58 results about "Space exploration" patented technology

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 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.

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.

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. 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 belongs to the field of remote sensing satellite system engineering, and relates to a ground large closed-loop test system and method for a space exploration load working mode. A new space exploration load on-orbit working mode is designed according to the characteristics of an observation target, and the interior of the load is designed into a local sky area mode and a window tracking mode; the whole satellite load observation mode is designed into a natural rendezvous monitoring mode, a fixed-point staring monitoring mode, a scanning imaging mode and a target tracking mode; and aiming at a detection load mode, a dynamic star simulator is adopted to simulate an imaging sky area, and a simulated motion fragment target is added into the dynamic star simulator, so that simulation of a real imaging scene is realized. Meanwhile, in order to ensure that the load can successfully match and verify the local star catalogue and the sky area, a normal window tracking mode is switched to, so that the pointing direction corresponding to the sky area simulated by the dynamic star simulator is consistent with the pointing direction of the control broadcast, the on-orbit real working condition and time sequence can be accurately simulated, and the sufficiency of the ground test is improved.

The invention discloses a material iteration exploration method and system based on theories and experiments, and relates to the technical field of experimental scheme generation. According to the material iteration exploration method based on the theory and the experiment, modeling prediction based on initial parameters and optimization instructions is constructed, experimental parameters are screened and recommended in combination with experimental feasibility constraints, resources are scheduled to execute the experiment, data are collected, and data are aligned and analyzed to generate an optimization strategy to feed back and update a complete closed loop of a model. The method breaks the separation barrier of theory and experiment, achieves dynamic cooperation of the theory and experiment, can reduce blind experiments through accurate model prediction and parameter recommendation, improves the pertinence and success rate of the experiment, can continuously improve the prediction precision by means of reverse optimization of experimental data on the model, and finally efficiently compresses the material scientific space exploration period. And the resource loss and the cost investment in the research and development process are obviously reduced.

The application relates to a high-precision micro-nano temperature sensor for near-space detection and belongs to the technical field of temperature measurement. The application adopts a micro-bridge type structure, uses a platinum (Pt) resistance as a temperature measurement sensitive element, and is coated with a radiation-proof plating film on the outer surface of the sensor, and specifically comprises a sensing component, a first electrode, a second electrode, a power supply and a wire; the sensing component comprises a base, an insulating layer, a thermistor and a radiation-proof silver film; the base plays a bearing and external mounting role, the thermistor is attached to the insulating layer which is attached to the base, the thermistor is a platinum film, temperature measurement is realized, the radiation-proof aluminum film is plated on the outer layer, external interference is shielded, and the aluminum film is connected with the wire and the electrode as an electrode. The application has the characteristics of small volume, good resistance linearity, small heat capacity and strong radiation-proof capability, can achieve high measurement precision and very small response time, and solves the problems of temperature precision and response time of near-space detection.

The invention discloses a micro-grid scheduling optimization method and system based on a multi-objective parrot-shaped Arctic pole optimization algorithm, and the method comprises the steps: building a multi-objective optimization scheduling model of a micro-grid, and the multi-objective optimization scheduling model at least comprises an operation maintenance cost objective function and an environment protection cost objective function; a multi-strategy fused multi-target parrot-shaped north pole optimization algorithm is adopted to solve the multi-target optimization scheduling model, and a Pareto optimal solution set is obtained; and determining an optimal output strategy of each distributed power generation unit in the microgrid according to the Pareto optimal solution set. The space exploration capability of the algorithm in the early stage and the optimization precision of the algorithm in the later stage are ensured, and the optimization effect of micro-grid dispatching is improved.

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 path planning method, device and equipment for underground unknown environment space detection, a medium and a product, and relates to the field of robot autonomous navigation and path planning, the method comprises the following steps: constructing and discretizing a robot dynamic model, and obtaining environment point cloud data and a robot state in real time; on the basis of the environment point cloud data, online fine adjustment is conducted on a unified element learning symbol distance function model obtained through pre-training, the current robot state serves as a starting point, the discrete dynamics model and the current unified element learning symbol distance function model are combined, and an optimal control sequence is solved in a rolling mode through a model prediction control method; and executing the control instruction and updating the state, and circularly executing until the task is completed. According to the method, rapid adaptation and geometric modeling of a new environment are realized by utilizing a meta-learning framework, online optimization is carried out in combination with predictive control, the perception and planning capability of a robot to an unknown irregular underground space is improved, and the adaptability, safety and task completion efficiency of path planning are enhanced.

The application discloses a micro-grid scheduling optimization method and system based on a multi-target arctic sea parrot optimization algorithm, and the method comprises the following steps: establishing a multi-target optimization scheduling model of a micro-grid, wherein at least an operation and maintenance cost target function and an environmental protection cost target function are included in the multi-target optimization scheduling model; solving the multi-target optimization scheduling model by using a multi-strategy fusion multi-target arctic sea parrot optimization algorithm to obtain a Pareto optimal solution set; and determining an optimal output strategy of each distributed power generation unit in the micro-grid according to the Pareto optimal solution set. The algorithm has space exploration ability in the early stage and optimization precision in the later stage, and the optimization effect of micro-grid scheduling is improved.

A method for making a superconducting, electrically conductive solder column that is mechanically compliant and capable of operating at low cryogenic temperatures for quantum computing and AI computing in datacenters and at elevated temperatures for applications found in extraterrestrial space exploration. The solder column can have an indium alloy core and a surface covered by a braided structure comprising a plurality of small diameter niobium wires coated with a thin layer of indium-alloy. The niobium braided structure can limit deformation of the indium alloy core when the solder column structure is subjected to elevated temperatures exceeding a liquidus temperature of the indium alloy core during the coating process and during post-manufacturing operations. The braided niobium wires can limit the deformation of the indium alloy core when the column structure falls below the ductile to brittle transition temperature during exposure to low cryogenic temperatures.

The application belongs to the field of ground mobile robots, and particularly relates to a polygon rolling robot based on composite cam regulation and control, which comprises a planar six-bar mechanism (A), a center driving assembly (B), a first moving guide rod group (C1), a second moving guide rod group (C2), a first cam connecting rod assembly (D1), a second cam connecting rod assembly (D2) and a center cam (E). The polygon rolling robot based on composite cam regulation and control has high structural symmetry, can rely on single-degree-of-freedom driving to realize rolling on unstructured terrain, and adopts the center cam on both sides of the robot to adjust the structural trajectory for realizing high-speed rolling of the robot. The stable and fast moving performance makes the robot applicable to fields such as environmental survey and space exploration, and has a broad prospect.

The invention discloses a satellite information system with adaptive reconfigurable capability and an operation method, and relates to the technical field of aerospace and electronics. According to the satellite information system architecture with self-adaptive reconfigurable capability, each stand-alone system on a satellite is modularly decoupled, and flexible deployment of satellite functions can be realized through multiplexing of system hardware resources. According to the operation method based on the event triggering mechanism, self-adaptive function reconstruction of the satellite system is achieved through the event triggering mechanism, the task function flexibility of a satellite platform is expanded, and the satellite system serves the dynamic task requirement. The architecture design standardization and the operation processing mechanism standardization of the satellite system are improved, the satellite function range is expanded, the intelligent degree of the satellite system is enhanced, the in-orbit service life of the satellite is prolonged, the overall development cost of the satellite is reduced, and the satellite system can better serve the complex space exploration task in the future.

A multi-mode mobile robot with jumping, climbing and rolling functions belongs to the technical field of space exploration robots. Existing robots are limited to a single motion mode, and it is difficult to achieve long-term and high-precision exploration tasks on the lunar surface. The present application comprises a launching mechanism, a variable-diameter wheel mechanism and an auxiliary support wheel; the variable-diameter wheel mechanism and the auxiliary support wheel are respectively installed at both ends of the launching direction of the launching mechanism, and can support the launching mechanism off the ground; the variable-diameter wheel mechanism can be deformed into a wheel type attitude and a wheel spoke type attitude; when the variable-diameter wheel mechanism is deformed into a wheel type attitude, the robot can be in a wheel mode; when the variable-diameter wheel mechanism is deformed into a wheel spoke type attitude, the robot can be in an obstacle crossing mode; when the launching mechanism performs a bouncing action, the robot can be in a bouncing mode. The present application is mainly used for space exploration.

The invention discloses a planetary atmospheric trace gas in-situ collection device and a detection device and method, and belongs to the field of space detection. The collecting device comprises an air inlet pipe, a filtering tank communicated with the air inlet pipe, an enriching tank communicated with the filtering tank and a first protective cover, an air inlet hole is formed in the first protective cover, and the air inlet pipe is matched with the air inlet hole; the air inlet pipe is a capillary pipe; and a pressure monitoring assembly is arranged on an enrichment pipeline for communicating the filtering tank with the enrichment tank. According to the collection device, through the arrangement of the gas inlet pipe of the capillary tube, stable pressure drop of gas entering the filtering tank is achieved, stable gas inlet is achieved, efficient filtering and impurity removal of inlet gas are achieved through the filtering tank, and efficient enrichment of target trace gas is further achieved through the enrichment tank.

The invention relates to the crossing field of multi-agent control and space exploration technologies, and provides a multi-agent reinforcement learning formation control method and system for a rarefied Mars atmosphere in order to overcome the applicability defect of an existing multi-agent formation control method in an extreme Mars environment. The method comprises the following steps: firstly, sensing and accurately estimating a mars rarefied atmosphere state in real time, and providing reliable environment input for a control decision; secondly, an optimal control instruction is generated for each unmanned aerial vehicle through a multi-agent reinforcement learning framework; state information asynchronization caused by communication time delay and packet loss is processed through a communication and time delay compensation strategy, and real-time performance and stability of formation control are guaranteed; and finally, formation topology dynamic adjustment in a fault scene is realized through formation topology management and an adaptive reconstruction strategy, so that the fault-tolerant capability of the system to member faults is improved, and continuous execution of a Mars exploration task is ensured. The method can be widely applied to deep space exploration tasks such as Mars surface exploration, topographic mapping and resource exploration.

A Magnetic Storage Unit (MSU) for on-board cargo / logistics storage in aspects of space exploration including spacecraft / space flights / launch vehicles and cargo / logistics on the International Space Station (ISS) and other space systems such as space station and spacecraft is provided in the present invention explanation. Further provides an integration of the Magnetic Storage Unit (MSU) including a power source for transferring power to a power wall and a Long Logistics Rod (LLR), the Long Logistics Rod (LLR) is linked to a control center for human interaction with each container secured with a holder.

The invention discloses an earth-moon space orbit coverage performance analysis method, and belongs to the technical field of spacecraft orbit design and space exploration. The method comprises the following steps: establishing a unified multi-track data processing framework, and integrating different types of track data into a CR3BP coordinate system; constructing a multi-level earth-moon space point cloud model; constructing a plurality of scanning strategy libraries and distributing corresponding scanning modes for various tracks; independently executing scanning simulation on a plurality of tracks by adopting a vectorization calculation method, and tracking a coverage state and a performance index in real time; the single-track performance and the multi-track synergistic effect are analyzed, and the system-level coverage performance is comprehensively evaluated. According to the method, unified processing and collaborative analysis of multiple orbit types of the earth-moon space are realized, the calculation efficiency and the parameter adaptability are remarkably improved, the scanning coverage efficiency of the orbit to the earth-moon space can be systematically evaluated, and a scientific basis is provided for earth-moon detection task planning and optimization.

The invention discloses a method for performing antenna autonomous pointing control by using a small camera, and belongs to the technical field of space exploration. According to the method, the angular resolution of a camera is designed according to the requirement for autonomous pointing control of an antenna, the field angle of the earth in the camera is calculated when the earth is observed from a spacecraft, and the field angle of the camera is determined; therefore, the camera is designed to be installed on the antenna. Calculating the position of the center of mass according to the position of the earth in the field of view of the camera; and controlling the antenna to point to the central position of the earth according to the requirement for autonomous pointing control of the antenna. According to the method for performing antenna autonomous pointing control by using the small camera, guidance information can be provided for the spacecraft antenna to point to the earth in an on-orbit and real-time manner, closed-loop control of the spacecraft antenna to point to the earth is completed, and errors of a pointing mechanism and the like are eliminated.

The invention relates to a proton energy spectrum identification method based on a convolutional neural network and a CMOS image sensor proton-induced transient bright spot. A device involved in the method is composed of a PREF proton accelerator, a rotary sample table, a sample test board, a CMOS image sensor, a field programmable gate array and an online test computer. The method comprises the following steps: firstly, carrying out a proton online irradiation experiment with 10-60MeV proton energy and an incidence angle of 0-85 degrees, collecting a transient bright spot image output by a CMOS image sensor, extracting a single proton induced bright spot through threshold segmentation, calculating a bright spot size parameter and a pixel gray sum to construct a data set, and dividing a training set and a verification set; according to the method, a Grad-CAM visual analysis decision area is combined, a hot spot size threshold is set, effective samples are screened, proton energy identification is realized through model training, meanwhile, proton fluence measurement is completed, and the method is suitable for space detection and nuclear facility monitoring and has the advantages of being high in interference resistance, efficient in feature and flexible in adaptation.

The invention discloses a lunar sample ground transfer system and method based on active disturbance rejection and air suspension. The system comprises a static pressure gas bearing, a sample container bearing column and a vehicle-mounted platform. The sample container bearing column is arranged at the top end of the bearing; the bearing is arranged on the vehicle-mounted platform; the static pressure gas bearing is hollow to form a pressure stabilizing cavity and a pressure equalizing cavity which are mutually independent and connected through a throttling hole; one end of the pressure equalizing cavity is an opening of the bearing bottom end, and the contact surface of the bearing bottom end and the vehicle-mounted platform is a bearing surface; high-pressure gas flows to the pressure equalizing cavity through a throttling hole of the pressure stabilizing cavity, and a gas film is formed between the bearing surface and the vehicle-mounted platform; a throttler is arranged at the throttling hole in the pressure equalizing cavity and comprises an electric suction cup, a spring, an iron abutting plate and a conical head; the iron abutting plate is provided with a conical head extending into the throttling hole. The electric suction cup is arranged around the throttling hole, connected with the iron abutting plate through a spring and used for driving the iron abutting plate to drive the conical head to generate axial displacement. The conical head is used for changing the throttling area of the throttling hole when axial displacement is generated.

1. Name of the design product: biped robot. 2. Use of the design product: robot for industrial production, medical health, commercial or home service, space exploration and the like. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The invention discloses an unmanned aerial vehicle data acquisition method based on a prediction enhanced deep reinforcement learning network. According to the method, the state prediction network is introduced into the MATD3 framework, and cooperative trajectory planning of the unmanned aerial vehicle group in an unknown and dynamic environment can be realized in combination with an adaptive internal reward structure. According to the invention, the space exploration efficiency and the regional division capability are improved, and the repeated access and cooperation conflicts of the unmanned aerial vehicle are reduced, so that the task completion rate and the coverage performance are improved.