135 results about "Space exploration" patented technology

The invention discloses a robot unknown environment autonomous exploration navigation method based on CTSAC, and the method combines the powerful sequence perception capability of Transform and a Soft Actor-Critic deep reinforcement learning framework, and introduces curriculum learning of a regular review mechanism, laser radar partition optimization processing, and refined reward setting. The state of the robot is represented by laser radar data and gyroscope data which are subjected to laser radar partition optimization processing, meanwhile, after state information is subjected to refined reward setting, corresponding reward values are obtained, corresponding experience sequences are stored in an experience pool, and data obtained through sampling of the experience pool are supplied to a neural network for training. The method is suitable for the robot to perceive the surrounding environment through the sensor in an unknown environment to perform path planning so as to reach a specified target point or establish an environment map, and is used for complex tasks such as space exploration, search and rescue, reconnaissance and the like.

This application presents ideas for devices that solve energy generation problems and space exploration. This application show idea that is using device such using conductor / element or device. And this application show idea that is using device such using conductive line or carrier device. This application show idea that is using device such using photon or particle related device.

The invention discloses a space target main body centroid positioning method and system, and belongs to the technical field of space exploration, and the method comprises the steps: extracting a target region grey-scale image Iray from an original grey-scale image, carrying out the binarization, obtaining a binary image Ibin, respectively inhibiting the star point noise in the Iray and Ibin, then rotating the target regions in the Iray and Ibin to the level of a solar wing skeleton, and carrying out the rotation of the target regions in the Iray and Ibin. A grey-scale image Igrot and a binary image Ibrot are obtained; dividing the target area into a plurality of areas along the skeleton direction of the solar wing, calculating comprehensive similarity measurement between each area and other areas according to Irot and Ibrot, and determining the area with the minimum comprehensive similarity measurement as a main body area; if the mass center of the main body area is located on the space target, taking the mass center of the main body area as the main body centroid of the space target; and otherwise, taking the centroid of the space target in the Ibin as the main body centroid of the space target. According to the invention, accurate and stable main body centroid positioning can be carried out on space targets with various shapes and various postures in a complex imaging environment.

The invention relates to the technical field of karst space exploration, in particular to a karst space exploration method based on multi-source data mutual feedback inversion. The system comprises a data acquisition module used for acquiring multi-source geological data of a research area; the data preprocessing module is used for preprocessing the collected multi-source geological data; the multi-source data mutual feedback inversion module is used for constructing a geologic model of a karst space, and comprises a background value determination unit used for measuring a bedrock resistivity background value; the interpretation method construction unit is used for performing mutual feedback inversion on the multi-source data, generating a karst structure network in combination with geological information input and an artificial intelligence algorithm, searching an optimal path through hydrogeological simulation, and predicting a karst space; the karst space modeling module is used for constructing a three-dimensional geologic model of a karst space; and the visual output module is used for visually displaying the three-dimensional geologic model of the karst space. According to the technical scheme, the precision, reliability and efficiency of karst space exploration can be improved.

The invention discloses a star soil water-ice in-situ quantitative analysis system and method, and belongs to the technical field of planetary science and space exploration, the star soil water-ice in-situ quantitative analysis system comprises a detection platform, and a star soil collection unit and a star soil water vapor heating extraction unit are arranged outside a cabin of the detection platform; a first detection unit, a second detection unit, a control unit and a gas distribution unit are arranged in a cabin of the detection platform; the gas distribution unit is used for distributing the water vapor extracted by the star soil water vapor heating and extracting unit to the first detection unit and the second detection unit for analyzing the content and isotope composition of the water vapor of the star soil; the first detection unit and the second detection unit adopt different detection analysis technologies; and the control unit is used for controlling the detection analysis process of the analysis system. According to the system, an in-situ sampling analysis mode of'quantitative sampling of water-containing star soil, low-loss sample transfer, efficient heating extraction and high-precision instrument analysis' is adopted, so that accurate quantitative analysis of star soil water ice is realized.

The invention discloses an unmanned aerial vehicle mobile crowd sensing data acquisition trajectory optimization method based on communication enhancement deep reinforcement learning, and the method comprises the steps: constructing a mobile device and an unmanned aerial vehicle mobile model under a mobile crowd sensing scene for an application scene of mobile crowd sensing data collection; and a data transmission channel model and an unmanned aerial vehicle data acquisition model. In order to realize balance between the information age of data and the energy consumption of the unmanned aerial vehicle, the invention provides a communication enhanced trajectory optimization CETO algorithm, specifically, the trajectory of the unmanned aerial vehicle is optimized through balanced exploration and utilization of a network part of deep reinforcement learning in a continuous action space, and the energy consumption of the unmanned aerial vehicle is optimized through a communication mechanism. And each unmanned aerial vehicle can adaptively optimize the local state of the unmanned aerial vehicle by using the sharing state of the neighbor of the unmanned aerial vehicle. Experiments show that the CETO algorithm provided by the invention shows remarkable superiority and feasibility in the aspects of unmanned aerial vehicle trajectory design and data acquisition task completion.

The invention relates to the technical field of space exploration and lunar soil experiments, in particular to a melting centrifugal type mineral particle morphology remodeling device and a lunar soil glass ball preparation method. The device comprises a mineral protolith high-temperature melting system, a mineral melting slurry conveying system, a centrifugal mineral particle size control system and a mineral particle cooling and morphology remodeling system. The preparation method of the lunar soil glass ball comprises the following steps: adding basalt mineral powder and mineral melting additive powder into a melting centrifugal mineral particle morphology remodeling device to obtain simulated lunar soil glass balls with different particle sizes, and performing morphology transformation on the simulated lunar soil glass balls with different particle sizes by using an ion beam gun. And the lunar soil glass ball state of the impact melting history is reduced. According to the method, high-precision engineering mass production of components, morphology and mechanical properties of the lunar soil glass balls is realized through a fusion centrifugal forming and ion beam surface control composite process, and the problem of soil mechanical behavior deviation caused by morphology distortion of existing simulated lunar soil is solved.

The present disclosure is directed polymer-free, non-composite densified carbon nanotube (DCN) structures from thin carbon nanotube (CNT) films and methods of making the same. CNT thin films can be cut, folded, stacked and pre-arranged in the form of cylinders, discs, domes, frames, gaskets, jars, rings, sacks, seals and sheets on a smooth reaction vessel surface and subsequently densified with the use of chlorosulfonic acid (HClSO3) at elevated temperatures. The disclosed DCN structures can be used as EMI shielding, lightweight structural and functional components in extreme conditions commonly encountered in space exploration, polar expeditions and military operations, and also as hydrophilic filtration media that resist surface fouling and provide high flux.

The invention discloses a dynamic thermal protection device of space exploration optoelectronic equipment based on a flexible heat pipe, which comprises a heat dissipation support arranged on the outer side of the space exploration optoelectronic equipment, a bending driving device and the flexible heat pipe, the heat dissipation support is used for heat dissipation of the space exploration optoelectronic equipment, and the flexible heat pipe comprises a hot end, a cold end and a flexible connecting part. The flexible connecting part is communicated with the hot end and the cold end, the hot end of the flexible heat pipe is fixedly connected with the heat dissipation support, the cold end of the flexible heat pipe is connected to the output end of the bending driving device, the bending driving device drives the cold end of the flexible heat pipe to move, deformation of the flexible connecting part is achieved, and the heat conduction capacity of the flexible heat pipe is changed. According to the dynamic thermal protection device for the space environment detection satellite photoelectric equipment cabin by using the flexible variable heat pipe, the change of the heat conductivity coefficient of the heat pipe is realized by adjusting the bending angle of the flexible variable heat pipe, so that the self-adaptive adjustment of the temperature of the space environment detection satellite photoelectric equipment is realized.

The invention discloses a satellite orbit control method based on a continuous time near-end strategy optimization reinforcement learning algorithm, and the method comprises the following steps: 1, determining an action, namely acceleration, taken by a satellite, and the execution time of the action based on the continuous time near-end strategy optimization reinforcement learning algorithm; and step 2, realizing satellite orbit control based on the action taken by the satellite and the execution time obtained in the step 1. The advanced near-end strategy optimization reinforcement learning algorithm (PPO) and the continuous time control framework are combined, a high-precision, stable and energy-efficiency-optimized satellite orbit control solution is provided, remarkable technical advancement and wide application prospects are achieved, and powerful technical support is provided for future space exploration and satellite operation.

This patent introduces an innovative system for solar energy-assisted cold spray additive manufacturing, coating, and repair purposes. The system is designed for both extraterrestrial and terrestrial applications, leveraging the efficient utilization of the solar energy and in-situ resources for manufacturing processes. The comprehensive system integrates multiple technologies, including a cold spraying unit, a solar energy-based air / gas compressing unit, a unit for solar light collection, guiding, and amplification, a solar furnace unit, a solar cell for electrical energy unit, commercial powder / local soil collection and sieving unit, robotic units for guiding, communication, materials transport purposes, and a dry ice and carbon dioxide gas reservoir with solar energy-based heating system. The invention is particularly suited for use on Mars, utilizing the planet's atmospheric carbon dioxide and solid carbon dioxide (i.e., dry ice, which can be sublimed to gaseous carbon dioxide) to be used as the carrier gas for the spraying process. This approach minimizes the need for transporting materials from the Earth, addressing a significant challenge in space exploration and colonization. The system includes solar energy-based scanners to preheat the substrate surfaces and deposited layers, reducing thermal stresses and enhancing the interfacial bonding between the deposited layers and the substrate. This invention offers a sustainable and efficient solution for manufacturing and repairing components and structures in space, supporting the growing interest in extraterrestrial exploration and habitation.

A compact vibratory burrowing probe, particularly beneficial in low gravity space exploration environments, uses lateral or stirring-like vibrations to fluidize a surrounding regolith, thereby decreasing the penetration resistance, and compensating for the light overhead weight to improve the burrowing action of the probe into the surface of the terrain of explored moons, planets, or asteroids. Included is a novel vibratory mechanism capable of imparting the novel lateral or stirring vibration, as well as a more conventionally oriented longitudinal vibration.

The invention discloses a space manipulator joint electromechanical transmission system design and optimization method, which belongs to the technical field of machine manufacturing, and comprises the following steps: obtaining the initial design of macrostructure parameters of parts based on the design requirements of a key electromechanical transmission system; constructing a performance parameter calculation model of the electromechanical transmission system based on the initial design of the macrostructure parameters of the parts; an electromechanical transmission system optimization model is established based on the performance parameter calculation model of the electromechanical transmission system, optimal motor structure parameters are obtained based on the electromechanical transmission system optimization model, and optimal planetary gear transmission system structure parameters are obtained based on the optimal motor structure parameters. According to the method, an efficient, light and safe joint electromechanical transmission system scheme can be effectively designed in an assisting manner, the limitation that a space manipulator joint electromechanical transmission system is low in transmission efficiency and safety and light weight is difficult to consider under the characteristics of multiple power sources, multi-stage transmission, large transmission ratio and the like is eliminated, and reliable support is provided for future space exploration and satellite application.

The invention discloses a system and a method for testing the vacuum thermal sublimation loss rate of ice-containing soil, and belongs to the technical field of vacuum thermal sublimation simulation experiments of space exploration. The test system comprises a data acquisition system, a sample preparation chamber, a first vacuum low-temperature chamber, a second vacuum chamber and an in-place detection simulation vacuum chamber, and can timely place a prepared sample in a test condition, so that the prepared sample is prevented from changing in advance when not entering the simulation vacuum chamber; therefore, the initial condition of the sample is effectively controlled, the accuracy and repeatability of measured data are ensured, meanwhile, the change process of the monitored sample from the initial state to the target condition can be implemented, and in-situ measurement is realized. The test method comprises the influence of factors such as heating temperature, star soil heap type, sample throwing, sample physical property parameters and the like on the vacuum thermally-induced sublimation loss rate of the ice-containing star soil, provides correction parameters for the real water content of the original star soil, and also provides data support for improving the extraction efficiency of lunar soil water ice.

The invention provides an unmanned aerial vehicle autonomous exploration method based on boundary detection and probability sampling fusion, and the method comprises the steps: firstly generating a high-quality viewpoint through a probability sampling model, and providing precise data support for path planning in an exploration stage; secondly, efficient collaboration of global planning and local planning is achieved by means of a layered planning architecture and a topological path search technology; and finally, through a re-planning mechanism, the robustness and task continuity of the unmanned aerial vehicle in the exploration process in a complex unknown environment are ensured. Aiming at the technical defects that the existing autonomous exploration method is easy to fall into local optimum, low in calculation efficiency, insufficient in track smoothness and the like, the invention provides a solution suitable for an unknown environment, and a space exploration task can be efficiently and quickly completed.

The invention provides an SMT solver rewriting system defect detection method based on rewriting space exploration, and aims to solve the problems that in the prior art, an SMT solver rewriting system is insufficient in verification, test input is difficult to trigger a rewriting rule, errors are difficult to verify and the like. The method comprises the following steps: 1) collecting and automatically verifying rewriting rules in an SMT solver, and constructing a high-quality rule base; 2) performing structure transformation on the existing test formula by adopting mimicry variation to enable the existing test formula to be matched with a rewriting rule mode, thereby activating more rewriting opportunities; 3) constructing an equivalence graph based on a generative equivalence saturation technology, and systematically generating semantic equivalence but structural diversity formula variants; and 4) inputting the original formula and the variant formula into an SMT solver, comparing the solving result with the performance behavior, and detecting potential defects. The invention also provides corresponding system implementation, and supports an automatic test process, rule management, formula generation and defect recording.

The invention relates to the technical field of spacecrafts, in particular to a spacecraft defense material and a preparation method thereof, and designs a structure capable of effectively absorbing and dispersing impact energy on microscopic and macroscopic scales by utilizing computer simulation and an advanced material modeling technology. A base material with high strength, high toughness, light weight and corrosion resistance is selected, nanofibers, nanoparticles or nanosheet layers are embedded into the base material by utilizing a nanotechnology so as to enhance the mechanical property and the impact resistance of the base material, and the shape, the structure and the performance of the material are accurately controlled by adopting an advanced manufacturing technology. The prepared materials are stacked, bonded or mechanically connected together to form a final defense structure, and the structure is strictly tested. By combining a nanotechnology, composite material engineering and an additive manufacturing defense material, the deep requirement of a space exploration task is met, and the safety of astronauts and the smooth completion of the task are ensured.

The application discloses a small animal independent ventilation non-magnetic cage feeding system for indoor air intake and exhaust in a sub-magnetic space, which comprises the following parts: an external magnetic field shielding room, a small animal feeding non-magnetic cage, a non-magnetic cage placing rack, a ventilation unit and an air purification unit and the like; the external magnetic field shielding room mainly shields the external geomagnetic field and provides a required sub-magnetic environment for small animal cultivation; the non-magnetic cage placing rack is mainly used for placing the small animal feeding non-magnetic cage and is equipped with independent ventilation pipelines required for small animal feeding and is also made of non-magnetic materials; the non-magnetic feeding system for small animal cultivation in the sub-magnetic space disclosed in the application is mainly used for in-depth research on the influence mechanism of the sub-magnetic field environment on living beings, so as to further improve the survival rate and life quality of astronauts in future space exploration and interstellar travel.

The invention provides a non-zero and dynamic Stackelberg pursuit game control method for a spacecraft system, and aims to solve the pursuit game problem of a spacecraft in the fields of space exploration, military reconnaissance and the like. According to the method, a traditional zero-sum game model is broken through, a non-zero-sum dynamic game framework is adopted, and the cooperation and competition relation between purchasers and escapers is reflected more practically. Effective control of a spacecraft pursuit game is realized through five steps of establishing a mathematical model, designing a control strategy, converting a cost function, solving a matrix Riccati equation and solving an optimal control gain.

An electronic watch can be configured to have a function for space exploration and / or terrestrial planet surface exploration. The watch can include a time display device and a processor subsystem. The processor subsystem can be configured to maintain a coordinated planet time of a terrestrial planet, obtain longitude data representing a longitude of interest on the terrestrial planet, the longitude of interest being different from the prime meridian of the planet, determine a local true solar time, LTST, at the longitude of interest as a function of the coordinated planet time, and control the time display device of the electronic watch to display the LTST using a time equation that takes into account an orbital eccentricity and an axial tilt of the terrestrial planet.

The application discloses a robot unknown environment autonomous exploration navigation method based on CTSAC, which combines the powerful sequence perception ability of the Transformer with the Soft Actor-Critic deep reinforcement learning framework, and introduces a periodic review mechanism, course learning, laser radar partition optimization processing and refined reward setting. The state of the robot is represented by the laser radar data and the gyroscope data after laser radar partition optimization processing. Meanwhile, the state information is used to obtain the corresponding reward value after refined reward setting, and the corresponding experience sequence is stored in the experience pool. The data sampled from the experience pool is used to train the neural network. The application is suitable for robots to perceive the surrounding environment through sensors, plan paths to reach the specified target point or establish an environment map in an unknown environment, and is used for complex tasks such as space exploration, search and rescue and reconnaissance.

The invention discloses a mineral combination analysis method based on Monte Carlo, and relates to the field of mineral analysis, and the method comprises the following steps: multi-source data fusion and preprocessing; constructing a physical model and generating an initial solution; performing multi-scale feature fusion extraction; monte Carlo random sampling and solution space exploration are carried out; performing physical-data dual-drive evaluation and screening; carrying out iterative updating and model optimization; and carrying out convergence judgment and result output. Through multi-source data fusion, a physical-data dual-drive model and a Monte Carlo method, and in combination with multi-scale feature fusion and iterative optimization, the problem of multiplicity of solutions of mineral combination recognition is effectively solved. According to the method, geophysics, geochemistry, remote sensing, drilling core and mineral spectrum data can be integrated, the model is updated through iteration, the most possible mineral combination is gradually converged, uncertainty evaluation is provided, and therefore the accuracy and reliability of mineral recognition are improved.

This invention discloses a lithology identification method based on hybrid mode decomposition and fuzzy entropy-PSO optimization of drilling signals, belonging to the field of integrated deep earth space exploration and drilling geophysical exploration technology. The method first acquires real-time seismic monitoring signals during drilling; then, it uses an empirical and variational hybrid mode decomposition (EVMD) method to decompose the original signal, removing strong noise disturbances; finally, it employs a particle swarm optimization (PSO) algorithm combined with adaptive optimization using fuzzy entropy as the objective function to obtain the optimal parameter combination [K, α] of EVMD, and decomposes it to obtain the optimal modal data and construct a multi-dimensional feature vector, completing the real-time identification and judgment of strata lithology and rock mass structural characteristics. This invention effectively solves the technical problems of traditional methods, such as difficulty in separating strong noise, fixed parameters that cannot be adaptively adapted, mode aliasing, and poor real-time performance. It achieves extremely high lithology identification accuracy and is suitable for deep earth space development, deep resource exploration, and intelligent construction of underground engineering projects.

The application belongs to the technical field of space exploration imaging, and provides an imaging instrument view direction calibration method, comprising the following steps: obtaining a calibration image and identifying a target star point to find a predicted view line pointing center; obtaining a calibration view line pointing center of the imaging instrument in the calibration image and calculating a center pointing error; calculating lens parameters and star point fitting errors of the imaging instrument; generating an azimuth angle grid and an elevation angle grid of the lens view line pointing, and calculating a center pointing error and a star point fitting error of each grid point formed by the azimuth angle grid and the elevation angle grid to form a dispersion matrix and a fitting error matrix respectively; calculating a normalized goodness matrix and determining a lens optimized pointing. The method can realize accurate calibration of the imaging instrument lens pointing and lens parameters without knowing the lens view line center pointing, does not need to consider the lens field of view size, corrects the error caused by the imaging instrument pointing deviation, and improves the measurement accuracy.

1. Name of the design product: non-pneumatic tire. 2. Use of the design product: The product is a non-pneumatic tire which does not need to be inflated during use, and is used for small unmanned exploration vehicles for space exploration, etc. 3. Design points of the design product: in shape. 4. Picture or photograph best indicating the design points: perspective view. 5. The tread pattern of the product is evenly distributed over the entire circumference, and the rear view, top view, bottom view are omitted; the left view is symmetrical with the right view, and the left view is omitted.

This invention discloses a large-model-guided risk scheduling method and system for multi-energy microgrids. First, a physical model of the multi-energy microgrid is constructed and reconstructed as a Markov decision process considering conditional value of risk (CVaR). Second, a dual-timescale deep reinforcement learning architecture integrating large language model inference is built, designing an inner-loop real-time control loop and an outer-loop LLM inference loop. Third, an inference-driven action space exploration mechanism is established, using LLM to achieve directional bias injection and adaptive variance modulation, explicitly guiding the exploration direction and intensity of reinforcement learning. Finally, the CVaR index is integrated into risk-aware exploration and control, iteratively optimizing and outputting the optimal unit output and reserve capacity scheduling scheme. This invention significantly improves the convergence efficiency and sample utilization of reinforcement learning, ensures the economy of the scheduling strategy and its robustness in extreme scenarios, balances the operating cost and risk control of multi-energy microgrids, and possesses strong engineering practicality.

1. The name of this design product: Robot. 2. Purpose of the product with this design: This product is an intelligent robot suitable for industrial production, commercial or home services, space exploration, security inspection and fire rescue. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

An electronic watch may be provided having functionality for space exploration and / or surface exploration on a terrestrial planet. The watch may comprise a time displaying means and a processor subsystem. The processor subsystem may be configured to maintain a coordinated planetary time of a terrestrial planet, obtain longitudinal data representing a longitude of interest on the terrestrial planet which is different from the planet's prime meridian, determine a local true solar time, LTST, at the longitude of interest as a function of the coordinated planetary time and using an equation of time which accounts for orbital eccentricity and rotational axis tilt of the terrestrial planet, and to control the time displaying means of the electronic watch to display the LTST.

1. Name of the product in this design: Robot (Wide-area closed-chain five-link double-wheel leg). 2. Purpose of this design: As a space exploration device, it is used for the transportation and delivery of materials on the planetary surface, as well as for cleaning solar panels and equipment maintenance. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses a flare prediction method based on multiple deep learning algorithms, and the method comprises the steps: carrying out the data cleaning, processing missing values and abnormal values, dividing a data set, and enhancing the numerical stability of a model through Min-Max normalization. In view of numerous magnetic field features, XGBoost is adopted for feature selection. In order to solve the problem of class imbalance in a data set, minority class samples are generated through SMOTE, majority class samples are reduced through undersampling, and therefore the proportion of positive and negative samples is balanced. And then, respectively inputting the data into 1DCNN, TCN and LSTM models, and fusing prediction results of the three models by using a weighted average method to obtain a final prediction result. According to the method, multiple deep learning technologies are utilized to express sequence data features, more accurate prediction of the solar flare is realized through comprehensive processing, the solar flare prediction efficiency and accuracy are improved, and an important guarantee is provided for space exploration and activities.