56 results about "Martian surface" patented technology

The invention relates to the technical field of mars surface rocks, and particularly discloses a mars surface stone extraction method and system based on a lightweight network, and the method comprises the steps: obtaining a mars surface image shot by a mars patroller, and screening a rock image; making labels based on the rock images, performing image processing on the labels and the rock images to expand the number of the images, and dividing the rock images into a training set, a test set and a verification set; dynamically adjusting the sampling shape and size of a convolution kernel of the training set through adaptive kernel convolution so as to extract rock features in the rock image; separating the rock image from the surrounding environment by using an improved lightweight Transform model; the attention of rocks covered by sand and dust is improved through an enhanced multi-dimensional convolution attention mechanism; and evaluating the lightweight Transform model based on the pre-training index, if the evaluation passes, obtaining a final model, and based on the final model, carrying out rock surface extraction on the input Mars rock image.

The invention relates to a hyperspectral image Mars surface mineral identification method and device, equipment and a medium. The method comprises the following steps: acquiring a hyperspectral image for a mineral on the Mars surface; and inputting the hyperspectral image into a pre-trained recognition model, performing layer-by-layer extraction of pixel point features on the hyperspectral image through each layer of classification module in the recognition model, and obtaining a recognition result of the minerals on the surface of the Mars based on the pixel point features obtained through layer-by-layer extraction. Through the method of the invention, high-resolution and high-precision rapid detection can be carried out on Mars minerals through a machine learning technology.

The invention discloses a low-voltage temperature control experiment module for a Mars environment simulation test and an experiment method, relates to the technical field of ground simulation Mars environment equipment, and solves the problem that the comprehensive simulation capability, especially the temperature aspect, of the ground simulation equipment for the Mars environment is insufficient. An upper cover of the experiment cabin is provided with a refrigeration expansion machine, and an inner cavity of the experiment cabin is connected with a vacuum baffle valve; the inner cavity is communicated with the vacuum baffle valve and the inner cavity body, and the refrigeration expansion machine is connected with the inner cavity body; an outer cavity connecting vacuum baffle valve and an outer cavity air inlet channel arranged on the outer cavity are communicated with the outer cavity, and an inner cavity air inlet channel on the outer cavity is communicated with the inner cavity; a condenser and a heater are arranged on the inner cavity, a copper cold screen is arranged in the inner cavity, and the refrigeration expansion machine, the condenser and the copper cold screen are sequentially connected. The Mars environment ground simulation experiment device can fully simulate the surface temperature, gas environment and pressure environment of Mars, overcomes the defects of the Mars environment ground simulation experiment device, and provides equipment support for the fields of aerospace, Mars detection and the like.

The invention relates to a Mars mineral identification method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a Mars surface image in a preset wavelength range; acquiring a plurality of mineral pattern spots of the Mars surface image in a pixel-by-pixel manner; extracting deep spatial spectral features of different mineral pattern spots through a pre-trained multi-scale adaptive convolutional neural network; and classifying minerals contained in the Mars surface image according to the deep spatial spectral features of all mineral pattern spots to obtain a classification result. According to the method, the Mars surface image is obtained by combining near-infrared hyperspectral imaging, deep spatial spectral features of different mineral pattern spots are extracted based on the pre-trained multi-scale adaptive convolutional neural network, and rapid, lossless and accurate identification of Mars minerals can be realized.

The invention relates to a Mars mineral spectrum identification method and device based on deep learning. According to the Mars mineral spectrum recognition method based on deep learning, through four-dimensional constraints of standard deviation, spectral length, absorption depth and overall reflectivity, a background spectrum in an image is adaptively recognized, a ratio spectrum is calculated by taking a dynamic background spectrum as a reference, and interference of non-target factors such as atmospheric scattering and instrument noise can be effectively eliminated. The end member spectrum is directly extracted from the hyperspectral image, and the second ratio spectrum is combined with the preset standard spectrum library to construct the mixed spectrum library containing the Mars specific minerals, so that the data insufficiency of the preset standard spectrum library is made up, and the problem of poor regional adaptability caused by directly adopting the preset standard spectrum library is also avoided; that is, direct use of the earth spectrum library may not accurately reflect the Mars surface features, so that the adaptability of the model to the Mars surface is improved, and it is ensured that the model has higher recognition accuracy in a specific environment of Mars.

The invention relates to the technical field of deep space exploration visual three-dimensional terrain reconstruction error analysis, in particular to a visual three-dimensional terrain reconstruction error modeling method and system for a Mars patroller. In view of the limitation of the Mars surface environment and the existing error analysis method, the purpose of improving the three-dimensional reconstruction precision is achieved. Technically, the method comprises the following steps: sparsely reconstructing a covariance propagation model based on bundle adjustment, processing a camera imaging equation, carrying out re-projection error calculation and optimization, carrying out nonlinear least square algorithm iterative solution and the like to obtain a camera attitude, a three-dimensional point position parameter and a covariance matrix of the three-dimensional point position parameter; densely reconstructing a covariance propagation model based on linear triangularization, and calculating a three-dimensional point coordinate covariance matrix through equation conversion, least square solution and covariance propagation formula derivation. The experiment simulates the Mars environment to obtain simulation data for dense reconstruction error analysis, and the result shows that the method can effectively analyze errors, significantly improve the three-dimensional terrain reconstruction precision, and powerfully guarantee Mars detection and navigation tasks.

The invention provides a Mars surface mineral characteristic wave band screening method which comprises the following steps: acquiring a Mars mineral standard hyperspectral data set, dividing the standard hyperspectral data set into a training hyperspectral data set and a testing hyperspectral data set according to a preset division proportion, and respectively carrying out data preprocessing; and constructing a waveband screening supervised learning network model, performing iterative training according to the preprocessed training hyperspectral data set to obtain an optimized waveband screening supervised learning network model, and determining a waveband screening result. And carrying out wave band screening on the preprocessed test hyperspectral data set according to a wave band screening result, and determining test classification accuracy. And under the condition that the test accuracy meets a preset accuracy condition, performing band screening on the to-be-screened hyperspectral data set of the Mars minerals according to the optimized band screening supervised learning network model to obtain a target screening data set. In this way, the Mars surface mineral characteristic wave bands can be accurately screened, and therefore the accuracy of Mars surface mineral recognition and classification is improved.

The invention relates to the technical field of planet remote sensing data processing and three-dimensional reconstruction, and discloses a Mars three-dimensional terrain reconstruction method based on feature enhancement and multi-view stereo matching, which comprises the following steps: firstly, obtaining and preprocessing Mars stereo image data; secondly, extracting texture features based on a gray-level co-occurrence matrix, and performing region segmentation by using local entropy to distinguish a high texture region from a low texture region; then, parameters such as the size of a matching block and a similarity threshold value are adaptively adjusted according to a segmentation result, and a multi-dimensional mixed feature descriptor is generated to perform homonymy point matching; a coupling threshold model of the solar incident angle and the terrain roughness is constructed, and parallax calculation of the shadow and the steep terrain is optimized; and finally, combining cross-scale parallax propagation and global bundle adjustment to reconstruct a three-dimensional terrain model. According to the method, the technical problems that the matching reliability of areas such as weak textures and shadows on the surface of Mars is insufficient and the model is discontinuous are solved, and the integrity, the self-adaptability and the global precision of the reconstruction model are improved.

The present invention discloses a low-pressure temperature control experimental cabin for Mars environment simulation test and an experimental method, which relates to the technical field of ground simulation equipment for Mars environment and solves the problem of insufficient comprehensive simulation ability of ground simulation equipment for Mars environment, especially in terms of temperature. The experimental cabin of the present invention has an inner and outer double-layer cavity. The upper cover of the experimental cabin is provided with a refrigeration expander and a vacuum baffle valve connected to the inner cavity; the vacuum baffle valve connected to the inner cavity is communicated with the inner cavity body, and the refrigeration expander is connected to the inner cavity body; an outer cavity connection vacuum baffle valve and an outer cavity air intake channel provided on the outer cavity are communicated with the outer cavity, and an inner cavity air intake channel on the outer cavity is communicated with the inner cavity body; a condenser and a heater are provided on the inner cavity body, and a copper cold screen is arranged inside. The refrigeration expander, the condenser and the copper cold screen are connected in sequence. The present invention can fully simulate the surface temperature, gas environment and pressure environment of Mars, make up for the deficiencies of ground simulation experimental devices for Mars environment, and provide equipment support for fields such as aerospace and Mars exploration.

The present invention relates to a method and device for identifying Martian mineral spectra based on deep learning. The Martian mineral spectra identification method based on deep learning uses four-dimensional constraints, namely, standard deviation, spectrum length, absorption depth, and overall reflectivity, to adaptively identify background spectra in images, and calculate ratio spectra based on dynamic background spectra, effectively eliminating interference from non-target factors such as atmospheric scattering and instrument noise. By directly extracting endmember spectra from hyperspectral images and combining the second ratio spectrum with a preset standard spectrum library, a mixed spectrum library containing Martian-specific minerals is constructed, thereby making up for the lack of data in the preset standard spectrum library and avoiding the problem of poor regional adaptability of directly using the preset standard spectrum library, that is, directly using the Earth spectrum library may not accurately reflect the surface characteristics of Mars, thereby improving the adaptability of the model to the Martian surface and ensuring that the model has higher recognition accuracy in the specific environment of Mars.

The application provides a device and a method for in-situ preparation of methane propellant applied to a Mars surface. The device for in-situ preparation of methane propellant comprises a gas distribution system, a reaction gas pretreatment system, a Sabatier reaction system and a product collection system. The gas distribution system is used for conveying carbon dioxide and hydrogen gas prepared on the Mars surface to the reaction gas pretreatment system after pretreatment; the reaction gas pretreatment system is used for mixing and heating the carbon dioxide and the hydrogen gas to form preheated mixed reaction gas and conveying the preheated mixed reaction gas to the Sabatier reaction system; the Sabatier reaction system is used for generating methane and water through a Sabatier reaction of the preheated mixed reaction gas, and the Sabatier reaction system comprises a Sabatier reactor and a circulating air assembly for stabilizing a temperature field in the Sabatier reactor; and the product collection system is used for separating and collecting the methane and the water generated through the Sabatier reaction. The Sabatier reactor is equipped with the circulating air assembly for stabilizing the temperature field in the Sabatier reactor, so that the Sabatier reactor has a stable temperature field and a flow field under different reaction gas flow rates.

The invention discloses a Mars surface flight-oriented ornithopter attitude estimation method, which comprises the following steps: sensor data acquisition: acquiring original data of a Mars ornithopter through a sensor; sensor data filtering processing: carrying out data filtering processing on the original data acquired by the sensor; preprocessing sensor data, performing complementary filtering processing on the filtered data, and taking an obtained attitude quaternion as an estimation reference of an attitude estimation algorithm; attitude estimation: fusing the preprocessed sensor data by adopting an improved self-adaptive gradient descent algorithm to obtain a final attitude estimation result; and attitude description and updating: updating the attitude of the Mars flapping-wing aircraft by adopting a quaternion method, and converting the attitude into attitude angle information as attitude description. Through data preprocessing and an improved gradient descent algorithm, rapid and accurate convergence of attitude estimation is ensured, and the real-time performance of the system is ensured.

The present invention provides a method and system for identifying minerals on the surface of Mars using hyperspectral images, including: constructing a CRISM hyperspectral image data set, dividing the CRISM hyperspectral image data set into a training set and a test set; constructing a multi-branch segmentation network; selecting a loss function, iteratively training the multi-branch segmentation network through the loss function and the training set, and obtaining a trained deep learning model; and identifying minerals on the surface of Mars in CRISM hyperspectral images using the trained deep learning model. The multi-branch segmentation network proposed in the present invention extracts multi-level features of hyperspectral images in a multi-resolution feature map branch parallel manner, and finally aggregates the multi-scale spatial features of four branches, namely, a high spatial sparse spectral feature enhancement branch, a higher spatial near-sparse spectral feature enhancement branch, a lower spatial near-dense spectral feature enhancement branch, and a low spatial dense spectral feature enhancement branch, and classifies the multi-scale spectral features to achieve a better recognition effect.

The application relates to a connecting rod type rope-driven sampler for a Mars spacecraft and belongs to the technical field of space Mars spacecrafts. The sampler solves the problem that a Mars surface sample collecting device cannot be installed at the bottom of a multi-rotor Mars spacecraft, thereby affecting task execution. The sampler comprises a supporting arm mechanism, a wire wheel driving motor, a claw end wire wheel, a claw arm, a motor end wire wheel, a rope, a spring and a wire distribution wheel. One end of the supporting arm mechanism is provided with the motor end wire wheel, the other end of the supporting arm mechanism is provided with the claw end wire wheel, the other end of the supporting arm mechanism is further provided with the wire distribution wheel and the claw arm, one end of the rope is wound on the motor end wire wheel, the other end of the rope is sequentially wound on the claw end wire wheel, the wire distribution wheel and the claw arm, the output end of the wire wheel driving motor is connected with the motor end wire wheel, and the two ends of the spring are respectively connected with the claw arm and the supporting arm mechanism. The sampler has a clever structure, reduces the complexity of controlling the sampler during task execution, is not prone to damage, and provides guarantee for smooth task execution.

The invention provides a Mars surface mineral identification method based on Transform. The Mars surface mineral identification method comprises the following steps: dividing a preprocessed Mars mineral standard hyperspectral data set into a training data set, a verification data set and a test data set; and then, a mineral recognition Transform model is constructed. And training the mineral identification Transform model according to the training data set and the verification data set to obtain an optimized mineral identification Transform model. And according to the test data set, the optimized mineral identification Transform model is tested, and the test classification accuracy is determined. And finally, under the condition that the test accuracy meets a preset accuracy condition, inputting to-be-identified Mars mineral hyperspectral data into the optimized mineral identification Transform model, and outputting to obtain a Mars mineral classification identification result. Therefore, the accuracy of classification and identification of Mars minerals can be effectively improved.

The near space is one of areas, which are most similar to the Mars surface environment, on the earth, and when microorganism exposure and microorganism sampling experiments are carried out in the same near space environment, we can know the response and adaptation mechanism of microorganisms in the Mars-like environment. At present, near space biological sampling and biological exposure experiments are generally and independently implemented, and different flight batches are difficult to ensure that collected microorganisms and microorganisms exposed in the experiments are in a completely consistent near space environment, so that scientific and rigorous conjoint analysis is also difficult to carry out. The invention provides a near space microbe exposure and microbe sampling experiment device and method, which can ensure that microbe sampling and microbe exposure experiments are simultaneously completed in a flight task, and strictly eliminate the influence of a non-near space environment on a sample in the ascending and descending processes. And flexible experiment design of single environment factor / cross environment factor exposure of the near space is realized. According to the invention, scientific research personnel can be helped to strictly control experimental variables, the existence form and survival strategy of life in a Mars-like environment can be accurately clarified and compared, and the method is of great significance to planet protection and Mars life exploration.

The invention discloses a self-correction state forecasting and fusion estimation method for a Mars pneumatic auxiliary orbit descending model, and belongs to the technical field of deep space exploration. The implementation method comprises the following steps: integrating various perturbation of a detector, and establishing a dynamic model suitable for long-term orbit extrapolation; the orbiter observes a natural large landmark on the surface of the Mars by using a navigation camera to obtain azimuth information of the landmark; when the detector is far away from the Mars, azimuth information of the Mars is obtained through the navigation camera; when the distance is closer to the Mars, observing a satellite surface landmark, and acquiring azimuth information of the landmark; the detector and the orbiter measure the relative distance and orientation through radio, and the measurement information obtained through fusion corrects the extrapolation result of the orbit. When the detector is located in the atmosphere, an accelerometer is used for measuring the external force acceleration of the detector, and inertial navigation is achieved. The atmospheric density is corrected by using the dynamic pressure and the heat flux density, and re-recursion is performed on the state of the detector, so that the state estimation precision of the detector in the Mars atmosphere is improved.

This invention provides a method for screening characteristic bands of Martian surface minerals, comprising: acquiring a standard hyperspectral dataset of Martian minerals, dividing it into a training hyperspectral dataset and a test hyperspectral dataset according to a preset division ratio, and performing data preprocessing on each dataset; constructing a band screening supervised learning network model, iteratively training it on the preprocessed training hyperspectral dataset to obtain an optimized band screening supervised learning network model, and determining the band screening results; performing band screening on the preprocessed test hyperspectral dataset based on the band screening results, and determining the test classification accuracy; and, if the test accuracy meets a preset accuracy condition, performing band screening on the Martian mineral hyperspectral dataset to be screened according to the optimized band screening supervised learning network model to obtain the target screening dataset. This method can accurately screen characteristic bands of Martian surface minerals, thereby improving the accuracy of Martian surface mineral identification and classification.

The invention provides a Mars landing section autonomous navigation method and device fusing point and line features. The method comprises the following steps: acquiring measurement information of the surface of Mars; analyzing point features and line features in the measurement information, and constructing a measurement model; constructing a state model according to the measurement information and a dynamical model; establishing an autonomous navigation model by using the measurement model and the state model; and updating the navigation state through extended Kalman filtering according to the autonomous navigation model. The advantages and disadvantages of the point features and the line features in different scenes are analyzed, the fact that the line features have high robustness compared with the point features in the low-texture and complex environment is analyzed, and a nonlinear error with higher precision is introduced to define the measurement error of the line features. A digital simulation result shows that compared with a traditional measurement model which only uses point feature measurement, the method has higher navigation precision.

The invention provides a dimensionality reduction classification method for water-containing minerals on the surface of Mars, and the method comprises the steps: firstly, obtaining Mars hyperspectral remote sensing image data of a target region; then, carrying out data preprocessing, data dimension reduction processing and feature extraction, and determining a plurality of diagnostic spectral feature parameters capable of distinguishing types of hydrous minerals; and determining the similarity corresponding to the plurality of diagnostic spectral characteristic parameters according to the reference spectral characteristic parameters. Furthermore, a plurality of screening spectral characteristic parameters meeting a similarity threshold are determined according to the similarity. And finally, according to the plurality of screening spectral characteristic parameters, determining a target spectral characteristic parameter through an adaptive enhancement algorithm. According to the method, the hyperspectral remote sensing technology and the adaptive enhancement algorithm are combined, and the target spectral characteristic parameters capable of accurately and effectively distinguishing different types of hydrous minerals are determined, so that the to-be-classified Mars hyperspectral remote sensing image data are subjected to hydrous mineral classification, and the accuracy of classifying the hydrous minerals on the surface of the Mars can be improved.

The present application relates to a kind of preparation methods for different characteristic Mars weathered layer simulation object, comprising: obtaining the chemical element information of real Mars weathered layer, selecting the brown red volcanic rock with approximate chemical characteristics as raw material and drying;The dry raw material is pulverized, classified and screened, and a plurality of particle size components are obtained;Design different types of target particle size grading, to simulate the typical mechanical properties of different regions on the surface of Mars, each grading can be used as dry state regolith sample.Add water or salt solution to dry state regolith sample, and form frozen sample by low temperature, to simulate high latitude or shallow ice frozen environment on Mars.In addition, secondary mineral powder can also be added to simulate the surface environment of Mars after acidification or salinization weathering, to realize more complex chemical characteristics demand.The present application is simple in process, suitable for mass production, and the simulation object and Mars weathered layer have good correspondence in chemical composition, physical and mechanical properties, and simulation regolith can be produced to cope with various working conditions.

The invention discloses a Mars rover multi-sensor joint calibration system and an optimization method thereof, and belongs to the technical field of Mars detection. Comprising an image and depth data acquisition unit, an environment point cloud acquisition unit, an attitude measurement unit, a data acquisition and synchronization module, a data fusion processing unit and a calibration auxiliary target. The method comprises the following steps: calibrating internal parameters; calibrating external parameters; data acquisition and time sequence correction; and carrying out data fusion and online self-correction. According to the invention, the time dimension alignment error is reduced, the manufacturing cost is reduced, the method is suitable for extreme temperature, high radiation and low pressure environments of Mars, the problem of parameter attenuation caused by environmental factors such as low temperature and vibration of the Mars is effectively solved, manual intervention is reduced, and the calibration efficiency is improved. The method has long-term stable high-precision sensing capability in a Mars surface dynamic environment, and is suitable for task requirements of autonomous navigation, terrain reconstruction, obstacle detection and the like.

The present application relates to a Mars surface sample collector and method based on differential bevel gears and rope driving, and belongs to the technical field of Mars sampling and returning. It comprises a connecting bracket for installing a driving assembly, the output end of the driving assembly being connected with a differential motion assembly for driving the differential motion assembly, the differential motion assembly driving a rope-driven grabbing assembly to act, and the rope-driven grabbing assembly being used for grabbing and releasing samples. The present application designs a Mars surface sample collector based on differential bevel gears and flexible rope driving, which can realize the actions of sampling point adjustment, jaw clamping and arm recovery fixation under the driving of three motors, reduces the number of driving motors while ensuring the adaptability of the sampling device to the position error of the docking point, simplifies the action of sample collection, improves the reliability of sample collection of the sampling device in the autonomous running state, and reduces the launch mass of the equipment.

The present invention provides a Mars sampling device, which includes an outer cylinder and an inner cylinder. The inner cylinder is coaxially and slidably arranged inside the outer cylinder. An inner and outer cylinder telescopic driving mechanism is provided on the outer cylinder and the inner cylinder. A connecting disk is fixedly connected to the lower end of the inner cylinder. Sampling claws are rotatably connected to the connecting disk to enable the sampling claws to turn up and down. A groove adapted to the sampling claws is provided on the outer wall of the inner cylinder. A torsion spring is provided between the connecting disk and the sampling claws. The torsion spring is used to retract the sampling claws into the groove on the outer wall of the inner cylinder or release the sampling claws from the groove on the outer wall of the inner cylinder. A sampling claw retracting and releasing mechanism is provided inside the inner cylinder. In the Mars mission, the present invention can fly relative to the Mars ground and is not affected by the geological landforms on the Mars surface, ensuring the stability and reliability of sample collection. The present invention also has the characteristics of simple structure and light weight.

The invention provides a Mars surface mineral classification method based on hyperspectral data. The Mars surface mineral classification method comprises the following steps: dividing a preprocessed Mars surface mineral standard hyperspectral data set into a training data set, a verification data set and a test data set; then, constructing a mineral classification deep learning model; and performing training optimization on the mineral classification deep learning model according to the training data set and the verification data set. And the optimized mineral classification deep learning model is tested according to the test data set, and the test classification accuracy is determined. And finally, under the condition that the test accuracy meets a preset accuracy condition, inputting to-be-identified Mars surface mineral hyperspectral data into the optimized mineral classification deep learning model, and outputting to obtain a Mars surface mineral classification result. Thus, richer feature representation in the hyperspectral data of the Mars surface minerals can be learned through the mineral classification deep learning model, more accurate mineral classification is achieved, and therefore the accuracy of classification of the Mars surface minerals can be effectively improved.

This disclosure discloses a simulation system for rock weathering in an extreme environment of Mars. The simulation system for rock weathering in an extreme environment of Mars includes a vacuum chamber, a storage structure, a temperature simulation unit, a gas circulation simulation unit, a wind speed simulation unit, and an illumination simulation unit. This disclosure further discloses a simulation test method for rock weathering in an extreme environment of Mars. Compared with the prior art, the simulation system for rock weathering in an extreme environment of Mars prepared by this disclosure can synchronously simulate extreme environments such as a vacuum environment, an atmospheric environment, a temperature environment, an illumination environment, and a sand and dust environment on a surface of Mars, monitors changes such as mass, porosity, and surface deformation of the sample in the weathering process in the extreme environment of Mars of the simulation system.

The present invention discloses a rock weathering simulation system under extreme Martian environments. The system comprises a vacuum chamber, a storage structure, a temperature simulation unit, a gas circulation simulation unit, a wind speed simulation unit, and a light simulation unit. The present invention also discloses a rock weathering simulation test method under extreme Martian environments. Compared with the prior art, the rock weathering simulation system under extreme Martian environments prepared by the present invention can simultaneously simulate extreme environments such as the vacuum, atmospheric, temperature, light, and dust environments on the Martian surface. It monitors changes in the sample's mass, porosity, and surface deformation during weathering under the simulated Martian extreme environment, and systematically evaluates the sample's weathering characteristics.

The present invention discloses a method for increasing the boiling point temperature of methane propellant, which relates to the field of cryogenic propellants. The method comprises: separating the carbon dioxide component in the Martian atmosphere and converting it into a liquid state, which is stored in a carbon dioxide storage tank; converting part of the liquid carbon dioxide in the carbon dioxide storage tank into a product gas containing gaseous methane; separating and purifying the product gas to obtain high-purity methane gas, converting it into liquid methane, and storing it in a methane storage tank; uniformly mixing the liquid carbon dioxide in the carbon dioxide storage tank with the liquid methane in the methane storage tank; and transporting the mixed product to a spacecraft tank via a pipeline. The overall boiling point temperature of the methane propellant containing liquid carbon dioxide is increased, thereby reducing the evaporation loss of the propellant during the spacecraft's navigation. In the in-situ preparation process of methane propellant on the Martian surface, the present invention utilizes captured liquid carbon dioxide as an additive medium to increase the boiling point of the methane propellant, and achieves the set target according to the colligative principle.

The invention discloses a rock weathering simulation system in an extreme environment of Mars. The rock weathering simulation system in the extreme environment of Mars comprises a vacuum chamber, a storage structure, a temperature simulation unit, a gas circulation simulation unit, a wind speed simulation unit and an illumination simulation unit. The invention further discloses a rock weathering simulation test method in the extreme environment of Mars. Compared with the prior art, the rock weathering simulation system under the Mars extreme environment can synchronously simulate extreme environments such as a vacuum environment, an atmospheric environment, a temperature environment, an illumination environment and a sand and dust environment on the surface of Mars; and monitoring the changes of the quality, porosity, surface deformation and the like of the sample in the weathering process under the Mars extreme environment of the simulation system, and systematically evaluating the weathering characteristics of the sample.

The invention relates to a Mars surface atmosphere trapping and compressing device and a method thereof. The Mars surface atmosphere trapping and compressing device comprises a pipeline system, a Mars atmosphere filtering system, a vacuum radiator, a low-pressure storage tank, a high-pressure storage tank, a scroll compressor and a plunger compressor. The scroll compressor adopts a three-scroll-ring design and is internally provided with parts such as a fixed disc with a built-in cooling channel; the plunger compressor adopts a three-piston parallel design, and is internally provided with a compression cavity with a built-in cooling channel and other parts; and the scroll compressor is connected with the plunger compressor through a double-head motor. Mars atmosphere firstly flows into the scroll compressor through the Mars atmosphere filtering system to be compressed to the low-pressure storage tank, and then flows into the plunger compressor to be compressed to the high-pressure storage tank; a loop is led out through the high-pressure storage tank, flows through the vacuum radiator, flows into the fixed disc with the built-in cooling channel and the compression cavity with the built-in cooling channel, and then flows back to the high-pressure storage tank through the vacuum radiator. The device is compact in structure, high in compression rate, advanced in heat dissipation technology and capable of achieving efficient collection and compression of atmosphere on the surface of Mars.