28 results about "Solar wind" patented technology

The invention discloses a solar wind speed prediction method based on a fusion prediction mode and a collaborative attention mechanism. The method comprises the following specific steps: collecting and processing solar wind speed and related data within a certain time; dividing the data into a plurality of patches through a patterning segmentation method, learning a plurality of modes in prediction information, and guiding mode fusion by using historical information to obtain fused prediction mode information; learning historical information and fused prediction mode information by using an attention mechanism to obtain time sequence feature representation, aggregating global information through down-sampling and the attention mechanism, and learning inter-variable relation feature representation of variable dimensions for the global information by using a collaborative attention mechanism; mapping the relationship feature representation among the variables through a flat layer to obtain a solar wind speed prediction result; and training and optimizing the model. According to the method, prediction mode information can be fully mined so as to realize interaction between historical information and prediction information, meanwhile, the relation strength between variables can be captured, and the prediction precision is improved.

The invention provides a step-by-step etching method for extracting an extremely trace amount of solar wind 10Be from a moon sample. Comprising the following steps: 1, screening samples; step 2, etching; step 3, element content analysis; step 4, performing complete digestion; step 5, fluorine removal; step 6, ion exchange; step 7, preparing Be (OH) 2; and step 8, preparing a BeO target sample. According to the method, the etching step length is accurately regulated and controlled by monitoring the element contents of different etching layers, so that fine etching is realized; compared with an existing full dissolution technology, the method is a brand-new step-by-step etching method, and by combining an ion exchange method, layer-by-layer etching of the moon and other extraterrestrial samples and extraction of 10Be in the moon and other extraterrestrial samples are achieved; according to the method, the solar wind injection rate can be determined, and the solar wind injection resource generation rate of the moon and other extraterrestrial celestial bodies can be estimated.

The invention discloses a time-frequency autocorrelation comparison solar wind speed time sequence prediction method fused with frequency domain consistency, and the method mainly comprises the steps: carrying out the preprocessing of solar wind speed time sequence data, and dividing a data set; sample features are extracted through a Transform model; frequency domain context autocorrelation contrast loss is obtained through frequency domain context autocorrelation contrast learning in frequency domain analysis; time domain label cross-correlation comparison loss is obtained through time domain label cross-correlation comparison learning in time domain analysis; a linear predictor of the model is used for calculating sample features to obtain a prediction sequence, and the mean square error of the prediction sequence and a real sequence is used as prediction loss; based on the frequency domain context self-correlation comparison loss, the time domain label cross-correlation comparison loss and the prediction loss, obtaining training loss for model optimization through weight summation; and performing solar wind speed time sequence prediction by using the optimized model. According to the method, the extraction capability of the time sequence prediction model on the dependence between input and output is improved, and the solar wind speed time sequence prediction performance is effectively improved.

The disclosed system provides advanced mission control predictive systems for low earth orbit semi-autonomous satellites. In operation, the system may include a satellite transit behavior prediction module configured to train a neural network based on current and past satellite orbital transit paths so as to predict future transit paths. Knowing precise future satellite transit paths enables a ground-based satellite control system to more efficiently (and with greater accuracy) control certain operations of the satellites. For example, a ground-based satellite control system can prepare for communications to commence at a particular time. Legacy systems can only predict one or two days in advance However, using a neural network that not only takes into consideration historical transit data, but also learned details such as solar wind, cloud patterns, etc., the neural network predicts future satellite transit paths with statistically-certain accuracy leading to a much narrower cone of uncertainty.

The invention provides an ion measurement device with high-resolution mass spectrum detection and charge state measurement functions, and the device comprises a deflection system which is used for introducing solar wind ions into a geometric factor control system; the geometric factor control system is used for introducing the solar wind ions into the hemispherical electrostatic analyzer and adjusting the flux measurement range by adjusting the voltage; the electrostatic analyzer is used for performing energy analysis on the solar wind ions through voltage; the flight time system is used for recording an initial charge signal and a termination charge signal of ion flight and measuring ion deposition energy; the pre-amplification system multiplies and amplifies weak signals of ions and electrons, identifies and processes the signals and outputs digital signals; and the electronic processing unit is used for processing a signal output by the pre-amplification system, obtaining information of components, charge states, directions, energy and flux of solar wind ions, and providing multiple paths of high voltage required by the device. The device has the advantage that mass spectrum detection and charge state measurement are simultaneously realized on one device.

The invention provides an automatic plant farm control system in a planetary environment. The automatic plant farm control system comprises a central control system, an environment monitoring system, a plant cultivation cabin, a nutrient management system, an automatic sowing and harvesting system and a resource recovery and circulation system. Under the conditions of extreme temperature difference, low air pressure and non-earth type atmosphere, temperature, humidity and gas balance environment needed by plants can be provided, and adaptive growth of the plants on different planets is ensured. And secondly, cosmic rays, solar wind and planetary surface radiation can be resisted. Besides, a closed-loop resource circulation system is developed especially for the current situation that deep space resources are deficient, multi-stage purification and recovery of water resources and efficient degradation and utilization of waste are achieved, and the resource use efficiency is remarkably improved. And finally, aiming at the deep space communication delay problem, the AI autonomous decision technology is adopted, environment regulation and control, irrigation management and fault repair can be completed without human intervention, and deep space task requirements are met.

This invention discloses a plasma irradiation platform for simulating solar wind bombardment of aerospace-grade chips. This platform is designed to simulate the blinding effect of high-speed solar wind plasma particle streams on aerospace-grade electronic chips. Specifically, it relates to the fields of pulsed plasma sources and chip irradiation detection technology, including an irradiation host system, a multi-pulse high-voltage, high-current power supply, a power controller, a vacuum chamber, a vacuum pump assembly, a high-speed pulse intake valve, a stage, and a real-time chip failure monitoring system. This invention can be used to simulate the impact of multi-pulse high-speed plasma irradiation on aerospace-grade chips in space on chip failure. The target plasma generated by the plasma source designed in this invention has parameters close to those of solar wind plasma in a space environment, making it an effective means of simulating the blinding effect of this phenomenon on aerospace-grade electronic chips.

The invention discloses a method for preparing an excellent soft magnetic amorphous nanocrystalline alloy based on a lunar soil crystallization phenomenon and the soft magnetic amorphous nanocrystalline alloy, and the method comprises the following steps: proportioning according to the atomic percent of the Fe-based amorphous nanocrystalline alloy, and smelting to obtain a master alloy ingot; the master alloy ingot is converted into Fe-based amorphous alloy through a single-roller quenching method, a suction casting method or a magnetron sputtering method; fixing the Fe-based amorphous alloy on a substrate, and performing ion irradiation similar to solar wind on the Fe-based amorphous alloy in a vacuum environment; and annealing the Fe-based amorphous alloy subjected to ion irradiation to obtain the soft magnetic amorphous nanocrystalline alloy. By means of the method, the amorphous nanocrystalline alloy with the high soft magnetic performance can be efficiently prepared.

The invention discloses a solar wind speed time sequence prediction method based on fragment global and local comparative learning. The method mainly comprises the following steps: preprocessing solar wind speed time sequence data, dividing a data set, dividing fragments on a training set and calculating a global autocorrelation statistic; a Transform model is used to extract sample features; selecting different fragment features as positive and negative samples according to the global autocorrelation statistics to calculate global autocorrelation comparison loss; calculating correlation between fragments in the sample, and selecting different fragment features as positive and negative samples according to the correlation to calculate local cross-correlation comparison loss; prediction is obtained by using the features, global autocorrelation contrast loss, local cross-correlation contrast loss and mean square error prediction loss are subjected to weighted fusion, and model parameters are updated. According to the method, the extraction capability of the time sequence prediction model on global dependence and local change features is improved, and the solar wind speed time sequence prediction performance is effectively improved.

The disclosed system provides advanced mission control predictive systems for low earth orbit semi-autonomous satellites. In operation, the system may include a satellite transit behavior prediction module configured to train a neural network based on current and past satellite orbital transit paths so as to predict future transit paths. Knowing precise future satellite transit paths enables a ground-based satellite control system to more efficiently (and with greater accuracy) control certain operations of the satellites. For example, a ground-based satellite control system can prepare for communications to commence at a particular time. Legacy systems can only predict one or two days in advance However, using a neural network that not only takes into consideration historical transit data, but also learned details such as solar wind, cloud patterns, etc., the neural network predicts future satellite transit paths with statistically-certain accuracy leading to a much narrower cone of uncertainty.

The invention provides an outer wall heat transfer coefficient field detection method and system based on an infrared thermal imaging technology. An infrared thermal imager is used for rapidly scanning an outer wall in a non-contact mode, initial temperature distribution is efficiently obtained, time and labor are saved, a dynamic environment correction mechanism is constructed, wall temperature, the sun, wind speed and other data are collected for 12 hours, phase difference characteristics are extracted, and the outer wall heat transfer coefficient field detection method and system based on the infrared thermal imaging technology are obtained through amplitude and phase spectrograms. Lagging interference of solar radiation and wind speed fluctuation is accurately eliminated through an instant correction coefficient and a phase offset, temperature data are made to be more real, a heat transfer coefficient calculated based on the corrected temperature data is accurate and reliable in result, a key basis can be provided for building energy-saving transformation and judgment of whether the standard is reached or not, and the method is suitable for different environments and outer wall types, high in universality and easy to popularize. And energy-saving evaluation and quality control in the building industry are facilitated.

An apparatus detects complex time-variant electromagnetic disturbances resulting from a high-altitude nuclear electromagnetic pulse (EMP) or solar storm. The device relies on a circuit (104, 1301) to monitor the input power lines (301, 401, 501) for sustained conducted electrical disturbances associated with the E3 phase of an EMP or solar storm. A separate circuit (105, 1302) monitors the power lines and the ambient environment (503) for transient electromagnetic pulse disturbances associated with the E1 and E2 phases of an EMP. A housing (901, 902) has a pair of AC mains wall plug prongs (905) extending from a side. When sustained electrical disturbances or transient electromagnetic pulse disturbances are detected, the apparatus provides a visual alarm (603, 609), audible alarm (608), and discrete indication signal (607) that can be used to disconnect (702) or redirect the flow of electrical power.

A method includes receiving a plurality of data sets, wherein the plurality of data sets includes a measured low-energy electrons that is less than or equal to 1.5 MeV, and wherein the plurality of data sets further includes data associated with solar wind. The method further includes receiving measured data associated with higher electron events of greater than or equal to 2 MeV. In response to a selection of at least two data sets from the plurality of data sets, and further in response to a selection of one or more machine learning (ML) algorithms from a plurality of ML algorithms, and further in response to a selection of a number of window size, a plurality of ML models is generated based on the selections as an input and the measured data associated with higher electron events of greater than or equal to 2 MeV as its output.

The application discloses a kind of robust spline decomposition and extreme value extraction method of solar wind speed time series, comprising, after obtaining solar wind speed time series, according to predetermined spline node number n, utilize quantile position method in generated time index selects n node positions, constructs cubic B spline base function, forms spline base function;Then, realize robust fitting using Huber loss function, by iterative optimization dynamically reduce the weight of abnormal point, extract stable trend item, and utilize the absolute median deviation of residual to set extreme value discrimination threshold, accurately identify abnormal fluctuation;The final output decomposition result includes smooth trend item, extreme fluctuation item and weight vector;The above decomposition result can effectively distinguish long-term trend and extreme event in solar wind speed time series, improve solar background analysis and the identification ability of space extreme weather, applicable to space weather forecast and disaster risk assessment.

The application provides a geosynchronous orbit high-energy electron flux prediction method, a model and a model construction method, and relates to the field of electron flux prediction; the geosynchronous orbit high-energy electron flux prediction method comprises the following steps: constructing a geosynchronous orbit high-energy electron flux prediction model; inputting the following parameters into the geosynchronous orbit high-energy electron flux prediction model: a time point T, spatial coordinates of a spatial point in a radiation belt, and average solar wind speed in a time range of [T-a hours, T-b hours]; calculating high-energy electron flux at the geosynchronous orbit height passing through the spatial point in a quiet period; judging whether the spatial point at the geosynchronous orbit height is in a storm time or not, and outputting high-energy electron flux at the geosynchronous orbit height passing through the spatial point in the quiet period or the storm time. The high-energy electron flux prediction method provided by the application can automatically switch the flux prediction mode in the quiet period or the storm time, and significantly improves the prediction accuracy under different geomagnetic activity conditions.

The invention discloses a method for preparing metal and oxygen by smelting lunar soil through lunar surface solar wind, and belongs to the technical field of space metallurgy and oxygen generation. According to the method, hydrogen and argon mixed gas plasma is used for simulating solar wind particles, the simulated solar wind is used for electrolysis, an electric field or a magnetic field is used for deflection, so that current and particle flow in the solar wind are separated, and H < + > and He < + > are introduced into one side of a lunar soil molten oxide melt for an oxidation reaction; electrons are introduced into the other side of the molten oxide melt for a reduction reaction, protons and alpha particles at the oxidation reaction end act with oxygen ions at high temperature to generate water and oxygen, and electrons at the reduction reaction end act with metal ions to generate metal. According to the method provided by the invention, the solar wind resource can be utilized, meanwhile, the problem of high-temperature corrosion of the anode in the lunar soil electrolysis process is avoided, and in-situ utilization of lunar resources is realized.

This item is a coin-shaped gaming piece, the front of which is displayed with three types of symbols (wind, fire, and water) and the numbers 1 through 3. The back of the piece is displayed with a symbol of either the sun or the moon. The combinations of symbols on the front and back of this coin-shaped gaming piece are as follows: Wind 1 / Sun-Wind 2 / Sun-Wind 3 / Sun-Wind 1 / Moon-Wind 2 / Moon-Wind 3 / Moon-Fire 1 / Sun-Fire 2 / Sun-Fire 3 / Sun-Fire 1 / Moon-Fire 2 / Moon-Fire 3 / Moon-Water 1 / Sun-Water 2 / Sun-Water 3 / Sun-Water 1 / Moon-Water 2 / Moon-Water 3 / Moon-Water 1 / Moon-Water 2 / Moon-Water 3 / Moon.

To provide a three-dimensional space craft having a so-called tensegrity structure and capable of appropriately controlling vibration even if the vibration occurs when landing to work on a satellite or a planet upon reception of air resistance, a solar wind disturbance or the like.SOLUTION: A three-dimensional space craft 100 comprises a plurality of compression members 10 and a plurality of tension members 20. Three or more tension members 20 are connected to the end of each compression member 10. A three-dimensional shape formed by the compression members 10 and the tension members 20 is configured to be held by the tension of the tension members 20. A damping force variable damper 50 is installed in at least one of the compression and tension members 10 and 20. The damping force variable damper 50 is configured to generate a prescribed force in the longitudinal direction of the compression member 10 and the tension member 20.SELECTED DRAWING: Figure 1A

This invention belongs to the field of solar and wind power generation technology, and specifically relates to a combined foldable solar and wind power generation device and method. It includes a base, with a generator fixedly installed at the bottom center of the base. The rotor of the generator is fixedly connected to the output shaft of a speed increaser, and the input shaft of the speed increaser is fixedly connected to the lower end of a central rod. A retaining ring structure is fixedly installed on the upper part of the central rod. Six sets of telescopic structures are fixedly connected to the retaining ring structure in a staggered circumferential arrangement. This invention employs a telescopic structure, allowing not only the first servo motor to switch between unfolding and retracting the second connecting rod based on wind speed and direction information, but also the second servo motor to precisely adjust the blade structure based on the real-time collected light intensity and direction. This enables automatic switching between four operating modes: high wind protection, pure wind power, pure solar power, and combined solar and wind power generation, significantly improving the device's environmental adaptability, portability, and transportation convenience.

The utility model relates to the field of solar lamps, and provides a solar wind-rotating lamp which comprises a supporting rod, at least one solar box and a wind-rotating support arranged on the solar box, at least one lamp source is arranged on the solar box and / or the wind-rotating support, at least one bearing is arranged on the solar box and / or the wind-rotating support, and the supporting rod is sleeved with the bearing in a rotatable mode. A solar module is arranged on the solar box and connected with the light source, the supporting rod comprises an inner rod and at least two sleeve rods arranged on the inner rod in a sleeving mode, the bearing can be clamped between the two adjacent sleeve rods, the sleeve rods are fixed to the inner rod through fixing pieces, and wind rotating blades are arranged on the wind rotating support. The wind rotating support, the solar box and the lamp source form a rotating body, the light effect is good in the rotating process, the whole wind rotating lamp is stable and not prone to toppling, the supporting rod is not prone to deformation, the structure is more attractive, and the technical problems that the wind rotating lamp is insufficient in attractiveness and poor in stability in the wind rotating process are solved.

The present disclosure pertains to the Crypto Solar Wind Oasis Tree, an inventive cryptocurrency mining system engineered to harmonize with environmental sustainability goals. This system integrates renewable energy sources, including vertical axis wind turbines and photovoltaic solar panels, with a novel water reservoir that facilitates both cooling and hydroelectric power generation. Designed to mimic the natural structure of a tree, this invention optimizes the capture and utilization of solar and wind energy, while its innovative cooling system leverages water from the integrated reservoir, reducing the thermal load on the mining hardware. An advanced control system, employing artificial intelligence and real-time data analysis, dynamically manages energy production, storage, and operational efficiency, ensuring the system's adaptability to varying environmental conditions. Additionally, the inclusion of green walls or vertical gardens enhances its aesthetic appeal and environmental benefits, making the Crypto Solar Wind Oasis Tree a cutting-edge solution for sustainable cryptocurrency mining. The present disclosure pertains to the Crypto Solar Wind Oasis Tree, an inventive cryptocurrency mining system engineered to harmonize with environmental sustainability goals. This system integrates renewable energy sources, including vertical axis wind turbines and photovoltaic solar panels, with a novel water reservoir that facilitates both cooling and hydroelectric power generation. Designed to mimic the natural structure of a tree, this invention optimizes the capture and utilization of solar and wind energy, while its innovative cooling system leverages water from the integrated reservoir, reducing the thermal load on the mining hardware. An advanced control system, employing artificial intelligence and real-time data analysis, dynamically manages energy production, storage, and operational efficiency, ensuring the system's adaptability to varying environmental conditions. Additionally, the inclusion of green walls or vertical gardens enhances its aesthetic appeal and environmental benefits, making the Crypto Solar Wind Oasis Tree a cutting-edge solution for sustainable cryptocurrency mining.

The embodiment of the present application provides a multi-constraint attitude planning method for a fixed sailboard satellite in Earth-Moon space, which can solve the technical problem of poor multi-constraint attitude planning capability of a fixed sailboard satellite in Earth-Moon space. The method includes: determining the satellite state quantity at each moment in a preset time period according to the initial value of the orbit; obtaining the sun vector and the earth vector according to the satellite state quantity, and then obtaining the vector angle at each moment; obtaining the target normal vector and the target charging efficiency according to the normal vector and charging efficiency of the dual solar sailboards, and then obtaining the body angle; confirming the ideal time point based on the first preset condition according to the vector angle and the body angle, and then calculating the ideal satellite attitude angle; obtaining the attitude maneuvering time according to the ideal satellite attitude angle and the preset safety index, and iterating according to the preset functional constraint index to obtain the optimized attitude angle. In this way, by separating the attitude angle and the maneuvering time, the multi-constraint attitude planning of a fixed sailboard satellite in Earth-Moon space is realized.

The present invention discloses a method and system for establishing a unified model of deep space solar wind plasma density based on Q learning, and the method comprises the following steps: S1, obtaining the electron density of the earth's ionosphere; S2, obtaining the electron density of solar wind plasma; S3, determining the boundary range between the earth's ionosphere and deep space and the sample points in the range, solving the optimal solution of the Gaussian kernel function parameter σ in the local weighted regression operation based on Q learning; S4, substituting the optimal solution of σ into the Gaussian kernel function, performing a local weighted regression operation on the samples in the boundary range, obtaining the predicted plasma density value at the sample point, and then obtaining the unified model of deep space solar wind plasma density. The present invention successfully solves the problem of the inconsistency of the solar wind plasma density model, and significantly improves the smoothness and accuracy of the electron density model at the boundary between the earth's ionosphere and deep space.

Provide a system. 【Solution means】 Solar energy data acquisition means, Information cleaning means for preprocessing the obtained information, Inference means having a machine learning algorithm for analyzing and predicting data, Visualization generation means for visualizing the analysis result in three dimensions, Natural language processing device for collecting and summarizing documents, Hypothesis construction means for generating a new hypothesis based on the generated summary, Quantum computing device for realizing high-precision simulation calculations, Notification generation means for distributing solar wind influence information as a warning on a digital terminal, A system including the above.

The application provides a field detection method and system for the heat transfer coefficient of an external wall based on infrared thermal imaging technology, which uses an infrared thermal imager to non-contact and fast scan the external wall, efficiently obtains an initial temperature distribution, saves time and effort, constructs a dynamic environment correction mechanism, collects 12-hour wall temperature and solar, wind speed and other data, extracts phase difference characteristics, uses amplitude and phase spectrum to correct coefficients and phase offsets in real time, accurately eliminates the lag interference of solar radiation and wind speed fluctuation, makes the temperature data more real, and calculates the heat transfer coefficient based on the corrected temperature data, so that the result is accurate and reliable, can provide key basis for building energy saving reconstruction and judging whether the standard is met, is suitable for different environments and external wall types, has strong universality, and helps building industry energy saving evaluation and quality control.

The invention provides a geosynchronous orbit high-energy electron flux forecasting method, a geosynchronous orbit high-energy electron flux forecasting model and a model construction method, and relates to the field of electron flux forecasting. The geosynchronous orbit high-energy electron flux forecasting method comprises the following steps: constructing a geosynchronous orbit high-energy electron flux forecasting model; inputting a time point T, a space coordinate of a space point in a radiation band and an average solar wind speed in a time range of [T-a hours, T-b hours] into the geosynchronous orbit high-energy electron flux forecasting model; calculating the flux of high-energy electrons passing through a space point at the height of the geosynchronous orbit in a calm period; and judging whether the spatial point at the height of the geosynchronous orbit is in the violent time or not, and outputting the high-energy electron flux passing through the spatial point at the height of the geosynchronous orbit in the calm period or the violent time. According to the high-energy electron flux forecasting method provided by the invention, the calm period or burst time flux forecasting mode can be automatically switched, and the forecasting precision under different geomagnetic activity conditions is remarkably improved.

The invention discloses a robust spline decomposition and extreme value extraction method for a solar wind speed time sequence, and the method comprises the steps: selecting n node positions in a generated time index according to a preset spline node number n through employing a quantile position method, constructing a cubic B-spline primary function, and forming a spline primary function; then, adopting a Huber loss function to realize robust fitting, dynamically reducing the weight of an abnormal point through iterative optimization, extracting a stable trend term, and setting an extreme value judgment threshold value by utilizing the absolute median difference of a residual error to accurately recognize abnormal fluctuation; the finally output decomposition result comprises a smooth trend item, an extreme fluctuation item and a weight vector; the above decomposition result can effectively distinguish the long-term trend and extreme events in the solar wind speed time sequence, improves the recognition capability of solar wind background analysis and space extreme weather, and is suitable for space weather forecast and disaster risk assessment.

The present invention relates to the field of solar lamps, and provides a solar wind-rotating lamp. The solar wind-rotating lamp includes a support rod, at least one solar box, and a wind-rotating bracket arranged on the solar box, where at least one lamp source is arranged on the solar box and / or the wind-rotating bracket, a solar assembly is arranged on the solar box. The wind-rotating bracket, the solar box, and the lamp source form a rotating body, a good light effect is achieved in a rotation process, and the whole wind-rotating lamp is stable and not prone to overturning; and the support rod is also not prone to deformation, and higher in aesthetic property of structure, so that technical problems of insufficient aesthetic property and low stability during wind-rotating, of the wind-rotating lamp are solved.