65 results about "Sea ice thickness" patented technology

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 inventive sea ice thickness radar measuring device is a technology for measuring sea coast ice thickness using radar, belonging to the technical filed of marine environment motoring. The measuring device mainly comprises radar, a communication interface, a monitor, a computer, a printer and a data transmission module. In accordance with the characteristic that the electric wave at gas-ice interface and ice-water interface has strong echo wave, the invention uses microwave radar with ultra wide band and narrow pulse width (10-12 / s) as detection mean, acquires sea ice thickness information from the raw data of radar echo wave, and realizes acquisition, storage, display, output and print of ice thickness measurement data from radar. The invention realizes non-contact on-site fixed-point real-time measurement, and can detect sea ice with 3-6 cm thickness. In particular, the invention realizes the measurement of thin sea ice with thickness of 3-10 cm.

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 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 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 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.

The invention relates to a real-time acquiring method for sea fog thickness and cloud base height of low clouds. The method fully utilizes data from L wave band secondary wind-detecting radar and digital dropsonde data of an observatory, orderly analyzes distribution characteristics of the temperature and moisture of sea fog and the low clouds in the vertical direction, calculates stability degree conditions and turbulent flow conditions of lower atmosphere when the sea fog and the low clouds exist, makes statistical analysis and concludes the conditions to separate the sea fog and the low clouds, calculates the sea fog thickness and the low clouds height, and acquires the sea fog thickness and the low clouds height. The formed computer software automatically displays the result. The invention provides an effective method for monitoring in real time, namely simultaneously establishing an objective and feasible method for automatically extracting the cloud base height of the low clouds and monitoring the sea fog thickness in real time, has strong implementation, high reliability, and provides effective meteorological data for flight safety above the sea surface, maritime traffic transportation, as well as operations on harbors and costal airports.

The invention provides a method for pre-estimating an overhead power transmission line wire designed ice thickness. The method includes the step of collecting basic data and establishing fine grid meteorological background field data of past years, the step of estimating a fine grid wire icing thickness, the step of correcting the fine grid wire icing thickness and the step of estimating a wire icing thickness in a return period. The method for pre-estimating the overhead power transmission line wire designed ice thickness provides an effective solution for determining power transmission line wire designed ice thicknesses of regions lack of icing basic data and regions with complex terrain.

The invention relates to a power transmission line coated ice thickness prediction method based on micro meteorological information, which utilizes the historical coated-ice thickness data of a power transmission line and the micro meteorological historical temperature data corresponding to the historical coated-ice thickness data to train a regression model using the coated ice thickness as the dependent variable and the micro meteorological temperature as the independent variable to obtain the correlation between the coated ice thickness and the temperature information and to further take and utilize the well-trained model and the meteorological temperature predicted by a metrological station to conveniently predict the thickness of the coated ice. According to the prediction method of the invention, through the correlation between the coated ice thickness and the temperature data and in combination with the future metrological temperature information, it is possible to predict the thickness of coated ice so as to provide auxiliary decision support to prevent ice and de-ice. Compared with the prior art, the method does not need the introduction of a special coated ice acquisition device, which not only reduces the cost invested into a project, but also eliminates the complicated image processing procedures.

The invention relates to a method for calculating sea ice thickness based on hyperspectral remote sensing reflectance. The method comprises the following steps of selecting the ratio of remote sensing reflectance of different wavelengths and functions as the characteristics of determining the sea ice thickness according to the different thicknesses of sea ice hyperspectral remote sensing reflectance; building a sea ice thickness calculation model to obtain the sea ice thickness; aiming at an aerial hyperspectral image containing sea ice, firstly, utilizing the ratio of digital quantization values of an image to identify a sea ice picture element; carrying out radiation correction and atmospheric correction on the digital quantization values of the image according to the common aerial hyperspectral image processing method to obtain the hyperspectral remote sensing reflectance of the sea ice picture element; and finally substituting into the sea ice thickness calculation model, and calculating the thickness of the sea ice picture element. The model disclosed by the invention is simple; and only remote sensing reflectance Rrs of finite wavelengths is selected. Therefore, sea ice thickness calculation of the sea ice remote sensing reflectance measured by a spectroradiometer is achieved, and calculation of the sea ice thickness by the aerial hyperspectral remote sensing image is also achieved.

The invention provides an optimal decision method and an optimal decision system for power transmission line ice disasters. The optimal decision method includes acquiring power transmission line icing thicknesses and increasing icing thicknesses within a period of time; computing by combining the power transmission line icing thicknesses and the increasing icing thicknesses with a power transmission line design ice thickness so as to obtain icing degrees of power transmission lines, acquiring importance degrees of the power transmission lines according to voltage grades of the power transmission lines and importance degrees of power transmission line sections, and acquiring power transmission line icing difficulty coefficients according to deicing equipment configured for the power transmission lines, a deicing scheme formulated for the power transmission lines and the voltage grades of the power transmission lines; screening the power transmission lines needing to be deiced according to the icing degrees of the power transmission lines, conducting priority ranking of the power transmission lines needing to be deiced by integrating the icing degrees, the importance degrees and the deicing difficulty coefficients of the power transmission lines, and deicing according to the priority. The optimal decision method and the optimal decision system for the power transmission line ice disasters have the advantages that emergency disposal strategies for the power transmission line ice disasters can be formulated, and emergency disposal effects and benefits of the power transmission line ice disasters are improved.

The invention discloses a proposed overhead power transmission line icing monitoring method, which comprises the steps that A, the wind speed V<wind>(m / s), weight reading T1(g)+T2(g) after a simulation wire being covered by ice, the length L<wire>(m) of the simulation wire, the diameter d<wire>(mm) of the simulation wire, the weight per unit length g<wire>(g / m) of the simulation wire, the ground height h<wire>(m) of the simulation wire, the actual icing thickness r<ice>(mm) of the simulation wire and a horizontal included angle theta (degree) between the wind direction and the simulation wire are acquired; B, the actual icing weight G<ice>(g) of the simulation wire is calculated through simultaneous formulas; and C, the standard ice thickness B0(mm) on the simulation wire is calculated according to a formula shown in the description of the invention. The proposed overhead power transmission line icing monitoring method can accurately measure the standard ice thickness on the simulation wire of a proposed overhead power transmission line, and can provide a reasonable and accurate ice region magnitude and other design meteorological conditions for power transmission line design.

The invention relates to a sea ice thickness estimation method based on experimental data of a multi-beam altimeter (MABEL). The method comprises the following steps: preprocessing MABEL data, extracting altitude and coordinate information for matching, and removing an atmospheric effect; then performing time shaft equal division and altitude division, constructing a two-dimensional grid, and extracting an interval with the largest number of photons; performing treatment of calculating mean variance and the like to further eliminate invalid photons to acquire a sea surface contour line; and finally, estimating the sea ice thickness by combining a hydrostatics equilibrium formula according to the sea ice height out of water. Compared with the traditional method, the MABEL data is introduced into the method provided by the invention to estimate the sea ice thickness, so that the precision is higher.

The invention discloses a polar sea area ice condition fusion display method, and the method comprises the steps: carrying out the data processing and image processing of collected sea ice intensity and sea ice thickness data of a polar sea area target, extracting the effective information of each channel, and synthesizing the effective information into a high-quality sea ice information image; wherein the saturation of the color represents the sea ice density and the sea ice depth, so that the sea area ice condition information is clear at a glance. A model is established through a causal influence network algorithm, the sea ice density and the sea ice thickness are predicted, future sea area ice condition information is provided, time universality is achieved, and meanwhile the superimposed chart is a necessary premise for polar navigation route planning.

The present invention relates to an unmanned aerial vehicle for monitoring ice regime features. The unmanned aerial vehicle comprises an unmanned aerial vehicle body, monitoring loads and ground equipment, wherein the monitoring loads comprise a small high-definition digital video camera, or infrared, or far-infrared, or thermal infrared camera imaging equipment, or ice thickness measurement electric drilling equipment, or sonar ice thickness measurement equipment, and any combinations thereof, wherein the ice thickness measurement electric drilling equipment is arranged between the body and the landing gear of the unmanned aerial vehicle body, and comprises a structure body and a control measurement circuit, and can precisely measure the ice thickness in place. The unmanned aerial vehicle of the present invention has advantages of flexibility, rapidness, high efficiency, remote operation, accuracy, safety, low cost, and the like.

The invention provides a sea ice thickness observation method based on leakage modal acoustic waveguide characteristics, and the method comprises the steps: deducing a frequency dispersion equation of a floating ice waveguide in an ice-water coupling state, achieving the one-by-one modal solving of an ice-water coupling model based on a complex space peak value self-search algorithm, obtaining a frequency dispersion curve of a QS modal most sensitive to ice thickness in a full frequency band, avoiding the defect that the global root searching workload of a traditional solving algorithm is large, and determining the sea ice thickness by comparing the QS modal frequency dispersion curve extracted from the actually measured ice sound signals with a theoretical curve, and then realizing sustainable, accurate and easy-to-operate sea ice thickness measurement. According to the invention, basic support can be provided for other polar region sea ice research, and necessary information can be provided for operation tasks such as polar region navigation, polar region resource development and under-ice rescue in time.

The invention discloses a method for estimating the annual sea ice thickness by using optical remote sensing images, which can quickly and accurately estimate the annual sea ice thickness in a wide range and obtain the sea ice thickness distribution map. The method for estimating the annual sea ice thickness by using the optical remote sensing images includes the following steps: (1) collecting the required target sea area optical remote sensing data and ground calibration data; (2) calibrating parameters in an annual sea ice thickness estimation model; (3) preprocessing the optical remote sensing images to obtain a required reflectivity image; (4) extracting a sea ice range and obtaining a sea ice mask; and (5) calculating the sea ice thickness by using the calibrated annual sea ice thickness estimation model according to the sea ice mask, and obtaining the sea ice thickness distribution map. The method for estimating the annual sea ice thickness by using the optical remote sensing images can greatly improve the estimation efficiency of the annual sea ice, and realize the large-scale, fast and accurate acquisition of the sea ice thickness distribution map in the target sea area.

The invention belongs to the technical field of ship and ocean engineering, and relates to a sea ice thickness identification system suitable for ship ice area sailing test, in particular to an image acquisition device for a sea ice overturning process of a ship in an ice area sailing process and an automatic identification method for sea ice thickness parameters in an image. The image acquisition device comprises a black and white binocular camera, an infrared range finder, a graphic processor, a display screen and a data switch. According to the invention, the video image information of the sea ice cross section can be captured, the sea ice thickness parameter with the delay lower than 1 second and the precision reaching centimeter can be obtained, and the calibration problem of the sea ice image is solved.

The invention relates to a sea ice information extraction method, which comprises the following steps of: preprocessing acquired photon data, further classifying sea ice information in combination with a calculation result, calculating a sea ice freeboard height value according to a classification condition, optimizing an existing accumulated snow depth measurement model result, and according to other sea ice information parameters, calculating the sea ice thickness value by combining the Archimedes law, a linear regression function and other calculation formulas. Compared with the prior art, after the satellite initial data are corrected, subsequent processing and screening are carried out by using relatively accurate data, the data are further limited, and the utilization rate of the data is improved.

The invention discloses a drawing method and device for an ice region distribution diagram. The method comprises steps as follows: the standard ice thickness of icing is calculated according to icing data collected by wire icing observation stations of a first region and a second region; meteorological parameters of the first region and the second region are collected; the standard ice thickness of icing is corrected; the corrected standard ice thickness and the meteorological parameters are subjected to regression analysis, and meteorological impact factors are determined; a regression equation of the corrected standard ice thickness and the meteorological impact factors is established; meteorological impact factors of a plurality of non-wire-icing observation stations in the first region are collected, the meteorological impact factors of the non-wire-icing observation stations are substituted into the regression equation to generate an ice thickness sequence of the plurality of non-wire-icing observation stations in the first region; the ice region distribution diagram of the first region is generated. Therefore, the problem of inaccuracy of the ice region distribution diagram generated according to the icing data record due to fewer wire icing observation stations and less measured icing data record in the specific region is solved.

The invention discloses an unmanned aerial vehicle-based sea ice thickness detecting system and belongs to the unmanned aerial vehicle technical field. The system comprises a thickness detecting unmanned aerial vehicle, a sea ice thickness detecting device and a ground station; the thickness detecting unmanned aerial vehicle comprises a flight control system arranged in an unmanned aerial vehiclebody; the sea ice thickness detecting device comprises a radar parent body, an adjustable bell mouth and a data transmission module; and the ground station is used for receiving returned electromagnetic wave signals, performing data analysis, calculating and displaying sea ice average thickness within an irradiation range. The unmanned aerial vehicle-based sea ice thickness detecting system of thepresent invention has high accuracy in sea ice thickness measurement; in application conditions such as a remote ocean condition, the system can be carried by a ship, and the ship is made to navigatein safe distances, the measurement system can be remotely controlled to perform sea ice thickness measurement, and high timeliness can be realized; whether remaining power is sufficient under a condition that a measurement distance is long can be predicted through a power prediction module; and early warning can be performed when the remaining power is insufficient, and power insufficiency halfway can be avoided.

The invention belongs to the technical field of polar region observation devices, and discloses a sea ice growth observation system, the sea ice growth observation system comprises a buoy and a sea ice observation subsystem, the sea ice growth observation system is characterized in that the buoy is configured to float above sea ice surface, the outer wall of the buoy is provided with concave grains for icing, the sea ice observation subsystem comprises a plurality of groups of sea ice thickness sensors which are in one-to-one correspondence along the vertical direction; and the plurality of groups of sea ice thickness sensors are arranged at the periphery of the buoy at intervals. Beneficial effects are as follows: the buoy can float on the sea throughout the year; when the temperature isreduced to an icing condition; seawater located in the concave lines can be frozen, meanwhile, the friction force between newly-generated sea ice and the buoy during sea ice freezing is increased, thefreezing strength during sea ice growth is improved, and therefore the influence of waves and ocean currents on buoy freezing can be resisted, the posture stability of the buoy during newly-generatedsea ice growth is improved, and the accuracy of observing the newly-generated sea ice is improved.

The invention belongs to the technical field of ocean tide measurement, and discloses a polar region ice region ocean tide measurement buoy, a measurement method and application, and the polar region ice region ocean tide measurement buoy comprises a buoy body; the Beidou navigation positioning system is mounted on the buoy body and used for determining geocentric three-dimensional coordinates of the buoy body on the ice surface; and the ice penetrating radar is mounted on the buoy body and is used for measuring the distance from an antenna to the ice surface and the sea ice thickness. The Beidou navigation and positioning system comprises a north pole satellite navigation and positioning signal receiver and a GNSS antenna, and the GNSS antenna is installed on the north pole satellite navigation and positioning signal receiver and used for receiving signals of three frequency points of the L frequency band. The device and the method can be suitable for polar ice zone tide measurement, observation errors caused by sea ice can be corrected, and the equipment cost is also remarkably reduced.

The present invention discloses a pulse system radar sea ice detection capability assessment method. About a pulse system radar, the pulse signal width of the pulse system radar is [Tau], the electromagnetic wave propagation speed of the pulse system radar is c0, and the detectable sea ice thickness limited by pulse width is (img file='DDA0001266953770000011. TIF' wi='349' he='93' / ), wherein c0=3*108m / sec, and [Theta]2 is an electromagnetic wave transmission angle in sea ice. The sea ice identification resolution is expressed by Dice, the physical significance is the discriminating degree of a sea ice area and a seawater area in a radar scattering image, and the sea ice identification resolutions when horizontal polarization and vertical polarization are (img file='DDA0001266953770000012. TIF' wi='484' he='109' / ) and (img file='DDA0001266953770000013. TIF' wi='485' he='111' / ). Based on the sea ice dielectric constant model, the pulse system radar sea ice detection capability assessment method considers multi-time scattering of electromagnetic waves between an air-ice interface and a sea water-sea ice interface, and the assessment factors are sea ice detection thickness and the sea ice identification resolution.

The present invention relates to a device, system and method for measuring ice thickness of an ice storage device. The device comprises an ice storage tank, the ice storage tank is internally provided with multiple transversely arranged pipe coils, each pipe coil is provided with a sensor, each sensor is connected with an MCU processor through a shield cable to measure the ice thickness; and the device comprises a liquid crystal display which is connected with the MCU processor to display the ice thickness information of the ice storage tank. Through adoption of the scheme, the device, system and method for measuring ice thickness of the ice storage device can accurately measure the ice thickness of an ice storage pipe coils, accurately analyze the ice preparation condition, automatically and visually reflect the ice preparation condition in the ice storage tank, transmit current ice thickness signals to an external device or an upper computer through an interface, automatically alarm conditions such as the ice preparation excess, notice ice preparation stop, further provide a historical ice preparation curve, guide a client to set an ice preparation strategy and assess whether the ice preparation storage of an assessment system can satisfy the ice preparation requirement.

The invention discloses a multivariate statistical prediction method for polar region fixed ice thickness. The multivariate statistical prediction method comprises the following steps: establishing anempirical formula of the fixed ice thickness by adopting a multivariate regression analysis model; And forecasting the sea ice thickness under the action of multiple factors by adopting an artificialneural network model. The method has the beneficial effects that the long-term ice thickness sequence with the ice thickness as the main information is adopted; An artificial experience formula for predicting the ice thickness is established through the multivariate regression analysis model, introduced environmental forced factors are input into the artificial neural network model, the sea ice thickness is forecasted, the forecasting precision can meet the service guarantee requirement, and technical support is provided for north-pole ocean engineering such as exploration of polar mineral resources and north-pole shipping.