44 results about "Cloud water" patented technology

The invention discloses an inversion method for microphysical parameters of liquid cloud. The inversion method mainly includes the following process: according to radar reflectivity factors provided by a millimeter waves cloud radar, based on the optimal estimation theory, adopting an empirical formula calculation value as a prior value, assuming that particle spectrum submits to logarithmic normal distribution, a function relationship of radar reflectivity factors and liquid cloud physical parameters is established, and the inversion optimal solution is obtained in a condition when the difference value weighing of to-be-inverted parameters, the prior value, the radar reflectivity factors and function calculation value achieves the minimum value. Besides, according to an error transmission theory, uncertainty of liquid cloud microphysical parameters is calculated. The invention can make up a shortcoming of poor adaptability of a traditional empirical formula. Also, besides, common cloud particle diameter and cloud water content, particle concentration and distribution width can also be obtained; the inversion result is more comprehensive. Since the radar reflectivity factor in real time monitoring is adopted for prior value calculation, the inversion result accuracy is improved.

A system and method for providing a statistical measure of the size of liquid water droplets in a cloud, as well as a system and method for the detection and / or measurement of the presence of a cloud, liquid water content in the cloud and ice water content in the cloud, among other parameters.

A system for detecting the presence of ice crystals in a cloud comprising two thin walled semicylinder-shaped sensors, one having a concave inner surface and oriented longitudinally in a leading edge of an airfoil and the other having a convex outer surface being oriented longitudinally in the leading edge of the airfoil so that cloud water flows towards and into contact with the convex outer surface; a temperature controlling arrangement for heating the two sensors and maintaining them at a substantially constant temperature; and a comparison arrangement for finding a difference between (i) a power to maintain the temperature of the first sensor at its substantially constant temperature (ii) a power to maintain the temperature of the second sensor at its substantially constant temperature; and comparing the difference of the powers to a threshold value for evidencing the presence or predetermined amount of ice in the cloud water.

The invention relates to a method for assimilating cloud-to-ground lightning data through physical initialization. The method comprises the following steps that (1), three-dimensional agent radar echoes converted through the lightning data are screened in the vertical direction to obtain the maximum echo reflectivity factor Ze; (2), precipitation intensity RR'obs is obtained according to a formula, and the precipitation intensity is converted into the precipitation flux mode RRobs; (3), the cloud top height is set to be the top height of the three-dimensional agent radar echoes, cloud bottom height is approximately substituted by the isentropic condensation level of a background field; (4), vertical ascending velocity in a cloud is expressed; (5), when the precipitation intensity RR'obs is smaller than the area of 0.1, the vertical velocity is kept consistent with that of the background, specific humidity and the cloud water content are not changed, the cloud water content is set to be zero, maximum relative humidity cannot exceed 80 percent, and when the precipitation intensity RR'obs is larger the area of 0.1, the specific humidity and the cloud water content are adjusted. The method can effectively improve nowcasting precision of a mode on a severe convection system.

The invention provides a cloud water reduction and rain enhancement scale prediction method. The method includes the steps that 1, the cloud water reduction scale is predicted; 2, the positions of a rain reduction region and a rain enhancement region are determined; 3, the cloud water migration operation scale and the number of needed devices are measured and calculated; 4, a floating platform is arranged; 5, a floating large-diameter pipeline is arranged; 6, cloud water migration operation is performed. By the application of the technology, input and output port differential pressure and an artificial flow guiding technology, vapor in clouds moves to fixed points in a quantification and orientation mode, precipitation redistribution is achieved, and disaster reduction and environmental improvement dual-factor artificial influence weather is achieved.

A system for detecting the presence of ice crystals in a cloud comprising two thin walled semicylinder-shaped sensors, one having a concave inner surface and oriented longitudinally in a leading edge of an airfoil and the other having a convex outer surface being oriented longitudinally in the leading edge of the airfoil so that cloud water flows towards and into contact with the convex outer surface; a temperature controlling arrangement for heating the two sensors and maintaining them at a substantially constant temperature; and a comparison arrangement for finding a difference between (i) a power to maintain the temperature of the first sensor at its substantially constant temperature (ii) a power to maintain the temperature of the second sensor at its substantially constant temperature; and comparing the difference of the powers to a threshold value for evidencing the presence or predetermined amount of ice in the cloud water.

The invention provides a method and system for manually influencing weather. The system comprises an integrated floated pipeline, a floated platform and a system remote control platform. The integrated floated pipeline is used for cloud water collecting, conveying and seeding, and in other words, the integrated floated pipeline is used for cloud water collecting, conveying and rainfall catalyst seeding so that rainfall can be generated. The floated platform is used for hanging and drawing the integrated floated pipeline and is suspended on a mooring table though a mooring guy in a fixed point mode. The system remote control platform is used for floated platform lifting, pipeline connection, separation, rainfall catalyst seeding and ground control of working environment observation and monitoring, and is used for improving the manual cloud water migration work efficiency, recording data and improving safety guarantees. The researched and developed light, high-strength and large-drift-diameter pipeline is applied, and 67.4 tons of cloud water can be migrated per hour on average through the single pipeline. By means of the input and output port pressure difference and the manual diversion technology, fixed-point, quantitative and directional movement of moisture in cloud is achieved, redistribution of rainfall is achieved, and weather can be manually influenced through dual factors including disaster reduction and environment improvements.

The invention provides a method and a system for artificially influencing weather. The method comprises the following steps: step 1, predicating cloud water reduction scale; step 2, determining a rain reduction area position and a rain increase area position; step 3, measuring and calculating the cloud water transfer operation scale and quantity of required equipment; step 4, arranging a suspended platform; step 5, arranging a suspended large-drift-diameter pipeline; and step 6, carrying out cloud water transfer operation. According to the method, the light-weight, high-strength and large-drift-diameter pipeline is used, so that 67.4 tons of water can be transferred each hour by a single pipe; an input-output port pressure difference technology and an artificial diversion technology are utilized, so that fixed-point, quantitative and directional movement of water vapors in cloud is realized, precipitation redistribution is realized, and the weather is artificially influenced by two factors, namely disaster reduction and environmental improvement.

The invention discloses an MWHTS clear sky observation brightness temperature selection method based on cloud water content inversion, and the method comprises the steps: building the matching data ofan MWHTS observation brightness temperature and a climate data set in time and space, calculating a corresponding MWHTS simulation brightness temperature, and forming an analysis data set and a verification data set; taking the cloud water content 0 in the analysis data set as a strict clear sky threshold, selecting the MWHTS strict clear sky observation brightness temperature, and adjusting thestrict clear sky threshold by taking the calculation precision of the MWHTS simulation brightness temperature under the strict clear sky as a standard to form a corresponding clear sky threshold; based on the analysis data set and the BP neural network, establishing an optimal inversion model of MWHTS observation brightness temperature inversion cloud water content; using the MWHTS observation brightness temperature in the verification data set to invert the cloud water content, and selecting the MWHTS clear sky observation brightness temperature according to the cloud water content inversionvalue and the clear sky threshold. According to the method, the MWHTS observation brightness temperature can be directly utilized to realize effective selection of the MWHTS clear sky observation brightness temperature, the accuracy is high, and the operation is simple and feasible.

The invention discloses an MWHTS simulation brightness temperature calculation method based on a deep neural network. The MWHTS simulation brightness temperature calculation method comprises the steps: establishing a matching data set of an MWHTS observation brightness temperature and a climate data set in space and time; dividing the matching data set into a clear sky data set, a cloud data set and a rain data set according to the cloud water content, and respectively forming a corresponding analysis data set and a corresponding verification data set; training a deep neural network model by utilizing the three analysis data sets, inputting atmospheric parameters in the corresponding verification data sets into the trained deep neural network model, and calculating MWHTS simulation brightness temperature; inputting the atmospheric parameters in the three verification data sets into a radiation transmission model to calculate the MWHTS simulated brightness temperature, comparing the calculation precision with the MWHTS simulated brightness temperature calculation precision based on the deep neural network, and selecting MWHTS channels with higher precision to form an MWHTS simulatedbrightness temperature calculation result. According to the method, the interaction between microwaves and atmospheric molecules is modeled by using the deep neural network, the calculation precisionhigher than that of a business radiation transmission model RTTOV is obtained, and the operation is simple and easy to implement.

The invention discloses an intelligent cloud water culture control system, which comprises a glasshouse provided with a water culture device, an information acquisition module for acquiring various data of the water culture device and the glasshouse, a function module for enabling the water culture device and the glasshouse to provide the best growth environment needed by plant growth, an automatic control system, a cloud server, a remote terminal, and a wireless communication network. The system of the invention is different from the traditional soil culture, problems of the soil structure, the fertility, accumulated harmful residues and frequent diseases and pests derivative from the coil culture can be solved, the plant growth period can be shortened, the soil space utilization rate is maximized while the plant yield and the quality are improved, the unattended and remote monitoring work can be realized, and a large amount of human resources is saved.

The invention discloses an atmospheric parameter measuring device for sounding. The atmospheric parameter measuring device for sounding comprises a cone top, a balance rod, an upper propeller, a lowerpropeller, a transmission module, a speed increasing module, a direct-current generator, a material-carrying shell, an inertial power generation module, a wireless energy-carrying communication module, a sensor carrier station, a base, an airbag and a low-power sensor. Through the technical scheme of the atmospheric parameter measuring device for sounding, wind energy, microwave, inertia and solar energy can be used for generating electric energy to ensure the power supply of the carried low-power sensor, so that the measuring device generates electric energy both day and night, and the working state of the carried low-power sensor is ensured so as to conveniently measure the temperature, humidity, wind speed, intensity of pressure and cloud water particle morphology parameters at the current position; the lift force provided by the rotation of the two propellers enables the measuring device to float in the air and fly, the atmospheric parameter measuring device is compact in size andlight in weight, the low-power sensor can be conveniently carried to perform large-scale sounding atmospheric parameter measuring experiment, and meanwhile, the floating in the air and flying state of the measuring device can be controlled in the reverse direction.

The invention discloses a forest fire detection method, which comprises the steps of acquiring a high-resolution visible light image and a low-resolution infrared light image of a detection area by using a satellite remote sensing technology; performing pixel registration on the low-resolution infrared light image by taking the high-resolution visible light image as a reference to obtain a registered image; performing pixel type judgment on each pixel in the registered image to obtain a target image of a known pixel type, wherein the pixel types comprise cloud pixels, water pixels and non-cloud water pixels; traversing pixels in the target image by using a sliding window with a preset size, and judging whether a central pixel of each window is a fire point or not; and obtaining position information of a forest fire occurrence place according to position information corresponding to the pixels judged to be the fire points. The problem of relatively low accuracy of the existing forest fire detection method is solved.

The invention relates to a two-stage cloud water collector and collection method based on impact and cyclone cutting. The two-stage cloud water collector comprises an impact sampling head and a cyclone cutting sampling head, wherein the impact sampling head comprises a collecting head and an impactor, a nozzle is arranged at the bottom of the collecting head, the impactor comprises an impact section and an air outlet pipe which are integrally formed and are connected and communicated with each other, a plurality of impact pipes are distributed in the impact section, the nozzle is inserted intothe impact section and is in sealing connection with the impact section, a large-particle-size droplet storage pipe extending outwards is arranged on the side wall of the air outlet pipe and is connected to a large-particle-size droplet storage bottle, and the bottom of the air outlet pipe is connected and communicated with the cyclone cutting sampling head. The collector can effectively collectfine particles and simultaneously collect droplets of large and small two-stage particle sizes to realize separation and simultaneous sampling of cloud and atmosphere, thereby eliminating the influence of dissolved gaseous pollutants on a cloud water sample, and achieving the purpose of two-stage sampling of gaseous pollutants.

The invention relates to a cloud water collection device and a cloud water collection method. The cloud mist water collection device comprises at least one cloud mist water collector; a controller, which is configured to control at least one cloud water collector, wherein each cloud water collector comprises a shell, and the shell is provided with an inlet, an outlet and a hollow cavity located between the inlet and the outlet in the longitudinal direction; and at least one cloud water collecting net, each of which can be arranged in the hollow cavity, and the upper end of each cloud water collecting net inclines towards the inlet, so that an acute included angle is formed between the windward side of each cloud water collecting net and the longitudinal center line of the hollow cavity; and a fan, which is positioned at the downstream of the cloud and mist water collecting net and is close to the outlet of the shell, and the fan is variable in speed. According to the cloud and mist water collecting device, the variable-speed fan, the cloud and mist water collecting net capable of being electrically heated and the modular cloud and mist water collector are adopted, so that the collecting function of the cloud and mist water collecting device is greatly expanded.

The invention discloses an infrared brightness temperature simulation method fusing a numerical mode and satellite microwave cloud inversion data, and relates to the field of atmospheric science research, and the method specifically comprises the following steps: 1) preprocessing WRF numerical simulation data and satellite ATMS microwave cloud inversion data; 2) performing quality control on satellite ATMS microwave cloud inversion data; and 3) performing data fusion on the WRF numerical simulation data and the satellite ATMS microwave cloud inversion data after quality control to obtain a fusion analysis field of atmospheric cloud water, cloud ice and rainwater; and 4) extracting atmospheric conventional elements of the numerical simulation data and atmospheric cloud water substance elements of the fusion analysis data as vertical profiles, taking the vertical profiles as input profiles of a radiation transfer model (CRTM), calculating a satellite infrared simulation brightness temperature on each lattice point, and converting a satellite infrared simulation brightness temperature value to a CrIS view field by adopting a view field matching technology of CrIS observation and lattice point data. According to the invention, the simulation level of the clouded region is improved.

The invention discloses a method for determining the potential of artificial precipitation enhancement, and belongs to the field of weather modification. The method, by selecting three essential elements for cold cloud catalysis, namely liquid water content, ground precipitation and near-surface atmospheric particulate matter concentration, establishes an index system for determining the atmospheric microphysical operation potential of artificial precipitation enhancement. The method uses the real-time observation data in a process of precipitation as an analysis basis of the precipitation enhancement potential, so as to be accurate and objective in the determination of the potential of the artificial precipitation enhancement. The observation data is simple and easy to obtain so that theartificial precipitation enhancement decision is more scientific and practical. The method is an effective method to effectively protect and fully develop the air cloud water resources under a currentair pollution situation.

The invention discloses a method for testing sensitivity of MWHTS to sea surface air pressure based on a neural network, and belongs to the technical field of microwave remote sensing. The method comprises the steps of establishing a matching data set of MWHTS observation brightness temperature and an atmospheric parameter set in space and time; by respectively taking the atmospheric parameters in the matched data set and the MWHTS observation brightness temperature as input and output of the neural network, training the neural network, and establishing a simulated brightness temperature calculation model based on the neural network; by taking the cloud water content as a reference value, selecting a set of clear sky atmosphere parameters, a set of cloud atmosphere parameters and a set of rain atmosphere parameters in the matched data set, and respectively constructing a clear sky test data set, a cloud test data set and a rain test data set; respectively inputting the clear sky test data set, the cloud test data set and the rain test data set into the simulated brightness temperature calculation model based on the neural network to obtain change relations of clear sky simulated brightness temperature, cloud simulated brightness temperature and rain simulated brightness temperature along with sea surface air pressure.

The invention discloses a laser radar system for detecting a cloud phase state and cloud water content. The laser radar system comprises a laser emitting system, a receiving system, a polarization and spectrum analysis system and a data acquisition processor. The detection method comprises the following steps: 1, detecting and obtaining four paths of atmosphere back scattering echo signal power, 2, calculating and obtaining a Raman method inversion extinction coefficient and an atmosphere back scattering circle depolarization ratio, 3, calculating an integral back scattering coefficient and an integral depolarization ratio of a cloud layer, and 4, judging the cloud layer condition and respectively calculating the cloud water content and the ice water content. According to the method, the cloud phase state is identified according to the depolarization ratio value and the extinction coefficient value, and high-precision identification of the cloud phase state and high-precision evaluation of the cloud water content are realized.

The invention discloses an all-weather assimilation method of an infrared hyperspectrum. The method comprises the following steps: collecting background field cloud water profile information by using a non-static water-carrying forecasting mode; obtaining cloud radiance and cloud cover information contained in the channel; carrying out sparse processing on an observation view field, carrying out principal component reconstruction on a water vapor channel, reducing the noise level of the channel, and processing the processed observation by using a variational deviation correction method; carrying out initial quality control and classification on the view field, calculating a cloud observation error for a middle-upper troposphere water vapor channel of the cloud view field by using a cloud scene all-weather R model, carrying out assimilation calculation, calculating a preliminary analysis field for other channels through a variational quality control method, and then carrying out assimilation calculation; processing the analysis field through a variational deviation correction method, and carrying out the previous step; and repeating until the optimal analysis field is calculated. According to the invention, weather forecast can be accurately carried out on all-weather weather.

The present invention discloses a weather operation method and system. The method includes the following steps that: the current meteorological data of a target area are obtained, wherein the meteorological data include current temperature T0, current humidity H0, and cloud layer parameters; a setting quantity Qs and a cloud water content quantity Q0 are obtained according to the current meteorological data, historical meteorological data, and target weather operation standards; whether the cloud water content quantity Q0 is greater than or equal to the setting quantity Qs is judged, if the cloud water content quantity Q0 is greater than or equal to the setting quantity Qs, the method enters step S4, otherwise, weather operation ends; and the parameters of the weather operation are obtained according to the current meteorological data and the historical meteorological data. According to the method and system of the present invention, the meteorological data are analyzed, so that the weather operation can be accomplished with maximum efficiency.

The invention provides an end-cloud combined cloud water meter reading system capable of being used after being buckled. The system architecture comprises a terminal, a background end and a cloud end, the terminal comprises a user terminal and an intelligent water meter terminal, the intelligent water meter terminal comprises a water meter and a water meter reading management device, and the water meter reading management device can be directly installed on the water meter and used for monitoring water meter reading and uploading data to the cloud end, and a user interacts with the water meter reading management device through the user terminal. According to the end-cloud combined cloud water meter reading system capable of being used after being buckled, the water meter reading management device can be directly arranged on an old water meter, image transmission can be completed through three different communication modes after images are shot, image recognition processing is completed at the cloud end, and water meter reading is obtained; the user can check the water consumption condition analysis, the water consumption prediction, the water meter reading of the resident, the image recognition result of the resident and the water meter state of the resident and make a water consumption target plan; a manager can check all the water meter information within the management authority.

The invention discloses a measuring method for effective range of spraying haze removal. The method includes the following steps: firstly, the mesoscale atmospheric prediction model is introduced intothe liquid droplets produced by the spray as cloud water source term, and an evolution prediction model of mesoscale spray droplets is established by considering the diffusion process of cloud waterand its transformation process to water vapor and rainwater; then, based on the given boundary conditions and the initial meteorological field, the droplet content and its evolution process in the airunder certain spray intensity conditions are simulated; after that, the relationship curve between the haze removal effect and the droplet content in the air was obtained through the indoor experiment, so as to determine the critical droplet content of the spray haze removal; finally, based on the critical droplet content obtained from the experiment, an effective control range is obtained from the simulation results of the mesoscale spray droplet evolution prediction model. The measuring method can quickly and efficiently obtain the effective haze removal range under the specific nozzle performance and layout mode, and provide support and layout optimization for the spray haze removal process.

The invention provides a cloud water jet cutter processing method and system for a message queue, which are applied to a cloud server, and a publisher cluster is arranged on the cloud server. The method comprises the following steps: receiving CAD data sent by a client; sending the CAD data to a database server to enable the database server to create a database queue, and associating the address of the CAD data with the identifier ID of the database queue to obtain associated information; receiving associated information sent by a database server through the publisher cluster, sending the associated information to the subscriber cluster through the Broker cluster, so that the subscriber cluster obtains the corresponding CAD data according to the address of the CAD data in the associated information and analyzes the CAD data, and therefore, the water jet cutter data can be processed in batches, the efficiency is high, and the user experience is improved.

A cloud water resource detecting system and method, the system includes computing device, and Raman lidar, microwave radiometer, millimeter wave cloud radar, wind profile radar and Doppler wind lidar in communication connection with the computing device. The Raman lidar and the microwave radiometer are configured to obtain temperature and humidity data of a cloud system. The millimeter wave cloud radar and the microwave radiometer are configured to obtain cloud water content profiles. The wind profile radar is configured to obtain a horizontal wind speed of the cloud system. The Doppler wind lidar is configured to obtain the vertical motion speed of a cloud bottom. The computing device is configured to calculate the total amount of cloud water according to the temperature and humidity data of the cloud system, the cloud water content profiles, the horizontal wind speed of the cloud system and the vertical motion speed of the cloud bottom.

The invention belongs to the technical field of washing machines, and particularly relates to a splash proof foam-cloud water spray device for a washing machine. The device comprises a water supply pipe covered with a guide cover on the outer side of a foam-cloud water nozzle in the washing machine; and the guide cover is provided with an opening for passing water. In the technical proposal, the guide cover is arranged on the outer side of the foam-cloud water nozzle of the water supply pipe, the foam-cloud water sprayed by the water supply pipe is sprayed in a washing tube by the guiding of the guide cover. The device has the advantages that: the structure is simple, the phenomenon that the water is sprayed outside the washing machine does not exist in the water supplying process, the water is saved, and the safety is good.

The invention discloses a cloud water purifier. The cloud water purifier comprises a shell, wherein a first partition plate, a second partition plate and a third partition plate are arranged in the shell, a water tank is arranged at the upper end of the first partition plate, a cold container and a hot container are arranged at the lower end of the first partition plate, a first pipeline, a pressure pot, a water pump and a cloud set-top box are arranged at the lower end of the second partition plate, two or more filter elements are arranged at the lower end of the third partition plate, and the first pipeline is provided with a high-pressure switch. According to the cloud water purifier, the filter elements are used for carrying out filtering, the cloud set-top box is used for controlling the high-pressure switch and a low-pressure switch so as to stabilize water pressure in the first pipeline, a water inlet electromagnetic valve and a wastewater electromagnetic valve are used for conveying tap water, and the pressure pot can play a role in circulating water, so that the water pump is used for conveying filtered water into the water tank, the stability and safety can be improved, and the service life can be prolonged; and the structure is simple, the design is novel, and thus the cloud water purifier meets market demands and is suitable for being produced on a large scale.

The cooling energy-saving device comprises a water collecting tank and an air pre-cooling device, the water collecting tank seals the inner wall of a tower cylinder, and the air pre-cooling device penetrates through the bottom of the water collecting tank. An inlet in the lower part of the air pre-cooling device is communicated with fresh air entering from the lower part of the tower drum, and an air cap for shielding water drops is arranged at an outlet in the top of the air pre-cooling device. The wet cooling tower comprises a tower drum arranged on the ground; a cooling tower filler, a splashing device and a dehydrator are arranged in the tower barrel from bottom to top, an air inlet is formed in the bottom of the tower barrel, the cooling energy-saving device is further included, and a main body of the cooling energy-saving device is located between the air inlet and the cooling tower filler. The problems that the cooling limit of the wet cooling tower is limited by the environment wet bulb temperature, the cloud water loss is large, and the operation power consumption is high are effectively solved.