182 results about "Sea level" patented technology

The invention provides a high-temporal-spatial-resolution full-profile real-sea accurate corrosion test method and system, and the method comprises the steps: dividing the sea level into three layers of monitoring regions, namely an atmospheric near-sea-level layer, a sea-gas boundary layer and a seawater mixing layer, deploying corresponding sensor arrays in each monitoring region, and synchronously collecting the environmental parameters of each layer in real time; a standard corrosion coupon and a corrosion monitoring sensor for monitoring the local corrosion state of the sample are arranged in each monitoring area; performing space-time alignment on the acquired data to form an environment-corrosion strong association data set; an atmosphere-ocean coupling forecasting system is constructed, simulation and prediction of future environmental parameters are achieved, simulation results serve as input variables of a corrosion prediction model, and a material corrosion life prediction model is established in combination with historical test data. According to the invention, synchronous monitoring of multi-dimensional environmental parameters and material corrosion data within a range of 30 meters above and below the sea level can be realized, and an accurate basis is provided for material selection and corrosion prediction of marine equipment.

The invention discloses a method for completing an autonomous deep-sea exploration task by a deep-sea cross-domain unmanned aerial vehicle. The method comprises the following steps: determining a target area; taking off to a specified height from the sea level, receiving a task execution command and then flying to a target area; when the relative distance between the current position and the coordinates of the target area reaches a preset value, descending; when it is detected that the device is contacted with seawater, the device dives through gravity; when it is detected that the set depth is reached, the propeller is restarted, and the detection task is executed; after the detection task is completed, the standby battery is rejected and ascends; after leaving the water surface, rising to a specified height and switching to a homeward flight mode; and when the deep-sea cross-domain unmanned aerial vehicle is within the sight distance range, a manual landing task is executed. The invention further discloses the deep-sea cross-domain unmanned aerial vehicle. According to the unmanned aerial vehicle and the method, autonomous switching operation between an air medium and an underwater medium can be realized, and the unmanned aerial vehicle has the capability of autonomously completing detection and water body sampling in an extreme deep sea environment.

The invention provides a sea level rise influence risk assessment method based on multi-source data fusion, a medium and a system, and belongs to the technical field of marine disasters. Basic feature data are obtained by constructing a multi-dimensional data acquisition network, nonlinear time series decomposition is performed by applying multi-scale wavelet analysis, and the risk assessment result is obtained by analyzing the nonlinear time series; establishing a prediction model based on a deep learning neural network; determining key vulnerabilities by using a minimum cut maximum flow algorithm; establishing a regional vulnerability scoring system; generating a comprehensive risk assessment matrix by using a Bayesian network ensemble analysis method; and finally, generating an evaluation report by using the coastline adaptability gating model. According to the model, a multi-head time sequence attention mechanism and bidirectional autoregression coding are fused, parameters are dynamically adjusted by adopting a regional adaptability gating weighting function, and accurate evaluation and dynamic tracking of sea level rising influence risks in a complex geographical environment are realized.

The invention discloses a cooperative control simulation system for an underwater robot and an umbilical cable system, belongs to the technical field of ocean engineering simulation and automatic control, and is used for analyzing system dynamic characteristics in the research and development stage of deep sea operation equipment. Comprising an environment initialization and marine environment construction module, a mother ship model construction module, an underwater robot and umbilical cable coupling module, an instruction generation module, a man-machine interaction control module and a data acquisition and storage module. According to the method, an external interference source with physical authenticity is provided for a control algorithm by combining an energy density function and simulating a composite environment modeling method of a sea level height field and an LOD dynamic grid, and a distributed model prediction control algorithm for uniformly optimizing underwater robot trajectory tracking and umbilical cable tension safety maintenance is constructed; data such as the motion state of the underwater robot and the tension of the umbilical cable can be output in real time, algorithm performance testing is completed in a virtual environment, and dependence on high-cost sea testing is not needed.

An apparatus and method for predicting sea level fluctuations are disclosed. The method for predicting sea level fluctuations includes: acquiring past time-series data of past wind stress and past sea level height, determining an optimal length of a time lag of a response function representing a convolution relationship between the past wind stress and the past sea level height and a future sea level height, determining weighting factors of the past wind stress and the past sea level height in the response function to which the determined optimal length of the time lag is applied, and calculating the future sea level height using the response function to which the determined weighting factors are applied.

The invention relates to the technical field of trestle construction platforms, in particular to an offshore lamplight trestle construction platform which comprises a supporting column, a bridge floor is detachably installed at the upper end of the supporting column, limiting seats are fixedly connected to the upper end and the lower end of the supporting column, the outer surface of the supporting column is sleeved with a movable barrel, the outer surface of the supporting column is further sleeved with a balance weight ring, and the balance weight ring is located below the movable barrel. The outer surface of the movable cylinder is sleeved with an auxiliary ring, the outer surface of the auxiliary ring is rotationally provided with a plurality of extension rods, the outer surfaces of the extension rods are sleeved with floating belts, the floating belts can float above the sea level, the movable cylinder automatically ascends and descends along with the sea level under the buoyancy action of the floating belts, and the communication cylinder is kept in isobaric communication with an external water body. The water column pressure formed in the rising process of sea waves and tides can automatically drive the turbofan in the driving barrel to rotate, so that continuous mechanical energy output can be achieved without additional power, and then the cleaning ring is driven to circularly clean the outer surface of the supporting column.

The invention provides an improved ship target distance measurement method and system, and the method comprises the steps: calculating the radial and tangential distortion parameters of a camera and the internal reference of the camera through a camera calibration technology, building a mapping relation through a distortion automatic correction algorithm, carrying out the reverse mapping calculation, carrying out the restoration and filling of vulnerability pixel points, and generating a distortionless correction image. A deep learning model is used to identify a sea level line in a camera video picture, a distortion automatic correction algorithm is used to correct the sea level line into a horizontal straight line, and according to a camera imaging principle, a proportional relation of a tangent function related to a camera lens direction and a sea level angle is constructed. Automatically calculating the installation angle of the camera by using an arc tangent function; and according to the automatically calculated camera installation angle and the pixel point coordinates of the distortionless correction image, the distance between the position of the opposite ship on the corrected sight line video picture and the world coordinate system of the camera is obtained, the ship target distance measurement improvement is realized, and the method has usability and high precision.

The invention relates to an East India Ocean sea level height positive anomaly next year ENSO event forecasting method, and the method comprises the steps: employing the mark parameters of the sea abnormally descending Kelvin wave of the tropical East India Ocean during the India Ocean negative dipole event, such as the sea level height anomaly or the subsurface sea temperature anomaly; comprising the following steps: using near equatorial sea level height or subsurface sea temperature abnormity of Indonesian sea or Western Pacific Ocean, or Kelvin wave of East India Ocean obtained through India Ocean wind field, using a regression forecasting model, and using path change of old flow of Pacific Ocean cotton lancea in winter and spring or Western Pacific Ocean west wind outbreak index as a logic switch, and the starting process and the explosion intensity of the ENSO event can be forecasted. According to the method, spring obstacles can be broken through, and the outbreak and the intensity of the El Nino and La Nina events can be successfully forecasted.

The invention discloses a sea surface temperature and sea level anomaly joint prediction method based on cross attention, and the method comprises the steps: constructing a deep neural network joint prediction model, taking collected sea surface temperature SST data and sea level anomaly height SLA data as input, and predicting future SST data and SLA data; the prediction process comprises the following steps: (1) training a prediction model by adopting a training data set; (2) after each training iteration is finished, verifying the prediction model by adopting a verification data set, and storing prediction model parameters with optimal performance; and (3) testing the trained prediction model by adopting the test data set. The prediction model adopts a double-branch structure to extract spatial-temporal characteristics of SST and SLA through a convolutional long-short-term memory network, and dynamic information interaction fusion between two variables is realized by using a cross attention mechanism, so that a coupling relationship between thermodynamics and dynamics is described. The model carries out end-to-end training through a unified loss function, and continuously outputs high-precision and high-consistency prediction results in a long period.

The utility model discloses a portable wave monitor fixing frame, which relates to the technical field of ocean monitoring and comprises a fixing frame, a wave monitor fixing frame, a wave monitor fixing frame body and a wave monitor fixing frame body. The lower end part of the steel pipe is fixedly arranged at the monitoring point seabed, and the upper end part extends above the sea level; a mounting structure for fixing the wave monitor is arranged on the fixing frame, and the mounting structure comprises an adjustable tightening belt and a gland matched with the tightening belt; a limiting ring connected to the steel pipe in a sleeving mode is arranged on the fixing frame. According to the technical scheme, the fixing frame is firmly installed on the seabed through the steel pipe, the structural stability of the whole device is improved through the structural arrangement of the limiting rings and the inclined struts, and displacement or overturning caused by seawater flowing or external impact is effectively prevented. And the fixing frame is mounted in a detachable connection manner, so that the wave monitor can be conveniently and quickly mounted and dismounted, the mounting and maintenance processes of equipment are simplified, and the maintenance cost and time are reduced.

An apparatus and method for predicting sea level fluctuations are disclosed. The method for predicting sea level fluctuations includes: acquiring past time-series data of past wind stress and past sea level height, determining an optimal length of a time lag of a response function representing a convolution relationship between the past wind stress and the past sea level height and a future sea level height, determining weighting factors of the past wind stress and the past sea level height in the response function to which the determined optimal length of the time lag is applied, and calculating the future sea level height using the response function to which the determined weighting factors are applied.

The utility model relates to a new energy photovoltaic support which comprises a floating plate, communication pipes are fixedly arranged at the four corners of the floating plate, installation rods are arranged at the bottom ends of the communication pipes, electric telescopic supports are arranged at the top ends of the communication pipes in a sliding mode, an installation frame is jointly arranged at the top ends of the electric telescopic supports, and pressure relief structures are arranged on the side walls of the communication pipes. The utility model relates to the technical field of new energy photovoltaic supports. According to the new energy photovoltaic support, when the sea surface rises due to rising tide, the floating plate can rise along with the sea surface, the relative position of the electric telescopic support and the floating plate is always kept unchanged at the moment, and the floating plate can rise along with the sea surface, so that the relative position of the floating plate and the sea surface is always kept unchanged; and the distance between the mounting frame and the sea surface is always kept unchanged, so that the problem that seawater is easily splashed on the surface of the photovoltaic panel due to rising of the sea surface during flood tide can be effectively avoided, and the surface of the photovoltaic panel can be effectively protected from being corroded by the seawater.

The invention relates to a toughness improvement and long-acting management and protection method for maintaining and repairing a beach, and the method comprises the steps: obtaining the landform and environment data of the beach through the remote sensing of an unmanned plane, a shore-based sensor and other means, and evaluating the erosion risks under different storm scenes and sea level rising conditions through an improved model; based on key indexes such as shoreline retreating, beach shoulder elevation and vegetation coverage, the validity period and the failure threshold value of each restoration measure are measured and calculated; a multi-objective optimization algorithm is adopted to comprehensively balance ecological protection, protection efficiency, economic cost and regulatory restrictions, and the measures are deployed in a partitioned and staged manner in space and time; through periodic or real-time monitoring threshold comparison, a subsequent scheme is iteratively corrected in time. According to the invention, through real-time or regular coast power monitoring, multi-dimensional risk assessment, multi-target optimization and a rolling updating mechanism, continuous restoration and high-toughness maintenance of the beach are realized in an uncertain environment.

A multi-degree-of-freedom ocean wave energy power generation device comprises a floating ball floating on the sea surface, a lower-degree-of-freedom platform fixed and immersed below the sea level, and a multi-degree-of-freedom hydraulic part which is located between the floating ball and the lower-degree-of-freedom platform and enables the floating ball to perform multi-degree-of-freedom movement relative to the lower-degree-of-freedom platform along with waves. Wherein the multi-degree-of-freedom hydraulic part comprises three groups of hydraulic cylinders which are symmetrically distributed at 120 degrees along the central axis of the floating ball, and the upper ends and the lower ends of the hydraulic cylinders are movably connected with the floating ball and the lower-degree-of-freedom platform respectively; a hydraulic motor and a power generator are arranged in the floating ball, an output shaft of the hydraulic motor is fixedly connected with an input shaft of the power generator, an oil inlet and an oil outlet of the hydraulic motor are connected with a rod cavity and a rodless cavity of a hydraulic cylinder through an oil way system respectively, and the floating ball drives the hydraulic cylinder to stretch out and draw back when moving along with waves in a multi-degree-of-freedom mode. According to the multi-degree-of-freedom ocean wave energy power generation device, kinetic energy of ocean waves can be captured in multiple degrees of freedom, and the efficiency of generating power through ocean energy is fully improved.

The utility model discloses an autonomous water taking device based on an altimeter, and relates to the technical field of water taking devices, the autonomous water taking device comprises a temperature-salinity-depth profiler body, the top of the temperature-salinity-depth profiler body is fixedly provided with a cable, and the inner side of the top of the temperature-salinity-depth profiler body is provided with a water taking assembly and a connecting assembly; the water taking assembly comprises a first connector, a second connector, a plurality of water taking tanks, a first electromagnetic valve, a second electromagnetic valve, a manual drain valve and a connecting cable; according to the technical scheme, the water taking assembly is arranged, specifically, according to the fact that the temperature-salinity-depth section plotter body is released to a certain depth of the bottom of the sea level, then the controller of the ship body controls the first electromagnetic valve and the second electromagnetic valve to be opened through the connecting cable, liquid is automatically poured into the water taking tank at the moment, and rapid and automatic water taking is carried out; and a plurality of water taking tanks are adopted, so that different types of seawater can be sampled, and the device is convenient to use.

The application discloses a three-level sequence division method based on Mitchell cycle, comprising the following steps: obtaining a natural gamma logging curve in a target area; determining the signal energy and cycle number of the natural gamma logging curve based on spectrum analysis, and then judging whether the natural gamma logging curve contains Mitchell cycle; selecting a time anchor point with determined age and depth; selecting a slope track parameter as a target curve; determining the initial corresponding position of the natural gamma logging curve and the target curve based on the time anchor point, and tuning the natural gamma logging curve to the target curve from the initial corresponding position as a starting point to obtain a time-depth conversion table, and then determining an astronomical age scale; filtering the astronomical age scale to obtain a filter curve, and performing three-level sequence division based on the envelope line of the filter curve. The envelope line of the filter curve reflecting the characteristics of sea level change is obtained by filtering the astronomical age scale, and the three-level sequence division is performed based on the envelope line, so that the three-level sequence division conclusion is more accurate.

The invention discloses a heavy mineral placer prediction method, device and equipment based on paleo-coastline reconstruction, and the method comprises the steps: determining the paleo-sea level relative height of a sample region, and generating a target paleo-coastline through a region growing algorithm; generating an ancient landform elevation model, identifying a plurality of ancient landform units based on the topographic position index, and screening out ancient landform exposure units; performing mineral identification on the ancient landform exposure unit to obtain a heavy mineral abundance map; constructing a hydrodynamic-deposition coupling model, identifying a sediment accumulation area of the sample area, and comparing the sediment accumulation area with the heavy mineral abundance map to obtain a heavy mineral enrichment area; dividing a positive sample area and a negative sample area, and training to obtain a heavy mineral placer prediction model; a mineralization probability distribution diagram of the target area is obtained through prediction, and the heavy mineral target area is determined according to the mineralization probability distribution diagram. The method improves the prediction precision of the mineralization probability of the heavy minerals, thereby improving the efficiency and accuracy of positioning and exploration of heavy mineral placers, and can be applied to the technical field of resource detection.

The invention discloses an antenna unfolding keeping device suitable for sea level observation buoy information transmission, belongs to the technical field of deep sea observation information remote transmission, and realizes system stability control through a dynamic buoyancy compensation mechanism. When an annular frame of the floating air ball ascends, a piston head in a through pipe is synchronously pulled to slide upwards through a pull rope, in the process that the piston head moves upwards along the through pipe, communication ports of a water tank and the through pipe are sequentially opened, seawater is injected into the water tank layer by layer from bottom to top from the bottom of the through pipe, and the total weight of the system is gradually increased along with increase of the water filling amount of the water tank; the buoyancy and the gravity are balanced again, the device keeps a stable floating posture, in the process, through dynamic matching of the buoyancy and the gravity, it is ensured that the gravity center of the device is always in a balanced state in the floating air ball lift-off process, and overturning or posture instability caused by sudden buoyancy change is avoided.

The embodiment of the application provides a marine carbonate high-resolution sequence stratigraphic division method and device, and belongs to the technical field of geological exploration. The method comprises the following steps: obtaining logging data of a target well section, generating a first curve based on the logging data, the first curve being a curve for representing the rise and fall of the paleo-sea level of the target well section; obtaining stable isotope data of the target well section, correcting the first curve based on the stable isotope data, obtaining a second curve, and thus establishing a high-resolution sequence division scheme of a single well; obtaining a seismic profile of the target well section, determining a negative inflection point of the second curve, and calibrating the seismic profile based on different levels of the negative inflection point of the second curve, so as to determine a high-resolution sequence tracking scheme of the target well section; and the application can quickly and conveniently solve the problem of high-resolution sequence stratigraphic division and comparison.

This invention provides a method, medium, and system for assessing the risks of sea-level rise based on multi-source data fusion, belonging to the field of marine disaster technology. The invention acquires basic feature data by constructing a multi-dimensional data acquisition network, performs nonlinear time series decomposition using multi-scale wavelet analysis, establishes a prediction model based on a deep learning neural network, identifies key vulnerability points using the minimum cut maximum flow algorithm, establishes a regional vulnerability scoring system, generates a comprehensive risk assessment matrix using Bayesian network ensemble analysis, calculates the variable submatrix to extract risk change trends, and finally generates an assessment report using a coastline adaptive gating model. This model integrates a multi-head temporal attention mechanism and bidirectional autoregressive coding, and dynamically adjusts parameters using a regional adaptive gating weight function, achieving accurate assessment and dynamic tracking of the risks of sea-level rise in complex geographical environments.

The invention discloses a method and device for drawing a carbonatite sedimentary facies diagram based on ternary coupling. The method comprises the following steps: determining a water depth environment based on a regional structure effect, a basin position, a substrate characteristic and a climate condition, and establishing a research region concept deposition mode; selecting a typical well, dividing a three-level sequence in the typical well according to earthquake, logging and core data, and further dividing a mapping unit; for each sequence, establishing a relationship between the ternary coupling of the water depth background, the sea level cycle and the paleo-geographic position and the sedimentary hydrodynamic condition and the stratum thickness, analyzing the thickness change of the single well stratum in the sequence, and reversely deducing the sedimentary hydrodynamic condition based on the relationship in combination with the water depth background, the sea level cycle and the paleo-geographic position; and determining a single-well facies under the guidance of the concept sedimentary mode, fitting, matching and correcting the single-well facies and hydrodynamic conditions, and drawing a sedimentary facies diagram of the drawing unit in combination with the regional structure trend. The method can draw a reasonable and accurate regional sedimentary facies diagram for a complex oil field group.

The invention provides a water depth measurement method and device, electronic equipment and a medium, and relates to the field of water depth measurement. The method comprises the following steps: dividing a water body into a plurality of depth layers along a gravity direction according to a division rule based on a preset interlayer spacing; obtaining the signal intensity of each echo signal determined after the ADCP transmits the sound wave signal to the water body; taking the depth layer corresponding to the echo signal with the maximum signal intensity as a target depth layer; and determining the total distance between the target depth layer and the sea level based on the preset interlayer spacing and the initial distance between the first depth layer closest to the sea level and the sea level. Since the reflection coefficient of the water bottom is greater than the reflection coefficients of other scatterers in the water body, the target depth layer is regarded as the water bottom, the total distance between the target depth layer and the sea level is the water depth, the water depth measurement result is not influenced by the water body density and interferents, and the accuracy of the measurement result is ensured. The ADCP is supported to measure the depth and the flow velocity of the water body at the same time, and the equipment weight and the economic cost are reduced.

The invention discloses a parafoil glide ratio test method. The method comprises the following steps: (1) preparation before test; a three-cup anemograph is used for testing the wind speed in the horizontal direction and the wind speed in the descending direction to replace the air-drop height and the horizontal distance to calculate the glide ratio, different wind speeds are used in a wind tunnel to calibrate the precision of the three-cup anemograph, and a calibration certificate is obtained; before testing, drawing a corresponding relation curve of a test value and a standard value according to indication calibration value data on a calibration certificate of the three-cup anemograph; a linear fitting method based on the least square method theory is adopted, a functional equation between a test value and a standard value is constructed, and the fitting precision R2 is larger than 0.99; (2) measuring data; measuring a vertical descending speed and a horizontal speed; (3) data processing; and carrying out test section relative density conversion, standard atmospheric sea level, standard weight vertical descent speed and horizontal speed conversion and glide ratio calculation. The glide ratio testing method can reduce errors and fully consider interference of external factors.

The invention discloses an explosive cyclone recognition and intelligent classification method, relates to the technical field of cyclone recognition and classification, is used for solving the problems that the explosive cyclone recognition accuracy is reduced, the path tracking capability is insufficient and the aging response capability is weak, and aims to improve the recognition accuracy of the explosive cyclone through reanalysis data based on high temporal-spatial resolution ERA5 in combination with local feature extraction and a multi-stage classification algorithm. And fine identification and visualization of the meteorological disturbance system are realized. The method comprises the following steps: performing space-time slicing on a sea level air pressure field through a sliding window, extracting air pressure gradient change rate, central air pressure, skewness, kurtosis and other features of sub-regions to form an initial feature set, generating an optimized feature set through low-pass filtering and a dynamic weight mechanism, inputting the optimized feature set into a support vector machine and a random forest two-stage classifier to perform cyclonic identification and explosive classification, and finally performing classification. And statistical charts of spatial distribution, path track, central air pressure change and the like are output.

The present invention discloses a fishery sea area monitoring system based on satellite remote sensing, which belongs to the field of fishery monitoring technology and specifically comprises: a remote sensing data acquisition module that acquires and pre-processes abnormal data on sea surface temperature, chlorophyll concentration and sea level height; a buoy data acquisition module that synchronously acquires temperature and salinity profile data of an Argo buoy array, and whose deployment density is dynamically adjusted according to historical fish catch and ocean front strength; a spatiotemporal alignment module that divides a time window by orbital period, corrects spatial offset in combination with buoy drift trajectory, sets a time buffer interval based on geostrophic velocity and satellite image resolution, and generates a spatiotemporally unified three-dimensional ocean environment data set; a fishery suitability calculation module that constructs a biophysical coupling model, associates surface chlorophyll with subsurface temperature and salinity structure, and calculates the suitability index of each water layer; a fishing ground division module that intelligently demarcates core areas and edge areas based on the three-dimensional distribution characteristics of the index; the present invention realizes accurate identification of fishing grounds based on multi-source data fusion.

The application relates to a circuit inspection unmanned aerial vehicle, which comprises an unmanned aerial vehicle body, a mounting bracket, a plurality of drop inspection mechanisms, a dropping mechanism and a recovery mechanism, the plurality of drop inspection mechanisms are arranged on the mounting bracket at intervals; the drop inspection mechanism comprises a detection imaging module, a positioning module and a buoyancy assembly; the unmanned aerial vehicle body can be above a set dropping point, and the plurality of drop inspection mechanisms are respectively dropped to different set dropping points through the dropping mechanism to detect submarine cables at different positions; the detection imaging module can collect image information of the submarine cable to be inspected; the buoyancy assembly can provide buoyancy for the drop inspection mechanism to drive the drop inspection mechanism after completing the inspection to the sea level; the unmanned aerial vehicle body can fly to the corresponding position according to the positioning information sent by the positioning module to recover the drop inspection mechanism on the sea level through the recovery mechanism; the application can improve the inspection efficiency of the submarine cable and greatly save manpower.

This invention discloses a data processing method for carbon dioxide column concentration based on a spaceborne lidar, comprising: performing nonlinear correction on the spaceborne integral path differential absorption (IPDA) lidar detection signal; calculating the differential optical thickness based on the IPDA lidar signal; calculating the echo height above sea level and geographic coordinates based on the echo signal location; establishing an absorption cross-section lookup table using differential absorption cross-section data from the High Resolution Transmission Molecular Absorption (HITRAN) database; calculating the pressure at the echo location using the European Centre for Medium-Range Weather Forecasts Reanalysis Dataset (ERA5) and the echo signal height above sea level; calculating the Doppler frequency shift; calculating a weighting function based on pressure profiles, humidity profiles, temperature profiles, and Doppler frequency shift data; and calculating the carbon dioxide column concentration. The key features of this invention are the nonlinear correction of the spaceborne IPDA lidar echo signal, the establishment of a differential absorption cross-section lookup table for carbon dioxide molecules, and the accurate and efficient calculation of the carbon dioxide column concentration using spaceborne IPDA lidar detection data and ERA5 meteorological dataset data.

The invention provides a sea level fingerprint calculation method and system based on land component mass change, and belongs to the technical field of geodetic survey. Comprising the following steps: reconstructing a quality change time sequence of land components according to obtained quality change data, carrying out gridding processing on land and ocean areas in a data acquisition range, and mapping the quality change data to grids; performing sea level fingerprint initial calculation based on the mass change data in the grid; and finally, performing iterative optimization on the initial sea level fingerprints through parameter updating of the earth rotational inertia to obtain final sea level fingerprint spatial distribution. On the premise of not depending on satellite observation, corresponding gravitational potential and rotation potential can be calculated based on land quality change, and integral calculation is carried out in a global range to obtain accurate sea level fingerprint spatial distribution.

The invention provides an exploration area prediction method and device based on multistage sublithofacies paleogeography, and the corresponding method comprises the steps: constructing a lithofacies paleogeography evolution process in space according to the construction activity property of a same-sedimentary-period area; wherein the space level comprises regional multi-plate blocks, basins in the plates and structure-lithofacies zones in the basins; in time, the lithofacies paleogeography evolution process is restrained according to global sea level change, tectonic settlement, material source supply and climate change; wherein the time level comprises a second-level sequence, a third-level sequence and a fourth-level sequence; and generating a lithofacies paleogeographic map according to the constrained lithofacies paleogeographic evolution process, and predicting a favorable exploration area according to the lithofacies paleogeographic map. According to the method, the development and configuration relation of reservoir forming elements such as hydrocarbon source rocks, reservoir bodies and cap strata in the petroliferous basin is well revealed, so that the oil and gas exploration field and direction are explained, and a basis is provided for optimizing zones and targets.

The utility model relates to an ocean sonar automatic lifting control system, which comprises an electric control device, a lifting device, a bearing device and a water level sensor, the water level sensor is used for detecting the sea level water level and transmitting the detected data to the lifting device, and the lifting device drives the bearing device to axially lift to automatically adjust the position of a sonar. The lifting device is controlled through the electric control device, axial lifting of the sonar is achieved, the sea level water level change is detected in real time through the water level sensor, data are transmitted to the lifting device, the bearing device is driven to automatically adjust the position of the sonar, the sonar is kept to work at the proper depth, and therefore marine organisms are effectively repelled, and the service life of the sonar is prolonged. The nuclear power station water inlet is protected from being blocked.