273results about How to "Improve calculation accuracy" patented technology

The invention provides a system frequency response estimation method and system based on a fault position, and belongs to the technical field of new energy power grids, and the method comprises the steps: constructing a new energy multi-operation-state model; solving the node voltage of the state model after the fault based on the superposition principle and iterative calculation, establishing a mapping model of the fault position and the low-cross cluster, obtaining the initial value of the active power vacancy, and comprehensively considering the difference between the initial value of the active power vacancy and the active recovery rate between stations at different fault positions. Calculating the system-level total active power vacancy considering the station low-voltage crossing characteristic difference; and constructing a system frequency response model based on the frequency modulation capability difference caused by the fault position, and estimating the system frequency response by adopting the response model. According to the invention, quantitative description of active power vacancy and system equivalent frequency modulation capability loss after disturbance at different fault positions is realized, so that the accuracy of frequency response analysis is improved.

The invention relates to the technical field of coal mining and rock mechanics numerical simulation, and discloses a stress field reconstruction method of a plane strain numerical simulation model for coal mining, and the method comprises the following steps: firstly, obtaining an actually measured vertical stress increment and an actually measured bearing pressure peak value position of a stope face; then, an initial plane strain numerical simulation model is constructed, the space error between the peak position of the simulated bearing pressure and the actual measurement position meets a preset threshold value by adjusting the excavation step pitch, and therefore the numerical simulation calculation state is locked to eliminate space-time dislocation; a simulation strain increment is extracted in a locked state, a theoretical vertical stress difference equation is constructed based on an elastic mechanics plane strain constitutive relation, and a parameter inversion equation set is established in combination with multi-measurement-point data; and solving the corrected elastic modulus and Poisson's ratio by using a least square optimization algorithm. According to the method, through physical state locking and incremental theory inversion, system errors are effectively eliminated, and the reconstruction precision and mechanical preciseness of the mining-induced stress field are improved.

This invention relates to a method and system for gyroscope attitude estimation and error compensation based on SO(3) complementary filtering. The method includes: establishing an attitude estimation model on the SO(3) group, representing the carrier attitude as an estimated rotation matrix satisfying orthogonal constraints, and designing a cost function that includes accelerometer and magnetometer information; collecting sensor data from the inertial measurement unit; calculating the corrected angular velocity based on the cost function and the current sensor measurement values, and converting the sensor measurement deviation into a correction amount on the SO(3) group using vector cross product operation; using the corrected angular velocity to estimate and update the gyroscope zero bias online, and performing real-time tracking and compensation for gyroscope drift; performing matrix exponential mapping operation on the compensated angular velocity using the Rodrigues formula to achieve incremental updates of the rotation matrix while maintaining SO(3) manifold constraints; and outputting the estimated attitude information and gyroscope zero bias. This invention improves numerical stability and computational accuracy.

This application discloses a method and system for predicting reservoir bank landslides induced by reservoir impoundment based on the principle of refraction. The method includes: obtaining the natural slope angle above water in the natural state and the stable slope angle underwater in the saturated state of the target reservoir bank slope; introducing and calculating the refractive index to characterize the degree of difference between the natural slope angle above water and the stable slope angle underwater; the introduction of the refractive index is based on the understanding of landslide mechanisms: during reservoir impoundment, the water surface acts as an interface for abrupt changes in the physical and mechanical properties of the soil and rock mass, leading to a discontinuous reconstruction of the slope's stable morphology with the water surface as the boundary. The reservoir impoundment process follows the principle of mass conservation, and the actual inclination angle of the failure surface, instead of the natural slope angle above water, better reflects the mechanical state of the slope during instability; based on the value of the refractive index, the instability risk and progressive failure range of the target reservoir bank slope during reservoir impoundment are qualitatively or quantitatively predicted. This application improves the early risk identification and dynamic warning capabilities for reservoir bank landslides induced by impoundment.

The application discloses a semi-airborne full-time electromagnetic forward method based on an Octree grid, which performs spatial discretization on time-domain Maxwell equations, thereby effectively reducing unknowns of equations to be solved. For full-time electromagnetic field numerical simulation, the application combines the high calculation precision of the second-order backward Euler method with the high OFF-Time calculation efficiency of the model reduction algorithm, adopts the second-order BDF and the model reduction algorithm to respectively solve ON-Time and OFF-Time time-domain control equations, forms a joint algorithm to realize simulation of semi-airborne time-domain electromagnetic full-time response, and finally completes the forward calculation process. Through numerical simulation verification, in the full-time transient electromagnetic forward process, the application can keep small occupied memory and also has higher calculation efficiency, and the calculation precision is not lower than that of other methods.

The present application relates to the technical field of short-circuit current calculation, and particularly relates to a flexible DC system short-circuit current calculation method based on a physical information neural network, comprising: setting a model input feature vector, the model input feature vector being used to represent a system operating state before a fault and fault information, and performing data preprocessing on the model input feature vector; constructing a hybrid driving calculation model, the hybrid driving calculation model comprising a physical calculation module and a neural network module, and being coupled based on a preset fusion architecture; performing end-to-end training and optimization on the hybrid driving calculation model by using a preset composite loss function; and performing flexible DC system short-circuit current calculation based on the optimized hybrid driving calculation model, so that the problems of poor precision, speed and convergence, poor interpretability and weak generalization ability in the prior art are solved.

The application provides a multi-dimension evaluation method for an interference scene, which solves the problems of evaluation hysteresis, improves the consistency of evaluation, solves the single dimension of evaluation and the lack of consideration of terrain in the evaluation of the interference scene; the position accessibility analysis of terrain perception of a propagation path between a signal simulation device and a target device is carried out based on a digital elevation model; the device behavior compliance analysis is carried out in four dimensions of time domain, space domain, frequency domain and energy domain; if there is a moving route, the route coverage and signal continuity analysis are carried out in combination with the analysis results of the former two; finally, the analysis results of the three dimensions are weighted and fused to calculate the scene comprehensive effectiveness score and map it to high, medium and low three levels of confidence. Through the construction of the multi-dimension collaborative pre-evaluation system, the scientific and quantitative pre-evaluation of the training scene planning scheme is realized, the planning quality and efficiency are effectively improved, and the risk of waste of training resources is reduced.

The application discloses a conductor dancing risk early warning method and system based on multi-dimensional feature data, relates to the technical field of conductor risk early warning, and comprises the following steps: determining a multi-modal dynamic model of a power transmission line by generating each node position based on collected conductor line parameters, decomposing each span conductor through the multi-modal dynamic model, setting a single three-node isoparametric cable unit for each section, and forming an equivalent load vector of the cable unit node according to the force of the cable unit node and the vertical gravity load. The method accurately models the gravity loading density of the unit combined with the influence of the complex external environment by comprehensively defining the line density and the ice correction density, thereby improving the calculation accuracy of the equivalent load vector of the conductor node under the combined loading of the wind load and the gravity.

A kind of zirconium alloy water environment corrosion microscopic mechanism analysis method based on ab initio molecular dynamics, 1, construct the multi-phase interface model of metal substrate model and corrosion medium layer model combination, obtain the size information of simulation box;2, set simulation parameters for multi-phase interface model;3, carry out geometry structure optimization to multi-phase interface model and eliminate local internal stress, then carry out ab initio molecular dynamics simulation, obtain atomic evolution track and corrosion product structure;4, carry out data post-processing and statistical analysis to ab initio molecular dynamics simulation result, obtain corrosion elementary reaction path and calculate reaction energy barrier, the interaction mechanism of corrosion group and surface is analyzed by DFT method.The method can complete accurate zirconium alloy corrosion process dynamic simulation under periodic boundary condition, has higher calculation precision and is more reasonable to the description of interatomic force in system, and can also analyze the interaction mechanism between alloy and corrosion medium from atomic electronic scale.

The application relates to the technical field of chip design, in particular to an AI-based DDR5 memory interface chip adaptive method and system.The method comprises the following steps: obtaining a configuration instruction stream, extracting current and historical configuration instructions, and predicting target pins, switching time and target modes.Before the switching time, target electrical parameters are calculated according to pin electrical characteristics, historical switching records and channel load characteristics.During the switching, the target parameters are loaded and the temporary impedance matching network is switched in.After the switching, a fine-tuning increment is generated according to the deviation of the signal quality and the threshold value, and the updated electrical parameters are obtained by superposition, and the matching network is disconnected after the updated electrical parameters are written back to the register.According to the timing error and the fine-tuning increment generated by multiple switching, the weight parameters are updated and deployed back to the chip.Through AI prediction and the dynamic switching and fine-tuning of the temporary impedance matching network, seamless, stable and low-delay mode switching of the memory interface chip in the reconfigurable computing system is realized.

The utility model discloses a testing device for testing the flow coefficient of a flow regulating valve. The testing device comprises a water tank; the flow regulating valve is arranged on the main pipeline; the differential pressure sensor is connected to the main pipeline on the two sides of the flow regulating valve; the pressure difference regulating valve is arranged on the main pipeline; the pneumatic three-way valve is arranged on the main pipeline, an inlet of the pneumatic three-way valve is connected to an outlet of the differential pressure regulating valve, and a first outlet of the pneumatic three-way valve is connected to an inlet of the water tank; the container is connected with a second outlet of the pneumatic three-way valve; and the mass meter is used for measuring the mass of the container. According to the device, a weighing method is adopted for flow measurement, a PLC system is combined for control and data collection, operation of a three-way valve and an auxiliary pump and the rotating speed of the pump are controlled, and signals of a high-precision electronic balance and differential pressure signals of a differential pressure transmitter are collected, so that accurate evaluation of the micro flow regulating valve is achieved.

The application relates to the technical field of semiconductor detection, and provides a semiconductor wafer film thickness detection method, device and system. The method comprises the following steps: in a transmitting light path, an incident light beam is transmitted to a wafer surface in a semiconductor reaction cavity; in a main receiving light path, a main channel signal reflected by the wafer surface is acquired, the main receiving light path and the transmitting light path form a confocal relationship at the wafer surface; the light signal in the main receiving light path is subjected to spatial filtering processing, the reflected light from the wafer surface is selectively passed, and the out-of-focus light scattered by aerosol in the semiconductor reaction cavity or from a liquid bead on an observation window is blocked; N auxiliary detection light paths are used to acquire corresponding N auxiliary channel signals; the relative intensity ratios of the channel signals are calculated, the optical characteristics of different interference sources are identified, the interference background is separated, and the film thickness of the wafer surface is calculated. The application is used for realizing in-situ real-time film thickness detection in a high-interference process environment such as Mist CVD.

This invention discloses a method for accurate heart rate calculation based on multi-source multimodal fusion, relating to the fields of biosignal processing and health monitoring technology. The method includes: simultaneously acquiring multi-source array data such as biosignals, environmental information, and motion status, and constructing a time-aligned dataset; preprocessing and extracting features from the data to obtain multi-dimensional features such as pulse peak interval, R-wave interval, environmental interference level, and exercise intensity level; identifying the current dynamic scene based on features and adaptively assigning heart rate calculation weights to photoelectric and electrocardiogram signals; calculating two preliminary heart rate values ​​in parallel and performing weighted fusion; combining individual feature calibration and a time-series trend model to perform anomaly judgment and correction on the preliminary heart rate values, and outputting the final heart rate value and confidence score. This method, through multi-source fusion and scene-adaptive weighting, achieves multi-scene adaptive, anti-interference, and personalized accurate heart rate monitoring.

The invention provides an electrical line device mechanical calculation tool and a use method thereof. The electrical line device mechanical calculation tool comprises a data input module, a calculation processing module and a result output module. Wherein the data input module is used for acquiring an initial parameter of a to-be-processed electrical line device, and transmitting the initial parameter to the calculation processing module; the calculation processing module is used for calculating mechanical parameters of the to-be-processed electrical line device based on the initial parameters and transmitting the mechanical parameters to the result output module; and the result output module is used for outputting the mechanical parameters. According to the method, the problems of tedious calculation process, low precision and limited applicability of the existing scheme for manually calculating the mechanics of the electrical circuit device can be solved.

The invention discloses a method for calculating secondary ripple current of a single-phase PWM (Pulse Width Modulation) rectifier, which comprises the following steps of: A, obtaining input voltage us and input current is of the rectifier through sampling, and respectively obtaining orthogonal components us alpha and us beta of the voltage and orthogonal components is alpha and is beta of the current through orthogonal transformation or delay of a quarter period; respectively calculating a voltage amplitude Us and a current amplitude Is; the included angle between the input voltage and the current is phi, namely a power factor angle; b, the active power P and the reactive power Q of the input power of the rectifier are calculated, and then the power factor angle phi of the grid-side current and the voltage is calculated; obtaining the angular velocity omega of the input voltage by using a phase-locked loop; c, according to the inductance value L, the voltage amplitude Us, the current amplitude Is, the power factor angle phi and the angular velocity omega of the PWM rectifier, the alternating current side secondary pulsation power Pshc of the rectifier is calculated; and D, calculating the secondary ripple current of the DC side of the PWM rectifier in real time by using the PWM DC side given voltage Vdcref and the AC side secondary pulse power Pshc. The method is different from a method for obtaining the reference value of the secondary ripple current on the DC side of the PWM rectifier by adopting current sampling and filtering and the like, and the reference value of the secondary ripple current is directly calculated by directly utilizing the existing parameters of the PWM rectifier; and the precision of the secondary ripple current reference value is further improved on the basis of eliminating a current sensor and a circuit thereof.

A kind of power equipment image processing method based on optical fiber bundle imaging, storage medium and system, method is: signal output by infrared fiber bundle is collected by infrared camera pixel matrix, unit in matrix is divided into effective unit and invalid unit, and generate unit division binary matrix data file;Again processing obtains temperature correction matrix data file, temperature segmented point corresponding response value matrix data file, and establish the correction value of response value matrix under different radiation scene;Through numerical fitting and interpolation compensation method, the video stream of optical fiber bundle transmission image is carried out real-time restoration and optimization, completes the inversion from thermal map to temperature field distribution;The present application also includes the storage medium and system of storing the power equipment image processing method based on optical fiber bundle imaging of running this, the present application carries out real-time restoration and optimization to the video stream of optical fiber bundle transmission image by numerical fitting and interpolation compensation method, completes the inversion from thermal map to temperature field distribution.

This application provides a method and apparatus for simulating the performance degradation of an integrated circuit power supply. The method includes: obtaining a spatial state equation for the output voltage of the integrated circuit power supply system based on an equivalent circuit model of the integrated circuit power supply; acquiring performance degradation models of multiple components with degradation characteristics in the integrated circuit power supply system, and importing the performance degradation models of the multiple components with degradation characteristics into the spatial state equation to obtain a spatial state model; using the spatial state model to obtain performance degradation array data of the integrated circuit power supply corresponding to each number of runs; and concatenating the performance degradation array data of the integrated circuit power supply corresponding to each number of runs to obtain performance degradation time sequence data of the integrated circuit power supply.

A satellite power supply energy balance point calculation method belongs to the technical field of satellite power supply method optimization, and comprises the following steps: S1: inputting satellite working parameters and power supply energy balance requirement data at a PC end; S2: constructing a power supply energy balance calculation model; and S3: generating a storage battery and solar cell panel configuration list meeting the satellite power supply energy balance requirement. Under the joint action of the related steps, the present application adopts integral calculation and cyclic calculation to replace the simple mathematical operation of the prior art, and introduces a satellite running time storage battery real-time voltage data model to replace the single storage battery voltage data calculation of the prior art, thereby improving the calculation efficiency and accuracy of the power supply energy balance, outputting the solar cell panel and storage battery configuration meeting the power supply energy balance requirement instead of a single configuration, providing multiple solar cell panel and storage battery matching selection for subsequent design and production, and avoiding overdesign.

The application discloses a voltage stability margin calculation method considering a control mode of a photovoltaic power station, and adds modeling consideration of a reactive power-voltage control mode of the photovoltaic power station in voltage stability margin calculation. In a continuous power flow calculation process, parameterized power flow equations are obtained by extending node voltage with the fastest voltage drop. Meanwhile, in a prediction link in the continuous power flow calculation process, a hybrid prediction method is adopted. In the case that voltage margin is large, nonlinear prediction is adopted to accelerate the calculation speed. In the case that voltage stability limit is approached, linear prediction is adopted. The voltage stability margin calculation method fully considers the influence of the control mode of the large-scale photovoltaic power station on voltage stability, and improves the calculation efficiency and the calculation precision.

The present application relates to the offshore wind power engineering field, disclose a kind of considering time-space effect's wind power pile foundation scour duration prediction method, comprising: obtaining target sea area environmental parameter and pile foundation basic parameter, calculate hydrodynamics parameter and limit equilibrium scour depth;According to the law of conservation of sediment volume and space net flux, a time-space evolution model is established;Using historical scour measured data to calibrate the undetermined coefficient in the model;Based on the calibrated model, the characteristic time scale is calculated, and the duration prediction chart of the continuous change of scour depth with time is output;The final scour depth at the end of service is compared with the safety depth threshold determined according to the stress state, and the early warning is output.The present application establishes an evolution model by combining the physical mechanism of sediment and calibrates the parameters using in-situ measured data, which improves the rigor and accuracy of the prediction, and also relates to the actual anti-overturning index of pile foundation, providing quantitative engineering basis for the structural safety evaluation and protection design of offshore wind farm.

The application discloses a kind of engine cooling fan assembly strength calculation method based on one-way fluid-solid coupling, comprising: the geometric model of cooling fan assembly is established;Utilize the finite element model of cooling fan assembly and external flow field generated by mesh division software;In structural analysis software, respectively, to cooling fan and fan support plate is endowed with material mechanics characteristics, and boundary condition is set;In computational fluid dynamics software, set the turbulence model and boundary condition of external flow field;Blade surface is set as fluid-solid coupling surface, first solve flow field using computational fluid dynamics software, pass blade surface pressure in calculation result to finite element software by interpolation, and finite element software is used as boundary condition to simulate and analyze the structural strength of cooling fan assembly, and obtain cooling fan assembly strength.The application improves the accuracy of the model and ensures the calculation efficiency by taking the aerodynamic pressure load on the blade as the boundary condition when predicting the structural strength of the cooling fan.

The application provides a portable video nystagmus detection eyepiece, and relates to the technical field of medical equipment. The portable video nystagmus detection eyepiece comprises a mirror body, an image acquisition assembly and an analysis assembly. The mirror body comprises a mirror frame and a headband, and the headband is connected with the mirror frame to form a ring shape. The image acquisition assembly comprises an eyeball camera and a calibration camera, both of which are arranged on one side of the mirror frame close to the headband. The eyeball camera can acquire a motion video of a to-be-measured eyeball, and the calibration camera can shoot a calibration image containing the eyeball camera and the to-be-measured eyeball. The analysis assembly comprises a control board and a display electrically connected with the control board. The control board and the display are both arranged on the mirror frame. The control board can receive the motion video and the calibration image. The control board can first analyze the calibration image to obtain the distance between the eyeball camera and the to-be-measured eyeball, and then analyze the motion video combined with the distance and send the analysis result to the display. The application can accurately measure the actual distance between the eyeball and the camera, and has the effect of high precision.

The application discloses a dark underwater image processing method based on color space conversion, which comprises the following steps: firstly, pre-acquired underwater images are down-sampled to reduce the image size and copied into two images; secondly, color space conversion is performed on the two parts of underwater images respectively; thirdly, an underwater optical imaging image model is established, and the first converted underwater image is processed by using an image deblurring algorithm to obtain a clear image with high contrast; fourthly, an improved white balance algorithm is used to process the deblurred image; fifthly, a nonlinear channel prior is introduced into a traditional image deblurring model to minimize the item to eliminate the motion blur problem caused by water flow fluctuation; sixthly, the obtained accurate blur kernel and potential clear image are iterated with the initial restored image to obtain a final restored image; and finally, the two images are fused, re-sampled and outputted to obtain a final clear underwater image. The application can better realize image restoration, improve the brightness and contrast of the image and improve the recognition degree.

This application provides a point cloud processing method, electronic device, and vehicle. The method includes: acquiring a target point cloud from a target raster, where the target raster is any one of multiple rasterized rasterized initial point cloud cells; determining a raster feature matrix of the target raster based on the target point cloud, the raster feature matrix including basic features and auxiliary features of the target point cloud within the target raster, the basic features including at least the median height, interquartile range (IQM), gradient of the fitting plane normal vector, and terrain surface fitting residual of the target point cloud within the target raster, and the auxiliary features including at least the standard deviation of the height and the point cloud density of the target point cloud within the target raster; determining a ground raster from the multiple raster cells based on the basic and auxiliary features; and determining a ground point cloud based on the ground raster. This application embodiment can achieve high-precision and high-efficiency ground point cloud extraction in complex scenes.

This invention provides a deep learning-based intelligent analysis method for cardiovascular medical images, comprising the following steps: S1, heterogeneous data fusion and acquisition of multimodal medical images and physiological signals; S2, intelligent extraction and quantitative analysis of vascular structural features based on deep learning; S3, hemodynamic parameter modeling and risk region segmentation based on fused structural features; S4, texture feature mining and intelligent identification of lesion types in high-risk areas; S5, cardiovascular disease risk stratification prediction based on multi-dimensional feature fusion; S6, federated learning optimization and closed-loop update of the model. This invention's deep learning-based intelligent analysis method for cardiovascular medical images achieves, for the first time, heterogeneous fusion of medical images, millimeter-wave radar-PPG physiological signals, and clinical molecular data, and achieves precise spatiotemporal alignment through GPS-controlled crystal oscillators, overcoming the limitations of single image analysis and providing a more comprehensive feature foundation for subsequent feature extraction and risk prediction.

The present application relates to a kind of vehicle carbon emission calculation method based on sparse trajectory data reconstruction, which uses the trajectory data of light fuel vehicle driving on ordinary urban road, analyzes the acceleration distribution characteristics of trajectory segment under different sampling frequency, reconstructs sparse trajectory data second by second according to the acceleration distribution characteristics, and then calculates the emission based on the reconstructed trajectory data through carbon emission estimation model.Compared with prior art, the present application avoids the problem that sparse trajectory data is difficult to input into emission estimation model, and overcomes the problem that existing sparse trajectory interpolation reconstruction method will seriously underestimate emission when applied to carbon emission estimation.The present application is suitable for trajectory data of various sampling frequencies, and reconstructs trajectory second by second based on acceleration distribution interpolation as the core, which can effectively improve the accuracy of carbon emission calculation, provides a new perspective for vehicle carbon emission calculation based on sparse trajectory, and has good innovation.

The application discloses a kind of based on thrust variation characteristics military aircraft take-off performance calculation method, comprising: step S1, calculate atmospheric environmental parameter;Step S2, obtains lift coefficient by interpolation method, it is convenient to determine the ground speed of aircraft;Step S3, based on the physical characteristics of aircraft determines the nose wheel speed of aircraft;Step S4, based on fly parameter data and aeroengine adaptive calculation model determines the thrust F of engine;Step S5, obtains lift coefficient and drag coefficient by stalling angle of attack interpolation, it is convenient to calculate the taxiing distance L of aircraft three-wheel taxiing stage 11 And taxiing time T 11 ;Step S6, based on the dynamic variation characteristics of angle of attack calculates the taxiing distance L of aircraft two-wheel taxiing stage 12 And taxiing time T 12 ;Step S7, based on the taxiing distance L of aircraft three-wheel taxiing stage 11 And time T 11 , the taxiing distance L of two-wheel taxiing stage 12 And taxiing time T 12 Determine total taxiing distance and total taxiing time.

The application discloses a kind of flat wire winding permanent magnet synchronous motor hybrid thermal network modeling method, belong to the temperature field analysis design technical field of permanent magnet synchronous motor.Utilize two-dimensional finite element analysis software FEMM to calculate the detailed temperature distribution in the radial direction of motor, again in combination with thermal resistance network method to winding end space area and motor axial heat dissipation are modeled, on the basis of guaranteeing calculation precision, reduce model calculation time.The application has the advantages of high calculation precision, high calculation efficiency, compared with three-dimensional transient field finite element analysis, the model has faster calculation speed.On the other hand, compared with the traditional lumped parameter network model, the model can show more abundant permanent magnet motor temperature field results.

The invention relates to the technical field of computer-aided building design, and provides a CFD simulation-based power distribution room ventilation and heat dissipation design optimization method and system, and the method comprises the steps: inputting parameters, and carrying out the coupled oscillation calculation to obtain a parameter cooperation state; driving the geometric construction program to generate a three-dimensional model of the power distribution room; importing the three-dimensional model of the power distribution room into a calculation fluid domain, defining a boundary and an initial temperature field of the calculation fluid domain by the three-dimensional model of the power distribution room, and performing temperature gradient triggering program reconstruction processing to obtain a self-adaptive grid structure matched with the flow field and the temperature field; mapping data of the flow field and the temperature field into an ecological niche space, taking a heat dissipation effect and energy consumption as resource dimensions, and calculating ecological niche overlapping degrees of different design schemes; and a ventilation design scheme set with balanced heat dissipation effect and energy consumption is formed. The system comprises a parameterized model construction module, a temperature automatic iteration module and a multi-target screening module. According to the invention, automatic optimization and multi-objective decision support of ventilation and heat dissipation design of the power distribution room are realized.