572 results about "Computer simulation" patented technology

A system and method for electric vehicle operational optimization is disclosed. The system comprises a memory storing processor-executable instructions and a processor, communicably coupled with the memory. The system obtains input data and predict health and performance parameters. The system generates computer simulated instances which emulate a behavior and a performance of the electric vehicle. The system, further, validates the health and the performance parameters by simulating the computer simulated instances in a virtual environment. The system determines a behavior status, a performance status and a health status of the electric vehicle. Thereafter, the system determines abnormality associated with the electric vehicle, followed by determining action for rectifying the abnormality. Consequently, the system controls an operation by performing the determined action at the electric vehicle.

The invention relates to the technical field of computer simulation, in particular to an intelligent construction method and system based on digital twinning. Comprising the steps of obtaining multi-source time sequence sensing data, loading the multi-source time sequence sensing data to a BIM model to generate an initial digital twinborn model, embedding a causal association network of construction risk factors and progress nodes into the initial digital twinborn model, and calculating directed weighted association strength of node variables to target variables; based on the causal association network, utilizing an LSTM algorithm to calculate dynamic influence weights of construction risk factors on progress nodes in real time, and generating a risk progress coupling situation prediction curve; when the prediction curve deviates from a threshold value, optimizing a construction path through process topology reconstruction, and pushing an operation instruction with space-time constraint to a terminal; the problems that in an existing intelligent construction technology, a digital twinborn model is insufficient in correlation description of construction risks and progress, and the accurate prediction capability of the risk progress coupling situation is lacked are solved.

The invention relates to the technical field of computer simulation, and discloses a computer simulation-based overlying strata multilevel grouting design optimization method, which comprises the following steps of: constructing a three-dimensional geomechanical model of a goaf according to geological exploration data; calculating development characteristics of each layer in the overlying strata of the goaf, and constructing a grouting bearing layer position of the goaf according to the development characteristics; fracture development characteristics and horizon stress distribution are analyzed; according to fracture development characteristics and horizon stress distribution, analyzing grouting simulation parameters of the horizon of the grouting bearing layer; generating a multi-level layered grouting simulation scheme of the position of the grouting bearing layer; generating a digital track of the position of a grouting bearing layer according to the multi-level layered grouting simulation scheme, and generating a grouting control simulation instruction according to the digital track; and according to the grouting control simulation instruction, multi-level grouting simulation operation is carried out on the position of the grouting bearing layer, and a multi-level grouting simulation result is output. According to the method, the accuracy of the grouting level of overlying strata multi-level design optimization can be improved.

A computer-implemented method includes executing, via a flood simulation model, a computer simulation that simulates flooding within a target spatial area based on an input of a geospatial dataset and the rainfall intensity data of one or more flooding events associated with the target spatial area; determining normalized inundation scores for a set of geographical cells and one or more clusters of interconnected geographical cells based on executing the computer simulation; determining, via an optimization algorithm, a set of optimal sensor locations in the target spatial area based on the normalized inundation scores and the one or more clusters of interconnected geographical cells; and generating a sensor location map that includes the set of geographical cells and a set of geospatial markers identifying the set of sensor locations; and generating a visual output that displays the sensor location map.

The invention relates to the technical field of quantum computing, and provides a polariton quantum computing simulation method and related device.The method comprises the steps that parameterized quantum circuits are generated based on micromodels used for describing polaritons for all to-be-computed excitation states respectively, and the parameterized quantum circuits are generated based on initial Hamiltonian of polaritons in a ground state; the target Hamiltonian amount of the polariton in the current excitation state is obtained, then the value of each parameter is adjusted at least once, and the target energy of the corresponding excitation state is obtained. In the primary adjustment process, parameter updating is carried out on the quantum circuit, a reference quantum state of the corresponding excitation state is obtained by utilizing the updated quantum circuit, reference energy of the corresponding excitation state is obtained based on the reference quantum state and in combination with the target Hamiltonian, and then when a set convergence condition is met, the target Hamiltonian is obtained. And taking the reference energy as target energy of the corresponding excited state. The polaritons are simulated through the quantum computer, and the simulation efficiency is improved.

An apparatus and method (200) for defining a semantic framework for a plurality of entities in a computer simulated environment. The method (200) includes receiving data from one or more data acquisition devices (104), translating, the data into one or more executable queries to extract data relating to the one or more elements from the knowledge database (106). The method (200) further includes assembling an entity model with one or more elements identified from the CNL data, each element operationalized using a model ontology and instantiating each element in the entity model using a plurality of instances for each element in the entity model to generate a semantic binding among the plurality of elements. Furthermore, the method (200) includes transforming the semantic binding into a knowledge graph using standard graph databases and translating the semantic description from the knowledge graph into an executable configuration for the metaverse.

The invention belongs to the technical field of bioinformatics, particularly relates to a computer simulation and regulation method and system for beef cattle fat metabolism, and aims to solve the problems of excessive fat deposition, low feed conversion efficiency, difficulty in multi-objective optimization and the like in existing beef cattle breeding. A multi-scale biological network model is constructed, a computer simulation and prediction engine is developed, an intelligent intervention strategy optimization engine is designed, and implementation and feedback optimization are carried out. By reducing unnecessary fat deposition, improving the feed conversion efficiency and improving the beef quality, the economic benefit of beef cattle breeding is remarkably improved, the requirements of consumers for high-quality and safe beef products are met, and the method has important value for promoting intelligent upgrading and sustainable development of the beef cattle industry.

The invention relates to the technical field of pelvic floor muscle training, in particular to a pelvic floor muscle recovery training system. The system comprises a physiological data acquisition module, a feature extraction and analysis module, a model training and optimization module, a personalized training plan module, a dynamic training adjustment module, a three-dimensional mapping and modeling module, a biomechanical simulation module and an intelligent state recognition module. According to the invention, through fusion of a convolutional neural network and a time sequence analysis method, key physiological features are extracted and analyzed, a personalized training plan module is combined with an intelligent algorithm, a training scheme is customized for a user, specific requirements are matched, and a dynamic training adjustment module monitors and adjusts training parameters in real time. The three-dimensional mapping and modeling module provides a muscle model by using an imaging technology and a three-dimensional reconstruction algorithm, the biomechanical simulation module simulates the mechanical response of muscles through a finite element analysis and computer simulation technology, and the intelligent state recognition module analyzes the muscle state by using a support vector machine technology.

The invention relates to the technical field of computer-aided engineering, in particular to a pure cotton dark-color fabric dye-resistant area dynamic prediction method based on a dye diffusion model. The method comprises the following steps: acquiring a parameter data set representing a fabric microstructure, dye properties and a printing process; on the basis, a multi-scale coupling mathematical model is constructed, the dye diffusion range is predicted, the diffusion process is decomposed into seepage diffusion between macroscopic yarns and diffusion in microcosmic fibers through the model, and the diffusion rate difference of the dye in the fabric direction is represented through anisotropic diffusion tensors; through finite element analysis of structure perception, running a model to calculate dye space-time concentration distribution, and generating geometric data for predicting a bleeding boundary according to a preset concentration threshold value; according to the data, printing process parameters and model parameters are adjusted in a self-adaptive mode, and dynamic prediction of the dye-resistant area is achieved; according to the method, computer simulation and finite element analysis technologies are utilized, and the accuracy of dynamic prediction of the dyeing-resistant area of the pure cotton dark-color fabric is improved.

The invention discloses a steamed water egg maturity detection method, computer equipment and a system, and relates to the technical field of food processing, computer simulation and machine learning. The method for detecting the maturity of the steamed water eggs comprises the following steps: collecting actually measured temperature data in a steaming process of the steamed water eggs in real time; establishing a geometric model, a coupling equation set and the thermophysical parameters to generate reference prediction data; building an analysis platform, training an initial detection model according to the reference prediction data, and extracting a target detection model from the initial detection model according to a training result; generating model prediction data according to the target detection model; verifying the target detection model according to the actually measured temperature data and model prediction data, and optimizing the target detection model according to a verification result; and analyzing the steaming maturing process of the steamed eggs according to the optimized target detection model. With the adoption of the method, the maturity of the steamed water eggs can be scientifically judged, the cooking efficiency is improved, and the taste quality is controlled.

The invention relates to the technical field of computer simulation, and discloses a coal mine underground reservoir environment risk assessment method and system, and the method comprises the steps: constructing a digital twinborn body of a coal mine underground reservoir; establishing a risk assessment index system; collecting monitoring data corresponding to the index system in real time; calculating risk coupling factors among different dimension indexes; according to the risk coupling factor and the real-time numerical value of each index, dynamically adjusting the weight of the index system, and generating a dynamic weight set; calculating a current comprehensive risk level; and extracting physical field parameter values in the real-time monitoring data, inputting the physical field parameter values into a multi-physical field coupling simulation engine for simulation, and outputting a prediction report. According to the invention, dynamic assessment and advanced early warning of the environmental risk of the coal mine underground reservoir can be realized, the risk identification precision and the emergency response capability are improved, and the method is suitable for safety management and control of the whole life cycle of the underground reservoir under complex geological conditions.

The invention discloses a power supply integrity simulation optimization method and device, equipment and a medium, and relates to the technical field of computer simulation, and the method comprises the steps: importing a to-be-simulated PCB design file into a simulation software tool; setting simulation parameters and constraint conditions in the simulation software tool, and operating the simulation software tool to perform power supply integrity simulation analysis and obtain a current simulation result; if the result is that the simulation test is not passed, inputting the current simulation result into a pre-trained power supply simulation dialogue large model to obtain a current optimization suggestion output by the model; the large power supply simulation dialogue model is obtained based on training of a training data set, and the training data set comprises historical simulation results and historical optimization adjustment measures; and adjusting the PCB design file based on the current optimization suggestion, importing the adjusted PCB design file into a simulation software tool for simulation analysis, and adding a current simulation result and a corresponding current optimization adjustment measure into a training data set after the simulation test passes.

The invention relates to the technical field of computer simulation testing, in particular to a dynamic analogue simulation testing method and system for plate type structure service deformation. The technical problem that the structural damage identification precision is insufficient when fixed signal decomposition parameters are used for processing all detection signals is solved. The method comprises the following steps: acquiring a mesoscopic parameter set and a bimodal ultrasonic guided wave original signal set of a to-be-detected plate type structure; based on the mesoscopic parameter set, determining optimization parameters for decomposing the bimodal ultrasonic guided wave original signal set; decomposing the bimodal ultrasonic guided wave original signal set based on the optimized parameters and a signal decomposition algorithm, and determining a target signal set related to structural damage; and performing simulation comparison on the mesoscopic parameter set and the target signal set, and determining the service damage state of the plate type structure. The method is used for plate type structure damage identification scenes.

The invention discloses a wind tunnel-pool combined loading floating fan distributed hybrid test method, which comprises the following steps of: establishing a floating fan multi-body / multi-physical field collaborative reduced scale criterion, dividing a floating fan into two independent physical models and two independent numerical models, and placing the two independent physical models and the two independent numerical models in different laboratories; integrating a physical model, a numerical model, a loading system and a measurement system, and building a floating fan physical-numerical distributed hybrid test platform; and carrying out data interaction and closed-loop control on the physical-numerical hybrid test platform. A fan and a floating platform are adopted as two relatively independent test substructures, test loading or computer simulation can be carried out in different laboratories by establishing different similarity criteria and geometric scale ratios, a collaborative online test and pneumatic-hydrodynamic load loading under the coupling action of wind, waves and flow are carried out through network interaction data, and the test efficiency is improved. The technical problems of environment load high-precision simulation and dynamic coupling response in a reduced scale model test are solved.

The invention belongs to the technical field of computer simulation, and particularly discloses a method, a system and equipment for predicting the fatigue life of a composite material patching and repairing structure. The prediction method comprises the following steps: establishing a composite laminated plate fatigue damage analysis method in combination with an improved Hashin criterion, finite element analysis, a strength degradation model, a rigidity degradation model and a Camanho material parameter degradation model; fatigue life prediction analysis is carried out on the non-porous laminated plate and the porous laminated plate by using the method; and comparing a prediction result with a test result, and verifying the effectiveness of the established composite material laminated plate fatigue damage analysis method. On the basis, a composite material fatigue damage analysis method and a cohesion unit are combined, and a repair structure fatigue life prediction model is established. The fatigue life prediction method for the repair structure is provided by taking the composite material patching and repairing structure as a research object, and has certain engineering practical significance and better practical value.

The invention discloses a direct positioning method based on cross-spectral domain subspace data fusion and Taylor expansion, which comprises the following steps of: firstly, integrating time domain receiving signals of all sensors, and segmentally calculating cross correlation of the receiving signals of every two sensors; a cross-spectrum model is obtained through cross-correlation, forward space smoothing is carried out on the cross-spectrum model, a cost function is constructed through subspace data fusion, and then the extreme value of the cost function is searched to obtain rough estimation of the position of the radiation source; and finally, obtaining a position compensation value by using Taylor expansion to obtain the precise estimation of the position of the radiation source. According to the method, the complexity of calculating the subspace can be reduced, the hardware and calculation burden of the base station is reduced, and the real-time requirement of the time difference positioning system is met; meanwhile, the positioning precision of the algorithm is effectively improved. In computer simulation, compared with other time difference positioning methods, the method provided by the invention shows better positioning precision and better anti-multipath capability.

The invention relates to a preparation process optimization method of a zirconium alloy material with high fretting wear resistance, which comprises the following steps: setting a chemical component optimization range of a zirconium alloy, including specific proportions of tin, iron, niobium, chromium and oxygen elements; establishing a computer simulation model, and predicting the wear volume, tribological stability and microstructure evolution of the material under the fretting wear condition; then, a complete optimization scheme is output based on the model optimization homogenization treatment temperature interval, the hot working deformation range, the cold working cumulative deformation degree and the annealing system; and finally, a preparation process sequence including smelting, homogenization treatment, hot working deformation, cold working deformation and final heat treatment is implemented, the zirconium alloy material with the equiaxed grain structure is prepared, and the wear resistance of the zirconium alloy material is verified through an experimental fretting wear performance test. Compared with the prior art, the method has the advantages that through systematic component design and process parameter simulation optimization, the material performance is remarkably improved, and the application reliability is enhanced.

The invention provides a method for accurately positioning and installing electromechanical equipment in a complex area, and belongs to the technical field of electromechanical equipment installing.The method comprises the steps that three-dimensional space point cloud data is obtained through a multi-dimensional locator to construct an initial positioning vector database, and an installation coordinate matrix is determined in combination with the technical specification of the electromechanical equipment; a coordinate measuring arm and a laser tracking interferometer are used for measuring and calculating a space compensation variation vector and a thermal expansion variation vector to form a comprehensive variation vector. Performing computer simulation on an installation environment based on the acquired data, determining an optimal installation path, constructing a spatial region overlapping matrix and a spatial region idle matrix, performing calculation to generate a selectable region, determining an optimal installation point location by applying a Lagrange multiplier constraint optimization equation set, performing installation and adjustment, monitoring a deviation value in real time, and determining the optimal installation point location. When the deviation value is smaller than a preset threshold value, fixed installation is completed, and finally the installation precision is verified to meet the design requirement through operation testing.

The invention discloses a method for predicting the residual life of an existing asphalt pavement structure, particularly relates to the technical field of computer simulation and data processing, and is used for solving the problem that the existing prediction method cannot efficiently represent the non-uniformity of an existing pavement material and the dynamic environment load influence on the premise of ensuring the precision. Existing damage data of a road surface are acquired to construct a simulation model reflecting a real initial state, material fatigue parameters are acquired in combination with cross-scale analysis, a dynamic environment boundary is driven by utilizing climate time sequence data, and then time-frequency coherence analysis is performed on a damage mode and a climate load to identify a high-threat working condition, so that the high-threat working condition is identified. And finally, preferentially operating high-fidelity thermal-mechanical coupling numerical simulation aiming at a high-threat working condition, and mapping damage evolution data output by simulation to a macroscopic performance degradation process so as to determine the residual fatigue life.

The invention discloses a flow resistance and heat transfer simulation analysis method for a thermal management refrigerant side integrated module, and relates to the technical field of computer simulation. The method mainly comprises the following steps of: dividing a computational domain model into a solid domain, a fluid domain comprising a plurality of single-phase flow channel sub-domains and a flow channel section which is in a gas-liquid two-phase state and exchanges latent heat along with phase change in combination with the need of an actual analysis working condition; performing polynomial fitting on various parameters by fixing the inlet pressure value of each single-phase flow channel sub-domain; loading the fitted physical property function to the corresponding runner sub-domain, and setting a constant material attribute for the solid domain runner plate; a conjugate heat transfer model is started on an interface of a fluid domain and a solid domain, and interface heat flux density conservation and temperature continuity simulation is carried out; setting boundary conditions; and executing conjugate heat transfer simulation calculation until convergence calculation is completed. According to the method, the simulation precision is improved through fusion of three core technologies of dynamic change physical property fitting, solid-liquid conjugate heat transfer coupling and two-phase flow latent heat equivalent modeling.

The invention relates to the technical field of computer simulation, in particular to an anti-static dust-free clothing micro-pollution blocking regulation and control system based on static electricity distribution prediction, which comprises a static electricity data acquisition module for acquiring various data of a working environment and a dust-free clothing surface to construct first static electricity monitoring characteristic parameters; the electrostatic simulation module comprises a simulation unit and a prediction unit, and the simulation unit obtains second electrostatic monitoring characteristic parameters through a multi-dimensional data space clustering analysis method according to the change rule and characteristic parameter joint probability distribution of the collected first electrostatic monitoring characteristic parameters and in combination with an electrostatic physical model and environmental parameters; the prediction unit processes the second electrostatic monitoring characteristic parameter based on a mathematical model and a simulation method to obtain an electrostatic distribution prediction result; the micro-pollution prediction module is used for dynamically predicting and dividing the static electricity distribution prediction result according to the collected micro-pollution data to obtain a micro-pollution distribution area set; according to the dust-free clothes data and the first static monitoring characteristic parameters, micro-pollution blocking in the area is carried out.

The invention relates to the technical field of digital twinning and computer simulation, in particular to a power transmission and transformation project optical cable connection information operation and maintenance system based on a logic model, which comprises a model fusion module for constructing a digital twinning anchor point set by fusing a three-dimensional physical model and a secondary system logic model of a power transmission and transformation project; when the simulation analysis module receives a logic loop alarm, the physical path is reversely traced based on anchor point data, physical field simulation operation is executed, and a physical degradation risk point is output; the augmented reality module realizes spatial registration of a three-dimensional physical model and a live scene through a spatial computing technology, and visually presents logic loop and risk point information. According to the method, the space-time twin anchor points are constructed, the physical field simulation operation is driven, and the diagnosis result and the operation and maintenance instruction are superposed on the live scene through the augmented reality technology, so that the intelligent operation and maintenance closed loop of the optical cable connection information of the power transmission and transformation project is realized, and the troubleshooting efficiency and accuracy are improved.

The invention discloses a simulation test method and system, electronic equipment and a computer program product. According to the scheme, a to-be-verified model is established according to obtained system demand information; according to the system demand information and the to-be-verified model, generating a simulation test instruction, sending the simulation test instruction to the modular integration platform, enabling the modular integration platform to drive different connected simulation test devices to perform simulation test according to the simulation test instruction, and feeding back simulation test data; evaluating and analyzing the simulation test data according to the system demand information, and determining an evaluation result; a verification model is established according to system demand information, then a simulation test instruction is generated, different simulation test devices connected with the modular integration platform are driven through the modular integration platform, and simulation testing on the system level is carried out; scheduling and cooperative work of different simulation test devices are achieved, the cooperative work degree of the different devices is improved, and the simulation test efficiency is improved; the embodiment of the invention can be widely applied to the technical field of computer simulation testing.

The invention relates to a DEM-CFD-VOF coupling model-based method for analyzing movement of a desulfurizing agent in a ladle, which belongs to the technical field of computer simulation and comprises the following steps of: 1, drawing a ladle model and a stirring paddle model by utilizing modeling software, and exporting a corresponding STL file; 2, importing the STL file into software with a DEM model, and establishing a motion control equation of desulfurizer particles; and step 3, importing the STL file into software with a CFD model, performing mesh generation on the ladle model containing the stirring paddle by using a mesh generation tool, establishing a control equation of a liquid phase (molten iron) and a gas phase (air), and tracking free interfaces of the gas phase and the liquid phase and the like by adopting a VOF model in the software with the CFD model. According to the method, the DEM-CFD-VOF coupling model is established to describe movement and dispersion behaviors of desulfurizer particles in the ladle, so that evaluation on the desulfurization effect of the ladle is realized.

The invention discloses a visual display method and system for a three-dimensional simulation scene and a storage medium, and belongs to the technical field of computer simulation, and the simulation method comprises the steps: carrying out ground object mapping on GIS data and the three-dimensional scene; a three-dimensional simulation scene is constructed according to the mapped GIS data, and the three-dimensional simulation scene comprises a rasterized three-dimensional geographic scene and simulation objects constructed in a multi-level mode; observation starting points are selected in the three-dimensional simulation scene, visible spaces corresponding to different observation starting points are obtained, and the visible spaces comprise visible areas and invisible areas; carrying out dynamic visual display on a visual area and an invisible area of the selected observation starting point, and outputting a visual analysis result containing a shielding analysis result; and analyzing communication transmission attenuation based on the invisible area, and outputting a communication analysis result, thereby solving the problems of large resource consumption, poor display continuity and insufficient occlusion processing capability in a large-calculation-amount scene in the prior art.

The invention discloses a 3C-SiC crack propagation and mechanical property prediction method, and belongs to the technical field of material science and computer simulation, and the method comprises the following steps: S1, constructing a polycrystalline 3C-SiC atomic model, S2, simulating the crack propagation behavior of the polycrystalline 3C-SiC atomic model, S3, analyzing the microstructure evolution of the polycrystalline 3C-SiC by using OVITO software, S4, constructing a fracture characteristic evaluation model, and S5, evaluating the fracture characteristics of the polycrystalline 3C-SiC. S5, a mechanical property prediction database based on molecular dynamics is constructed, and visual analysis and quantitative prediction of the crack propagation behavior of the 3C-SiC are achieved. The method is used for researching the crack propagation behavior of the polycrystalline 3C-SiC under different working conditions, and prediction of the fracture toughness and the failure mode of a material is achieved.

A system for non-destructive characterization of specimens that includes an electron beam (e-beam) source for projecting e-beams at one or more e-beam landing energies on a specimen; an X-ray detector for sensing X-rays emitted from the specimen, thereby obtaining measurement data; and processing circuitry configured to: (i) extract from the measurement data key features specified by a vector {right arrow over (f)}key; and (ii) estimate values {right arrow over (p)} of one or more structural parameters, characterizing the specimen, based on {right arrow over (f)}key and a set of vectors of ground truth (GT) and simulated key features {{right arrow over (f)}n}n=1N. Each of the {right arrow over (f)}n is a product of GT measurements or of computer simulations of emission of X-rays from a respective GT or simulated specimen due to impinging thereof with e-beams at each of the one or more landing energies.

The invention relates to the technical field of computer simulation, and provides an ecological restoration measure carbon sink effect quantitative simulation prediction method and system based on digital modeling. The method comprises the following steps: collecting ecological element information of a target drainage basin, extracting a multi-dimensional spatial distribution feature set, and establishing an ecological environment response simulation model under engineering disturbance in combination with digital baseline data; constructing a carbon sink effect quantitative model based on construction operation situation information, and embedding the carbon sink effect quantitative model into associated nodes of the ecological environment response simulation model to realize coupling; the dynamic influence of engineering construction operation on the drainage basin carbon sink capacity is simulated based on the coupling model, the multi-target optimization decision matrix is generated, the pre-optimization decision suggestion is output, collaborative simulation of ecological environment response and carbon sink effect quantification is achieved, and the accuracy of hydropower engineering carbon sink influence prospective evaluation and the scientificity of decision suggestion are improved.

The invention relates to the technical field of computational simulation, in particular to a modeling method for constructing any chemical short-range ordered multi-principal element alloy structure, which comprises the following steps: setting target values and convergence conditions of chemical short-range ordered parameters; calculating parameter values of chemical short-range order parameters of the initial configuration; calculating an initial difference value; judging whether the initial difference value meets a convergence condition or not; if yes, outputting an atomic configuration; if not, carrying out iterative operation; the iterative operation process comprises the following steps of: randomly exchanging two atomic positions to obtain a new configuration; calculating a difference value between a parameter value number of the chemical short-range order parameter of the new configuration and a target value to obtain an exchanged difference value; judging whether the difference value after exchange is smaller than the difference value before exchange or not; if yes, current exchange is accepted; and after the convergence condition is met, outputting the atomic configuration. According to the method, the function of directly generating a specific structure from structural features is achieved, and atom configuration of any chemical short-range ordered feature can be customized in a wide component space.

A system and method for automatically generating immersive training scenarios for workers in an industrial environment for hazardous events in a computer simulated environment is provided. The method includes acquiring, by processing unit, information pertaining to operation of assets and related anomalies and hazards in industrial environment for which training scenarios are to be simulated, loading simulation sequence of industrial environment including assets operating at ideal behavior, wherein simulation sequence executes a first set of tasks on virtual assets within ideal behavior, defining one or morse sequence of events that lead to hazardous event in industrial environment based on acquired information, determining second set of tasks to be executed in loaded simulation sequence, simulating second set of tasks in loaded simulation sequence, and generating immersive training scenario in computer simulated environment based on execution of the first set of tasks and the second set of tasks in loaded simulation sequence.