121 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 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 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.

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 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 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 application discloses a kind of based on multi-scale sea level pressure field Arctic cyclone automatic detection and continuous tracking method, device and storage medium, belong to polar meteorology and climate data processing technical field.The method includes the following steps: (1) obtaining sea level pressure field data and pre-processing;(2) construct local pressure anomaly field;(3) identify candidate low pressure center;(4) calculate sea level pressure field curvature;(5) calculate local depth and background gradient parameter;(6) carry out multi-center cyclone identification and repeated center combination;(7) establish trajectory matching cost matrix;(8) cyclone continuous trajectory matching is realized using hungarian algorithm;(9) trajectory conflict optimization is carried out;(10) implement trajectory quality control.The application can improve the accuracy of arctic cyclone identification and trajectory continuity, reduce the false detection and false association problems caused by random noise, multi-center system and trajectory intersection.

The application belongs to the field of aero-engine design, and is a parameter processing method for analyzing the overall performance of a ground bench endurance test. First, steady-state test data of the engine endurance test is obtained, and the steady-state performance test results corresponding to the specified speed state are processed. According to the performance calibration test results, the baseline steady-state performance model corresponding to the engine of the bench is formed through identification calculation, and the relative deviation between the performance parameter test value and the baseline performance calculation value is calculated. Through statistical regression, the regression function curve of the performance parameter calculation relative deviation with the test cycle is obtained, and the performance parameter test value of each test is reconstructed in combination with the baseline performance calculation value. Through similarity calculation based on the performance model, the performance parameter conversion value under the standard atmospheric conditions of the static sea level is obtained, and the unified comparison of the performance parameters is realized. The method avoids the similarity conversion deviation caused by the fixed and unchanged dimensionless parameters θ and δ index values, and improves the processing accuracy of the endurance test parameter results.

The invention provides a land surface temperature spatial interpolation method and device, and relates to the technical field of data processing, and the method comprises the steps: determining the low-resolution land surface temperature at the sea level height based on the low-resolution land surface temperature at the actual height, and calculating the low-resolution land surface emission long wave radiation flux at the sea level height to achieve spatial interpolation, the high-resolution surface emission long wave radiation flux at the sea level height is obtained. And finally, the high-resolution surface temperature at the corresponding sea level height is calculated, and then the high-resolution surface temperature at the actual height is calculated. According to the method and the device, the defects existing when the high-resolution surface temperature is generated by using the downscaling method in the prior art are overcome.

Embodiments of the present application provide a base station signal adjustment method, device, equipment and storage medium, which are applied to a base station adjustment system, and the method comprises: acquiring current sea surface climate information, and acquiring a base station spectrum propagation model conforming to the current sea surface climate according to the current sea surface climate information; the base station spectrum propagation model is generated based on a spectrum propagation model established according to a light propagation path of spectrum propagation to the base station under different sea surface climate conditions; user position information and base station initial parameters for the base station are acquired; base station adjustment parameters are obtained according to the user position information, the base station initial parameters and the base station spectrum propagation model; and the base station adjustment parameters are used to instruct the base station adjustment system to make corresponding adjustment to base station parameters of the base station. The base station parameters are adjusted based on different sea surface climate conditions to automatically adapt to fluctuating sea levels, weather and the like, suitable for power adjustment of sea surface coverage, and providing high-quality signal service quality for users at the edge of a sea signal.

This invention relates to the field of slope trench excavation, addressing the problem of significant errors in estimating excavation volume using the grid method for complex terrain. Specifically, it is a BIM-based system for estimating the excavation volume of fill foundation slope trenches, comprising a survey generation unit, an elevation analysis unit, a volume calculation unit, a grid adjustment unit, and a result output unit. When estimating the excavation volume, this invention uses the surveyed seabed surface as a basis and employs BIM technology to model and analyze the seabed surface and excavation location, thereby obtaining the required excavation volume and achieving a precise estimate. Furthermore, in estimating the excavation volume, different grid sizes are determined based on varying degrees of flatness of the seabed surface, allowing the grid size to actively adapt to the flatness of the sea level. This ensures both the convenience of grid-based excavation volume assessment and improves the accuracy of excavation volume estimation in complex terrain.

The invention belongs to the field of petroleum and natural gas exploration and development, and discloses a sea level rising and falling analysis method of a sea-land transition mixing system and a related device. The method comprises the following steps: acquiring drilling coring data, and establishing a semi-quantitative sequence interface recognition model of a sea-land transition mixed phase region; carrying out isochronous sequence division by utilizing a semi-quantitative sequence interface identification model, building an isochronous sequence framework, analyzing the development position of each rock, and summarizing a sequence filling model; and based on the sequence filling model, semi-quantitative analysis is carried out on lifting of the sea level by using the limestone distribution range, and a sea level lifting curve is drawn. According to the method, the geological principle is cut into argumentation, overall semi-quantification is achieved, and the common sequence stratigraphic related problems of the sea-land transition mixed facies area such as layering difficulty and no basis for sea level lifting are well solved. Therefore, the research on the deposition law, reservoir development main control factors and the like is promoted, and a key support is provided for limestone sedimentary facies evolution of a sea-land transition mixed system and an effective reservoir development distribution law.

The utility model provides an offshore metal target which comprises a buoyancy tank assembly, a supporting assembly, a mooring assembly and a target body, a plurality of pontoon arrays form the buoyancy tank assembly, the supporting assembly is arranged on the buoyancy tank assembly, the mooring assembly and the target body are arranged at the upper end of the supporting assembly, and various parts used for assisting in positioning are arranged in the target body. The device floats on the sea level through the buoyancy tank assembly, the position of the device is determined through the signal transmitter, one end of an anchor chain is assembled on the lifting lug after the device reaches a designated position, the other end of the anchor chain is connected with an anchor and sinks into the sea bottom, the position of the device is limited, and then the whole target is evenly heated through the heating plate. A heat source of a combat target in reality is simulated, and simulation training and exercise are carried out. Compared with other existing targets, the device is simple in structure, moderate in cost and not prone to being affected by stormy waves, and the reliability of the marine training result under various weather and environments can be guaranteed.