678results about How to "Simulation is accurate" patented technology

The invention relates to the technical field of agricultural irrigation, in particular to an irrigation decision-making method based on an agricultural system model. The method comprises the following steps: calculating a growth environment index of a target farmland to generate a crop environment growth index; crop physiological status evaluation is carried out according to the crop environment growth index, short-term water demand prediction of the field is carried out, and field crop short-term water demand data is generated; performing irrigation scheme decision processing according to the short-term water demand data of the field crops to obtain optimal irrigation scheme data; irrigation equipment is regulated and controlled by using the optimal irrigation scheme data, and irrigation water quantity influence analysis is carried out to generate irrigation water quantity influence data; and performing adaptive irrigation control optimization according to the irrigation water quantity influence data so as to obtain intelligent irrigation control strategy data. Irrigation equipment can be regulated and controlled according to dynamic requirements of crops, intelligent and accurate irrigation decision control is achieved, excessive or insufficient irrigation is effectively avoided, and the water resource utilization rate is remarkably increased.

The invention relates to the field of robot attitude control, in particular to a robot attitude control method and system based on intelligent recognition. The method comprises the following steps: continuously acquiring a real-time sandbox scene video stream based on a high-definition camera; and carrying out time sequence frame segmentation on the real-time sandbox scene video stream, and carrying out global contrast enhancement processing to obtain a global contrast optimization image sequence. Carrying out dynamic object identification on the global contrast optimization image sequence, and carrying out continuous frame optical flow motion tracking to generate a dynamic object optical flow change track; optimizing the image sequence according to the global contrast to extract scene ground and scene obstacle data; performing dynamic trajectory rendering on the scene ground and scene obstacle data based on the dynamic object optical flow change trajectory so as to construct a dynamic scene twinborn model; robot position posture parameters and user operation instructions are recognized. According to the invention, timely attitude adjustment response and accurate movement position control are realized.

The embodiment of the invention provides a mining area vehicle path planning method and device based on a digital twin map, and belongs to the technical field of vehicle path planning, and the method comprises the steps: obtaining map data and physical scene data of a mining area; creating a dynamic twin map of the mining area based on the map data and the physical scene data; obstacle information is identified and marked based on the dynamic twin map, and obstacles comprise natural obstacles and artificial obstacles; and importing related data of the vehicle into the dynamic twin map, and carrying out obstacle avoidance path planning on the vehicle based on the marked obstacle information to obtain an optimal obstacle avoidance path. According to the scheme, the running efficiency of mining area vehicles can be improved, and collision and obstacle detouring time is shortened.

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 provides an error correction method of a detection device. The error correction method comprises the following steps: selecting and configuring a sensor according to a physical quantity needing to be monitored; acquiring original data from a sensor, and preprocessing the original data; training by using the historical sensor data and a neural network model to obtain a trained neural network model; and performing error correction on the real-time data of the detection device based on the trained neural network model to output a correction result of the real-time data. According to the invention, error correction is carried out by using the neural network model, so that nonlinear errors and dynamic changes in real-time data output by the sensor can be simulated and corrected more accurately, and error characteristics under various environmental conditions can be adaptively realized. Therefore, the accuracy and reliability of the detection data output by the detection device comprising the sensor are improved, and the detection device can conform to an actual application scene.

The invention provides a heart multi-mode digital twinning simulation method and system, electronic equipment and a medium, and belongs to the technical field of digital twinning. The method comprises the following steps: S1, collecting multi-modal data of a heart; s2, preprocessing the acquired multi-modal data to obtain heart digital data; s3, based on the heart digital data, constructing a multi-modal digital twinborn model of the heart and optimizing the multi-modal digital twinborn model; s4, performing real-time simulation on the electrophysiological activity of the heart by using the optimized multi-modal digital twin model and using a Runge-Kutta method in combination with a PSO (Particle Swarm Optimization) algorithm; s5, based on the optimized multi-mode digital twinborn model and the simulation result, simulation and planning of virtual cardiac surgical treatment are carried out; and S6, dynamically evaluating the multi-modal digital twin model, and monitoring the state change of the heart in real time. According to the heart multi-mode digital twinborn simulation method and system, the electronic equipment and the medium, efficient simulation and real-time monitoring of the heart state can be achieved.

A central air-conditioning system energy consumption simulation method based on a multi-region coupling model comprises the steps that basic data and initial parameters of a cold-chain logistics center site are obtained, and the basic data and the initial parameters are preprocessed; and constructing a multi-region coupling physical mechanism model based on a heat and mass transfer equation, and outputting a physical model state through a finite difference method by taking the basic data and the initial parameters as boundary conditions. And taking the physical model state as the input of a convolutional neural network, extracting short-period penetration load characteristics through time sequence convolution, and outputting a short-period penetration load prediction result. And combining the short-term penetration load prediction result with the cargo thermal parameters and the partition state as the input of a Transform model, and outputting multi-region energy consumption distribution prediction data. And performing strategy optimization processing on the multi-region energy consumption distribution prediction data through MPC, and calculating a preliminary control strategy. And searching a global optimal solution in the high-dimensional nonlinear parameter space through a myxomycete optimization algorithm, and outputting an optimal control strategy.

The invention discloses a regional heavy pollution discriminating and forecasting system and method based on big data, and relates to the technical field of environmental pollution monitoring. Comprising a multi-source data acquisition module, an adaptive weight distribution module, a feature extraction module, a heavy pollution discrimination module, a pollution diffusion path simulation module, an intelligent early warning and protection suggestion module, an event-driven dynamic monitoring module and a multi-scale meteorological prediction optimization module. And the pollution diffusion path simulation module performs prediction analysis on a pollution diffusion path and an influence range by using a diffusion path simulation algorithm. By designing the pollution diffusion path simulation module and the intelligent early warning and protection suggestion module, the pollutant diffusion path prediction and early warning functions are realized, and the problem that early warning lags due to the fact that the pollution diffusion path simulation and early warning module is separated and cannot realize timely linkage of prediction results and protection suggestions is solved; and a more timely and effective prevention and control strategy is provided, and the capability of coping with heavy pollution events is enhanced.

The invention provides a close-range radio frequency electromagnetic field immunity test method and system, and relates to the technical field of communication detection, and the method comprises the steps: collecting near-field electromagnetic field distribution data and near-field frequency spectrum power distribution data formed by a radio frequency interference source on the surface of a tested device; constructing a near-field electromagnetic field distribution model; according to the frequency spectrum overlapping degree between the near-field frequency spectrum power distribution data and the working frequency band of the tested equipment, calculating the interference intensity of a radio frequency interference source on the tested equipment, and calculating the power of a target interference source according to the interference intensity through a dynamic frequency spectrum adaptation algorithm; regulating and controlling a radio frequency interference source to generate a radio frequency interference source signal with target interference source power; and monitoring an electromagnetic coupling coefficient of the tested equipment for the radio frequency interference source signal based on the electromagnetic field intensity distribution model so as to generate an immunity test result. Therefore, an actual interference scene of modern wireless equipment in a near-field environment can be simulated more accurately, and comprehensive evaluation of the equipment immunity under high-frequency and near-field conditions is realized.

The invention relates to the technical field of geological ecological monitoring, in particular to a geological ecological monitoring system and method. The method comprises the following steps: acquiring a topographic map of a monitoring area; performing real-time data acquisition by using a sensor network according to the topographic map of the monitored area, and constructing a rock-soil physical characteristic matrix to obtain the rock-soil physical characteristic matrix; performing rock-soil mechanical response spectrum construction according to the rock-soil physical characteristic matrix to obtain a rock-soil mechanical response spectrum; according to the monitored area topographic map, point cloud data processing is utilized to construct a side slope geometric model, and a side slope three-dimensional geometric model is obtained; performing unit stress analysis according to the three-dimensional geometric model of the side slope to obtain unit stress data; and performing strength reduction calculation according to the unit stress data to obtain a reduction strength parameter. The geological ecological system is comprehensively, dynamically and systematically monitored and evaluated, so that geological disaster prevention and control and ecological environment protection are better served.

A CFD (computational fluid dynamics)-based wind turbine generator load simulation method under a high slope comprises the following steps: step 1, acquiring topographic data and position information of the high slope: acquiring the topographic data and position information of the high slope through a multi-source data acquisition means; step 2, constructing a high slope simplified physical model according to the high slope topographic data and the machine position information; 3, a CFD tool is used for flow field numerical simulation calculation, and according to the constructed high slope simplified physical model, the CFD tool is used for obtaining the wind speed distribution and turbulence intensity distribution conditions of the whole wind wheel face of the wind turbine generator; step 4, generating a target wind seed file by using a TurbSim tool; 5, establishing a high slope wind file library; step 6, calculating the dynamic response of the whole machine; and obtaining an accurate load result of the wind turbine generator under the high slope terrain. The accuracy of the simulation result is improved, and the safety, the power generation efficiency and the service life of the wind turbine generator are improved.

The invention discloses a biological material mechanical testing method and system based on finite element analysis, and is used for the technical field of data processing method.The biological material mechanical testing method comprises the following steps that a three-dimensional geometric model of a biological material is constructed, the three-dimensional geometric model of the biological material is imported into finite element analysis software, and the finite element analysis software is used for analyzing the three-dimensional geometric model of the biological material; grid division is executed, and material attributes and boundary conditions are set; finite element simulation is operated according to the set material attributes and boundary conditions, stress and strain distribution is analyzed, and grid division and the material attributes are adjusted based on the analysis result; and the adjusted grid division and material attributes are simulated again, a simulation result is verified through experimental data, and meanwhile material composition is adjusted based on the simulation result and a verification result. According to the method, each step can be completed according to preset time and quality standards, and deep understanding of the simulation process and prevention of potential problems are enhanced.

The invention discloses a force-heat coupling simulation and structure optimization method and system for an ultra-complex structure, and the method comprises the steps: generating parameters and data structures required by subsequent simulation and optimization for a given model and a design domain; comprising the following steps: constructing a background coarse grid, constructing a seed point and a radius, modeling a porous structure based on a voronoi structure, and pre-calculating a stress field of the porous structure; calculating a density field, performing thermodynamic simulation on the generated porous structure based on the background coarse grid and the shape function according to the density field, querying a stress matrix corresponding to each seed point according to the obtained stress field, and performing characteristic decomposition and extraction on the stress matrix to obtain a weight matrix corresponding to the seed point; a topological optimization method is used, control parameters are updated through a GCMMA method according to the sensitivity, and therefore the porous structure is updated, material distribution is optimized, and optimization is conducted continuously till the change of the control parameters is smaller than a threshold value. According to the method, the topological optimization problem of the anisotropic porous structure under the multi-physical-field condition can be quickly and effectively solved.

The invention relates to the technical field of network security, in particular to a network security analysis method and system based on digital twinning. The method comprises the following steps: carrying out network topology perception on a target network to obtain a network data transmission topological graph; carrying out real-time traffic first acquisition on the target network to obtain a first real-time traffic data set; performing digital twinborn model construction on the target network according to the first real-time traffic data set based on the network data transmission topological graph to obtain a network digital twinborn model; performing real-time traffic second acquisition on the target network to obtain a second real-time traffic data set; performing equipment system log collection on the target network to obtain an equipment system log set; and performing data synchronous mapping on the second real-time traffic data set, the equipment system log set and the network digital twinborn model to obtain a real-time network digital twinborn model. According to the invention, the network security risk is obviously reduced.

The invention relates to a variable-temperature dynamic-water coarse fracture grouting visual test system which comprises a visual simulation platform, and an artificial protolith is arranged in the visual simulation platform and used for simulating a coarse fracture; the grouting system is communicated with the visual simulation platform, and the grouting system is used for injecting grout into the visual simulation platform so that the grout can enter the rough fracture; the pressurizing system is communicated with the visual simulation platform and is used for injecting variable-temperature flowing water into the visual simulation platform, and pressure is provided for slurry entering the rough fracture through the variable-temperature flowing water; and the acquisition system is arranged in the visual simulation platform. On one hand, the device is used for researching the flow rule of the slurry under the static water or dynamic water condition, the diffusion rule of the slurry under different water environments is obtained through comparison, on the other hand, the diffusion rule of the slurry under the dynamic water condition and different roughness is researched, the field grouting condition is truly simulated, and the more accurate slurry diffusion rule is obtained.

The invention discloses a molten pool dynamics prediction method in an aluminum alloy laser welding process, which comprises the following steps of: S1, establishing a physical model in a swinging laser welding process, and establishing three control equations to obtain mass, momentum and energy source items to be solved; s2, establishing a multi-reflection model of a laser beam on a gas-liquid interface, and simulating quality and energy source items generated in processing reflection; s3, establishing an evaporation-condensation model, and simulating an energy source item caused by phase change; s4, capturing and reconstructing a gas-liquid interface by adopting THINC-LS, and coupling the source items into a control equation; and S5, a gas-liquid two-phase fluid grid model is constructed and divided, and a control equation is discretized and iteratively solved. According to the method, reasonable physical and mathematical models are constructed, numerical simulation is conducted on molten pool dynamics in the laser beam vibration-assisted laser welding process, heat transfer and flow behaviors of a welding molten pool are accurately reproduced, the mechanism and the influence rule of light beam swing parameters are disclosed, and therefore quantitative prediction of welding joint forming is achieved.

The invention discloses a small-scale greenhouse gas emission amount accounting method and system, and belongs to the technical field of greenhouse gas emission amount accounting. The method comprises the following steps: obtaining real-time meteorological data of a park range; performing forward diffusion simulation by using a Lagrange diffusion model; calculating the greenhouse gas simulation concentration of the receptor site position; acquiring the greenhouse gas monitoring concentration of a greenhouse gas receptor site in the park; a judgment formula is introduced, and the intensity of a greenhouse gas emission source is continuously adjusted in an iterative fitting mode, so that the simulation concentration output by the model is gradually close to the actual monitoring concentration; according to the method, diffusion and transmission processes of greenhouse gas in a small-scale range can be accurately simulated, and compared with a traditional method, the method can better capture fine changes of local meteorological conditions and emission sources, so that the accounting precision is improved.

The invention discloses a calculation method for a complex vertical wind field cloud catalysis operation influence area, and the method comprises the steps: obtaining flight information, selecting the data of a sounding station closest to the flight position of an airplane, and carrying out the matching of the data of a wind field at the same height of the sounding station according to the sowing height of the airplane; and calculating an influence area position parameter of the height of the sowing layer based on the airplane sowing operation time, the sowing concentration and the obtained sowing height horizontal movement data, calculating a distance movement parameter caused by shear, and adding the influence area position parameter and the distance movement parameter caused by shear to obtain a final sowing influence area position. According to the method, the influence of the wind field on the sowing layer can be simulated more accurately, the calculation accuracy is improved, and the influence of the complex wind field on the sowing operation is considered by defining the wind shear and calculating the distance movement caused by the shear; and the diffusion path and range of the spread substance can be predicted more accurately.

The invention provides a movable guide vane shaft sleeve area quality detection method, device and equipment, and belongs to the technical field of movable guide vane shaft sleeve detection. The method comprises the following steps: acquiring a target detection condition parameter; wherein the target detection condition parameters are obtained by optimizing detection condition parameters of a hydroelectric generating set movable guide vane simulation model determined by a simulation model constructed based on the hydroelectric generating set movable guide vane; and controlling the detection tool device to perform phased array detection on the shaft sleeve area of the movable guide vane of the hydroelectric generating set according to the target detection condition parameters, and identifying defects of the shaft sleeve area of the movable guide vane of the hydroelectric generating set. By optimizing the simulation model and the detection parameters, the precision, efficiency and reliability of shaft sleeve defect detection are remarkably improved.

The invention discloses a gas-solid two-phase flow numerical simulation method for bidirectional coupling of non-spherical particles and a flow field, and belongs to the technical field of biomass fuel utilization, and the method comprises the following steps: constructing a flow field model in Fluent, and correspondingly setting an initial boundary condition of the flow field; setting initialization conditions of non-spherical particles in the UDF; establishing an inertial coordinate system and a particle coordinate system, and coupling the two coordinate systems; and obtaining a translational motion table / rotational motion characterization equation, determining the position and direction of the particles by solving the two equations, correcting flow field parameters by using the positions and direction of the particles, and iteratively calculating particle motion parameters to realize bidirectional coupling of the non-spherical particles and the flow field. According to the numerical simulation method, through Fluent-UDF numerical simulation, the interaction between the non-spherical particles and the flow field can be accurately simulated, the accuracy of gas-solid two-phase flow numerical simulation is guaranteed, understanding of the complex process of direct combustion coupling of biomass particles of a coal-fired boiler is deepened, and theoretical support is provided for optimization of combustor design and the combustion process.

The invention discloses a performance detection device for an automobile brake pad in the technical field of automobile brake pad detection. Comprising a controller, a tire, a detection body and two brake pads, a detection groove is formed in the top of the detection body, a water inlet pipe and a water outlet pipe are arranged on the surfaces of the two sides of the detection body respectively, and a first electromagnetic valve and a second electromagnetic valve are arranged on the water inlet pipe and the water outlet pipe respectively and electrically connected with the controller; a rotating assembly and a brake assembly are installed in the detection groove, an air blowing assembly is installed on the inner wall of the detection groove, and a signal assembly is installed at the bottom of the detection groove. The rotating assembly, the brake assembly, the air blowing assembly and the signal assembly are electrically connected with the controller. The device is simple and easy to operate, through cooperative work of the detection body, the water inlet pipe, the water outlet pipe, the rotating assembly and the brake assembly, performance indexes of the brake pad can be detected under the conditions of simulating road surface ponding, muddy road sections and the like, and therefore detection data are more reliable and scientific.

The invention provides a beam string structure optimization method for reinforcing a large-span steel corridor, and belongs to the technical field of building construction.The method comprises the steps that firstly, a three-dimensional finite element model is established, the three-dimensional finite element model comprises an upper steel corridor, vertical supporting rods and inhaul cables, and boundary conditions and dead load and live load are set; performing nonlinear analysis to obtain an initial deflection value and a stress value, and judging whether reinforcement requirements are met or not. And if not, adjusting the length of the supporting rod and the prestress of the inhaul cable, and repeatedly analyzing and calculating until the requirements are met. Then, the structural deflection serves as a control parameter, the strain of the inhaul cable serves as a response parameter, cable force optimization calculation is conducted through an SAP2000CSiLoadOptimizer toolbox, and an optimized strain value of the inhaul cable is obtained. And finally, according to an optimization result, a final cable force optimization scheme is obtained through back-stepping, and specific process parameters of the beam string structure for reinforcing the large-span steel corridor are determined. The problem that an existing method cannot comprehensively reflect the nonlinear mechanical property of the structure is solved.

The invention belongs to the technical field of ocean engineering, and discloses a seabed vibration elbow solid-liquid two-phase flow erosion corrosion coupling analysis method and system. The method comprises the following steps: establishing a three-dimensional fine model of a local bent pipe section; constructing a flow accelerated corrosion model by using a mass transfer equation and a solubility equation to calculate a flow accelerated corrosion rate; an E / CRC particle erosive wear model is introduced to calculate the erosive wear rate of particles to the wall surface of the pipeline; an erosion-corrosion coupling model is constructed based on the electrochemical corrosion secondary current model to simulate the erosion corrosion process of solid-liquid two-phase flow in the vibration pipeline, and an erosion corrosion coupling response rule in the vibration elbow is obtained. Compared with an original analysis method which only considers erosion wear, the erosion corrosion rate calculation precision is improved by 36%, the simulation result and experiment comparison error is reduced to be within 20%, and technical support is provided for accurate analysis of pipeline damage under the erosion corrosion coupling effect.

The invention belongs to the field of hydraulic machinery state monitoring, and particularly discloses a digital twinning-based pumped storage unit shafting operation state monitoring method and system, and the method comprises the steps: building a multi-physics field coupling finite element full-order model of a pumped storage unit shafting, carrying out the model reduction of the finite element full-order model, and obtaining a digital twinning model; utilizing a multi-physics field coupling reduced-order model to construct a digital twinborn body of the pumping and storage unit shafting for real-time simulation; acquiring operation state data corresponding to the monitoring signal, and establishing an operation state knowledge base of the pumped storage unit; and according to the established virtual-real interaction subsystem, the three-dimensional visualization subsystem and the operation state knowledge base, constructing an operation state monitoring system of the pumping and storage unit shaft system, and performing real-time data transmission of the operation state monitoring system by using a sensor so as to evaluate the operation state of the pumping and storage unit in real time and realize operation state early warning of the pumping and storage unit. According to the invention, the real-time performance of monitoring the operation state of the shaft system of the pumping and storage unit can be improved, and the monitoring efficiency is further improved.

The invention discloses a concrete cave wall design method and system under the gradient temperature difference effect and a medium. Relates to the technical field of wind tunnel construction. According to the scheme, a first wind tunnel concrete tunnel wall model is constructed in finite element analysis software based on a first basic boundary condition, grid division is carried out on the first wind tunnel concrete tunnel wall model, gradient temperature difference loads are applied to grids, and first tunnel wall stress is solved; the design control stress is obtained by superposing the first cavern wall stress applying the gradient temperature difference load and the second cavern wall stress applying the conventional load, and the cavern wall temperature differences of different areas are superposed into the design control stress, so that the performance of the large-scale concrete cavern wall structure in the gradient temperature difference environment is ensured; and meanwhile, the nonuniformity of stress distribution of the tunnel wall is also considered during reinforcement design, so that the performance and the safety of the large-scale concrete tunnel wall structure in a gradient temperature difference environment are ensured.

The invention discloses a collaborative testing method and system for a multi-interval protection device of a transformer substation. The method comprises the following steps: collecting entity operation data of a plurality of protection devices of a substation entity, constructing a digital twin model of the substation, generating a collaborative test scene of the plurality of protection devices, determining an electrical communication path among the plurality of protection devices in the collaborative test scene, determining an associated protection constant value of the protection device in the collaborative test scene through the data layer model and the electrical connection path, determining a test excitation signal sequence corresponding to the associated protection constant value according to the business layer model, and testing the plurality of protection devices in the substation entity to obtain a collaborative test result corresponding to the collaborative test scene, the protection constant value parameters of the plurality of protection devices are adaptively optimized and adjusted and updated to the data layer model of the digital twinborn model, so that the response speed and the detection accuracy of the protection devices are improved, the safety and the reliability of the operation of the transformer substation are ensured, and continuous optimization is realized.

The invention relates to the technical field of man-machine interaction and tactile rendering, in particular to a virtual friction tactile rendering method and device based on micro-current stimulation, and the method comprises the steps: obtaining friction tactile interaction information of a real object and hand action information of an interactor, and mapping the friction tactile interaction information and the hand action information to a virtual object and a virtual hand; defining friction interaction states of the virtual hand and the surface of the virtual object, and designing a tactile feedback array which provides corresponding stimulation modes for different friction interaction states; when the virtual hand starts to make contact with the surface of the virtual object, the stimulation mode is converted into the contact mode; when the virtual hand starts to slide on the surface of the virtual object, the stimulation mode is converted into a sliding mode; when the virtual hand leaves the surface of the virtual object, the stimulation mode is converted into a separation mode; an interactor perceives real surface information of various objects from three feedback channels of audio-visual touch through friction interaction processes of contact, sliding, separation and the like in a virtual scene, and immersive interaction experience is realized. The reality sense and immersion sense of the virtual friction touch sense are improved.

The invention discloses a rope technical equipment testing system and method under multi-environment conditions, and relates to the technical field of rope testing, and the system comprises the steps: building target testing equipment, and activating an environment simulation cabin module to set a plurality of environment simulation conditions; connecting the to-be-tested rope equipment to target test equipment and activating a mechanical loading module; performing various mechanical tests on the to-be-tested rope equipment, and generating a test data sensing record log; evaluating the to-be-tested rope equipment according to the test data sensing record log to generate a rope performance evaluation index; and performing test analysis on the to-be-tested rope equipment, generating a test report, and generating optimization suggestions of the to-be-tested rope equipment. The technical problem that the rope is lack of safety and reliability due to inaccurate performance test of the rope in the prior art is solved, and the technical effects of accurately simulating a complex environment, comprehensively evaluating the performance of the rope and improving the use safety and reliability of the rope are achieved.

The invention discloses a method and system for monitoring the lake water level based on remote sensing images, and particularly relates to the technical field of remote sensing monitoring, and the method comprises the steps: constructing a complete three-dimensional terrain model of a lake through historical remote sensing images and data of underwater detection equipment, including water surface and underwater shapes; a quantitative relation model of the terrain and the water level is established by utilizing a digital twinborn technology and actually measured water level data, the model is repeatedly tested and optimized, the precision is ensured, and the model is finally applied to real-time water level monitoring, so that the water level information of a target lake is automatically acquired and updated; the problem that a terrain-water level relation model is difficult to accurately monitor lake water level changes in the prior art is solved. The system further comprises a water body boundary correction module and a boundary contour processing module, the boundary of the lake is recognized and extracted more accurately through a remote sensing image and a machine learning model, the boundary is optimized, and accuracy and completeness of water body information are guaranteed.

The invention discloses a self-adaptive Monte Carlo macro particle simulation method and system based on parallel computing, and relates to the technical field of particle simulation, and the method comprises the steps: initializing parameters, if the current step number is not the maximum step number, storing node data, balancing particle loading, and calculating charge density and battery density; using macro particles to represent a group of real particles, updating the positions and speeds of all the particles in parallel, and calculating new charge distribution; setting adaptive grid configuration, and dynamically adjusting grid density according to electric field intensity and local density of charge distribution; and based on the updated particle position and speed, evaluating and processing a collision event, storing collision data, re-calculating surface charge density data, adding 1 to the current step number, and circularly executing to finish simulation when the maximum step number is reached. According to the method, the accuracy of a simulation result is improved through the improved collision model, electrical discharge behaviors under different conditions are better predicted, and more reliable data support is provided for design and safety evaluation of high-voltage equipment.