simulation without autonomous capability level and task simulation with certain autonomous capability level according to simulation types set by the simulation management and display system.

The invention provides a flange assembly predictive maintenance method based on residual life distribution dynamic identification, which comprises the following steps: firstly, establishing a linear Wiener model of a flange assembly degradation process, and designing a Bayesian parameter dynamic updating mechanism based on normal-inverse gamma conjugate prior; secondly, deducing residual life complete probability distribution considering parameter uncertainty through a Monte Carlo sampling method, overcoming the limitation of point prediction, and providing a maintenance decision rule based on a time-probability threshold; and finally, establishing a decision parameter optimization model with the goal of minimizing the long-term average cost rate, and solving an optimal maintenance strategy through system simulation. Compared with the prior art, the residual life prediction accuracy is remarkably improved, the maintenance cost and the equipment reliability are effectively balanced through a probabilistic decision-making mechanism, the full-life-cycle maintenance cost is remarkably reduced while the flange sealing safety is ensured, and the method has important popularization value in engineering equipment predictive maintenance.

The invention discloses a water conservancy project ecological construction method and system based on artificial intelligence, and relates to the technical field of ecological system simulation, and the method comprises the steps: collecting historical ecological event data of each region of a water conservancy project, analyzing the causal association between events based on an artificial intelligence model, and calculating and dynamically updating the association degree index between any two regions; constructing a regional association network based on the association degree indexes, calculating core scores of nodes in the network to identify a core region, and dynamically improving the monitoring sampling frequency of ecological data for the core region; and when an abnormal state is monitored in a single region, predicting the abnormal risk probability of other regions, and generating and recommending an optimal coping plan. Compared with the prior art, the method has the advantages that by constructing a dynamic regional correlation analysis system, the mutual influence between ecological regions is quantified, the monitoring resources are distributed uniformly to be intelligently and optimally configured based on the network core degree, and the monitoring efficiency and the capturing capacity of key information are remarkably improved.

The invention discloses a power system simulation analysis intelligent agent system and a simulation analysis method. According to the method, the power system simulation analysis intelligent agent system comprises an interface layer used for receiving a user instruction and feeding back a task result in multiple modes; the workflow layer comprises a main agent and is used for analyzing a user instruction and generating and driving workflow for executing simulation analysis according to the task knowledge base; the skill layer comprises a plurality of sub-agents and is used for packaging and executing specific sub-tasks in the workflow; the tool / knowledge layer is used for providing a standardized calling interface for external tools and storing data and knowledge required by task execution; and the business system layer comprises one or more existing power system simulation business systems and is used for providing basic data, computing services and interaction components for the tool / knowledge layer.

The invention provides a model-based reusable vehicle fault joint simulation method, which comprises the following steps of: (1) creating fault mode information according to the composition and connection relationship of a system simulation model, and summarizing to form a fault mode information set associated with the model; (2) analyzing a logic causal relationship between fault events, and establishing a system-level fault mode library based on fault mode information; (3) aiming at a joint simulation requirement, screening out a fault mode needing to be injected from the fault mode library, establishing a relationship between fault mode information and a simulation model through a model grammar rule, and generating a fault model; and (4) according to the requirements of fault combination, fault time and fault injection probability in the simulation of the reusable vehicle, completing fault simulation setting, and carrying out fault joint analog simulation. According to the method, automatic mapping and injection of fault information based on the model are realized, and the analogue simulation requirements of the reusable vehicle under large-scale, cross-system and cross-linking coupling faults are met.

The invention discloses a power electronic dynamic system simulation model generation method, and belongs to the field of power electronics. Performing fine adjustment on the basic model to establish a simulation general large model; analyzing a simulation demand input by a user by utilizing the trained simulation large model, and generating a structured design intention map; inputting the structured design intention graph into the simulation large model, generating a simulation model basic instruction sequence or an execution code, and utilizing simulation model creation software to execute the instruction sequence or the execution code to create a simulation basic model; and carrying out automatic verification and iterative optimization on the simulation basic model by adjusting parameters, so that the simulation basic model outputs the capability of the simulation model with the optimal performance, and completing the generation of the power electronic dynamic system simulation model. Natural language driven modeling is achieved through the large simulation model, the technical threshold is lowered, the development period is shortened, the generated model can be directly integrated into a power electronic dynamic system simulation software environment, and the method is suitable for education, scientific research and industrial application.

According to a method to aid installation of large-scale BESS in a power network, a hyperparameter optimization engine generates a feasible configuration of BESS defined by location and sizing parameters subject to an installation constraint. A power system simulation engine conducts an energy market simulation for the power network with the generated configuration over a defined simulation horizon to determine a configuration value. The power system simulation engine comprises one or more subroutines characterizing the impact of the BESS on the market clearing mechanism, to compute an expected generation cost associated with the BESS. The configuration value is determined based on the expected generation cost and a total installation cost of the BESS. The hyperparameter optimization engine is iteratively executed to generate an updated configuration based on the configuration values of previous configurations, to determine a final configuration of BESS defined by a set of optimal location and sizing parameters.

The invention discloses a method for improving the performance of double-independent quantum key distribution of actual reference system measurement equipment, belongs to the technical field of quantum key distribution (QKD), and aims to improve the performance of the double-independent quantum key distribution when non-ideal factors such as a post-pulse effect of a detector and finite sample statistical fluctuation are considered. The invention relates to a method and a system for improving the performance of a reference system measurement device by introducing an advantage extraction technology into a double independent quantum key distribution (RFI-MDI-QKD) protocol of the reference system measurement device. Simulation results show that when the post-pulse effect and the statistical fluctuation effect are considered, the advantage extraction method can effectively improve the security key rate and the security transmission distance of the RFI-MDI-QKD protocol on the premise of not changing optical hardware. According to the invention, a valuable reference technology can be provided for practical research of the RFI-MDI-QKD system.

The invention discloses an in-library sorting operation system simulation optimization method, equipment and a medium. The method comprises the following steps: step S01, constructing a simulation model of an in-library sorting operation system; s02, sorting task simulation training is carried out in the constructed simulation model based on a deep reinforcement learning model of a double-target network, and state parameters of all sorting stations in the simulation training process are obtained; s03, according to the state parameters, obtained in the step S02, of all the sorting stations, identifying nodes needing to be optimized in the production line structure of the simulation model, and according to the identified nodes needing to be optimized, constructing a shunting path to obtain an optimization scheme of the production line structure; and step S04, performing optimization reconstruction on the topological structure of the simulation model according to the obtained optimization scheme, and generating an optimized simulation model. According to the method, the sorting performance can be systematically improved, the sorting accuracy and efficiency are balanced, and meanwhile it is ensured that the optimization effect is continuous and stable.

The invention discloses a water-electricity coupling system toughness evaluation method considering drought risk evolution, and relates to the technical field of water-electricity coupling systems. Comprising the following steps: S1, modeling a water-electricity coupling system network; s2, modeling based on seepage water-electricity coupling network drought risk propagation; and S3, carrying out system simulation and toughness evaluation on the water-electricity coupling system network on the basis of the two models. According to the method, a heterogeneous weighted double-layer network model is constructed, a cross-scale dynamic modeling method is developed, a seepage theory and physical flow are dynamically combined, a two-way seepage equation of disaster cascade propagation is established, a toughness evaluation framework based on the seepage theory is provided, and laws of different coupling effects of a water-electricity system are disclosed; and a scientific basis can be provided for risk assessment, toughness improvement and emergency management strategy formulation of the key infrastructure.

A method for conditioning and maintaining power with predictive load compensation using an uninterruptible power supply system is disclosed. The method includes measuring an electrical input from a primary power supply using analog sensors and transmitting the input through an impedance to introduce a controlled delay. During the delay, input parameters and downstream system effects are determined based on telemetry sensor data. Digital identities are generated for the electrical input and the downstream load and compared to a stored digital identity representing historical conditions. Using the comparison, a system simulation is performed with analog twinning to predict downstream system responses. The predicted response is used to adjust a power converter parameter, modifying the electrical input to an intermediate output that compensates for voltage fluctuations and harmonic distortions. A secondary power supply with a bidirectional high-discharge battery supplements or stores energy as needed, ensuring stable power delivery to the downstream load.

The invention discloses an atmospheric turbulence phase screen generation method based on layered physical constraints, and belongs to the crossing field of optical communication and artificial intelligence. According to the method, a diffusion probability model is combined with layered atmospheric physical constraints, independent physical constraint loss functions are established for a boundary layer, a troposphere and a stratosphere of the atmosphere, and it is ensured that a generated phase screen conforms to turbulent flow statistical characteristics of all layers through power spectrum density constraints and structure function constraints; enhancing feature learning of each layer of phase screen by adopting a physically guided attention mechanism; and designing a time-dependent constraint weight strategy, and adaptively adjusting the physical constraint strength in the diffusion denoising process. The method solves the technical problems that the vertical layering difference is ignored, the physical consistency is insufficient, and the generation quality depends on a large amount of labeled data in the existing method, is particularly suitable for high-fidelity atmospheric turbulence modeling of a satellite laser communication link, and can also be widely applied to the fields of free space optical communication system simulation, adaptive optical system design and the like.

The invention relates to a multi-vehicle automatic driving simulation system and method supporting DORA middleware, and belongs to the technical field of automatic driving. The system comprises a simulation platform and a domain controller group. The simulation platform comprises a multi-vehicle Dora-bridge, traffic scene simulation software and vehicle dynamics simulation software, the multi-vehicle Dora-bridge receives multi-vehicle state data, sensor data and vehicle cooperative control information generated by the traffic scene simulation software, and the multi-vehicle Dora-bridge publishes the multi-vehicle state data, the sensor data and the vehicle cooperative control information in the form of a DORA topic for each domain controller to subscribe; meanwhile, control instructions issued by the domain controllers in the form of DORA topics are received and issued to the vehicle dynamics simulation software. The domain controller group comprises a plurality of domain controllers, each domain controller corresponds to one automatic driving vehicle, and software of the domain controller group consists of a plurality of DORA function nodes to realize an automatic driving function. According to the invention, an effective solution is provided for simulation of the multi-vehicle automatic driving system based on the DORA middleware, the development efficiency is improved, and the development cost is reduced.

The invention discloses a search and rescue type aircraft search and rescue system and method. The system comprises a task environment modeling subsystem, a scheme auxiliary generation subsystem, a simulation resolving subsystem, a visualization subsystem and a task rehearsal simulation verification subsystem. The task environment modeling subsystem is used for performing task environment modeling; the scheme auxiliary generation subsystem is used for generating a search and rescue scheme; the simulation resolving subsystem is used for carrying out search and rescue scheme optimization; the visualization subsystem is used for carrying out simulation process visualization and providing a man-machine interaction interface; and the task rehearsal simulation verification subsystem is used for realizing human-in-the-loop task rehearsal simulation verification. By accurately simulating various marine accident scenes, optimizing a search and rescue scheme and resource allocation, and improving the personnel training effect and the multi-department cooperative ability, the marine search and rescue efficiency is effectively improved, the life and property safety is guaranteed, the environmental pollution is reduced, and the development of the marine search and rescue technology and theory is promoted.

The application discloses a train braking system distributed cooperative analysis platform, which comprises a system simulation area, a data acquisition area, a data intelligent analysis area and the like. The data acquisition area acquires vehicle data and transmits the vehicle data to the system simulation area. The system simulation area outputs vehicle simulation data through model-in-loop simulation, rapid control prototype simulation and hardware-in-loop simulation according to the vehicle data. The data intelligent analysis area performs fault diagnosis on a train braking system according to the vehicle data and the vehicle simulation data, and outputs a solution to eliminate faults according to a diagnosis result. The application takes an electronic brake control unit, a pneumatic brake control unit, a basic brake unit and other key components as main control objects, establishes a train braking system distributed cooperative analysis platform based on model simulation and big data analysis, and solves problems existing in system design, system test verification and system operation and maintenance.

The application discloses an airplane hydraulic servo actuating system simulation method based on digital twinning, and the method comprises the following steps: (1) constructing a digital twinning hydraulic simulation model and a digital twinning three-dimensional visual model of an airplane hydraulic servo actuating system physical system; (2) storing simulation model output data of a monitoring point of the digital twinning hydraulic simulation model and sensor acquisition data of the airplane hydraulic servo actuating physical system in real time and synchronously to form twinning data; (3) comparing and analyzing the simulation model output data and the sensor acquisition data, iteratively optimizing the digital twinning hydraulic simulation model through a model optimization module, and simultaneously performing three-dimensional visual demonstration on the working condition of the airplane hydraulic servo actuating virtual model. The application can provide a simulation modeling and optimization method for airplane hydraulic servo actuating system design, and provide a reference for research and verification of virtual-real mapping technology of the airplane hydraulic servo actuating system based on digital twinning.

The invention discloses an alternating-current and direct-current hybrid power transmission network rack optimization evaluation method and system, which are used for solving the technical problems that a traditional alternating-current and direct-current hybrid power transmission network rack evaluation method depends on static parameters or empirical data, cannot dynamically respond to cross-regional load fluctuation and the like, is difficult to cope with risks, and causes low quality of a rack scheme. The method comprises the following steps: generating comprehensive evaluation indexes of a plurality of grid schemes according to acquired operation data of an AC / DC hybrid power transmission network by adopting power system simulation software; constructing a fuzzy evaluation matrix of each grid scheme according to the comprehensive evaluation index of each grid scheme by adopting an improved descending semi-trapezoidal membership function and a Gaussian membership function; calculating a target weight corresponding to the comprehensive evaluation index of each grid scheme; and according to the target weight corresponding to the comprehensive evaluation index of each grid scheme and the fuzzy evaluation matrix, calculating the comprehensive score of each grid scheme, and selecting the grid scheme with the maximum comprehensive score as the target grid scheme of the AC / DC hybrid power transmission network.

The invention discloses a wind turbine generator multi-stage self-adaptive droop control method considering rotor kinetic energy constraint and frequency change rate, which comprises the following steps: 1, constructing a rotation speed influence factor based on a Logistic function, mapping a rotor rotation speed into a frequency modulation contribution coefficient, and quantitatively evaluating a rotor kinetic energy releasable range of a fan under different operation conditions; 2, designing a self-adaptive droop control strategy based on a segmented frequency change rate, adjusting a droop coefficient in real time by identifying a frequency change rate interval, forming a hierarchical response mechanism, providing strong active support in a sharp frequency drop stage to quickly suppress frequency drop, and converting into moderate support in a frequency recovery stage to maintain stability and prevent secondary drop; and 3, building a wind-fire combined system simulation model, and verifying the effectiveness of the provided strategy in the aspects of improving the frequency response characteristic of the system and improving the frequency stability through a multi-scene contrast experiment. According to the method, the frequency regulation capability of the power system under the high wind power permeability can be remarkably enhanced.

The invention provides an intelligent identification method and equipment for a simulation error dominant area of a power system, relates to the technical field of power systems, and solves the problems of unstable aggregation result, limited partitioning hierarchy, insufficient dynamic feature expression, lack of credibility feedback and the like in simulation error identification of the power system in the prior art. According to the scheme, a power grid weighted adjacency matrix is constructed; performing spectrum serialization and preliminary node rearrangement; community priority partitioning and intra-block optimization are carried out; performing hybrid dynamic simulation and credibility evaluation; and multi-level block recursion and error locking are carried out. According to the method, the weighted adjacency matrix with line impedance or admittance as the weight is constructed, so that mathematical layering and node coupling feature mapping of the power grid are realized; the method comprises the following steps of: extracting a sub-matrix from an error salient region, repeatedly executing spectrum aggregation and community division, realizing automatic locking of an error dominant node, forming a closed loop structure of spectrum aggregation-decoupling-simulation-feedback in combination with hybrid simulation feedback, and realizing multi-level error identification from global to local.

The invention provides a simulation method and system for a solar ground source heat pump system, and relates to the technical field of solar ground source heat pump system simulation, and the method comprises the steps: firstly obtaining a soil initial temperature field, and calculating the soil temperature cumulative variation in a future time period through a one-dimensional radial simplified heat transfer model in combination with a predicted load; defining as a soil thermal imbalance risk index; according to comparison between the index and a preset threshold value, selecting an efficiency priority strategy with solar energy immediate utilization as priority or a heat balance priority strategy with soil temperature field adjustment as priority; linkage rules of all subsystems are determined according to a selected strategy, the net heat exchange amount of a geographical pipe heat exchanger and the net heat storage / release amount of a heat storage device are calculated by jointly solving a dynamic model, and then the soil temperature field and the state of the heat storage device are updated; and the simulation step length is iteratively propelled until the period is ended, and finally, the system energy efficiency coefficient, the soil heat balance degree and the time-varying curve of the key parameters are output.

The invention relates to the field of power system simulation, and provides a self-adaptive mixing precision calculation method, system and device and a storage medium, applied to a multi-type programmable chip cooperation system, the method comprises the following steps: receiving runtime monitoring information returned by a multi-chip cooperation controller and a precision gateway through an intelligent precision manager, updating precision configuration information and a gateway conversion strategy according to the monitoring information during operation; decomposing the target calculation task into a plurality of sub-tasks through the multi-chip cooperative controller according to the precision configuration information, and mapping each sub-task to a target programmable chip corresponding to each precision partition; wherein when cross-precision transmission of data exists, data conversion and error control are carried out through the precision gateway according to the gateway conversion strategy, and an output result is obtained. According to the method, fine-grained identification and precision configuration can be realized, standardized conversion and error suppression are realized in a cross-precision boundary, closed-loop cooperation is carried out, and self-adaptive cooperative calculation of mixed precision is realized.

The embodiment of the application discloses a hardware accelerator whole system performance evaluation method and device facing high-level synthesis, which comprises the following steps: constructing a cycle-accurate and event-driven hardware accelerator simulation model based on the intermediate representation and static timing report generated by HLS; executing the hardware accelerator simulation model in the whole system simulator through the accelerator simulation object, so as to convert the timing and operation defined by the hardware accelerator simulation model into simulation events in the event queue of the whole system simulator and schedule and execute; collecting cycle-accurate simulation statistical data generated in the running process of the hardware accelerator simulation model in response to the scheduling and execution of the simulation events; and generating a performance evaluation report and a function verification result of the hardware accelerator based on the simulation statistical data and the function execution result of the hardware accelerator simulation model. The embodiment of the application can efficiently and accurately evaluate the performance of the hardware accelerator generated by HLS, so as to realize true hardware-software co-design and optimization.

The invention provides a training method and device of a simulation test model, and relates to the technical field of nuclear power simulation. The method comprises the following steps: acquiring historical test operation sequence information and historical test result information in a historical test procedure; acquiring feature information of the nuclear power plant simulation system; the historical test operation sequence information and the historical feature information are subjected to feature fusion and then input into a simulation test model, and first test result information is obtained; and training the simulation test model according to the historical test result information and the first test result information. Through training, the simulation test model learns to obtain the capability of predicting the test result corresponding to the test operation sequence information based on the characteristic information of the system, the method can adapt to different states of the nuclear power plant simulation system, and the test result is accurately predicted. The efficiency, accuracy and adaptability of simulation testing of the nuclear power plant simulation system are improved, the intelligent level of testing is improved, and therefore the workload of manual testing is reduced.

The invention discloses a hardening prediction and dynamic regulation and control method for a digital twin mill based on LSTM (Long Short Term Memory), and relates to the technical field of industrial intelligent manufacturing and equipment predictive maintenance. The method comprises the following steps: constructing a mill digital twinning model, and realizing virtual-real synchronous mapping; the method comprises the steps of collecting multi-sensor operation data, performing data cleaning and standardization processing, and combining a sliding window to extract time sequence features; constructing a double-layer LSTM network model fused with a self-attention mechanism, performing training by taking Focal Loss as a loss function, and outputting a hardening probability; verifying and optimizing the model through simulation of a digital twin system; and finally, accessing an actual mill system to realize visual monitoring and dynamic regulation and control based on probability early warning. According to the method, the problems of prediction lag and insufficient visualization of a traditional method are solved, high-precision hardening prediction and closed-loop active intervention are realized, and the operation reliability and production efficiency of the mill are remarkably improved.

The invention belongs to the field of hydroelectric generation control engineering and fluid mechanical dynamics, and particularly discloses a starting-up optimization control method of a large hydroelectric generating set based on full-view simulation and dynamic verification. Comprising the steps of multi-dimensional real machine test database construction and benchmark evaluation, one-dimensional system simulation and macroscopic boundary definition, three-dimensional high-fidelity transient flow field simulation and microscopic mechanism insight, startup law dynamic optimization based on simulation insight and'simulation-test 'technology closed loop and iterative refining. Compared with the prior art, one-dimensional system simulation and three-dimensional high-fidelity flow field simulation are organically combined for the first time, the problem of comprehensive analysis from the macroscopic hydraulic transition process to the microcosmic complex flow mechanism is solved, the'full-transparency 'insight of the starting process is achieved, multiple performance indexes such as vibration, throw, stress and temperature can be considered at the same time, and the method is suitable for large-scale popularization and application. And the overall stability of the unit is synergistically improved.

The invention relates to the technical field of direct-current power transmission system simulation, and discloses an online simulation method of an LCC direct-current power transmission electromechanical electromagnetic hybrid system. The method comprises the following steps: constructing a system diagram structure model, and respectively representing electrical components and electromagnetic coupling relations thereof by nodes and edges; mapping the real-time operation data into a space-time diagram data sequence; performing multi-resolution wavelet decomposition on the sequence, and extracting a low-frequency contour and a high-frequency detail electromagnetic characteristic mode; dynamically calculating a node weight according to a feature mode by using a graph attention network, and generating enhanced electromagnetic field distribution fusing local and global features; and finally, a simulation signal is output by solving an electromagnetic field equation. According to the method, through multi-scale feature separation and dynamic coupling relation modeling, finer and more adaptive simulation of the broadband electromagnetic transient process of the system is realized, and the simulation precision and the depicting capability of complex working conditions are improved.

The invention relates to a multi-body dynamics simulation modeling method for a laser radar control system of a paddy field laser land leveler, and the method comprises the steps: building a whole machine mechanical model based on a multi-body dynamics simulation environment, enabling a virtual marking point and a measurement function to be equivalent to a laser radar sensing module, and integrating an embedded controller based on a built-in calculation function of software, thereby achieving the simulation modeling of the laser radar control system of the paddy field laser land leveler. Full-link closed-loop simulation of'perception-decision-execution-response 'is realized in a unified platform; by simulating various road excitation and operation conditions, the tracking precision, response speed and stability of a control algorithm can be directly verified in a virtual environment, and parameter optimization is completed. The method solves the key problem that a control system lacks a real controlled object and excessively depends on a physical model machine in the early stage of development, achieves full-digital system-level verification and performance prediction, can remarkably shorten the research and development period and reduce the development cost, and belongs to the technical field of agricultural machinery control system simulation verification.

The application relates to the field of fault detection and discloses a pipe network fault diagnosis system, which comprises a data acquisition module, a data preprocessing module, a data analysis module and a model development module. The data acquisition module is used for acquiring pipeline operation data from a SCADA system, a simulation environment, an intermediate database, API transmission and manual inspection data input. The data preprocessing module is used for cleaning, normalizing and structurally storing the collected data, including data availability inspection, basic statistical quantity calculation and box plot drawing. The data analysis module is used for constructing a scoring model according to the pipeline operation data and determining a data distribution type according to the scoring model in combination with a dynamic threshold value judgment mechanism. The model development module is used for selecting an optimal model according to data distribution characteristics, supporting multiple model integration, generating and evaluating multiple model results and outputting visualized model results by adopting a hybrid modeling strategy. The real-time early warning module is used for monitoring the operation state of the pipe network in real time and issuing early warning information based on diagnosis results and performing visualized display.

The application provides a method and device for simulating a water delivery system of an impulse water turbine and electronic equipment, and the method comprises the following steps: establishing a mathematical model of the water delivery system of the impulse water turbine with variable step grids; dividing the water delivery pipe upstream of the distribution ring and the side pipe of the distribution ring into grids with the variable step grids; determining the boundary conditions of the inlet and outlet of the pipe based on the calculation working condition, and determining the initial flow and pressure values of each grid node according to the constant flow theory; combining the initial flow and pressure values of the grid nodes, iteratively calculating the corresponding flow and pressure values of each grid node at the current time, and determining the unit side parameters at the current time until the termination condition is met. Through the application, certain theoretical basis and technical support are provided for the safe and stable operation of the impulse unit, and the problem that the existing related technologies are difficult to balance the pipe calculation efficiency and the calculation accuracy is solved.

The invention relates to the technical field of simulation, and discloses a new energy hydrogen production coupling chemical system and method.The new energy hydrogen production coupling chemical system comprises a workstation, a full-topology model, a chemical equipment scheduling strategy module and a new energy power generation module; the work station is configured to construct an operation environment of the full-topology model; the full-topology model is configured to be a created hydrogen production system simulation model, and operation parameter setting is carried out on the hydrogen production system simulation model; the chemical equipment scheduling strategy module is configured to determine a scheduling strategy of the hydrogen production system simulation model; and the new energy power generation module is configured to obtain wind and light power generation simulation data and import the wind and light power generation simulation data into the hydrogen production system simulation model so as to enable the hydrogen production system simulation model to operate. Therefore, production simulation and economy prediction of the new energy hydrogen production coupling chemical system are realized.