23 results about "Cloud seeding" patented technology

A buoyant hydrodynamic pump is disclosed that can float on a surface of a body of water. Wave-driven oscillations result in periodic upward ejections of water inside a downwardly projecting tube that can be collected in a reservoir. Water within such a reservoir may return to the body of water via a turbine, thereby generating electrical power, or the device's pumping action can be used for other purposes such as water circulation, propulsion, dissolved minerals extraction, or cloud seeding.

The invention discloses a rainfall dynamic simulation and regulation method, and relates to the technical field of artificial rainfall management and control, and the method comprises the steps: recognizing a catalyzable cloud layer of a rainfall demand region through a convolutional neural network, and generating a plurality of candidate catalysis regions according to the catalyzable cloud layer; the processing end dynamically simulates the spatial distribution of natural precipitation and post-catalysis precipitation of each candidate catalytic area based on a WRF-Chem model, outputs a selection influence factor for each candidate catalytic area, analyzes the selection influence factor and position information of the candidate catalytic area through the upper layer of the double-layer engine framework, and obtains the spatial distribution of the post-catalysis precipitation; and outputting a catalytic area sorting table by utilizing a lower layer of the double-layer engine framework, selecting a corresponding number of catalytic area information according to a rainfall demand, importing the selected catalytic area information into a large database for scene matching, and outputting an optimal regulation and control strategy for each selected catalytic area based on a genetic algorithm. According to the regulation and control method, rainfall simulation is carried out on each candidate catalytic area, it is ensured that the optimal area is selected for rainfall enhancement operation, and the overall rainfall uniformity and efficiency are improved.

The application relates to the field of artificial rainfall, and relates to a method for artificial rainfall by using silver iodide nanoparticles and a scattering device. The main purpose is to overcome the problems of low nucleation efficiency caused by the dependence of traditional artificial rainfall technology on explosives, low utilization rate of silver iodide and uncontrollable particle size. The main scheme comprises the following steps: generating a pulsed laser beam by a laser generator; adjusting the energy density of the laser beam to 1-100 J / cm 2 , the pulse width is nanosecond to femtosecond level, the pulse repetition frequency is 10-100 kHz, the laser beam is focused on the surface of a silver iodide target material; the transient photo-thermal effect of the laser beam is utilized to cause the silver iodide target material to be non-decomposable gasified to generate silver iodide vapor; the silver iodide vapor is condensed into 10-1000 nm silver iodide nanoparticles in the air through high-altitude low-temperature high-speed airflow to form artificial condensation nuclei; and the silver iodide nanoparticles are released to the top or inside of a target cloud layer to promote the condensation of water vapor in the cloud and the formation of precipitation.

The invention discloses methods and a composition for cloud seeding utilizing magnesium carbonate (MgCO3) particles as ice nucleating agents to enhance precipitation. The sub-micron to nano-sized MgCO3 particles, with lattice parameters approximating a ≈ 4.64 Å, b ≈ 4.64 Å, and c ≈ 14.93 Å, are introduced into the atmosphere via aircraft, generators, or rockets. Preferably bio-engineered through a green CO2 conversion process, these particles reduce carbon footprint, pose no environmental hazards per SDS regulations, and serve as plant nutrients. The invention extends to ice nucleation in artificial rain and ice recovery methods, offering a sustainable alternative for drought mitigation and climate change efforts.

This invention provides an aircraft material delivery system, comprising: a material storage compartment for storing materials; and a material delivery compartment, including a traction component and a pressure plate component. The traction component is connected to the materials in the material storage compartment. Under the action of the traction component, the materials are conveyed from the material storage compartment to the material delivery compartment, and under the action of the pressure plate component, the materials are delivered to the outside of the material delivery compartment. The material delivery system provided by this invention has a simple and reliable structure, low power consumption, and good expandability of the material compartment. It can be used not only for the delivery of materials for electronic countermeasures chaff interference, but also for the delivery of materials for artificial weather modification (artificial rainmaking), and for the delivery of seeds and fertilizers for large-scale agricultural applications. Moreover, the equipment compartment can be installed inside the aircraft fuselage as needed, or externally mounted on the fuselage belly or under the wing, truly achieving multi-purpose functionality.

The application belongs to the field of electric digital data processing, and particularly relates to a cold cloud aircraft cloud broadcasting condition intelligent identification method and system, which comprises the following steps: obtaining detection data and performing preprocessing; embedding position coding and season coding on the basis of the preprocessed data, obtaining embedded feature data through an activation layer and a discard layer; establishing an adjacent matrix of a graph structure according to the dimension of the embedded feature data, taking a parameter as a node of the graph structure, traversing the embedded feature data, updating an edge weight and aggregating a node vector at each time, and obtaining spatial feature data after traversing the sample; traversing the embedded feature data, jointly inputting the embedded feature data and the spatial feature data at each time into a long short-term memory unit to obtain a time feature representation at the time, and outputting time feature data after traversing the complete sample; aggregating the time feature data and the spatial feature data through a feature aggregation unit to obtain spatiotemporal feature data; and classifying the spatiotemporal feature data based on a classifier to obtain a discrimination result.

A buoyant hydrodynamic pump is disclosed that can float on a surface of a body of water over which waves tend to pass. The pump incorporates an open-bottomed tube with a constriction. The tube partially encloses a substantial volume of water with which the tubes constriction interacts, creating and / or amplifying oscillations therein in response to wave action. Wave-driven oscillations result in periodic upward ejections of portions of water inside the tube that can be collected in a reservoir that is at least partially positioned above the mean water level of the body of water, or pressurized by compressed air, gas, or both. Water within such a reservoir may return to the body of water via a turbine, thereby generating electrical power (making the device a wave engine), or else the devices pumping action can be used for other purposes such as water circulation, propulsion, or cloud seeding.

The present application relates to the technical field of unmanned aerial vehicle flight path optimization, in particular to a rain enhancement environment detection path optimization method based on unmanned aerial vehicle. The method comprises: obtaining a target airspace three-dimensional grid set and initial atmospheric background field data; the unmanned aerial vehicle collects real-time data of supercooled water content, vertical air flow velocity and cloud droplet number concentration; based on the initial background field, the Gaussian process regression prior parameters are configured and the joint prediction distribution is updated with real-time data; the joint prediction distribution is transformed into a rain enhancement catalyst potential prediction mean and information entropy variance through a nonlinear activation function probability density; a collection function is constructed by fusing potential benefits and path energy consumption costs, and the maximum value of the collection function is used as the next target point iteration detection until the best catalyst area is locked. The present application realizes efficient and low-energy dynamic path optimization under the constraint of limited on-board fuel, significantly improves the cloud seeding window positioning accuracy and operation success rate.

A buoyant hydrodynamic pump is disclosed that can float on a surface of a body of water over which waves tend to pass. The pump incorporates an open-bottomed tube with a constriction. The tube partially encloses a substantial volume of water with which the tubes constriction interacts, creating and / or amplifying oscillations therein in response to wave action. Wave-driven oscillations result in periodic upward ejections of portions of water inside the tube that can be collected in a reservoir that is at least partially positioned above the mean water level of the body of water, or pressurized by compressed air, gas, or both. Water within such a reservoir may return to the body of water via a turbine, thereby generating electrical power (making the device a wave engine), or else the devices pumping action can be used for other purposes such as water circulation, propulsion, or cloud seeding.

A buoyant hydrodynamic pump is disclosed that can float on a surface of a body of water over which waves tend to pass. The pump incorporates an open-bottomed tube with a constriction. The tube partially encloses a substantial volume of water with which the tubes constriction interacts, creating and / or amplifying oscillations therein in response to wave action. Wave-driven oscillations result in periodic upward ejections of portions of water inside the tube that can be collected in a reservoir that is at least partially positioned above the mean water level of the body of water, or pressurized by compressed air, gas, or both. Water within such a reservoir may return to the body of water via a turbine, thereby generating electrical power (making the device a wave engine), or else the devices pumping action can be used for other purposes such as water circulation, propulsion, or cloud seeding.

This invention relates to a method for measuring the number of raindrops of different sizes in artificial rainfall, comprising: measuring the flow rate through a pipeline using a flow meter; rain falling on filter paper produces colored spots of varying sizes, and by measuring the diameter of the colored spots, the corresponding raindrop size is calculated; by statistically analyzing the particle sizes on the filter paper, the proportion of the corresponding number of raindrops is determined, i.e., the raindrop size distribution in artificial rainfall; and the number of raindrops is calculated. The measurement method of this invention has a clear principle, is simple to operate, and has low cost, enabling the measurement of the number of raindrops of different sizes in artificial rainfall per unit time, and simultaneously enabling the measurement of the raindrop size distribution in artificial rainfall.

The application discloses an array type artificial rainfall and snow device and method based on positive and negative charged particles, and belongs to the field of weather modification. The device comprises a high-voltage electrode array, a data acquisition module and a centralized control module. The high-voltage electrode array comprises positive high-voltage electrode units and negative high-voltage electrode units, which are used for generating positive and negative charged particles respectively. The positive high-voltage electrode units and the negative high-voltage electrode units are alternately arranged to form an array. The data acquisition module is used for monitoring and collecting environmental data of the working area of the high-voltage electrode array in real time, and the environmental data comprises charged particle concentration. The centralized control module is used for adjusting the working voltage or current of the positive high-voltage electrode units and the negative high-voltage electrode units, so as to adjust the charged particle concentration and make the working area continuously rain and snow. The application can reduce the accumulation of single polarity charge, get rid of the restraint of ground fixed erection, and realize flexible and efficient artificial rainfall and snow in a large space range and various terrain environments.

Provided is a method for analyzing an effect of a hygroscopic seeding material sprayed through an airborne cloud seeding experiment on ground aerosol concentrations, including the steps of: inputting information of meteorological fields and seeding spraying of the airborne cloud seeding experiment to a numerical cloud seeding model to execute a numerical simulation; calculating a mass concentration of the hygroscopic seeding material on ground, based on results of the numerical simulation; and calculating a contribution degree of the hygroscopic seeding material to mass concentrations of aerosols, based on comparison between the calculated mass concentration of the hygroscopic seeding material and the mass concentrations of the aerosols observed on an execution date of the airborne cloud seeding experiment.

A buoyant hydrodynamic pump is disclosed that can float on a surface of a body of water over which waves tend to pass. Embodiments incorporate an open-bottomed tube with a constriction. The tube partially encloses a substantial volume of water with which the tube’s constriction interacts, creating and / or amplifying fluid-flow oscillations therein in response to wave action. Wave-driven oscillations result in periodic upward ejections of portions of the water inside the tube that can be collected in a reservoir that is at least partially positioned above the mean water level of the body of water, or pressurized by compressed air or gas, or both. Water within such a reservoir may return to the body of water via a turbine, thereby generating electrical power (making the device a wave engine), or the device’s pumping action can be used for other purposes such as water circulation, propulsion, dissolved minerals extraction, or cloud seeding. Methods are disclosed for manufacture of hydrogen at sea and for delivery of said hydrogen using a ship. Methods are disclosed for filling a hydrogen-loaded carrier ship at sea.

A method for weather modification and precipitation enhancement can include emitting a pulsed laser beam to promote in-cloud interactions by generating shock and acoustic waves in the cloud. The repetition rate of the pulsed laser can be between about 1 kHz and about 200 kHz, which can be arbitrarily modulated. These interactions can induce convection and turbulence within the cloud, improving the collision-coalescence process and facilitating efficient precipitation in the cloud. Furthermore, the method involves arbitrary modulation of the pulsed laser repetition rate, which can generate acoustic waves of a wide range of frequencies. This capability can initiate acoustic wave agglomeration, in turn enhancing the collision-coalescence process for precipitation. The method can also include steering the beam in a helical or spiral path to increase the scale of the rainfall enhancement. The method, which does not use chemicals, can provide an environmentally friendly alternative to traditional cloud seeding methods for rainfall induction.

The invention discloses a natural disaster risk monitoring system based on a satellite remote sensing image, and relates to the technical field of natural disaster monitoring, and the system comprises a data analysis module which obtains environment data according to a satellite remote sensing platform and a sensor platform, and comprehensively analyzes soil humidity; and the drought risk prediction module is used for analyzing the availability of water resources on the basis of monitoring the water demand of the agricultural region. According to the method, basic data support is provided for climate change analysis through multispectral remote sensing data and sensor platform data, the water resource degree in the current detection area can be visually judged through comprehensive analysis of water resource data, and the water resource degree in the current detection area can be predicted through a time sequence prediction model. The drought risk can be early warned in advance by combining comprehensive water resource availability, multispectral remote sensing data and sensor platform data, cloud layer data are analyzed through remote sensing data, and whether the monitored cloud layer environment of the agricultural area is suitable for artificial rainfall or not is judged by combining the spatial relationship between the cloud layer and the agricultural area.

The invention discloses methods and a composition for cloud seeding utilizing magnesium carbonate (MgCO3) particles as ice nucleating agents to enhance precipitation. The sub-micron to nano-sized MgCO3 particles, with lattice parameters approximating a ≈ 4.64 Å, b ≈ 4.64 Å, and c ≈ 14.93 Å, are introduced into the atmosphere via aircraft, generators, or rockets. Preferably bio-engineered through a green CO2 conversion process, these particles reduce carbon footprint, pose no environmental hazards per SDS regulations, and serve as plant nutrients. The invention extends to ice nucleation in artificial rain and ice recovery methods, offering a sustainable alternative for drought mitigation and climate change efforts.

Provided is a wind blow type ground-based cloud seeding material generator for weather modification, which is capable of perform an experiment for precipitation enhancement through the steps of burning cloud seeding flares on the ground, vertically and horizontally dispersing the seeding materials, and dispersing the seeding material to clouds or fog to grow water drops and ice crystals, and which makes experiment and management easy through effective vertical dispersion of cloud seeding materials.

An aerial device (10) for cloud seeding. The aerial device (10) is configured to fly autonomously and comprises four rotors (12) configured to provide lift, propulsion, and stabilization. The aerial device (10) includes a payload (14) carried by the aerial device (10). The payload (14) includes a diffuser (15) configured to disperse active particles within cloud cells present in an atmosphere to ensure their seeding.The aerial device (10) also includes a control module (16) configured to control the operation of said aerial device (10), and in particular the diffuser (15), a measuring sensor (18) configured to measure a physical quantity representative of the atmosphere around the aerial device (10), and a communication unit (20) configured to receive a physical quantity from another aerial device (10) and / or transmit the measured physical quantity. Figure to be published with the abbreviation: Fig. 1.

This invention discloses an ensemble evaluation method for artificial cloud seeding effects based on intelligent extrapolation of radar echoes. The method includes acquiring sample radar data, selecting multiple intelligent extrapolation models, training them using preprocessed data, and constructing a model library; constructing an EES ensemble evaluation algorithm, calling the model library to infer the echo results at the time before the operation, and scoring the model performance; selecting high-scoring models to predict the echoes during the operation period, fusing and correcting them to obtain the ensemble prediction results; comparing the ensemble predictions with real-time monitoring data, extracting key physical parameter change characteristics, and quantitatively evaluating the operation effect. This invention solves the heterogeneous adaptation problem of different intelligent extrapolation models for cloud seeding effect evaluation, improves extrapolation accuracy by combining the advantages of multiple models, enhances the accuracy and reliability of the verification results, and provides technical support for the large-scale application of intelligent extrapolation technology in effect evaluation.

The invention relates to a system comprising a plurality of aerial devices (10) for seeding clouds. Each aerial device (10) is configured to fly autonomously and comprises four rotors (12) configured to provide the aerial device (10) with lift, propulsion and stabilization. The aerial device (10) comprises a payload (14) carried by the aerial device (10), comprising a dispenser (15) configured to disperse active particles within cloud cells. The aerial device (10) also comprises a measurement sensor (18) configured to measure a physical quantity representative of the atmosphere around the aerial device (10), a control module (16) configured to control the operation of the aerial device (10) and in particular the dispenser (15) according to the measured physical quantity, and a communication unit (20) configured to receive a physical quantity from another aerial device (10) and / or transmit the measured physical quantity.

This invention relates to the field of UAV flight path optimization technology, specifically to a method for optimizing rain enhancement environment detection paths based on UAVs. The method includes: acquiring a three-dimensional grid set of the target airspace and initial atmospheric background field data; collecting real-time data on supercooled water content, vertical airflow velocity, and cloud droplet number concentration using the UAV; configuring Gaussian process regression prior parameters based on the initial background field and updating the joint prediction distribution with real-time data; obtaining the predicted mean and information entropy variance of the rain enhancement catalytic potential by transforming the joint prediction distribution through a nonlinear activation function probability density transformation; constructing a collection function that integrates potential gains and path energy consumption costs, and iteratively detecting the grid corresponding to its maximum value as the next target waypoint until the optimal catalytic zone is locked. This invention achieves high-efficiency, low-energy dynamic path optimization under limited onboard fuel constraints, significantly improving the positioning accuracy and operational success rate of cloud seeding windows.

A computer implemented method for selective diffusion of acid rain. A number of processor units identifies concentrations of acidic gases using a set of satellite images. The number of processor units locates hot spots on a land using the concentrations of acidic gases. The number of processor units classifies the hot spots on the land into vulnerable zones having vulnerable zone classifications. The number of processor units determines cloud seeding materials and alkaline compounds known for the vulnerable zones to selectively diffuse the acidic gases and cause precipitation in the vulnerable zones based on the vulnerable zone classifications for the vulnerable zones.