38 results about "Atmospheric layer" patented technology

The invention discloses a deep learning inversion method and system based on physical constraint reflectivity, and an electronic device. The method comprises the following steps: constructing a deep neural network model; hyperspectral remote sensing sample data are input into the deep neural network model, and the transmittance product combination parameter sub-model, the atmospheric intrinsic reflectivity sub-model and the atmospheric hemisphere albedo sub-model are respectively subjected to model training by utilizing the hyperspectral remote sensing sample data; carrying out model training on the physical inversion model through a physical constraint formula; and S3, acquiring hyperspectral remote sensing data of the research area, inputting the hyperspectral remote sensing data into the deep neural network model, and predicting and outputting the atmospheric roof reflectivity. According to the method, the parameter model is innovatively constructed, the transmittance product combination parameter, the atmospheric intrinsic reflectivity and the atmospheric hemisphere albedo are respectively predicted by means of the parameter model, and the output atmospheric top reflectivity is efficiently and rapidly predicted based on the constructed physical radiation transfer equation by means of the three parameters. The method has the advantages of high prediction efficiency and high precision.

The invention provides an automobile skylight full-shading roller shutter composite fabric with a nine-functional-layer structure, and relates to the technical field of automobile textiles. The nine-functional-layer structure sequentially comprises a graphene far infrared emission yarn layer, a connection yarn layer, a rare earth far infrared absorption heating yarn layer, a first PUR connection point layer, a first aluminized heat reflection layer, a film layer, a second aluminized heat reflection layer, a second PUR connection point layer and an interior fabric layer from top to bottom. The woven fabric with the radiation cooling function and the composite fabric of the nine functional layers of the woven fabric have the capability of reversely emitting sunlight heat penetrating through skylight glass on the top of an automobile to the atmosphere outside the automobile and even the outer space through the skylight glass through absorption reflection and infrared radiation; and the aluminum-plated layer on the lower layer of the film can reduce the cold loss of a passenger compartment. The functions of cooling, heat insulation, cold insulation, shading, beautification and decoration of the nine-layer composite skylight roller shutter fabric for the vehicle are achieved through the effects of absorption, reflection and anti-radiation of infrared rays.

The invention comprises an apparatus, method for using the apparatus and system for balloon altitude control by in-situ characterization and active energy management. The invention presented enables transportation, autonomous operation and use of a balloon beyond the limits of conventional high-altitude ballooning to the edge of the atmosphere, or about 100 km above the surface of the Earth. The apparatus comprises at least: an envelope containing lift-gas; an envelope and lift-gas characterizer; an altitude control system operated using active energy addition and lift-gas transfer or ambient air introduction into the system; and an external payload component. The invention is capable of operating in ascent, descent, or stationary mode; the altitudinal movement of the balloon is caused by measuring in-situ envelope and lift-gas characteristics, identifying the change in the lift-gas energy needed, and facilitating the required energy change for altitude control.

The invention provides an atmosphere acquisition control method and system based on multi-source fusion, and belongs to the technical field of atmosphere acquisition, and the method comprises the steps: collecting the atmosphere parameters of a golden star, and forming an observation vector; obtaining an optimal state estimation vector, dynamically weighting each parameter in the optimal state estimation vector, and outputting a credible normalized fusion value; when the fusion value is higher than a preset fusion threshold value, opening a sampling port of the acquisition system to enable the Jinstar atmosphere to enter a cooling tank of the acquisition system; when the temperature is lower than a preset fusion threshold value or it is monitored that the cooling tank is full, a sampling opening is closed; cooling the cooling tank to solidify part of components of the gas sample, and transferring the residual gas to a gas storage tank of a collection system; vaporizing and discharging the solid sample in the cooling tank after the aircraft leaves the atmosphere; repeating the steps until sufficient samples are collected at the current target sampling height; and then executing an acquisition task of the next target sampling height. According to the invention, the success rate of the atmospheric sampling task and the sample effectiveness in the aventurine extreme environment are guaranteed.

The invention discloses a bionic air-space cooperative atmosphere intelligent regulation and control system and method. The system comprises a twin digital earth, an atmospheric brain, an air-space AI mobile base comprising a troposphere special base and a stratosphere special base, a plurality of macroscopic telescopic pipelines, an array composed of macroscopic intelligent sunshade reflectors, and a multifunctional intelligent micro-unit cluster. A regulation and control strategy is generated through multi-source data assimilation and intelligent strategy optimization, physical states such as temperature and humidity of air masses in a pipeline are actively adjusted through an environment control section in a macroscopic telescopic pipeline, and low-energy-consumption, stepped and directional transportation of cloud water substances is achieved by actively utilizing the chimney effect formed by the atmospheric environment; controllable adjustment of solar radiation input is achieved through dynamic management of the intelligent sunshade reflector array. The system has four operation modes which can be evolved according to technical capability stages from macroscopic direct intervention to global intelligent collaboration, and is configured with a module recovery and platform stability anchoring mechanism so as to realize emergency intervention on disastrous weather.

This invention discloses a method for inverting atmospheric N2O column concentration based on thermal infrared satellite remote sensing, belonging to the field of atmospheric environment remote sensing technology. The method includes: acquiring and preprocessing satellite observation data; selecting a specific spectral range as the inversion characteristic spectral region; introducing a fast radiative transfer model to construct a forward simulation operator to simulate the radiance of the top atmospheric layer; selecting N2O-sensitive characteristic bands with high signal-to-noise ratio and low interference based on a channel optimization strategy using the N2O / CO2 Jacobi intensity ratio; constructing an extended state vector, using surface temperature as an unknown parameter and performing joint optimal estimation iterative inversion with the N2O profile to correct the surface temperature in the reanalysis data, thereby achieving high-precision inversion of N2O atmospheric column concentration. This invention transforms surface temperature from a fixed input parameter into a state variable to be inverted, effectively decoupling surface temperature error from the N2O signal, eliminating systematic bias, and significantly improving the inversion accuracy of N2O column concentration.

The application discloses a micro-light target device and an absolute radiation calibration method for a spaceborne micro-light load, and adopts a light source which is industrialized and customized and meets corresponding conditions in terms of spectral energy stability, waveband response, light source emission energy stability, light source emission energy uniformity in each direction and light source power as a calibration light source of the target, so that the problem that the light source in the prior art has great uncertainty due to the influence of lamp temperature and the narrow spectral range cannot meet the full spectral range calibration requirement can be overcome. In addition, the application arranges multiple targets with different openings to form an absolute radiation calibration target array of the spaceborne micro-light load, so that multi-point and full waveband radiation calibration can be realized, and through the combination of the micro-light targets with different openings, the measured target radiance, the atmospheric profile and the aerosol content and other parameters, and the simulation of the entrance pupil radiance of the spaceborne micro-light load at the top of the atmosphere by means of a radiation transmission model, high-precision absolute radiation calibration of the spaceborne micro-light load with different spatial resolutions can be realized.

The utility model discloses a kind of dry gas seals for superhigh pressure gas injection centrifugal compressor, it is related to dry gas seal structure field, and it includes: shaft sleeve, primary sealing mechanism, it is sleeved in the outside of shaft sleeve, primary sealing mechanism has primary seal leakage port in communication with atmosphere side, secondary sealing mechanism, block process medium that leaks from primary sealing mechanism but is not discharged from primary seal leakage port to atmosphere layer;Primary sealing mechanism includes first dynamic ring and first static ring, secondary sealing mechanism includes second dynamic ring and second static ring, first dynamic ring and second dynamic ring are made of silicon nitride, first static ring and second static ring are made of silicon carbide, diamond coating is coated on the sealing end face of first static ring.The utility model is by being arranged as silicon nitride material to dynamic ring, it is arranged as silicon carbide material to static ring, and diamond coating is coated on the sealing end face of static ring, to reach the purpose that process medium enters atmosphere when gas injection pressure reaches 45Mpa, is blocked.

The invention belongs to the technical field of marine weather forecast, and particularly relates to an atmosphere structure stability correction method, system and device and a medium, and the method comprises the steps: analyzing the incidence relation between the atmosphere structure stability and the wind wave growth rate, and determining a core evaluation parameter; collecting a plurality of marine meteorological observation data, and preprocessing the plurality of marine meteorological observation data to construct a standardized training data set; constructing a wind wave growth rate initial correction model based on physical constraints; integrating the initial correction model into a wind energy input source item of a sea wave numerical mode so as to correct the stability of the atmosphere structure in real time and obtain correction stability; verifying the correction effect through long-term numerical simulation, and performing model performance verification on the initial correction model by adopting multi-index statistical evaluation to obtain a model verification result; and performing parameter sensitivity analysis and optimization on the initial correction model based on a model verification result to obtain an optimized correction model. According to the invention, the accuracy of wave numerical forecasting is improved.

The present application relates to a method for reducing the global greenhouse effect, in which a gas that is inactive for long-wave radiation is introduced into the Earth's atmosphere, preferably the troposphere, whereby the total volume of the Earth's atmosphere is increased. According to the invention, in order to provide an alternative method for reducing the global greenhouse effect, it is provided that a mass of the climate-damaging gases contained in the Earth's atmosphere remains constant, so that the increase in the total volume causes a relative reduction in the content of climate-damaging gases contained in the Earth's atmosphere, based on the total volume of the Earth's atmosphere.

The invention provides a universal satellite remote sensing atmospheric roof radiation simulation method, which belongs to the technical field of remote sensing image data processing, and comprises the following steps: (1) calculating latitude and longitude and observation geometric information of a transit area; (2) constructing global environment parameter background field data; (3) respectively performing radiation simulation on the ocean area and the land area in the transit area; (4) respectively calculating the atmospheric top radiance of the ocean area and the atmospheric top radiance of the land area; and (5) splicing the atmospheric top radiance data of the ocean area and the atmospheric top radiance data of the land area to obtain the atmospheric top radiance data of the whole image. According to the universal satellite remote sensing atmosphere top radiation data simulation method, the reliability of a physical model and the modeling capacity of a neural network are combined, the problem that existing satellite remote sensing atmosphere top radiation simulation is low in reliability is solved, and compared with full-data neural network simulation, consumed time is shorter.

The application provides an atmospheric out-of-layer polarized light field continuation model calculation method based on neural network learning, comprising the following steps: S1, collecting spatial polarized light field data and obtaining to-be-calculated data; S2, building a neural network model and adjusting weights and biases; S3, training the neural network model by taking the spatial polarized light field data as training samples, inputting the to-be-calculated data into the trained neural network model, and calculating a predicted polarization azimuth and a predicted degree of polarization through forward propagation; and S4, obtaining a position vector and a first sun vector of a to-be-observed point, calculating a measured polarization azimuth and a measured degree of polarization, and calculating a polarization azimuth error percentage and a degree of polarization error percentage to check the accuracy of the neural network model. The application can improve the high-precision measurement and analysis capability of the atmospheric out-of-layer polarized light field, and provide accurate and reliable data support for a satellite navigation system.

The application discloses a physical constraint reflectivity deep learning inversion method and system and electronic equipment, and the method comprises the following steps: constructing a deep neural network model; inputting hyperspectral remote sensing sample data into the deep neural network model; using the hyperspectral remote sensing sample data to train a transmittance product combination parameter submodel, an atmospheric intrinsic reflectivity submodel and an atmospheric hemisphere albedo submodel respectively; using a physical inversion model to train the model by a physical constraint formula; and S3, acquiring hyperspectral remote sensing data of a research area, inputting the data into the deep neural network model and predicting and outputting atmospheric layer top reflectivity. The application innovatively constructs a parameter model, uses the parameter model to predict transmittance product combination parameters, atmospheric intrinsic reflectivity and atmospheric hemisphere albedo respectively, realizes efficient and rapid prediction and output of atmospheric layer top reflectivity by using three parameters and based on a constructed physical radiation transmission equation, and has the advantages of high prediction efficiency, high accuracy and the like.

This invention proposes a general method for simulating atmospheric top radiation from satellite remote sensing, belonging to the field of remote sensing image data processing technology. The method includes: (1) calculating the latitude, longitude, and observation geometry of the transit area; (2) constructing global environmental parameter background field data; (3) performing radiation simulations for the ocean and land regions within the transit area; (4) calculating the atmospheric top radiance of the ocean and land regions respectively; and (5) stitching together the atmospheric top radiance data of the ocean and land regions to obtain the atmospheric top radiance data for the entire image. This general method for simulating atmospheric top radiation from satellite remote sensing combines the reliability of physical models with the modeling capabilities of neural networks. It addresses the low reliability of existing satellite remote sensing atmospheric top radiation simulations while also being less time-consuming compared to full-data neural network simulations.

The application provides a precipitation estimation method, system, device and storage medium applied in low-altitude economic services, and the method comprises the following steps: acquiring dual-polarization radar echo data and environmental parameters in a low-altitude atmosphere layer and taking the data and the parameters as inputs of a least mean square algorithm, combining a fuzzy logic control algorithm to dynamically adjust weight coefficients of an adaptive filter, using the adaptive filter with the adjusted weight to suppress noise of the dual-polarization radar echo data, and obtaining filtered radar echo data; extracting key precipitation characteristic parameters from the filtered radar echo data and calculating radar original precipitation estimation values; acquiring observation data of a ground meteorological station and performing fusion processing to generate regional precipitation reference data; using the regional precipitation reference data, determining correction coefficients by using a regularized linear regression method, correcting the radar original precipitation estimation values by using the correction coefficients, and outputting final precipitation estimation values. The application effectively improves the precipitation estimation precision in a low-altitude scene.

The invention discloses a communication channel intelligent prediction method and device under atmospheric disturbance, and relates to the technical field of communication, and the method comprises the steps: obtaining the atmospheric feature data and corresponding height information between a satellite and a ground end, determining the atmospheric disturbance data of the corresponding height based on the atmospheric feature data and the height information, and carrying out the intelligent prediction of a communication channel based on the height information. The method comprises the following steps: generating a prediction scale, fusing the prediction scale with atmospheric disturbance data, generating an atmospheric stratification model, determining a communication channel interval between a satellite and a ground end, determining a corresponding channel interval atmospheric model in the atmospheric stratification model according to the communication channel interval, generating an atmospheric change trend based on the prediction scale and the channel interval atmospheric model, and enabling the communication channel parameters to act on an atmospheric change trend, generating a channel quality change curve, and determining a quality prediction result of the communication channel based on the prediction scale and the channel quality change curve. Through the above mode, the problem of real-time prediction of the communication channel performance in a complex atmospheric environment is solved.

A retrofit window insulation system that achieves a low solar thermal gain coefficient (SHGC) above 0.10 or below. The retrofit window insulation system is an ultra-light, ultra-transparent, low-emissivity polymer window cover in combination with mechanically deployable sunshade screens and / or shutters to provide an alternative sunshade effect, enabling adjustable control of daylight and solar heating. A spectrally selective coating on a louver comprising a phase change material (PCM) for storing daytime heat is particularly effective. Placing a reflective film on the outward facing surface of the shutter not only reflects sunlight, but also emits thermal radiation through the earth's atmosphere back to the cold space. If the shutter is placed between the modified window insulation system and the original window glass, the temperature of the air gap between the window and the modified window insulation system is increased, so that heat energy is stored in the PCM. Along with the weakening of the sunlight at nightfall, the heat energy stored in the PCM can be transferred into the building.

A plasma generating device for producing artificial auroras includes a plasma generating apparatus and an artificial auroras generating platform. The plasma generating apparatus includes a solenoid coil, an inner metal cylindrical electrode, an outer metal cylindrical electrode, a gas injection window, and a single-stage capacitor. After the fuel gas diffuses uniformly between the inner and outer metal cylindrical electrodes, it is ionized and accelerated by the single-stage capacitor, forming a dense, compact ring plasma. The artificial auroras generating platform includes a vacuum glass chamber, an inlet valve, a second solenoid coil, a vacuum pump assembly, and a high-speed camera. The compact ring plasma collides with the injected neutral gas inside the vacuum glass chamber, forming strip-shaped auroral bands visible to the naked eye under the influence of the second solenoid coil. In this invention, the compact ring plasma replaces high-energy charged particles, the neutral gas simulates the Earth's atmosphere, and the magnetic field generated by the second solenoid coil simulates the Earth's magnetic field environment and captures the compact ring plasma.

The invention discloses an elevated point source emission area carbon dioxide dry air column concentration simulation method and application, and the method comprises the steps: S1, simulating the continuous emission and three-dimensional diffusion process of elevated point source carbon dioxide, and obtaining the mass concentration of carbon dioxide at any spatial position; s2, converting to obtain the volume concentration of carbon dioxide; s3, dividing the continuous atmosphere into a plurality of rough atmosphere layers; s4, dividing the rough atmospheric layer near the ground into a plurality of subdivided atmospheric layers; s5, performing carbon dioxide dry air column segmentation on the elevated point source emission area, and constructing a carbon dioxide dry air column concentration weighted calculation model to simulate and obtain the carbon dioxide dry air column concentration at any spatial position in the downwind direction of the emission area; according to the method, accurate simulation of carbon dioxide dry air column concentration in a designated area and data matching with a remote sensing image are realized based on the actual emission condition of an elevated point source, the calculation precision is basically consistent with that of a recognized highest-precision carbon satellite, and the method can be effectively used for carbon satellite calibration and carbon dioxide data acquisition.

The invention discloses an infrared spectrum radiance deduction method and device, equipment, a medium and a product, and relates to the field of spectrum radiance modeling, and the method comprises the steps: building a simplified atmospheric radiation transmission model based on n layers of equivalent atmospheric layers; the n equivalent atmosphere layers are obtained by simplifying a non-uniform atmosphere path from an earth limb observation tangent point to the top of the atmosphere layer; performing optimization solution on the target function according to the inversion infrared light band reference spectrum radiance to obtain equivalent path length and equivalent temperature of each equivalent atmospheric layer corresponding to the inversion infrared light band; and inputting the target infrared light wave band and the equivalent path length and the equivalent temperature of each equivalent atmospheric layer corresponding to the inversion infrared light wave band into the simplified atmospheric radiation transmission model to obtain the inversion spectral radiance of the target infrared light wave band. The radiance of the target infrared light band can be deduced based on the radiance of the inversion infrared light band.

The invention relates to a multi-source data fusion rainfall prediction method and device based on Beidou B2B signals and computer equipment. The method comprises the following steps: in response to a rainfall prediction request for a target observation area, performing time synchronization operation on each observation device of the multi-source observation system; acquiring a satellite signal received by the Beidou signal receiving equipment, resolving zenith total delay generated when the satellite signal passes through the atmosphere, and converting the zenith total delay into atmospheric precipitable water; inputting the atmospheric precipitable water amount, the radar rain rate of the weather radar, the satellite observation of the meteorological satellite and the ground observation of the ground sensor network as observation vectors into a preset humidity analysis model to obtain a three-dimensional humidity analysis field; and obtaining multi-source historical observation data, and inputting the three-dimensional humidity analysis field and the multi-source historical observation data into a pre-trained rainfall rate field prediction model to obtain a rainfall rate field prediction result in a preset time period. By adopting the method, the rainfall prediction precision can be improved.

The invention relates to a Fraunhofer spectral line benchmark-based generation and calibration method and system and a medium, and the method comprises the steps: measuring direct solar radiation spectrums at different solar zenith angles through a foundation spectrum instrument, and calculating the atmosphere quality of each spectrum measurement moment in each direct solar radiation spectrum; calculating solar spectral irradiance at the top of the earth atmosphere; selecting a non-absorption wave band which is not interfered by the atmosphere according to the atmosphere transmittance; and searching a Fraunhofer line in a non-absorption wave band, and carrying out spectrum calibration on a foundation spectrum instrument. According to the invention, the calibration does not need a laboratory standard lamp, and the problems of standard lamp attenuation and transmission errors are avoided; according to the method, areas which are not affected by the atmosphere in the spectrum can be distinguished and utilized, the method is not affected by the atmosphere, the method has good precision and long-term stability, the Fraunhofer line area AM0 spectrum extrapolation precision is improved, and the foundation spectrum instrument is calibrated by using the stable Fraunhofer line.

The invention relates to the technical field of photovoltaic prediction, and discloses a satellite earth surface solar radiation product correction method, system and device suitable for a cloudy region and a medium, and the method comprises the steps: obtaining data of a meteorological bureau, and carrying out the preprocessing of the data to obtain an earth surface solar radiation detection data set; time matching is carried out on satellite product data and an earth surface solar radiation inspection data set, cloud optical thickness data are inverted based on matched satellite atmospheric layer top apparent reflectivity data, a clear sky is identified, aerosol inversion is carried out, and aerosol optical thickness data are obtained; different cloud cover and aerosol condition intervals are set, satellite data in the corresponding intervals are evaluated through statistical indexes, and data correction is carried out in different modes based on the data relation obtained through evaluation. According to the invention, subtle changes of local earth surface solar radiation caused by changes of weather conditions such as cloud cover and aerosol in a short time can be effectively captured, the accuracy and reliability of data are greatly improved, and automatic optimization and correction of parameters are realized.

By correcting for the effects of atmospheric aerosols and thin clouds in the observed spectra obtained from photographs of the Earth's surface taken from outside the atmosphere, the Earth's surface reflectance is estimated with high accuracy. [Solution] An atmospheric correction parameter estimation system 1 comprises: an observation spectrum acquisition unit 11 that acquires an observation spectrum by photographing the ground surface from outside the atmospheric layer; an atmospheric layer parameter candidate generation unit 14 that generates multiple candidate values ​​for ground surface parameters, which are variables representing the state of the ground surface, and multiple candidate values ​​for atmospheric layer parameters, which are variables representing the state of the atmospheric layer; a BOA reflectance calculation unit 13 that calculates the BOA reflectance from the candidate values ​​of the ground surface parameters; a TOA reflectance calculation unit 15 that calculates the TOA reflectance from the BOA reflectance and the candidate values ​​of the atmospheric layer parameters; and an atmospheric correction parameter estimation unit 16 that estimates the atmospheric layer parameter with the greatest degree of agreement as an atmospheric correction parameter based on the degree of agreement between the TOA reflectance calculated from multiple candidate values ​​of the ground surface parameters and atmospheric layer parameters and the observation spectrum.

The present application belongs to the technical field of equipment calibration inversion, and particularly relates to a solar diffuse reflection plate correction atmospheric layer outside target infrared radiation measurement method, which is realized based on an infrared radiation measurement device, and the method comprises the following steps: step 1), a diffuse reflection plate is arranged in front of a lens of the infrared radiation measurement device; step 2), the input response gray scale D nR and the sky background response gray scale D sc of an air target are measured by using the infrared radiation measurement device; step 3), the diffuse reflection plate is adjusted to two different positions, and corresponding response gray scales D b1 and D b2 are obtained by using the infrared radiation measurement device; and step 4), the atmospheric layer outside target infrared radiation measurement result is obtained by combining the atmospheric transmittances of the sun path and the target path obtained by an atmospheric correction subsystem.

The application relates to the technical field of meteorological services, and discloses a system for predicting migration of atmospheric pollutants under influence of meteorological parameter gain in complex terrain, which comprises the following modules: a terrain topography analysis module that extracts spatial features of a target region and constructs a terrain topography feature matrix; a meteorological background preprocessing module that extracts a potential temperature gradient and a vertical wind shear parameter; an atmospheric layer evaluation module that determines a local Richardson number according to the parameters; a terrain gain correction module that corrects matrix weights according to the local Richardson number and outputs a terrain dynamic correction coefficient; a microscale field reconstruction module that couples the coefficient with background field data to generate a microscale meteorological field; and a diffusion trend prediction module that outputs a migration trajectory of atmospheric pollutants. The application can correct terrain dynamic gain weights in real time through identification of a feedback mechanism of stability of a layer and a forcing action of terrain, eliminate physical distortion in the process of reconstruction of a microscale flow field, and improve physical fitting degree of prediction of pollutant diffusion in a complex terrain region.

We provide a retrofit window insulation system that achieves an extremely low solar heat gain coefficient (SHGC) of 0.10 or less. [Solution] The retrofit window insulation system of the present invention is an ultralight, ultratransparent low-e polymer window cover (e.g., a Mackinac WEMS unit) combined with a mechanically deployable solar screen and / or louvers to provide optional shading for adjustable control of daylight illumination and solar heating. A spectrally selective coating on the louvers containing a phase change material (PCM) for storing daytime heat is particularly efficient. Placing a reflective film on the outward-facing surface of the louvers reflects sunlight while simultaneously emitting thermal radiation through the Earth's atmosphere to the cold regions of space. When the louvers are placed between the retrofit window insulation system and the existing window glass, the air gap between the window and the retrofit window insulation system warms up, and thermal energy is stored in the PCM. As sunlight weakens in the evening, the thermal energy stored in the PCM is transferred into the building interior.

The application relates to a spectrum analysis method, device and equipment for a vertical coupling process of a Mars atmosphere, time series data is constructed based on a characteristic variable of a Mars atmospheric layer by acquiring the characteristic variable of the Mars atmospheric layer; a multi-order vector autoregressive model is constructed according to the time series data; a time length is set, the characteristic variable of the Mars atmospheric layer after the set time length is taken as input, zero hypothesis testing is performed on lag influence coefficients in the multi-order vector autoregressive model to test the causal relationship between the characteristic variables; based on the causal relationship between the characteristic variables, a matrix of the lag influence coefficients is subjected to frequency domain relationship conversion to obtain the correlation of the characteristic variables in the frequency domain and calculate PSD values; based on a specific frequency, PDC values of the characteristic variables are acquired; and based on the PSD values and the PDC values, the vertical interaction relationship between the characteristic variables is analyzed by performing asymptotic normal distribution statistics on the PDC values.