253results about How to "Improve simulation accuracy" patented technology

The invention discloses a multi-scale wave-flow-sediment coupling beach evolution prediction model method, and relates to the technical field of tidal flat landform morphology evolution simulation, comprising the steps of integrating a tidal current power module, a wave motion module and a sediment power module, solving, and predicting landform morphology evolution of a tidal flat area; establishing a coordinate system according to actually measured tidal flat topographic data, obtaining tidal current, wave and sediment data based on a hydrometric station, taking the data as boundary conditions, and importing the boundary conditions into the model; constructing a beach evolution prediction model based on integration of tidal current power, wave motion and sediment power modules, and setting parameters required by each module; a finite difference method is adopted to solve a fluid continuity equation, a wave energy conservation equation, a one-dimensional vertical average suspended sediment convection and diffusion equation and a bottom bed updating equation, and tidal flat section terrains at different stages are obtained, so that the tidal flat section form evolution process under the action of waves and flow is accurately simulated, and compared with a traditional tidal current sediment model, the simulation precision is higher, and the simulation efficiency is higher. And the calculation efficiency can be obviously improved.

The invention relates to the technical field of mineral resource reserve simulation, in particular to a geological mineral resource reserve simulation method. The method comprises the following steps: carrying out multi-source heterogeneous data acquisition on a target geological area, and carrying out comprehensive feature extraction to obtain a comprehensive data set; constructing an initial static geologic model according to the comprehensive data set to obtain the initial static geologic model; building a multi-physics field coupling model according to the initial static geologic model to obtain a multi-physics field coupling model grid; performing metallogenic fluid migration and enrichment simulation according to the multi-physics field coupling model grid to obtain a metallogenic fluid migration simulation result; carrying out geologic body geometrical morphology updating on the initial static geologic model according to a metallogenic fluid migration simulation result to obtain a dynamic geologic model; and performing reserve prediction model training according to the dynamic geologic model to obtain a reserve prediction model. According to the method, the mineral resource reserves are evaluated more accurately and dynamically through a mineral resource reserve simulation technology.

The invention discloses a large-scale urban network multi-agent traffic simulation prediction method, and relates to the technical field of traffic simulation prediction. The method comprises the following steps: constructing a multi-agent city network model; processing and analyzing traffic demand data; urban network traffic flow distribution; constructing a vehicle driving model; urban network traffic monitoring and feedback; and iterating the simulation scheme. The travel demand data is processed by receiving the travel demand, the traffic path is allocated to the vehicle agent by using the classic user balance model, the vehicle agent simulates the driving behavior according to the car-following model and the lane changing model, and data support is provided for the vehicle agent to select the path according to the traffic flow macroscopic parameters fed back by the road section agent. And the simulation precision and the prediction reliability of the traffic flow are improved by utilizing the simulation of the multi-agent.

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.

The invention discloses a gas pipeline and subway safety distance optimization method based on numerical simulation, and relates to the technical field of subway tunnel safety, and the method comprises the steps: simulating gas pipeline explosion data through a KFX Exsim gas explosion model; establishing a fluid-solid coupling model, a soil dynamic model and a thermodynamic coupling model, and coupling the three models to obtain a multi-physics coupling model; based on a multi-physics field coupling model, performing decomposition and region division on a numerical simulation task in combination with a parallel computing framework, and simulating the influence of gas pipe explosion on the subway; based on a numerical simulation result, evaluating the safety of the tunnel under the action of the explosion load; based on a safety evaluation result, optimizing a safety distance between the gas pipeline and the tunnel; according to the method, the fluid-solid coupling model, the soil dynamic model and the thermodynamic coupling model are established and coupled to form a multi-physical field coupling model comprehensively covering the explosion environment, and accurate simulation of complex behaviors of the subway tunnel in the explosion environment is achieved.

The invention relates to the technical field of numerical control machine tools, in particular to a numerical control machine tool digital twin model updating method and system. The method comprises the following steps: acquiring actual processing technology data; performing cutting process simulation according to the actual machining process data and the digital twin model of the numerical control machine tool to obtain cutting process data; performing tool wear state feature analysis on the cutting process data to obtain tool wear state data; updating a tool model according to the tool wear state data to obtain an updated tool model; according to the updated cutter model, dynamic contact state solving is carried out, and a dynamic contact solving result is obtained; and performing contact key data analysis on a dynamic contact solving result to obtain cutter-workpiece dynamic contact information. According to the method, the modeling precision and the simulation reliability are greatly improved, so that the digital twin model can reflect complex processing conditions more truly, and a reliable decision basis is provided for process optimization.

The invention relates to the technical field of ecological vegetation information configuration, and discloses a landslide surge attenuation method and system based on biological vegetation configuration, and the method comprises the steps: constructing a landslide surge physical model, and determining a vegetation configuration range according to basic features; calculating a flood position and a normal water level according to the vegetation configuration range to determine an elevation area of vegetation configuration; determining the vegetation type of each elevation area of vegetation configuration; preprocessing data obtained by the landslide surge physical model to form a data set; calculating an average value and a standard deviation of the data set to obtain a standard data set; constructing a vegetation configuration model, inputting the standard data set into the vegetation configuration model, and simulating the landslide surge to obtain an influence mechanism of vegetation on the surge; and analyzing the influence mechanism of the vegetation on the surge to obtain a plurality of vegetation configuration schemes. The system comprises an acquisition module, a processing module and a vegetation configuration module. High-water-level protection is provided, rain wash can be effectively prevented, and the shallow slope is stable.

The invention provides a large eddy simulation method and system based on a mechanism-only model. The method comprises the following steps: acquiring a current dictionary database of a target turbulent flow field; the current dictionary database comprises multi-dimensional flow field features in a current time step; performing feature screening on the current dictionary database to obtain key flow field features of the target turbulent flow field; inputting the key flow field features into a mechanism-only model, and reconstructing to obtain the sublattice turbulence viscosity of the target turbulence field in the current time step; wherein the mechanism-only model is obtained by training an initial neural network model based on direct numerical simulation data of a sample turbulence field and a sublattice turbulence viscosity label of the sample turbulence field. According to the method, the simulation precision of small-scale turbulence vortex motion in large vortex simulation is improved, so that the problems of poor performance of a bottom layer model and low simulation calculation precision caused by calculation grid scale limitation and sub-grid stress simplification hypothesis are effectively solved.

The invention relates to the field of welding technology and finite element analysis, and particularly discloses a welding simulation method and system based on sub-field modeling. According to the system, the welding area is divided into a plurality of sub-fields, so that the simulation precision and efficiency are improved. The system comprises four main parts: gridding, heat source setting, thermal analysis and structural analysis. And the gridding module realizes fine grid division of the complex geometry by utilizing a sub-field technology and combining isotherm information. The heat source setting module accurately defines heat input conditions in the sub-fields according to welding process requirements. The thermal analysis module simulates the change of a temperature field in the welding process and provides detailed sub-field temperature distribution data. And the structural analysis module analyzes stress and deformation caused by welding based on the thermal analysis result, and particularly focuses on stress transfer and deformation behaviors among the sub-fields. According to the whole system, the welding simulation precision is greatly improved, manual intervention is reduced, and powerful technical support is provided for optimization of a complex welding process.

The invention relates to an inter-satellite link communication simulation system and method based on a satellite constellation. The system comprises a satellite orbit simulation module, a satellite attitude simulation module, an inter-satellite communication link simulation module, a visualization and interaction technology module and a data interaction and system test module. The satellite orbit simulation module is used for calculating a movement track of a satellite in an earth gravitational field; the satellite attitude simulation module is used for accurately simulating a satellite attitude; the inter-satellite communication link simulation module is used for evaluating inter-satellite communication quality; the visualization and interaction technology module is used for presenting real-time states of satellite orbits, attitudes and inter-satellite links; and the data interaction and system test module is used for smoothly exchanging data, and comprehensively testing and checking the correctness and performance of satellite orbits, attitudes and communication functions. The method has the beneficial effects that the real-time states of the satellite orbit, the attitude and the inter-satellite link are efficiently presented, so that a user can easily monitor and control the simulation process.

The invention provides a karst foundation model test block preparation device and a test method, belongs to the technical field of physical property test analysis, and is used for solving the problem that a karst model with a cavity structure is difficult to cast inside by a traditional model test block preparation technology in the prior art. Specifically, the device comprises a model frame with an opening in the top and a reinforcing structure arranged on the periphery of the model frame; the device further comprises a cavity reserving device, the cavity reserving device is located in the model frame and does not make contact with the wall face of the model frame, rock mass similar materials are poured into the model frame to form a karst foundation model test block, and after pouring is completed, the reserving device forms a cavity with an arc-shaped top face in the karst foundation model test block. A cavity space for simulating a karst hole is constructed in the model test block, the problem that a hole structure is difficult to form in the model test block through a traditional preparation technology is effectively solved, and powerful support is provided for deeply researching a karst foundation instability mode and a karst foundation instability process.

The invention discloses an estuary region ship lock hydrodynamic simulation method and system, and relates to the field of numerical simulation, and the method comprises the steps: obtaining estuary region ship lock data; hydrological data are collected; according to estuary area ship lock data and hydrological data, a hydrodynamic model based on an Euler-Lagrange circulation model is constructed, and the hydrodynamic model comprises a bottom friction resistance coefficient # imgabs0 # describing the influence of riverbed roughness on water flow movement; utilizing the hydrodynamic model to obtain the simulated flow velocity of the estuary region ship lock through numerical solution; using an ensemble Kalman filtering algorithm, comparing the simulated flow velocity with the actually measured flow velocity, and performing optimization training on the bottom friction resistance coefficient # imgabs1 # to obtain an optimal bottom friction resistance coefficient # imgabs2 #; the optimal bottom friction resistance coefficient # imgabs3 # is used as input, the hydrodynamic model is used for simulating the hydrodynamic process of the estuary region ship lock, and the water flow field change process of the estuary region ship lock is obtained. Aiming at the problem that in the prior art, the bottom friction resistance coefficient cannot dynamically adapt to the complex estuary environment, accurate simulation of the complex hydrodynamic environment of the ship lock in the estuary area is achieved.

The invention discloses a flow field numerical simulation method for autonomous swimming of underwater bionic fish, and particularly relates to the field of bionic fish swimming flow field numerical simulation, which comprises the step of describing the shape of a fish body by establishing a contour line equation of a horizontal section. The global ground coordinate system and the fish body coordinate system are associated through the gravity center position and the pitch angle of the fish body, and a time sequence fish body motion data set is established. And generating a time sequence flow field data set by combining unsteady flow field data acquired by the distributed underwater sensor array. And based on the flow field control equation and the dynamic motion characteristics of the fish body, constructing a static interactive coupling model, extracting key dynamic characteristic quantities, and establishing a flow field prediction model. And inputting interactive coupling data to the static model to calculate a global coupling solution for error analysis, and generating a dynamic interactive coupling model. And according to the flow field prediction result and the dynamic interactive coupling model, correcting the motion characteristic data of the fish body, optimizing the motion trail of the bionic fish, and realizing closed-loop optimization of the flow field and the fish body motion.

The invention provides soybean saline-alkaline tolerance simulation experiment equipment and method.The soybean saline-alkaline tolerance simulation experiment equipment comprises a sowing test bed, a closed box is connected to the top face of the sowing test bed, a sowing soil layer is arranged on the inner side of the closed box, a driving gear ring is arranged on the outer side of the sowing soil layer, and the driving gear ring is rotationally connected to the inner side of the top face of the sowing test bed in a limited mode; a saline-alkali water spraying tank is arranged on one side of the driving gear ring, the driving gear ring is in transmission connection with the saline-alkali water spraying tank, a sunlight simulation lamp set is arranged over the sowing soil layer and is in transmission connection with the driving gear ring, and a soil water conveying tank is arranged on the side, adjacent to the side connected with the saline-alkali water spraying tank, of the driving gear ring; according to the device, the saline-alkali water spraying tank automatically and intermittently sprays atomized saline-alkali water to the upper part of the sowing soil layer, meanwhile, the sowing soil layer can automatically feed saline-alkali water into the interior and the upper part of the sowing soil layer in the day or at night, and the precision of a soybean saline-alkali tolerant sowing experiment result is improved.

The invention discloses a time sequence production model deduction method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining a first time sequence production model of a power system; four different thinking chains are constructed; wherein the thinking chain is solved by using time decomposition, space decomposition or parallel calculation; the first time sequence production model is solved according to the four thinking chains, and a fourth solving result is obtained; the result with the minimum Euclidean distance sum with all the solving results is calculated and serves as a target result; and planning and scheduling the power system according to the numerical value of the decision variable in the target result. According to the method, the simulation precision is remarkably improved through time decomposition and space decomposition. Through parallel calculation, the solving speed is improved, important details are reserved, and errors caused by simplification are reduced. In addition, the thinking chain integration effectively integrates the results of a plurality of reasoning paths, and the representativeness and accuracy of the simulation result are improved.

The invention belongs to the technical field of watershed hydrological process simulation research, particularly relates to a distributed storage and hypersonic dynamic combination model construction method based on water and soil conservation measures, and solves the technical problems that an existing loess plateau region hydrological model is low in simulation precision and poor in applicability. Firstly, a research area is subdivided into a plurality of uniform grids through uniform grid division, and each grid represents different underlying surface features; the method comprises the following steps: carrying out an observation test on a typical field slope of a loess plateau to obtain observation data under different water and soil conservation measures, and determining a model parameter range in each grid under the water and soil conservation measures. According to the method, the rainfall-runoff process in each grid is linked with each other by combining a one-dimensional motion wave equation to form a complete distributed storage hyperdynamic combined model, the model structure can dynamically reflect runoff production mechanisms of different grid units, and the prediction capability of the model is improved.

The invention relates to a wind power boosting rotor outfield vibration sound radiation simulation method, which comprises the following steps: based on fluid simulation software Star-ccm +, taking a wind power boosting rotor outer cylinder contour as a rigid wall surface, setting an inlet condition as a wind speed and an outlet condition speed as 0, and calculating outer cylinder contour pulsating pressure; based on structural finite element software Abaqus, a finite element model is established according to the outer cylinder structure of the wind power boosting rotor, pulsating pressure serves as load input, constraint conditions are added, and the vibration displacement of the outer cylinder is calculated; based on acoustic finite element software Actran, node position information of the structural finite element model is imported, an external field acoustic domain is established, and external cylinder external field vibration sound radiation is calculated by taking external cylinder vibration displacement as load input; according to the method, calculation is carried out based on a frequency domain, the real sound wave transmission condition and the actual sound pressure cannot be reflected, and certain limitation exists. Therefore, by adopting the vibration sound radiation time domain simulation analysis method, the vibration sound radiation condition in the time domain can be obtained, and the change of the actual sound pressure along with the time can be obtained.

The invention belongs to the field of nonlinear material mechanics, and particularly relates to a construction method and a simulation method of a hyperelastic constitutive model under global strain, and the method comprises the steps: screening a hyperelastic constitutive model which has description potential for mechanical response characteristics under global strain as a basic model; extracting a strain energy function item in the basic model; and combining the strain energy function items to obtain the hyperelastic constitutive model under the global strain. According to the superelastic constitutive model under the global strain obtained by the construction method of the superelastic constitutive model under the global strain, a user-defined subprogram is written, the user-defined subprogram is called in finite element software, and material parameters are input for simulation. Compared with an existing hyperelastic constitutive model, the method has the advantages that the mechanical response characteristic description capability of an elastomer material under global strain is improved, and a theoretical basis and a technical route are provided for subsequent researchers to construct a new hyperelastic constitutive model based on an elastomer microscopic network structure.

The invention relates to a simulation modeling method for a generator body and accessories thereof for transient calculation, which comprises the following steps of: constructing generator body models with different complexities, and simplifying the generator models; according to the construction result of the generator body model, constructing a generator accessory model matched with the generator body model, considering dynamic characteristics in a prime mover model, and simulating transient dynamic processes of the generator and accessories thereof; parameters of the generator body model and the accessory model are initialized, a swing angle is calculated according to generator terminal voltage and current, and the calculated swing angle serves as an input parameter and is stored in a parameter data structure of the generator model; and performing simultaneous solution on the generator body and the accessory model, performing transient simulation calculation, and dynamically adjusting the simulation precision by adjusting the orders of the generator body models and selecting the generator body models with different complexities. And real and reliable modeling and data preparation are provided for accurate and complete simulation of a complex power grid catastrophe and recovery process.

The invention discloses an in-loop test system and a test method for a power shift axle box assembly. The in-loop test system comprises the power shift axle box assembly, a driving module, a first rear axle loading module, a second rear axle loading module, a front axle loading module, a motor frequency converter group, a measurement module, a control cabinet and an upper computer, the measuring module is connected with the power gear shifting axle box assembly, the driving module, the first rear axle loading module, the second rear axle loading module, the front axle loading module, the control cabinet and the upper computer. A transmission controller is arranged on the power gear shifting bridge box assembly; the transmission controller is connected with an upper computer through a whole vehicle CAN bus. The motor frequency converter group is respectively connected with the first rear axle loading module, the second rear axle loading module, the front axle loading module and the driving module; the control cabinet is further connected with the motor frequency converter set and the upper computer. The performance and control logic verification of the transmission body and the controller under the whole vehicle working condition is realized, and the software and hardware performance test requirements of the power shifting axle box assembly under different working conditions are met.

The invention discloses a method and a device for calculating the concentration of gaseous tritium discharged by a nuclear facility and an evaluation method and a device. The method comprises the following steps: acquiring meteorological data, environmental parameters and discharge parameters of the nuclear facility; determining an atmospheric dispersion factor of gaseous tritium discharged by the nuclear facility based on the meteorological data, the environmental parameters and the discharge parameters; determining a re-evaporation factor of the discharged gaseous tritium based on the atmospheric dispersion factor, the deposition property of the gaseous tritium, meteorological data and environmental parameters; determining a reevaporation dispersion factor of gaseous tritium based on the meteorological data, the environmental parameters and the reevaporation factor; and adding the atmospheric dispersion factor and the reevaporation dispersion factor to obtain the concentration of the gaseous tritium discharged by the nuclear facility. The method can accurately evaluate the concentration of gaseous tritium in the surrounding environment after the nuclear facility discharges gaseous tritium.

The invention discloses a tunnel fire detection and simulation method and system driven by video data, belongs to the technical field of computer vision and machine learning, and solves the problem that the current tunnel fire target detection algorithm is easy to cause insufficient distinguishing capability of vehicles and flames in a complex multi-target scene environment. The method comprises the following steps: preprocessing an obtained original data set to obtain a target data set to train an improved YOLOv8 neural network model, and carrying out target detection on a to-be-detected tunnel fire scene disaster image to obtain a central coordinate of each preliminary disaster object target for correction; after correction, a monocular vision positioning method is adopted to carry out position calibration and distinguishing on the corrected disaster situation object target, and then real-time scene twinborn modeling is carried out, so that a tunnel fire scene twinborn model is obtained and dynamically updated; and performing flame spread analysis on the tunnel fire scene based on the tunnel fire scene twinborn model, and realizing dynamic updating in un ity. The method is used for tunnel fire detection and simulation driven by video data.

The invention provides a radio frequency array multi-target spatial position accurate simulation method and system, and the method comprises the steps: a signal processing device generates a plurality of target signals, and after a radio frequency signal is generated through up-conversion, space-fed radiation is completed; the radio frequency array antenna receives a multi-target signal, transmits the multi-target signal to the electronic switch, and transmits the multiple target signals to different target feed channels respectively; multi-target signals are radiated in the same array antenna, four receiving antennas of signal processing equipment collect echo signals at the same time, the steps are repeated after a rotary table rotates by 180 degrees, and the inherent phase error of a receiving link of the system is calculated; according to the actual position of a target, a multi-target echo signal is formed through ternary combination, four receiving antennas of signal processing equipment collect the echo signal at the same time, and a signal phase is extracted; and calculating azimuth angle and pitch angle simulation errors of each target by using a phase comparison method in combination with the inherent phase difference of the system and the target position, and compensating the errors when three elements are combined into the target to realize accurate simulation of the multi-target spatial position.

The utility model discloses a dynamic safety performance testing device for an automobile safety belt. The dynamic safety performance testing device for the automobile safety belt comprises a trolley body; the seat assembly comprises a seat body and a mounting assembly; and the collision waveform simulation assembly is arranged on the trolley body and is used for providing collision impact environments for different vehicle types and sending out collision signals, and the mounting assembly performs active pre-tightening action based on the collision signals. According to the dynamic safety performance testing device for the automobile safety belt, key performance indexes of the developed active pre-tightening safety belt can be tested repeatedly in the development stage, the simulation precision and the real automobile test consistency of the evaluation testing device and method are high, the operation is convenient, the practicability is high, the cost is low, and the testing device and method are suitable for popularization and application. Powerful support can be provided for the development of the active pre-tightening safety belt.

The invention discloses a method for identifying modal parameters of a stator assembly of a vehicle driving motor. The method comprises the following steps: 1) performing a modal test on the stator assembly; 2) performing modal shape identification of the stator assembly based on a modal test result; 3) establishing a finite element simulation model of the stator assembly; 4) establishing a test model of the response surface of the stator assembly; 5) simulation of a stator assembly finite element model; and 6) calculating a response surface function of the stator assembly and identifying modal parameters. According to the method, rapid identification of the modal parameters of the stator assembly is realized through a series of methods of modal test of the stator assembly, modal shape identification of the stator assembly, finite element simulation model establishment of the stator assembly, test model establishment of the response surface, simulation of the finite element model, response surface function calculation and modal parameter identification, so that the product development period is shortened; and the one-time off-line qualification rate of products is improved, and cost reduction and efficiency improvement are effectively achieved.

The invention relates to a rail transit train inertia simulation method and system. A structural mode that a motor drives rail wheels and the rail wheels drive wheels of a test vehicle is adopted. When the wheels of the test vehicle rotate, based on the fact that the vehicle mass is equivalent to the rotational inertia of the wheels as a control target value, the angular deceleration of the wheels is calculated through the actually measured torque of each group of wheels of the test vehicle, the speed ratio of the wheels of the test vehicle to the rail wheels of the test equipment, the output torque of a motor and the total friction torque, and an inertia simulation test is executed; in the experiment process, the output of a motor is controlled through an electric inertia control technology, so that the wheel angle deceleration is kept consistent with a control target value; therefore, inertia simulation is carried out by calculating the wheel angle deceleration of the wheel.

The invention provides a wave simulation method and device, terminal equipment and a medium, and the method comprises the steps: constructing a dynamic model of deep sea operation equipment, and constructing a turbulence model used for describing the motion characteristics of seawater fluid in the water outlet process of the deep sea operation equipment; performing grid division on a fluid domain where the deep sea operation equipment is located to obtain a plurality of fluid grids, and determining a multi-phase hybrid grid from the plurality of fluid grids based on a VOF model; numerical waves are manufactured based on the five-order Stokes theory, and for each fluid grid in an absorption area in a fluid domain, a damping source item is introduced into a momentum equation corresponding to the fluid grid to eliminate reflected waves generated by the boundary of the numerical water tank; based on the overshoot grid model, the acting force of the multi-phase mixed grid on the deep-sea operation equipment in the water outlet process is calculated, and the traction force needed by water outlet of the deep-sea operation equipment is determined according to the acting force. The water outlet simulation effect of the deep sea operation equipment can be improved.

The invention discloses an anchor chain simulation method and system based on a spring-quality system, and the method comprises the steps: S1, building an anchor chain model, determining the initial position of a first node in the anchor chain model, the length of an anchor chain and the number of nodes, and determining the initial positions of other nodes; s2, applying external force to the anchor chain model, and performing stress analysis on each node in the anchor chain model based on the Newton second law; s3, updating the speed and the position of each node; s4, acquiring an initial distance between adjacent nodes set by a user, comparing the initial distance between the adjacent nodes with a set threshold value, and setting the distance between the adjacent nodes according to a comparison result; and S5, obtaining a simulation result of the anchor chain model. Accurate simulation of the stress and motion state of the anchor chain in a dynamic environment is realized, the simulation accuracy is further improved by setting the distance between adjacent nodes, the dynamic behavior of the anchor chain in the anchoring stage is accurately simulated, and the safety in the ship mooring and operation process is improved.

The invention discloses a flow battery external characteristic prediction method and equipment. The method comprises the following steps: constructing an equivalent circuit model and a thermal model of an all-vanadium flow battery; calculating equivalent circuit parameters of the equivalent circuit model according to the initial electrolyte temperature and the initial vanadium ion concentration of each valence state; calculating battery output voltage and electric power at the current moment according to the equivalent circuit parameters and the charging and discharging current; inputting the environment temperature and the electric power at the current moment and the pump power of the circulating pump into a thermal model, and solving the temperature of the galvanic pile electrolyte at the next moment; inputting the stack electrolyte temperature at the next moment into the dynamic differential equation of the vanadium ion concentration to obtain the vanadium ion concentration at the next moment; the electrolyte temperature and the vanadium ion concentration at the next moment are fed back to the equivalent circuit model, loop iteration is conducted till the battery charging and discharging process reaches a steady state, and the output voltage and the stack electrolyte temperature of the flow battery at each moment in the charging and discharging process are obtained. The computing resources are reduced, and the prediction accuracy is improved.

The invention discloses a frozen soil annual average ground temperature simulation method based on air temperature. The method comprises the following steps: firstly, determining a research area and a year interval; then data acquisition and arrangement are carried out; the data comprises near-surface air temperature data, land coverage data and accumulated snow depth data, according to the determined research area and year interval, acquiring near-surface air temperature data with the spatial resolution of 1km and the time resolution of daily scale corresponding to the research area and year, land coverage data and accumulated snow depth data with the spatial resolution of 1 km in the corresponding research area and year are obtained, then key parameters of the model are calculated, and finally the annual average ground temperature of frozen soil is calculated. Simulation calculation is carried out on the annual average ground temperature of frozen soil in a research area.