398 results about "Sea ice" patented technology

The invention relates to a method for ameliorating a saline and alkaline land, in particular to a method for ameliorating a saline and alkaline land with heavily adhesive soil, which comprises: building raised fields to form a pattern of alternately distributed raised fields and shallow pools; preparing a raised field 1 to make a slope with two inclined sides, applying crushed straw and fermented cow dung on the surfaces of the raised fields, deeply plowing and raking the raised fields flat, wherein the vertical structure of each raised field comprises a bottom water isolating layer, bottom discharge pipes, a top water isolating layer and ridges from bottom up; and pilling sea ice or saline ice in the shallow pools on the surfaces of the raised fields, covering non-woven fabrics or crop straw on the surface of ice piles, and fixing covering materials on the surfaces of the raised fields. The method has the characteristics of high rate of desalination, soil fertility improvement, drought resistance and soil moisture conservation.

The invention discloses a sea ice solid gravity desalinizing method, which comprises the following parts: feed device, gravity desalinization pool, salt water observing pump, product transmitting device and reservoir, wherein the sea ice solid gravity desalinizing method comprises the following steps: fetching sea ice in the gravity desalinizing pool through feed device; discharging bittern in the ice part acted by gravity; collecting solid cryolite; transmitting in the reservoir; melting naturally.

The invention relates to a real-time extracting method of satellite remote sensing sea fog characteristic quantity, daytime EOS / MODIS data is used and is read into a raw data file PDS, the difference of sea fog and low cloud on a spectral characteristic is analyzed in two steps that: firstly, the sea fog and the low cloud are separated, and then, the sea fog characteristic quantity is extracted, namely that a three-level identifying method is adopted to orderly filter high cloud, middle cloud, low cloud, a cloudless water body, a solar flare water body, a cloud shadow area, a sea ice and a snow cover, the sea fog detection is established, a sea fog distributing area is obtained, a file which comprises a sea fog detecting result is generated, then, the sea fog characteristic quantity of the optical thickness of a fog area, the effective radius of fog and a liquid water path are calculated according to a formula, and pictures are displayed on a microcomputer. The method not only extracts the sea fog characteristic quantity, but also can calculate the visibility and the fog top height of the fog, consequently, the quantification detection of the sea fog is realized, and a dissipation forecast of the sea fog supplies meteorological information for air safety above the sea, maritime traffic and coastal airport operation.

The invention discloses a preparing method and equipment of fresh water through large-scale icy sea water, which is characterized by the following: collecting sea ice directly in winter; preparing mutual cascading structure of high and low level pools; making the depth of high-level pool more than the depth of low level pool to enlarge the area of low level pool by 2 times.

The invention relates to implementation of a sea ice parameter extraction method on the basis of a satellite image and a system and belongs to the technical field of computer application. The sea ice parameter extraction method on the basis of the satellite image is characterized in that an algorithm of eliminating warp and weft noise by the satellite image is implemented; image element types are accurately identified and classified; and a land and sea ice boundary and a sea ice and seawater boundary are extracted by a boundary tracing algorithm. On the basis, three parameters, i.e. the sea ice intensity, the sea ice thickness and the sea ice size, in the satellite image are calculated; and a user opens the image at a computer terminal and carries out the operations of preprocessing the image, identifying key elements (sea ice, land, seawater), describing the boundaries, extracting the sea ice parameters and storing a data result. The extraction method is reasonable, efficient and accurate and strong in scientificity; and the system is regular in design, high in reliability and user-friendly.

The present invention relates to a method for detecting sea fog at daytime and night with polar-orbiting meteorological satellite. The polar-orbiting satellite information is used. The original data file is read into. The medium-high cloud, the clear-air water, the solar flare water, the cloud shadow areas, the sea-ice-snow sheets, non-warm low clouds, warm broken low clouds and wind edges are respectively filtered with a three-stage determining method through comprehensively using the multi-channel optical spectrum information, NDVI index, NDSI index and average month SST in thirty years. The sea fog arrangement areas are obtained and the file comprising sea fog detecting result is generated. Namely the image display can be executed on a microcomputer with GRADS drawing software. The method according to the invention separates the sea fog from low cloud thereby realizing the real-time monitoring of sea fog. Effective meteorological information with real time monitoring is provided for the safe flying over sea surface, marine traffic transportation, seaport and coasting airport operation.

The invention relates to the technical field of satellite communication and particularly relates to an acquisition method for sea ice concentration on the basis of the Ocean No. II satellite scanning microwave radiometer. The acquisition method for the sea ice concentration on the basis of the Ocean II satellite scanning microwave radiometer comprises the following steps: according to a first brightness temperature data of a typically characteristic area, a brightness temperature characteristic value is obtained; the typical characteristic area comprises a characteristic area of one-year ice, a characteristic area of multiyear ice and characteristic area of sea water; the first brightness temperature data is acquired through the Ocean II satellite scanning microwave radiometer; according to the brightness temperature characteristic value and a second brightness temperature data of a monitored area, dynamic brightness temperature characteristic value of the monitored area is acquired; the second brightness temperature data is acquired through the Ocean No. II satellite scanning microwave radiometer; according to the dynamic brightness temperature characteristic value of the monitored area, the dynamic sea ice concentration of the monitored area is acquired. The acquisition method for sea ice concentration on the basis of the Ocean II satellite scanning microwave radiometer overcomes the technical problem that the sea ice concentration of a correspondingly monitored area cannot be acquired on the basis of the data acquired by the Ocean II satellite in the prior art.

The invention provides a sea ice thickness measuring system, which comprises a body, wherein the body comprises an electromagnetic inductor, a sonar device and a control unit, wherein the electromagnetic inductor is perpendicular to sea ice and transmits and receives electromagnetic field signals; the sonar machine is perpendicular to the sea ice and transmits and receives sonar signals; and the control unit is in data connection with the electromagnetic inductor and the sonar machine, calculates a first height of an interface between the body and the sea ice and seawater according to the electromagnetic field signals of the electromagnetic inductor, calculates a second height between the body and the upper surface of the sea ice according to the sonar signals, and acquires the thickness of the sea ice by subtracting the second height from the first height. The invention correspondingly provides a method for measuring the thickness of the sea ice. The system and the method for measuring the thickness of the sea ice realize repeated continuous shipboard observation of the large-range sea ice and can precisely measure the thickness of the sea ice.

The invention discloses a drill tool and a method for measuring the thicknesses of sea ice and river ice while drilling. The drill tool comprises a display, a detection control unit, a direct-current motor, a screw drill pipe, a drill bit and a storage battery. A PLC (programmable logic control) module is integrated inside the detection control unit and can collect data measured by a torque sensor and a laser distance measuring instrument, and the drilling torque of the drill pipe and the thickness of an ice layer can be displayed via the display on the upper side of the detection control unit. The drill tool and the method have the advantages that drilling machines and tools can be effectively combined with measurement-while-drilling and automatic detection control measures, the data of the thickness of the sea ice can be acquired in a drilling procedure and can be displayed via the display, accordingly, the sea ice and river ice thickness measuring efficiency is greatly improved, and the labor intensity is reduced; the data are acquired and processed by the PLC module, and sudden change values can be adjusted according to different properties of ice of different regions, so that the detection method is excellent in practicality and applicability when applied to large regions.

The invention discloses global navigation satellite signal reflectometry (GNSS-R) detection equipment for sea ice thickness and a method for detecting the sea ice thickness by utilizing the equipment and belongs to the technical field of ocean monitoring. The detection equipment comprises a GNSS right-handed rotation polarizing antenna, a GNSS left-handed rotation polarizing antenna, a GNSS-R receiver, an industrial computer and a displayer, wherein the GNSS right-handed rotation polarizing antenna and the GNSS left-handed rotation polarizing antenna are erected on an antenna stand; and the GNSS-R receiver, the industrial computer and the displayer are arranged on an operating platform. According to the method, sea ice radiance is obtained by computing GNSS direct power and reflection power, and then, inversion is performed according to a function relationship between the radiance and the sea ice thickness to obtain the sea ice thickness. The detection equipment is small in size, light in weight and low in cost, is convenient to carry and is flexibly used and simply operated in region and airspace. The detection method has the advantages that the sea ice thickness is detected in real time, the precision is high, results are reliable, and the up-to-date performance is powerful.

The invention relates to a dual-system ice layer thickness measuring device and belongs to the technical field of automatic detection. The measuring device has high precision and high durability, is mainly applied to the technical fields of water conservancy, hydrology and the like and is used for the automatic detection on the icing ice layer thickness of river ice, lake ice and sea ice. The dual-system ice layer thickness measuring device is characterized in that the measuring device belongs to the dual-system ice layer thickness measuring device for high-precision forecasting of water conservancy and hydrology ice conditions, and the whole set of measuring device consists of two parts including a transmission system and a measuring system. The dual systems are characterized in that the transmission system consists of two sets of identical lead screw transmission systems which are respectively a front transmission system and a back transmission system, the measuring precision of the measuring device is higher and can reach + / -2mm, and the measuring device belongs to an automatic monitoring device. The measuring device has the advantages that the measuring method is intuitional and is similar to the most common clamping measuring method (such as a caliper rule and a micrometer) in the mechanical industry, and the high-precision measurement of the ice layer thickness is realized. The dual-system ice layer thickness measuring device is suitable for the automatic measurement of the ice layer thickness of nearshore sea ice and riverway river ice or lake ice around a hydrological station.

The invention discloses a floating platform used for operation in ice zone. The floating platform comprises an upper-layer deck, a platform body and upside facilities; the platform body comprises a vessel body with an axisymmetric reversed platform-shaped structure; the area of the water plane connected by the platform body and water is caused to be less than the area of the upper surface of the platform body. The vessel body with the axisymmetric reversed platform-shaped structure is a vessel body with a reversed positively round platform-shaped structure, a vessel body with a reversed positively elliptical platform-shaped structure or a vessel body with an axisymmetric reversed prismatic platform-shaped structure. The shape for floating platform which is easy to smash the sea ice leads the floating platform to have more excellent anti-ice performance of the floating body. The mooring system of the platform is designed to be that: the warping hawser is extended from the bottom of the vessel body to the seabed; the warping hawser is protected by the vessel body and does not directly suffer the effect of the sea ice so that the use reliability and safety of the mooring anchor chain are effectively improved. Under conditions of severe sea ices, the floating platform is characterized by better safety and reliability and can solve the technical problem that the floating body can not operate in severe sea ice zones for a long time.

The invention relates to a high-precision sea surface height extracting method of a radar altimeter through small incidence angle interference. A small incidence angle and short base line interference processing mode is adopted to carry out synchronous interference receiving on echo signals through a main channel and an auxiliary channel, pre-filtering, two-dimensional image processing, image registration, interference processing, multi-vision processing, phase-position denoising filtering, phase position unwinding, water recognizing, classifying, height conversion and geometric correcting processing are carried out on received data in sequence, and a water area height value is obtained. According to the method, the swath width is large, the temporal-spatial resolution is high, the method can be applied to observation of the ocean current, ocean tide, vortex and other meso and micro scale phenomena in the ocean and the observation of the coastal water, the sea ice shelf and the land hydrology.

The invention discloses an ocean oil spill detection laser radar system, which uses good transmission characteristics of laser wavebands in seawater to detect underwater submerged oil and perform high-precision detection on targets such as green tide, sea ice, seabed and the like. According to the system, 532 nm and 1064 nm dual-wavelength high-repetition-frequency laser emission is used for carrying out optical active detection on underwater and overwater targets; two-dimensional scanning of laser radar targets is realized by utilizing an optical scanning system, thereby acquiring three-dimensional positions of the targets; in a laser transceiving coaxial design form, the implementation difficulty of the optical scanning system is lowered; a large-caliber, large-view-field and multi-channel optical receiving system is adopted for enhancing the detection capability of underwater relatively weak targets; a signal processing system with a high sampling frequency is adopted for realizingthe target distance detection of the sub-meter precision; a polarization detection channel is adopted for measuring a target surface depolarization coefficient, so that target distinguishing is facilitated; and a laser radar is provided with an airborne mounting device and a shipborne mounting device, so that the use requirements of different carrying platforms can be met.

The invention discloses a remote sensing sea ice image classification method based on a convolutional neural network. The method solves the problems that a traditional method cannot fully excavate hyperspectral remote sensing sea ice image spatial-spectral characteristics and cannot effectively distinguish different spectral characteristic contribution degrees in combination with a classificationtarget. According to the technical scheme, the method is characterized by comprising the following steps that original data are obtained through an original remote sensing image; a part of samples aremanually marked from the original data as a sample library; a training sample is randomly selected for the input data according to a set strategy; other samples are taken as test samples; training and feature extraction are carried out on a pre-built three-dimensional convolutional neural network model through the training sample, weight adjustment is carried out on extracted features through anextrusion excitation network, and finally a support vector machine classifier is selected to complete classification; and the hyperspectral remote sensing images are detected and classified through the trained and tested three-dimensional convolutional neural network model. According to the method, the existing difficulties can be effectively overcome, and the classification precision of the remote sensing sea ice images is improved.

The invention provides a sea ice thickness measuring apparatus which comprises a body. The body comprises: a sonar device which transmits and receives sonar signal perpendicular to the seawater or sea ice; a laser which transmits and receives laser signal perpendicular to the seawater or sea ice; and a control unit which is in data connection with the sonar device and the laser; wherein, the control unit calculates the first height between the body and the sea ice upper surface according to the sonar signal and the laser signal, calculates the second height between the body and the seawater surface according to the sonar signal and the laser signal, and obtains the ice side height by subtracting the first height from the second height, then calculating the sea ice thickness by using the archimedes law. The invention further provides a sea ice thickness measuring method. The invention realizes the repeatable observation of large-scale sea ice, and can measure the sea ice thickness accurately.

The invention discloses a sea ice surface roughness measuring method based on a line laser. The sea ice surface roughness measuring method comprises the following steps of: S1, erecting a measuring system including a camera and the line laser so as to enable the line laser to be vertically projected to the sea ice surface to be measured, and forming light mark on the sea ice surface to be measured, wherein the lens center of the camera aligns with the light mark; S2, using the camera to take a picture so as to obtain an image of the light mark on the sea ice surface to be measured; S3, processing the image, extracting a bright laser line in the image, and converting the position information of the pixel on the bright laser line into elevation information of a corresponding point on the light mark according to the resolution of the measuring system; and S4, calculating the roughness of the sea ice surface to be measured according to the elevation information. As the line laser is utilized to take the place of spot laser to scan the sea ice surface, the equipment does not need to be adjusted in the measurement process, and the elevation information of the sea ice surface can be obtained through once scanning, so that the measurement time is reduced, and the measurement efficiency is improved.

The invention relates to a sea ice salvaging device rotating by water resistance and a using method thereof. The sea ice salvaging device is characterized in that both sides of a ship body are respectively provided with a rotated salvaging device which mainly comprises a salvaging bucket frame, a plurality of salvaging buckets, a shaft seat and a fixed frame, wherein the salvaging buckets are uniformly distributed and fixed on the salvaging bucket frame. Along with the travelling of the ship body, the salvaging buckets under water can rotate around a central shaft in the direction opposite to the travelling direction of the ship body by the water resistance. Trash ice floating on the water is firstly salvaged by the salvaging buckets immersed in the water, when the salvaging buckets with the trash ice rotates above the ship body, the trash ice in the salvaging buckets slides into the shape body along an inclined plane through a trash ice sliding plate on the shaft seat. The sea ice salvaging device not only can salvage sea ice far away from a shore, but also salvage the sea ice on the shore. The sea ice salvaging device is driven to rotate by the water resistance when a ship travels and depends on the inclined plane to cause the trash ice to drop into the ship, and therefore, the power source during the travelling of the ship body is only consumed.

The present invention relates to a polar sea ice type remote sensing monitoring method for extracting high-resolution sea ice type from passive microwave remote sensing images of the Arctic by using asuper-division technique, in particular to a high-resolution sea ice type extracting method based on the super-division technique. The invention is characterized in that the passive microwave image is firstly superdivided and reconstructed, and then the sea ice type is extracted based on the obtained high-resolution superdivided image. The invention utilizes the strategy of super-resolution reconstruction, firstly, the passive microwave remote sensing image of the polar sea ice is super-reconstructed to obtain a higher-resolution image, and then the high-resolution extraction of the polar seaice type is further realized on the basis of the super-resolution reconstruction.

The invention discloses a sea ice calculating method of using a marine navigation simulator to simulate a ship-ice interaction process. The sea ice calculation is divided into an ice breaking calculation module and a rigid body motion module according to current sea condition information, and sea ice force, sea ice brash ice shapes, and sea ice motion states during an ice breaking process are calculated and analyzed, and then generated results are transmitted to a ship motion model and an ice area visual system. The sea ice calculating method is used to fill in the blank of the sea ice calculating method of the marine navigation simulator, and a semi-infinite plane elastic foundation theory, a tapered beam structure, and an energy conservation theory are used in the corresponding modules, and then brash ice forming conditions, brash ice bending stress, and brash ice energy distribution and motion states are calculated. Sea ice physical characteristics are well displayed in the ice area simulation visual system of the marine navigation simulator, and the sea ice calculating method is used as a physical foundation of ship-ice interaction process visualization, the ice breaking process is dynamically and vividly simulated, and then reliable sea ice stress feedback is provided for a ship motion model.

The invention discloses a remote sensing estimation method for the thickness of sea ice. The remote sensing estimation method comprises the steps that a ground echo waveform is obtained from a CryoSat-2 radar altimeter, a raw echo waveform is fit through a composite cubic Bezier curve, the position of a waveform re-tracking point is solved, the freeboard height of the sea ice is calculated, and meanwhile, data such as the accumulated snow depth and the sea ice type in the same period are obtained; the data are subjected to geographical coordinate matching to obtain point data containing the freeboard height of the sea ice, the accumulated snow depth and the sea ice type; different sea ice densities are given to one-year ice and multiyear ice, by combining the accumulated snow density withthe seawater density, the thickness of the sea ice is estimated through a hydrostatic model, and finally a sea ice thickness distribution diagram in a study area is obtained through projection transformation, raster conversion and space resampling. According to the remote sensing estimation method, a novel waveform re-tracking method, namely a composite cubic Bezier curve fitting method, is adopted, the problem that an original method is sensitive to the surface characteristics of ground features is solved, and thus the estimation accuracy of the thickness of the sea ice is improved.

The invention belongs to the technical field of computer application, and discloses a sea ice-sea structure interaction discrete element high-performance simulation system. By the adoption of three steps, the sea ice-sea structure interaction discrete element high-performance simulation system simulates sea ice and sea platform structure action, and the simulation includes the steps of model establishment, numerical value computation and result display. A user can directly set sea ice and sea structure parameters at a computer terminal in an interaction mode, and ice loads, vibration response and other mechanical properties of the structure and a visual three-dimensional result animation of the structure are accurately and efficiently obtained. In this way, based on a GPU discrete element numerical value, the sea ice-sea structure interaction discrete element high-performance simulation system has actual guidance meaning for structural design and fatigue analysis of an ice zone sea platform. The system is suitable for multiple research fields, involving sea ice and sea structure interaction, of environment, weather, hydrology, industry and scientific research, an interface is user-friendly, the design is standard, and good user experience is achieved.

The invention discloses a sea ice microwave remote sensing monitoring system which comprises a GNSS signal source, an RADARSAT signal source, a GNSS-R receiver, a mobile platform, a platform control system and a data receiving and processing system; the GNSS signal source provides an L-band signal; the RADARSAT signal source provides a backscattering signal; the GNSS-R receiver receives a direct signal of the GNSS signal source and a forward-scattering signal which enters a sea ice surface and is scattered; the data receiving and processing system receives the forward-scattering signal and the backscattering signal, and processes and analyzes the received signal; and the platform control system controls the movement of the mobile platform. The sea ice microwave remote sensing monitoring system realizes the innovation of traditional monitoring means, can work all day long in all weathers, simultaneously has stronger permeability because the GNSS-R works in the L-band with quite long wavelength, and can realize the low-cost and high-efficiency monitoring to sea ice.

The invention belongs to the technical field of sea ice monitoring, a method and system for sea ice classification of SAR image based on long and short time memory network are disclosed, features areextracted directly from SAR image data of sea ice observed continuously as training input of long-term and short-term memory network, and sea ice concentration data are used as one-dimensional features to train the classification network in network training, and the sea ice classification network with both spatial and temporal dimensions is obtained. Considering the unknown sea ice density data, the sea ice density prediction model based on the long-short term memory network is trained first, and then the predicted density data and SAR image data set are input into the trained sea ice classification network to classify the sea ice. In the classification of sea ice in SAR image, the invention considers the time dimension characteristic of the sea ice type change in the time evolution process, and the recognition rate of the similar sea ice type is greatly improved.

The invention relates to a remote sensing classifying method for sea ice types. Polar region sea ice are sorted by adopting satellite radar height gauge Cryosat-2 data, so that large-scale sea ice classification based on novel means is implemented. The method includes steps of acquiring longitude and latitude coordinates of measurement points and corresponding radar echo waveforms from the heightgauge Cryosat-2 data and extracting related features of echo waveforms; downloading AARI sea ice type data and extracting sea ice type information at the corresponding measurement points; performing geographic matching on the above extracted data information and converting the data information to point data with longitude and latitude coordinates through MATLAB programming; taking the acquired waveform features of the points and the corresponding sea ice types as training data and training by utilizing a random forest classifier, performing sea ice classification on to-be-classified data; performing treatment including projection conversion, grid transformation and the like in ArcGIS on data subjected to classification and acquiring a sea ice type data set having a spatial resolution of 25km.

The invention discloses a method for dynamic modeling for sea ice in a navigation simulator scene. The method for the dynamic modeling for the sea ice in the navigation simulator scene comprises the following steps of dynamically managing a whole sea ice field based on a quadtree space partition technology, confirming a state of a sea ice model and carrying out dynamic brash ice modeling on a single body ice breaking model. According to the method for the dynamic modeling for the sea ice in the navigation simulator scene, a quadtree technology is applied to the scene management of repetition models, due to the fact that the generation, breaking, melting and freezing in the sea ice model are extremely suitable for the storage of property structures, the whole sea ice face can be taken as a single layer, an octree which is more complex is not necessary to be used for managing three-dimensional scenes, the function of early stage simplification is performed on the subsequent breaking, freezing, melting and other dynamic processes, and thus the real-time performance of a visual system is greatly improved and optimized. According to the method for the dynamic modeling for the sea ice in the navigation simulator scene, a Voronoi image algorithm is optimized and then added and applied to sea ice dynamic modeling so that relative realistic situations meeting actual natural conditions can be formed in a breaking model when collision between ships and ice occurs, and thus the sense of reality of sea ice breaking is enhanced.

The invention discloses a semi-automatic production method and equipment for preparing ice and desalinating seawater by natural energy resources. The equipment comprises a plurality of terrace-shapedicing ponds arranged in a vertical and horizontal manner, and is characterized in that seawater is poured into the icing ponds at the temperature below 0 DEG C, unfrozen water at the bottom of the icing ponds is discharged after the seawater ices to 1-2cm, and the sea ice is smashed to slump into the bottom of the ponds; an electric lifting gate of each icing pond is opened, the smashed sea ice slides down along the sloping surface of the bottom of the pond, and falls into a container after impacting an ice blocking wall; a drainage valve at the lower part of the container is opened, the sea ice melts and ices repeatedly along with the temperature difference between day and night, and salted ice water is discharged; the drainage valve is closed when the salinity of the discharged salted ice water is detected to be less than 1 per mill, and the ice in the container melts into fresh water by integral bask in natural state. The invention utilizes gravity to lead the ice to smash automatically to slide into a vehicle through a sloping surface, thus heavy physical labor in the link that ice is collected and transported into the icing pond is omitted in the prior art.

The invention provides a method and a system for sea ice thickness distribution estimation based on least square adjustment. The method comprises the following steps: carrying out satellite height measurement data processing, and extracting related parameters which comprise longitude, latitude, elevation, average sea surface height, orbit number, pulse peak value and pulse accumulation standard deviation; extracting a sea ice freeboard height: performing inter-ice waterway identification according to satellite echo signal related characteristic parameters to obtain the sea ice freeboard height; estimating the sea ice thickness: establishing a function model in a grid unit according to a conversion relationship from the sea ice freeboard to the sea ice thickness, establishing an observationequation, and solving by utilizing least square adjustment to obtain the corresponding sea ice thickness result; and performing resampling and filling to obtain a final sea ice thickness distributiondiagram. The method gets rid of a traditional experience valuing method, avoids uncertainty caused by conditions such as accumulated snow thickness, accumulated snow density and the like under special geographical positions and weather conditions of a sea ice area, and accordingly improves the reliability of sea ice thickness estimation.