232results about How to "Realize simulation" patented technology

The invention discloses a multi-working-condition-oriented equipment fault diagnosis method based on unbalanced learning, and the method comprises the following steps: collecting the operation data of equipment under different working conditions through a plurality of sensors, carrying out the preprocessing, feature extraction and feature selection of the collected original operation data, and obtaining a feature set; processing the feature set by adopting an unbalanced learning technology and a cost-sensitive learning algorithm to obtain a balanced data set; constructing a multi-working-condition fault diagnosis model based on learning, and optimizing model parameters by adopting a method of combining cross validation and grid search according to a balanced data set in a model training process; deploying a multi-working-condition fault diagnosis model obtained through training, carrying out the online diagnosis of equipment faults, and continuously updating and optimizing the model through a continuous learning mechanism. According to the method, the unbalanced learning technology is applied to multi-working-condition fault diagnosis, the accuracy and robustness of diagnosis can be remarkably improved, and real-time monitoring and predictive maintenance of the equipment health state are achieved.

The invention provides a power generation performance evaluation method for an offshore floating photovoltaic power generation system, and the method comprises the steps: considering the influence of offshore wind wave fluctuation, researching the inclination angle change characteristics of a photovoltaic module installed on a floating body structure under different sea conditions, and building a single-sided and double-sided photovoltaic module dynamic and static irradiance model considering the influence of sea wave motion; the invention provides a method for generating a scene with uniform and non-uniform irradiance distribution of an offshore floating type photovoltaic array. The irradiance distribution model and the electrical model of the offshore floating photovoltaic array are combined to form a method for simulating the maximum output power Pmax change characteristic of the offshore floating photovoltaic array under the influence of sea wave operation; and evaluating the annual energy output in the target sea area by combining the wind wave data and irradiance distribution in the target sea area and the maximum output power Pmax change characteristics of the floating photovoltaic array. Compared with an existing photovoltaic power generation performance evaluation method, the influence of sea wave fluctuation on the power generation characteristics of the photovoltaic array is considered, and the method is suitable for an offshore floating type photovoltaic power generation scene.

The invention provides a coal mine gas inspection task generation and distribution method and system, and relates to the technical field of coal mine safety management. The method specifically comprises the following steps: acquiring coal mine geologic structure distribution data and coal mine gas real-time concentration distribution data, and carrying out spatial topology simulation analysis and gas distribution matching to obtain a coal mine gas real-time distribution simulation space; performing wind power distribution detection and wind stopping area division processing on the coal mine to obtain a coal mine gas distribution space fixed wind stopping area and a coal mine gas distribution space temporary wind stopping area; and performing zoned gas leakage hot spot analysis and inspection task generation processing on the coal mine gas distribution space fixed blowing-out area and the coal mine gas distribution space temporary blowing-out area, and performing inspection capability detection and inspection task distribution processing to obtain a coal mine gas inspection task distribution result. According to the invention, the gas inspection efficiency and safety are effectively improved.

The invention discloses a knowledge-guided visual simulation method for a railway bridge construction process, belongs to the field of railway bridge construction, and solves the problems that the railway bridge construction process in the prior art relates to many elements, is difficult in relation capture, is not clear in behavior state description, is continuously iterated and updated along with the promotion of the construction process, is complex in environment change, and is poor in reliability. And the incidence relation between the bridge main body model and the visual simulation environment is difficult to establish. The method comprises the following steps: acquiring railway bridge construction data including GIS data, field data and construction data; constructing an entity-process-behavior three-domain associated railroad bridge construction scene knowledge graph based on the obtained railroad bridge construction data; and performing knowledge-guided dynamic visual simulation of the railway bridge construction process based on the railway bridge construction scene knowledge graph. The method is used for visual simulation of the railway bridge construction process.

The invention discloses a numerical analysis method for predicting speed distribution of downwash airflow of an unmanned aerial vehicle in a rice canopy based on a fluid-solid coupling method. The numerical analysis method comprises the following steps: measuring physical parameters of rice plants based on physiological characteristics of rice; establishing a three-dimensional rice plant model based on three-dimensional geometric modeling software; dividing a three-dimensional rice plant canopy grid based on grid division software; establishing a fluid-solid coupling model of the lower washing flow field of the unmanned aerial vehicle and the rice canopy; setting an initial boundary condition and performing spatial discretization; full-coupling finite element numerical simulation of the fluid-solid coupling model is carried out; performing post-processing on the numerical simulation result based on flow field post-processing software to obtain an evolution process and spatial distribution of the downward washing flow field of the unmanned aerial vehicle and dynamic behaviors of rice plants; and analyzing the influence of the dynamic behavior of the rice plant on the downwash airflow of the unmanned aerial vehicle, and determining the distribution rule of the downwash airflow speed in the rice canopy. The problems of high time consumption, influence of external conditions, difficulty in copying, limitation and the like are effectively solved.

The invention relates to a digital twinning-based rail transit star chain system and a corresponding communication scheme design optimization method. The system comprises a sensing network, a station center digital twin server cluster system, a station center supervision system and corresponding intelligent service businesses, wherein the sensing network covers rail transit star chain systems of trains, trackside infrastructures, station centers and the like in an omnibearing manner. According to the system and the method, all parameters of an urban rail transit system based on an orbital star chain in an actual physical domain are mapped to a virtual digital domain system, so that all-directional supervision of a full-connection system, effective utilization of multi-source data characteristics and short-time accurate modeling of a channel environment with variable position environment parameters are realized; a communication link selection strategy model is constructed in combination with a model-based reinforcement learning method, and loop optimization is realized and an optimal communication link decision scheme is finally obtained by continuously training the model in a digital domain and collecting samples and verifying the model in a physical domain.

The invention discloses an experimental device and an experimental method for researching a hydrogen sulfide elutriation mechanism of a sulfur-containing gas reservoir, and belongs to the technical field of natural gas exploitation, the experimental device for researching the hydrogen sulfide elutriation mechanism of the sulfur-containing gas reservoir comprises an artificial core model; at least one acquisition element; and at least one pipe body part and an injection-production assembly. By arranging the pipe body part composed of the inner pipe part and the outer pipe part which can rotate oppositely, the position relation between the inner outlet set on the inner pipe part and the outer outlet set on the outer pipe part can be correspondingly adjusted through relative rotation between the inner pipe part and the outer pipe part, so that the pipe body part and the artificial rock core model are communicated at different layer positions, and the artificial rock core model can be conveniently and rapidly constructed. Therefore, the control operation of the gas injection-production layer is realized, and the simulation of different reservoirs is realized.

The invention discloses a hardness testing device for cured resin for dental implant molding, and relates to the technical field of resin hardness testing. Comprising a test installation part, a driving butt joint part is installed on the test installation part, and a closed butt joint part is installed on the test installation part; the closed butt joint piece is used for driving the butt joint piece in a negative pressure suction mode. The interior of the driving butt joint piece is used for injecting resin; an adhesive force detection piece is mounted on the test mounting piece; the adhesive force detection piece is used for upwards moving and jacking the cured resin; a middle curing test piece is mounted on the adhesive force detection piece; the grinding control piece can be used for grinding the surface of the resin when the hardness of the resin is detected, so that the detection surface of the resin is vertical to the hardness detection ejector pin, and the accuracy of a detection value is ensured; the problem that an existing cured resin hardness testing device for tooth implantation forming is inconvenient to automatically control a hardness needle to be perpendicular to a resin detection surface during resin hardness detection is solved.

The invention provides an electric energy meter comprehensive performance evaluation method and system, and relates to the technical field of electric energy meters, and the method comprises the steps: carrying out the application load analysis through obtaining the basic specification information of a to-be-evaluated electric energy meter, and generating a non-standard load set; carrying out introduction analysis and fusion on a harmonic component, a peak current, a nonlinear power factor and a dynamic load for a non-standard load set to generate a plurality of groups of fused nonlinear introduction variables; determining a test circuit for testing the to-be-evaluated electric energy meter; inputting the multiple groups of fused nonlinear introduced variables into a dynamic load simulator to carry out load simulation on the test circuit, and recording multiple groups of precision test results of the electric energy meter; and performing comprehensive performance evaluation according to the multiple groups of electric energy meter precision test results to generate a comprehensive evaluation result. According to the invention, the technical problem of insufficient accuracy of the evaluation result caused by lack of performance evaluation means for the electric energy meter under the dynamic change load in the electric energy meter test in the prior art is solved, and the accuracy and practicability of the performance evaluation of the electric energy meter are improved.

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 belongs to the technical field of automobile testing, and discloses an automobile brake jitter evaluation method and system, and the method comprises the steps: setting a plurality of working conditions, and simulating the cold state, temperature rise, high temperature, cooling and low temperature experiment processes of a whole automobile road test; and under multiple working conditions, brake shake evaluation of a low disc temperature section, a middle disc temperature section and a high disc temperature section is carried out on the vehicle, and the multiple working conditions have different vehicle speed changes, brake strengths and gears. According to the invention, automobile brake jitter evaluation is carried out by adopting different automobile speed changes, different brake intensities and different gears, so that the product development process is closer to the use condition requirements of customers, and the use conditions of the customers can be fully simulated. The method has multiple application verification dimensions, verification working conditions meet the use requirements of customers, and the test quality is greatly improved.

The present invention discloses a method for dynamic simulation of flood inundation of digital twins of small and medium-sized watersheds based on UE5. It includes the following steps: step one: construct a two-dimensional hydrodynamic numerical model; step two: create a flood inundation simulation UE5 plug-in project; step three: create a flood role class; step four: construct a method for drawing triangular mesh primitives of flood models; step five: construct a method for rendering flood hydrological characteristics and flood flow patterns; step six: realize the dynamic simulation process of digital twin flood inundation. The present invention realizes the dynamic rendering and high-fidelity visualization of large-scale flood models in the three-dimensional scenes of digital twins of small and medium-sized watersheds, expresses the multi-dimensional flood inundation numerical simulation results such as water level, water depth, flow velocity, flow direction, as well as complex flood flow patterns such as backflow, convergent flow, bifurcated flow, floodplain flow, turbulence, etc., improves the authenticity and accuracy of flood inundation simulation, and is conducive to enhancing the decision-making support capabilities of flood risk assessment and flood control plans in small and medium-sized watersheds.

The invention discloses a multi-dimensional user data acquisition and analysis method based on a virtual reality scene, and particularly relates to the field of user data acquisition and analysis, which is characterized in that a monitoring area is delimited by analyzing virtual crowd distribution in a VR scene, a virtual sentry is set, an intelligent monitoring scene is simulated, and the user data acquisition and analysis efficiency is improved. A virtual sentry can monitor a specific target according to a preset task, and at the same time, label and update a user portrait of a virtual crowd to refine user feature description, realize integration of real scene materials in a VR environment and construction of a dynamic virtual crowd, and can provide a user experience for the virtual sentry in a place or scene requiring behavior monitoring, target identification and user feature analysis. And powerful virtual data support is provided for related identification AI model training.

The invention discloses a point cloud generation method and system for deep learning semantic segmentation of a building prefabricated component. The method mainly comprises the steps of creating a structured text of a building prefabricated part generation rule, automatically generating a standardized building prefabricated part model based on a Revit secondary development environment, and generating point cloud data by using a graphics method. According to the method, the document is divided into three parts, namely the prefabricated part category, the corresponding size and the geometric feature, so that the structured building prefabricated part text is obtained, the readability of the building specification is improved, a reader can understand the text conveniently, the building prefabricated part model meeting the requirements of the building specification is generated in an automatic mode, and the working efficiency is greatly improved. The method can efficiently realize automatic and standardized generation of the point cloud data of the building prefabricated part model, and serves for size and quality detection of the building prefabricated part.

The invention discloses an environmental chemistry research automation system and method based on a large language model, and relates to the technical field of environmental chemistry automatic research. The environmental chemistry research automation system based on the large language model comprises a key information extraction module, a structure generation and optimization module, an experiment scheme generation module, an experiment management module and a visual editing module. According to the method, full-automatic workflow from experimental design to data analysis is achieved, the research efficiency and accuracy are remarkably improved, through the method, complex scientific problems can be converted into understandable input of a language model, complex analysis and reasoning processes are completed through the model, and a physical and chemical calculation tool is combined, so that the research efficiency is improved. According to the method and the system, comprehensive simulation and calculation of a research object are realized, the degree of human participation is effectively reduced, subjective deviation caused by human decision is reduced, and scientific research becomes more systematized and accurate.

The invention relates to an air conditioner cold station unit start-stop control method considering measurement uncertainty. The method is suitable for the technical field of building energy saving and intelligent building control. According to the technical scheme, the method comprises the following steps: acquiring the sensor deviation and measurement noise of each measurement parameter with uncertainty of the air conditioner cold station, and calculating the measurement error distribution of the sensor corresponding to each measurement parameter; based on the measurement value of each sensor and the measurement error distribution of each sensor at the current control moment, generating a plurality of possible truth value scenes through an adaptive Monte Carlo method, the possible truth value scenes comprising possible truth values of each measurement parameter; based on the possible truth value scene, in combination with a mathematical expectation form about measurement parameters, solving and calculating to obtain an optimal start-stop strategy of each water chilling unit of the air conditioner cold station at the current control moment; the mathematical expectation form about the measurement parameters is to express the start-stop control task of each water chilling unit of the air conditioner cold station by using a robust optimization theory.

The invention discloses a multi-crane cooperative hoisting operation planning system and method.The system comprises a model library module, a follow-up strategy module, a safety module, an instruction compiling module and a scheme simulation module, environment scene and building setting is conducted in the model library module, main and auxiliary crane models are selected, and corresponding working conditions and hoisting objects are set; selecting a collaborative operation follow-up strategy in the follow-up strategy module; in the action simulation process, the auxiliary crane is automatically driven to perform corresponding actions according to the selected follow-up strategy; and the instruction compiling module selects to store action instructions of the main crane and the auxiliary crane until the whole operation is completed, and then hoisting instruction extraction and instruction optimization are performed. And finally, the whole hoisting process is reproduced in a scheme simulation module, and a hoisting scheme is confirmed, so that the whole multi-machine collaborative hoisting operation planning is completed. According to the invention, simulation and prediction of each link of the hoisting operation can be realized, and the safety and the operation efficiency of the hoisting operation are effectively improved.

The invention provides a high-temperature and high-pressure dynamic simulation erosion test system, and relates to oil and gas field pipe erosion wear experiment research, the system comprises a feeding unit, an erosion simulation unit, an environment simulation unit and a control unit, the feeding unit comprises a main pipeline and a sand adding assembly, the sand adding assembly comprises a sand storage device, a sand mixing mechanism connected with the sand storage device and a sand outlet pipeline connected to the sand mixing mechanism. The erosion simulation unit comprises an erosion chamber and an adjustable spray head, and the spray head is connected with a main pipeline through a hose; the environment simulation unit comprises a clamping device, a pressurizing assembly and a temperature adjusting assembly, the clamping device comprises a kettle body, the temperature adjusting assembly is arranged on the outer side of the kettle body, a middle shaft is arranged in the kettle body, one end of the middle shaft is connected with the pressurizing assembly, the other end of the middle shaft extends into the erosion chamber, and a sample piece to be eroded can be installed at the end of the middle shaft; and the feeding unit, the erosion simulation unit and the environment simulation unit are all in communication connection with the control unit. According to the invention, high simulation of real erosion working conditions can be realized.

The invention discloses a server test environment guarantee method and system based on dynamic simulation, a storage medium and computer equipment. The method comprises the steps that the air inlet temperature, real-time power consumption and heat dissipation strategy signals of a tested server and the actual environment temperature of an incubator are collected in real time; dynamically setting the temperature of the air inlet of the tested server as the target environment temperature of the incubator, and calculating the real-time temperature deviation between the actual environment temperature and the target environment temperature; if the real-time temperature deviation exceeds a preset threshold value, a dynamic PID control algorithm is triggered, a basic control quantity is obtained through calculation according to the real-time temperature deviation through the dynamic PID control algorithm, a dynamic compensation quantity is obtained through calculation according to the target environment temperature, the real-time power consumption and the heat dissipation strategy signal, and the heat dissipation strategy signal is obtained based on the basic control quantity and the dynamic compensation quantity. Generating a temperature control instruction of the incubator; according to the temperature control instruction, a refrigerating or heating device of the incubator is dynamically adjusted so as to guarantee the test environment of the tested server.

The invention discloses a gas pipe network simulation analysis system. Comprising a gas pipe network data acquisition unit, a pipe network topological structure building unit, a pipe network data value influence factor analysis unit, a gas pipe network data prediction model building unit, a gas pipe network data periodic prediction unit, a gas pipe network data regulation and control unit, a risk early warning unit and a gas pipe network data storage unit. According to the method, the simulation of the gas pipe network is realized by building the pipe network topological structure in the virtual environment; meanwhile, periodic prediction of the gas pipe network data is achieved through a time recurrent neural network model, the collected real data value on the gas pipe network is compared with the periodic prediction range value of the gas pipe network data, the risk of the gas pipe network is judged, and if the real data value exceeds the periodic prediction range value of the gas pipe network data, the risk of the gas pipe network is judged. And if yes, regulating and controlling the real data value of the gas pipe network data exceeding the preset threshold value by regulating valves on branches and branch nodes in each constituent part in the virtual pipe network.

The invention discloses a KDP crystal surface supersaturation simulation calculation method based on UDS, which relates to the technical field of crystal growth numerical simulation, and comprises: establishing a physical geometric model of a crystal growth groove, meshing the physical geometric model, and then importing it into Fluent simulation software; based on a user-defined scalar equation UDS, coupling fluid turbulence and energy equations, establishing a solute transport equation of a KDP crystal growth system; based on a KDP crystal surface solute reaction boundary condition, writing a user-defined function UDF, and based on a user-defined storage UDM, storing the equilibrium concentration of a KDP solution, mounting a custom function of equilibrium concentration varying with temperature, thereby constructing a self-consistent function of crystal surface growth rate; coupling the established equations and functions, establishing a mathematical model of the KDP crystal growth system, setting a calculation domain condition and a boundary condition of the mathematical model, and calculating and solving to obtain the supersaturation distribution of the KDP crystal growth system.

The present invention provides a testing device for a pulser, comprising: a simulated main valve; the simulated main valve comprises a connection part for connecting with the pulser to be tested, and a pressure feedback part installed on the connection part so as to be movable up and down; a simulated load is arranged on the pressure feedback part, and an acceleration sensor and a collection and communication component connected to the acceleration sensor are fixed on the simulated load, and the collection and communication component is used to receive the signal collected by the acceleration sensor and then output it to a terminal device; an air source supply component is connected to the simulated main valve, and is used to deliver high-pressure gas to the simulated main valve to simulate the pressure of the drilling fluid downhole. The simulation of the downhole environment is realized by the simulated load and the air source supply component, and the accuracy of the test results is improved; and the high-pressure gas will not cause pollution to the pulser, and the damage to the pulser to be tested caused by the test process is avoided; in addition, by setting the simulated main valve, the problem that the influence of the main valve on the test results is difficult to eliminate is also solved.

The invention relates to the technical field of ultrasonic treatment, and discloses an ultrasonic phased array acupuncture system for simulating acupuncture manipulation, comprising: a signal control module comprising M signal channels, the signal control module generating different ultrasonic pulse signals in different signal channels in response to selection of acupuncture manipulation modes and sound field parameters; the ultrasonic phased array module comprises M planar array elements located on the same plane, the ultrasonic phased array module is used for receiving the ultrasonic pulse signals of the signal control module, and the ultrasonic pulse signals of the M signal channels control the M planar array elements respectively; the planar array elements comprise N focusing array elements and P angular momentum array elements; angular momentum array elements are distributed in a circular ring array; m = N + P; and the N focusing array elements and / or the P angular momentum array elements emit different ultrasonic pulses under the control of different ultrasonic pulse signals. Two sound fields are adopted, the acupuncture points of the human body are subjected to ultrasonic stimulation accurately and effectively, and the treatment effect of acupuncture and moxibustion is improved.

The invention discloses an urban domain large-scale computational fluid mechanics analysis simplified modeling method and device, and belongs to the technical field of civil engineering computational fluid mechanics, and the method comprises the steps: obtaining geographic information system data of a target urban domain; dividing the target city area into a building area and a non-building area; for the building area, classifying the building area into a building dense area and a non-building dense area according to the building coverage rate; for the building dense area, modeling all buildings in the building dense area into a three-dimensional geometric model as a three-dimensional geometric model of the corresponding area; for a non-building dense area, constructing a three-dimensional geometric model of each building in the non-building dense area, and taking a combination of the three-dimensional geometric models of the buildings as a three-dimensional geometric model of a corresponding area; and carrying out assembling and attribute endowing on each three-dimensional geometric model to finish modeling of the computational fluid mechanics analysis model. According to the method, computational fluid mechanics efficient modeling can be carried out on a large-scale urban domain.

The invention relates to the technical field of system load simulation, in particular to an analog simulation method and device for a system load. The method comprises the following steps: acquiring a CPU utilization rate of a system; when the CPU utilization rate exceeds a preset range and is smaller than a preset value, the number of loop body threads is increased in a thread pool; when the CPU utilization rate exceeds a preset range and is greater than or equal to the preset value, increasing the cycle frequency of a target thread in the thread pool; and when the cycle period of the target thread is greater than a preset period, interrupting the target thread and moving the target thread out of the thread pool. According to the method, the precision of system load simulation can be improved.

The invention discloses a highly integrated synchronous simulation multi-pollution source smog chamber system and a working method. Comprising a smog chamber, an outer box body, a zero gas generator, a solvent release unit, a biomass combustion furnace, a coal combustion furnace, an automobile exhaust emission collection unit, a temperature regulation and control unit, a humidity regulation and control unit, a plant emission collection unit, a multispectral light source and an industrial personal computer, the smog chamber is a square transparent box body, and the multispectral light source is located outside the smog chamber. The solvent release unit comprises a vacuum storage tank and a solvent beaker; and the vacuum storage tank, the biomass combustion furnace, the coal combustion furnace, the automobile exhaust emission and collection unit and the plant emission and collection unit are also respectively connected with the smog chamber through pipelines. The temperature regulation and control unit comprises a refrigerating unit and an electric heating pipe, and the humidity regulation and control unit, the electric heating pipe and an evaporator of the refrigerating unit are all arranged in the smog chamber. According to the invention, by integrating emission of various pollution sources, the real illumination condition of the environment is accurately simulated, and comprehensive simulation research on variable factors in the atmospheric environment is realized.

The invention provides a true three-dimensional landslide model test device under a multi-factor coupling effect, the true three-dimensional landslide model test device comprises an assembly type model box and a support arranged on the outer side of the assembly type model box, a mechanical lifting system is arranged at the bottom of the assembly type model box, and the left side of the assembly type model box is connected with a flow velocity and water temperature control system through a pipeline; a rainfall and temperature control system is arranged on the support, a stress simulation system is arranged on the side edge of the assembly type model box, a deformation monitoring system is further arranged in the assembly type model box, and a true three-dimensional model arrangement system is arranged on the side edge of the assembly type model box. The rainfall system can effectively overcome the application limitation that accurate control cannot be achieved, the rainfall intensity, range, position and duration can be adjusted in real time, and simulation of various rainfall working conditions is achieved; by controlling the precipitation amount, the influence of the rainfall effect on the stability of the reservoir bank slope at different water levels can be studied.

The invention relates to the technical field of micro-grid simulation, in particular to a micro-grid closed-loop cross validation simulation system, method, device and medium, and the system comprises a bottom layer data generation module, a topology automatic mapping module, a communication protocol module, a master station control module, an index evaluation module, a human-computer interface module and a historical section playback module. The system can simulate steady-state operation characteristics of different types of micro-grid elements, interaction with an external micro-grid energy management system can be realized based on the system, and a closed-loop cross validation test is realized through a master station simulation function of the system; based on the system, simulation of different characteristic resources can be realized, verification of different investment subjects and different user operation targets, micro-grid dynamic aggregation capability verification, distribution and micro cooperation verification and the like can be realized, meanwhile, based on the system, micro-grid group verification can be realized, and a test environment is provided for master station micro-grid group cooperation control.

The invention discloses a rotary kiln multi-physical phenomenon numerical simulation method based on artificial intelligence reasoning, and relates to the technical field of rotary kiln multi-physical phenomenon simulation. On the basis of an Euler multiphase flow equation, a heat transfer model, a chemical kinetic reaction model, a particle growth model, a chemical reaction model and the like are added; establishing a three-dimensional numerical model capable of accurately simulating multiple physical and chemical phenomena such as gas-solid two-phase flow movement, combustion, NOx generation, clinker calcination and particle growth in the rotary kiln; a long-short-term memory neural network is introduced to build an AI model, the AI model is used for predicting the working condition of the second half section of the model, the simulation speed is increased, and long-time simulation of the rotary kiln is achieved.