62 results about "Sea level" patented technology

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.

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.

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 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 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.

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.

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 invention discloses an unmanned aerial vehicle visual angle and image depth information combined ship GPS coordinate calculation method, which comprises the steps of collecting data through an unmanned aerial vehicle sensor, estimating image depth by utilizing deep learning, and calculating a three-dimensional relative distance between a ship and an unmanned aerial vehicle by combining a focal length and a size, preliminarily calculating the GPS coordinates of the ship based on the GPS of the unmanned aerial vehicle, the attitude parameters and the relative distance; establishing coordinate system mapping through trigonometric function conversion, calculating three-dimensional coordinates of the ship relative to the unmanned aerial vehicle and converting the three-dimensional coordinates into sea level plane coordinates; kalman filtering is adopted to carry out space-time registration, a fusion model is constructed, an initial coordinate error is corrected, and the positioning precision is optimized. According to the method, the visual angle of the unmanned aerial vehicle and the image depth information are fused, multi-source data registration and error correction are realized in combination with Kalman filtering, the precision and stability of ship GPS coordinate calculation are improved, and the method is suitable for complex marine environment positioning.

The application discloses a cross-dimension multi-source satellite altimeter sea level anomaly joint estimation method and system, and relates to the field of ocean remote sensing.The joint estimation method comprises the following steps: obtaining multi-source observation data of a target sea area about a target period, forming a corrected joint observation data set through cross-dimension data processing and reconstruction operation and bias correction operation, and mapping the corrected joint observation data set to a corresponding regular space-time grid of the target sea area; based on a preset space-time search radius, constructing an observation operator, a background covariance matrix and an observation error covariance matrix corresponding to each grid point in the regular space-time grid, and generating a regular gridded sea level anomaly product of the target sea area about the target period through an optimal interpolation method without performing explicit system error correction.The application can consider large-scale background consistency and small and medium-scale structure resolution capability on multiple spatial scales, and improves the spatial continuity, statistical consistency and overall stability of the sea level anomaly estimation result.

The invention discloses a railroad bed capable of being frozen on the sea level, and relates to the technical field of ocean engineering and railway transportation. The railway roadbed comprises a roadbed body, the roadbed body is of a hollow box structure capable of floating on the water surface, and steel rails are laid on the top face of the roadbed body. A reinforcing support structure is arranged below the steel rails in the roadbed main body, comprises a truss bearing wall and a steel rail bearing platform, and is used for supporting a load; lateral buoyancy supporting assemblies are arranged on the two sides of the roadbed body and used for providing auxiliary buoyancy and balance. The floating characteristic of the hollow box body is utilized, the hollow box body is laid on the sea surface before freezing in winter, the hollow box body and an ice layer are frozen into a whole after seawater is frozen, and train passing is achieved by directly utilizing the bearing capacity of the ice layer. The roadbed has the advantages of high structural strength, good transverse stability and the like, and can be disassembled and dragged away after sea ice melts in summer, so that the smoothness of a channel is ensured, the seasonal limitation is effectively broken through, and the cross-sea transportation cost is reduced.

The present application relates to the technical field of marine environment monitoring, in particular to a sediment transport intelligent monitoring system for offshore wind farms, comprising: a seabed base module, a sea level buoy module and an optical-electric composite cable connecting the two, the bottom of the buoy module is provided with a sensor cabin with built-in multiple sensors and counterweights, and the base and the buoy module are both equipped with acoustic Doppler current profiler, turbidity sensors and other detection components. The buoy module contains independent watertight compartments, photovoltaic power supply and control components, can identify the sediment transport state through eigenvector analysis and Mahalanobis distance clustering algorithm, intelligently switch three monitoring modes of normal, event triggering and decay tracking, and dynamically adjust the sampling frequency. The system realizes three-dimensional monitoring of the whole process of sediment "suspension-transportation-settlement" and real-time data transmission, solves the limitations of traditional seabed monitoring, takes into account the monitoring accuracy and energy efficiency, and provides reliable support for the safe operation and maintenance of wind farms.

The invention discloses a satellite-borne laser water depth correction and extraction method considering sea surface waves, and the method comprises the following steps: carrying out the sea surface wave fitting of satellite-borne laser sea surface photon points through employing a smooth spline function, and obtaining the instantaneous wave slope and elevation value of each sea surface photon position; modeling the incident line of each photon point according to the fitting result, and matching the seabed photon points with the sea surface photon points based on the modeling line of the incident light to calculate an initial water depth value; carrying out refraction correction on the initial water depth value according to a wave angle and a photon incidence angle of a sea surface wave fitting result of a corresponding position in combination with marine environment characteristics; and performing geophysical correction on a result after refraction correction to obtain a water depth extraction result based on the average sea level. Through water depth correction considering the sea surface wave angle and the wave height, sounding errors caused by sea surface waves are effectively compensated, and the satellite-borne laser water depth extraction precision and reliability are remarkably improved.

The invention discloses an air radar high-precision target positioning method based on ray model tracking. The method comprises the following steps: establishing a dominating model of ray trajectory propagation based on a Snell law and a partial derivative relationship of a refractive index to an elevation angle; a discrete ray elevation angle, a target height and a slope distance are calculated through an iterative stepping model, and a continuous change curve is constructed through linear interpolation; through forward and reverse conversion of a local east-north-sky coordinate system and a geodetic coordinate system, coordinate conversion is accelerated in combination with a pre-calculated sine and cosine relation, and longitude and latitude positioning of a target is achieved; and determining a target receiving elevation angle and a slope distance through nearest neighbor query and ball distance interpolation. The method effectively solves the problems of precision and efficiency of ray trajectory calculation in a complex atmospheric environment, remarkably improves the accuracy and real-time performance of sea level target positioning, and is suitable for the fields of radar detection, meteorological monitoring and the like.

This invention discloses a lever-type mechanical rectification wave energy capture device, comprising: a power extraction device, a lever support frame, a lever assembly, and a buoy assembly; one end of the lever assembly is connected to the buoy assembly, and the other end is connected to the power extraction device; the lever assembly uses the roller of the lever support frame as a fulcrum to transmit the motion of the buoy assembly in a direction perpendicular to the sea surface to the power extraction device; the power extraction device rectifies the reciprocating linear mechanical motion into unidirectional rotational motion, realizing the rotational power generation of the generator in the power extraction device. This invention has a compact structure and ingenious design, and can be used to capture the mechanical energy of ocean waves and convert mechanical energy into electrical energy, reducing manufacturing and maintenance costs.

The invention discloses a control method for automatically adjusting the position of a net cage. The control method sequentially comprises the following steps: S1, inputting parameters of a set height value from the net cage to the sea level, a wave peak value beta and a height Y from a net cage monitoring point to the sea level to a host; s2, matching the parameters with a database; if the data are not matched with the data in the database, directly entering S3; s3, judging whether the net cage is currently located in a set height range or not; s4, after lifting of the net cage is completed, whether the current height of the net cage is within the set height range value or not is judged again till the net cage is within the set height range value. The device can freely ascend and descend according to breeding requirements and environmental conditions, and specific water layer breeding is achieved.

The present disclosure provides a pre-stack time migration method and device for downgoing wave seismic data, and belongs to the technical field of seismic exploration. The method comprises: obtaining seismic data collected by an acquisition device at a plurality of geophones; obtaining a plurality of channels of downgoing wave seismic data based on the seismic data; calculating a travel time of each channel of the downgoing wave seismic data with the sea level as a reference surface; and performing migration on the plurality of channels of downgoing wave seismic data according to the calculated travel time of each channel of the downgoing wave seismic data. In the embodiment of the present disclosure, the travel time of the downgoing wave seismic data is calculated with the sea level as a reference surface, which can make the calculated travel time of the downgoing wave seismic data more accurate and improve the migration accuracy of the downgoing wave seismic data.

The present application belongs to the technical field of offshore engineering equipment design and manufacturing, and discloses a high-efficiency floating breakwater based on a Helmholtz water wave resonance cavity, which comprises a Helmholtz resonance cavity breakwater main body, a pile foundation and a non-powered lifting limiting auxiliary device. The breakwater main body is affected by tides or waves, and the change in sea level height leads to a change in buoyancy. The non-powered lifting limiting auxiliary device is used to realize lifting adjustment and self-position adjustment to ensure the wave-absorbing effect. The limiting hole and the limiting platform on the pile foundation constrain the position of the breakwater main body. The present application uses a Helmholtz resonance cavity and a local resonance type artificial periodic structure formed by the periodic arrangement of multiple Helmholtz resonance cavities, which can increase the wave-absorbing frequency band. The periodic arrangement of the Helmholtz resonance principle is an effective way to reduce and absorb long waves, and has the advantages of simple structure, excellent performance, strong modularization and significantly improved wave-absorbing performance when the Helmholtz resonance cavities with the same volume are arranged periodically.

The invention discloses a seabed monitoring platform and system. The platform comprises a monitoring module, a connecting piece, a power supply module, a connecting rod and a communication module, the power supply module comprises a power supply unit and a charging unit, and the monitoring module is arranged on the seabed and used for collecting seabed environment data and transmitting the seabed environment data to the communication module through the connecting piece so that the communication module can send the seabed environment data to the data center in real time; the power supply unit is arranged in a preset depth range under the sea level in a floating mode and supplies power to the monitoring module through the connecting piece. The charging unit extends out of the sea level in the working state to be connected with the mobile power supply equipment, and the power supply unit is charged through the mobile power supply equipment. When the electric quantity of the platform is small, the power supply unit can be rapidly charged without fishing, the continuous power supply state of the seabed monitoring platform is maintained, and the operation and maintenance cost of the seabed monitoring platform is effectively reduced. And meanwhile, real-time data interaction with a data center can be realized through a communication module arranged on the sea surface.

The embodiment of the application provides a water taking system, which comprises a water taking open channel, a protection dike and a plurality of water taking units arranged in the water taking open channel; the water taking open channel and the protection dike are arranged on the sea bottom surface and are higher than the sea level, and the water taking open channel extends from the land to the sea area; the water taking open channel comprises a first inlet which is arranged away from the land and perpendicular to the sea level, the protection dike is arranged outside the first inlet, the protection dike and the first surface of the water taking open channel form a second inlet, the protection dike and the second surface of the water taking open channel form a third inlet, and the first surface of the water taking open channel and the second surface of the water taking open channel are two opposite surfaces of the water taking open channel; any water taking unit of the plurality of water taking units comprises a water inlet and a water outlet, the water inlet is connected with the first inlet in communication through a first pipeline, and the water outlet is connected with a water source equipment to be input in communication through a second pipeline. By arranging the water taking system, the quality of the water source can be improved.

The invention relates to the field of optics, in particular to a sea-sky background image generation method based on photoelectric parameter input. The method comprises the following steps: receiving installation altitude information H of the photoelectric equipment; the imaging resolution of the imaging equipment, the pixel size of the imaging equipment and the pitching angle are determined; calculating a distance D between the photoelectric equipment and the sea-sky-line, a sight line included angle, an included angle between a middle axial direction of the photoelectric equipment and a connecting line of the photoelectric equipment and the sea-sky-line, and y-axis pixel coordinates of the sea-sky-line on an imaging plane, and splicing an image taking the sky as a background above the y-axis pixel coordinates of the sea-sky-line on the imaging plane based on the information; and splicing the image with the sea level as the background below the y-axis pixel coordinate of the sea-sky-line on the imaging plane.

The present application relates to a kind of sea level pressure data compression restoration method based on artificial intelligence algorithm, belong to meteorological data processing technical field, the present application collects high-resolution original sea level pressure grid point data;Original data is compressed by linear extraction algorithm, and low-resolution compressed data is generated;Model is constructed and trained, the model is sampled with low-resolution compressed data as input, and the high-resolution data is reconstructed as output;Restoration data is obtained by using the trained model to restore low-resolution compressed data.The present application is from meteorological data content and physical law, realizes the lossy compression of high fidelity and intelligent restoration, significantly reduces the storage of sea level pressure data, while guaranteeing data availability, greatly improves data management efficiency.

The invention relates to the field of multi-parameter observation disaster early warning, and discloses a marine disaster risk assessment method based on multi-parameter observation, which is used for solving the problems that a fixed sampling frequency cannot respond to emergencies in time, and a traditional method is difficult to update a disaster assessment result in time once meteorological sudden change or marine environment abnormity occurs. The method comprises the following steps of: processing and analyzing data, calculating to obtain a marine environment anomaly index, a meteorological anomaly index, a geological environment anomaly index and a sea level anomaly index, further calculating a comprehensive disaster risk coefficient, and comparing the comprehensive disaster risk coefficient with a historical disaster early warning threshold value to obtain a disaster early warning result. And judging whether the ocean data acquisition frequency needs to be adjusted or not, and predicting an environment change trend in a period of time in the future by combining with a machine learning model. The method has efficient disaster early warning and response capabilities, can improve the data acquisition efficiency to the maximum extent, optimizes the system performance, and reduces the resource waste.

The invention discloses a ConvLSTM sea level height change prediction method based on reduced gravity hypothesis, and the method is suitable for the prediction of global sea level height anomaly (SLA). The method comprises the following steps: S1, acquiring and preprocessing global satellite altimeter data; s2, based on a ConvLSTM model, extracting spatio-temporal characteristics of sea level height anomaly; s3, introducing wind stress data, and combining physical constraints of a reduced gravity model to enhance the prediction capability of the model for wind-driven Rogobby waves; and S4, outputting a high-precision sea level height prediction result through error evaluation and optimization. According to the method, global satellite altimeter data in 1993-2014 are used for training, experiments in a black tide extension sea area show that the prediction correlation coefficient reaches 0.98, the effective prediction time efficiency can reach 365 days, the performance is more excellent in a low-frequency change area, and the accuracy, stability and timeliness of sea level prediction are remarkably improved.

The invention discloses a sea level variation rate reconstruction method based on geometric algebraic feature learning, and the method achieves the high-precision reconstruction of a regional sea level variation rate time sequence through the unified representation of multi-dimensional sea variables through geometric algebraic, and the retention of the interaction among temperature, salinity and velocity components. Meanwhile, the adaptability of the model to local and global dynamic features is improved, and more reliable scientific support is provided for coastal risk assessment and climate adaptation strategies; a geometric algebraic convolution gating cycle unit, a time sequence context embedding module and a double-path feature enhancement module are further introduced, the space structure and time dependence features of the sea level variation rate can be more fully extracted, and then the reconstruction precision is improved.

This invention relates to the field of wind power generation technology, specifically to an extreme weather power prediction method based on typhoon path extrapolation, comprising the following steps: S100: acquiring initial typhoon path and sea level pressure data, inputting the data into a pre-trained spatiotemporal graph convolutional neural network coupled with a parameterized typhoon wind field model, and extrapolating to generate a macroscopic three-dimensional typhoon wind field spatiotemporal sequence covering the target wind farm area. This invention overturns the fixed wind speed shutdown judgment logic, introduces a single-unit dynamic cut-out probability model driven by multi-dimensional physical characteristics such as wind speed, turbulence, and vibration, and innovatively integrates it as a penalty factor into the site-level wake topology correction, perfectly restoring the real physical process of "gradual shutdown" and "probabilistic disappearance of wake" of wind turbine units during typhoon passage, and completely eliminating the "cliff-like" error in power prediction under extreme weather conditions.

A tissue treatment system (100) for providing a cold plasma treatment. A pulser (102) is configured to deliver in use a set of high-voltage pulses (Pp) to a plasma pad (101) for generating cold plasma of a pre-determined intensity. The pulser comprises a pulse modulation circuit (20) for controlling pulse width and / or pulse repetition frequency of the set of high-voltage pulses (Pp). A geospatial unit (103) is configured to determine geospatial information (M) of the pulser (102). A feedforward controller (104) is configured to perform a initialization of the pulser (102) prior to delivering the set of high-voltage pulses (Pp). The initialization comprises setting the pulse width and / or the pulse repetition frequency of the set of high-voltage pulses (Pp) based on a pre-determined relationship between the geospatial information (M) and the pre-determined intensity for generation of cold plasma that is substantially the same as at the sea level.

The present application relates to the field of drainage outlet structure, and particularly relates to a combined drainage outlet. The combined drainage outlet comprises a submerged dike and a water outlet buried in the submerged dike; the submerged dike has a trapezoidal cross section, and the top elevation is above the mean sea level; a first prefabricated drainage pipe extends from the coast to the submerged dike, and drains water through the water outlet. The submerged dike comprises a prefabricated tee joint, a second prefabricated drainage pipe connected to the prefabricated tee joint, and a third prefabricated drainage pipe connected to the second prefabricated drainage pipe, and the first prefabricated drainage pipe is connected to the prefabricated tee joint. The present application solves the problems of high cofferdam cost, easy impact of dredging and siltation after completion, landscape depression of the beach surface, and personnel safety risk.