35 results about "Metocean" patented technology

The utility model discloses a novel artificial weather influencing system. Meteorological environment data can be collected in a specified detection area through a pilotless aircraft; when it is determined that cloud-seeding operations can be carried out according to the meteorological environment data, the pilotless aircraft is controlled to ignite or scatter articles carried by the pilotless aircraft and used for artificial precipitation in the detection area. Compared with the prior art, due to the fact that the system does not need to be controlled manually by a pilot, labor resources cannot be much wasted in the artificial precipitation operation process. Meanwhile, a ground artificial precipitation subsystem serves as an effective addition for the pilotless aircraft to achieve the artificial precipitation operations, and accordingly the novel artificial weather influencing system can be used for completing the artificial precipitation operations through different artificial precipitation ways, and the success rate of the artificial precipitation operations is improved.

The invention discloses a multifunctional marine water area environment monitoring device. The device comprises a wave-resistant swash floating body, a laminated corrosion-resistant rack fixed at theupper part of the wave-resistant swash floating body, and an anchoring mechanism connected to the bottom of the wave-resistant swash floating body. The wave-resistant swash floating body is provided with a plurality of wave-dividing power generation unloading channels and swash load-bearing paddles used for restraining transient oscillation of the wave-resistant swash floating body and balancing upper pressure and lower pressure. A water inlet of each wave-dividing power generation unloading channel is located on the periphery or the side upper portion of the wave-resistant swash floating body, a water outlet of the wave-dividing power generation unloading channel is located at the bottom of the wave-resistant swash floating body, the swash load-bearing paddles are arranged at the bottom of the wave-resistant swash floating body, and the wave-resistant swash floating body is further provided with a plurality of monitors and sensors electrically connected with a data acquisition controller. The multifunctional marine water area environment monitoring device being a marine water area comprehensive real-time continuous monitoring device integrating multiple functions of marine water area pollution prediction and control, aquaculture and fishing, marine meteorological disaster prediction, navigation channel traffic and management law enforcement, ocean engineering and resource development, marine safety, military protection, marine science research and the like.

The invention relates to a method and a system for dynamically optimizing a meteorological route of an unmanned ship. The method comprises the following steps of: performing gridding processing on a ship navigation area to obtain a plurality of grid points; acquiring an initial route of the ship, and calculating evaluation values of all grid points in the navigation area; in the navigation processof the ship according to the initial route, comparing the grid point of the current position of the ship with the initial route in real time, and comparing real-time meteorological data with meteorological data of the corresponding grid point; in response to route deviation or meteorological data change, updating the evaluation value of the grid point between the column where the ship driving grid point is located and the end point according to the real-time meteorological data to obtain an updated grid point evaluation value; and determining an optimal route according to the updated grid point evaluation value. According to the method and the system, the dynamic optimization model of the meteorological route of the unmanned ship is established based on a dynamic programming recursive equation, the model performs gridding processing on the ship navigation sea area, the evaluation value is updated according to the real-time marine meteorological data, and the optimal route is obtainedaccording to the route evaluation value.

The invention provides an offshore wind plant operation and maintenance scheme generation method, device and equipment and a storage medium. The method comprises the following steps: acquiring basic data of an offshore wind plant, wherein the basic data of the offshore wind power plant comprises marine meteorological condition data, adjustable resource data, wind power plant fault data and unit cost data; constructing an offshore wind power operation and maintenance constraint condition according to the marine meteorological condition data, the adjustable resource data and the wind power plant fault data; constructing a mathematical optimization model based on the offshore wind power operation and maintenance constraint conditions and a preset objective function; and inputting the unit cost data into the mathematical optimization model for measurement and calculation, and screening and outputting a plurality of candidate operation and maintenance schemes according to a measurement and calculation result. The operation and maintenance plan scheme can be automatically scheduled and generated according to the characteristics of the operation and maintenance task of the offshore wind plant, so that the operation and maintenance efficiency of the offshore wind plant is improved.

The invention relates to a wave glider with an evaporative waveguide monitoring system. Through an evaporation waveguide electromagnetic channel monitoring system carried on a wave glider, a near seasurface channel monitoring link is established; according to application requirements, a motion path of the wave glider is planned; channel monitoring data and marine meteorological data of a specified sea area and a specified frequency are obtained; through a beidou communication technology, data information monitored in real time is transmitted to a shore-based service platform; and algorithms such as evaporation waveguide inversion, interpolation and the like are utilized to acquire large-area region evaporation waveguide distribution characteristics. The wave glider is wide in monitoring area, long in endurance time, real-time, accurate and the like, mass basic data accumulation, marine environment real-time monitoring and marine monitoring data sharing can be finally achieved, and data support and technical support are provided for marine and electromagnetic environment detection, spectrum management, electronic system aided decision making and the like.

A computer-implemented method for forecasting weather uses a trained machine learning model to determine the error in a weather forecast, e.g., for a selected ocean region. The machine learning model is configured to determine the predicted forecasting error given the weather forecast and a set of existing conditions. The weather forecast is adjusted using the predicted forecasting error to produce an augmented weather forecast. Training the machine learning model may include the utilization of hindcasting methods. Determination of existing conditions and other modeling may include the use of data from an array of metocean sensor nodes dispersed on a body of water.

The invention discloses an environmental risk early warning system for marine salvage. The system comprises a data storage module, a marine meteorological data acquisition module, a sea area risk assessment module, a ship route navigation risk assessment module, a salvage type risk assessment module and an early warning module. The data storage module is used for storing membership matrixes and weight coefficients of various risk factors of different types of rescue ships in different states; the marine meteorological data acquisition module is used for acquiring marine and meteorological data, and the sea area risk assessment module is used for assessing sea area navigation risk levels when a rescue ship navigates in a departure area and a rescue area; the ship route navigation risk evaluation module is used for evaluating the ship route navigation risk grade of the rescue ship when the rescue ship sails on the rescue ship route; the salvage type risk evaluation module is used for evaluating the rescue type risk grade when the rescue ship executes different rescue tasks; and the early warning module sends early warning information to the user. According to the invention, multi-dimensional evaluation and early warning can be carried out on the rescue risk of the rescue ship.

The invention provides a numerical mode sea surface wind speed correction method and device, electronic equipment and a storage medium. The method comprises steps of training a numerical mode sea surface wind speed correction model; obtaining numerical mode meteorological element data to be corrected; wherein the numerical mode meteorological element data comprises sea surface wind speed data; correcting the numerical mode meteorological element data according to a trained numerical mode sea surface wind speed correction model to obtain corrected numerical mode sea surface wind speed data; wherein the numerical mode sea surface wind speed correction model is obtained by training through a deep learning method based on historical numerical mode meteorological element data and space-time matching historical satellite remote sensing sea surface wind speed data. The method is advantaged in that the accurate numerical mode sea surface wind speed data can be obtained, the precision of the sea surface wind speed data in the numerical mode meteorological element data can be improved, the negative influence of the error on the subsequent application in the fields of marine meteorology and the like is effectively reduced, and the data application effect is effectively improved.

The invention discloses a data compression method suitable for marine meteorological visualization, which comprises the following steps of: step 1, reading original data, namely reading the original marine meteorological data, and extracting a time slice and meteorological element data; step 2, meteorological data preprocessing: performing integer processing on the original data; step 3, removingcorrelation of the meteorological data; and step 4, compressing code stream data and performing entropy coding on the meteorological data subjected to decorrelation. Compared with an existing data compression mode, the method is more suitable for compressing the data visually displayed by the marine meteorology, the characteristics of high real-time requirement and large data volume of traditionalmeteorological data are fully considered, the marine meteorological data can be compressed, the data repeatability is reduced, redundant labels are removed, and the data size is reduced to the maximum extent. The method specifically comprises the steps that 1, original data can be read; 2, truncating is performed according to the observation precision of the elements; and 3, the correlation of the meteorological data is removed; and 4, the marine meteorological data compression ratio is increased.

The invention relates to an anchorage buoy station data quality control method. The anchorage buoy station data comprises historical data, comparison data and mode data. The method comprises the stepsof: selecting an extreme value corresponding to each meteorological element according to the historical data to obtain a climatological boundary value corresponding to each meteorological element; correcting the historical data according to the climatological boundary value to obtain corrected data; respectively subjecting the comparison data and the corrected data to verification with the mode data according to a preset algorithm to obtain a verification result; and judging whether the climatological boundary value achieves position correction on the historical data according to the verification result. According to the technical scheme, powerful guarantee can be provided for construction and operation of a marine meteorological observation system in China, scientific research and actualbusiness requirements are combined, and especially in the aspect of anchorage buoy observation, the blank in the aspect of quality control over anchorage buoy observation data is filled up.

The invention discloses an intelligent dispatching method for offshore wind power ships. The method comprises the steps that maintenance resource information of a certain offshore wind power plant iscollected; obtaining a maritime maintenance task list; screening out a seakeeping operation time window according to seakeeping operation conditions through the marine meteorological forecast data andthe actually measured data of the wind field; and calculating an optimal operation and maintenance scheme by taking minimization of operation and maintenance cost as a target according to the obtained maintenance resources, the maintenance tasks and the sealable operation time window. According to the method, the optimal ship scheduling scheme is determined through an intelligent algorithm in combination with the maritime maintenance task, the maintenance resource information and the marine meteorological forecast data, the operation and maintenance cost is reduced, and the operation efficiency is improved.

The invention provides a marine salvage operation marine environment risk assessment system. The marine salvage operation marine environment risk assessment system comprises a salvage operation marinehydro-meteorological environment monitoring module, a salvage operation scene and influence factor data storage module, a salvage operation risk comprehensive grading assessment module and a salvageoperation risk information publishing module, and the salvage operation marine hydro-meteorological environment monitoring module is used for acquiring marine meteorological data of a sea area corresponding to the salvage platform; the salvage operation scene and influence factor data storage module is used for storing a membership degree matrix and a weight coefficient of each influence factor inthe marine hydro-meteorological environment information; the salvage operation risk comprehensive grading assessment module is used for calculating risk levels when the salvage platform executes different types of salvage operations; and the salvage operation risk information publishing module is used for sending the obtained risk level information to the user in real time. According to the system, complex simulation operation does not need to be carried out, and risk levels can be efficiently evaluated.

The invention discloses a tidal power generation device comprising a water storage chamber and a marine engine generating unit. The tidal power generation device is characterized in that a buoyancy chamber full of air is arranged at the lower part of the water storage chamber; an oil cylinder is arranged at the lower part of the buoyancy chamber; the oil cylinder is fixedly connected with a base; an oil outlet pipe and an oil inlet pipe are arranged at the bottom of the oil cylinder; the oil outlet pipe is communicated with a turbine generating unit through an oil outlet one-way valve; and the oil inlet pipe is communicated with an oil storage tank through an oil inlet one-way valve. With the adoption of the tidal power generation device, the problems that the traditional device is poor in self-starting property, low in efficiency and the like can be solved; the tidal power generation device has a good comprehensive property, and is particularly applicable to being used as a long-acting power supply electrode of a beacon light, marine hydrology remote-sensing equipment and maritime meteorology remote-sensing equipment with less electricity. Particularly, the tidal power generation device supplies power to coasts and island areas with inconvenience in traffic, difficulty in power supply or no normal power supply, and further supplies the power to coastal villages, garrisons, farms and the like.

The invention provides a marine meteorology-based wind power plant maintenance route calculation method and system, and the method comprises the steps: generating a navigation region through wind power plant position data and a port position, generating a route library map in the navigation region according to navigation ocean landform data, and supplementing and generating a basic route map through a large amount of historical marine meteorology data; generating a current route map through the current route ocean meteorological data; a user provides navigation data, generates an initial route on a current route map, feeds back the initial route to the user, selects the initial route, adjusts the initial route to generate a final planned route, verifies the final planned route to generate an actual route, and monitors and adjusts the actual route in real time until the user goes to the sea; and monitoring current meteorological data, obtaining navigation data, sharing meteorological data of a front waypoint area of an actual route to a user in real time, predicting meteorological change conditions in a future time period according to the current meteorological data, updating a previous route map, and sharing the previous route map to the user. According to the invention, the sea route can be quickly generated and monitored in real time, and weather conditions in front of the route are displayed in different areas, so that a detour route is formulated in advance, and the probability of ship return caused by disastrous weather is reduced.

The invention discloses a ship-sea collaborative refined air-sea observation method for a port. The method comprises the following steps: step 1, determining a small-scale to-be-observed area; step 2, acquiring real-time air-sea observation information in the to-be-observed area; 3, carrying out edge calculation on the real-time observation information, and integrating the real-time observation information into a data packet; 4, sending the data packet to a data center through a low-orbit satellite; step 5, the data center analyzes and excavates the received data packet, and forms air-sea forecasts for different operation ships and operation areas according to the ship operation type and operation area obtained in the step 1 by using a method of coupling three modes of atmosphere, ocean current and ocean wave; and step 6, releasing the air-sea forecast formed by the data center in the step 5 to a ship receiving end. According to the invention, different requirements of marine meteorological monitoring data for meteorological services can be met, and refined observation and forecast of port ship and marine meteorology cooperation are realized.

The invention discloses a sail propulsion device and a retracting mechanism for an unmanned marine vehicle, which includes four parts: a linkage retracting mechanism, a rotation angle adjustment mechanism, a sail, and a ballast keel, which are used to adjust the turning angle of the sail and realize the sail and the ballast keel. Toggles between expanded and collapsed states. In the unfolded state, the sail stands on the upper part of the aircraft along the Z axis and can rotate around the Z axis, and the ballast keels on both sides are closed under the hull; The sails are retracted to the middle and rear of the aircraft and parallel to the upper surface of the aircraft, and the ballast keels are placed on both sides of the aircraft and parallel to the XY plane. The device of the invention realizes the conversion of wind energy into the forward propulsion force of the marine unmanned aircraft, and at the same time prevents the aircraft from excessive heel angle and overturning during navigation; when the marine meteorological conditions are not suitable for using sails, the sails of the invention can The mechanism can realize the furling of the sail and protect the sail.

The invention relates to a method and system for dynamic optimization of the meteorological route of an unmanned ship. The method comprises: performing grid processing on the navigation area of ​​the ship to obtain a plurality of grid points; Calculate the evaluation value of grid points; during the navigation process of the ship according to the initial route, the grid points of the current position of the ship are compared with the initial route in real time, and the real-time meteorological data is compared with the meteorological data of the corresponding grid points; in response to the route Deviation or change of weather data, according to the real-time weather data, update the evaluation value of the grid point between the column where the ship is traveling and the end point to obtain the updated grid value; determine the best value according to the updated grid value. route. The present invention establishes a dynamic optimization model of the meteorological route of the unmanned ship based on the dynamic programming recursive equation, the model grids the sea area for the vessel to navigate, updates the evaluation value according to the real-time marine meteorological data, and obtains the best route according to the route evaluation value.

The invention provides a rotatable truss and a strength resistance evaluation method thereof, and belongs to the field of marine meteorological data acquisition, and the rotatable truss comprises a rotating structure, a truss rear main body and a truss front main body; the rotating structure comprises two pin shafts and a fixing pin; the two pin shafts are respectively connected with the truss front main body and the truss rear main body; the truss rear main body and the truss front main body are made of pultrusion carbon fiber reinforced composite material profiles; and the rotating structure is used for rotating the truss front body. The strength resistance evaluation method comprises the following steps: constructing a first truss structure model; applying the working condition parameters to the first truss structure model, and acquiring the strength resistance parameters of the first truss structure model under different working conditions; and comparing the strength parameters of the first truss structure model and the actual truss, and evaluating whether the actual truss meets the actual application requirements or not. According to the invention, marine hydrological detection equipment can be replaced conveniently; besides, wind load resistance can be judged in advance, and the safety of the truss in practical application is improved.

The invention provides a short-term ship navigational speed prediction method based on a time sequence random forest. The short-term ship navigational speed prediction method comprises the following steps of obtaining modeling data and performing data preprocessing; introducing the time sequence data into a random forest learner to construct a brand new prediction model framework; setting related parameters of the model; and predicting by using the model. According to the method, the short-term speed of the ship to water can be predicted by using the historical sailing speed of the ship and the marine weather forecast data, the phenomenon that the ship engine is directly used for monitoring the data in real time is avoided, the requirement for shipborne monitoring equipment is low, and meanwhile prediction and afterwards experimental analysis of the ship speed are achieved in advance. The mean absolute error (MAE), the root-mean-square error (RMSE) and the coefficient of determination (R2) of the model are superior to those of other three common models.

The invention relates to a data quality control method of an anchored buoy station, wherein the data of the anchored buoy station includes historical data, comparison data and model data, comprising the following steps: selecting an extremum corresponding to each meteorological element according to the historical data, Obtain the climatological limit value corresponding to each of the meteorological elements; correct the historical data according to the climatological limit value to obtain corrected data; respectively compare the comparison data and the corrected data with the The model data is verified to obtain a verification result; according to the verification result, it is judged whether the climatology threshold value is a positive correction to the historical data. In the technical scheme of the present invention, it can provide a strong guarantee for the construction and operation of my country's marine meteorological observation system, and combine scientific research with actual business needs, especially in the aspect of anchored buoy observation, filling the gap between anchored buoy observation Gaps in data quality control.

The invention discloses a maritime information processing method and system. The method comprises following steps: receiving a program execution instruction and obtaining maritime information; determining maritime types corresponding to maritime information; generating a ship detection result report according to maritime information if the maritime type is determined as ship target detection; generating an oil-overflow detection result report according to maritime information if the maritime type is determined as oil-overflow detection; and generating a maritime meteorology detection result report according to maritime information if the maritime type is determined as maritime meteorology.That is to say, a marine information processing system can call different detection modules according to types of marine information. Detection is performed via corresponding detection modules such that an integrated platform for remote sensing and a marine information system is formed; and the platform is utilized for advanced treatment of remote-sensing images and can satisfy the requirement for production of special products in the industry.

The invention discloses a ship-based marine meteorological monitoring device, comprising a base, the base is arranged in a square plate shape, a positioning bolt is threadedly installed at the four corners of the upper end surface of the base, and the center position of the upper end surface of the base is fixed. A driving mechanism is installed, and a shock absorbing mechanism is fixedly installed on the upper end of the driving mechanism. A round hole is opened at the upper port of the shock absorbing mechanism. A waterproof sealing ring is arranged in the inner hole wall of the round hole. The outer wall of the waterproof sealing ring is fixedly connected with the inner wall of the round hole. A monitoring mechanism is arranged above the shock mechanism. The present invention relates to a marine meteorological monitoring device based on a ship, which has the problems of good shock absorption performance and small error of the meteorological monitoring device. In order to avoid the impact of the instrument, the shock absorbing mechanism is designed so that after the ship encounters strong wind and waves, each shock absorbing mechanism reduces the vibration amplitude, thereby improving the accuracy of the data of the marine meteorological monitoring device.

The invention discloses a green energy, small waterplane and improved catamaran unmanned boat for marine environmental monitoring. The unmanned boat includes a superstructure, a small waterplane improved double-sheet body main boat body, a boat body monitoring and motion intelligent control system, a navigation planning and decision-making system, and an environmental monitoring system. The unmanned boat adopts a small waterplane catamaran as a carrier, optimal calculation is performed in boat type parameters of the small waterplane catamaran by comprehensive optimization software, a scheme with best navigation performance for a main function of marine meteorological monitoring is obtained, wave-making and interference resistance between sheet bodies are effectively reduced, through combination of the advantages of small wave-making resistance, large deck area, good wave resistance, small navigation resistance and good stability of the small waterplane catamaran itself, a stable working environment can be provided for various monitoring equipment, and its better navigation performance can meet working requirements of the unmanned boat in offshore and distant sea water areas.

The invention discloses a location-based offshore comprehensive service platform and a rescue method thereof, and relates to the technical field of offshore rescue, and the platform comprises a transmission module, an early warning service networking group, a weather networking group, a Beidou positioning networking group, a ship information storage, a map module, an acquisition module and a processing module. A ship terminal system collects the current geographic position, the current environment meteorological information and the marine environment information of a ship terminal area, and the marine meteorological information and the ship terminal position information are shared in real time. Collision of the ship terminal caused by severe weather and prevention in advance and avoidance of severe differences in time in severe weather are effectively avoided, sailing safety is improved, limitation of existing marine fishery information service is effectively changed, pertinence is high, the application range is wide, and in addition, the marine information server establishes ship information storage for targeted rescue, and the ship end shares the marine information in real time, so that the ship can be conveniently guided to rescue at the nearest maintenance point.

The present invention relates to a fault discrimination method for marine doubly-fed wind turbines considering marine meteorological factors, comprising the following steps: 1) obtaining the marginal distribution function corresponding to each variable according to the state variables of marine doubly-fed wind turbines and the historical data of marine meteorological factors, The variables include wind speed, power, temperature and turbulence; 2) construct the Copula density function model of each variable, combine variable historical normal data and fault data, adopt maximum likelihood estimation to carry out parameter estimation to each Copula density function model respectively , to obtain the optimal Copula density function model; 3) The kernel density function value and marginal distribution function value of the data to be tested are used as the input of the optimal Copula density function model, and the status of the fan is judged according to the Bayesian decision theory. Compared with the prior art, the invention has the advantages of comprehensive consideration, accurate prediction, improved service life and the like.

The invention discloses a tidal power generator. The tidal power generator comprises a water storage bin and a turbo-generator set. The tidal power generator is characterized in that a floating bin which is full of air is arranged at the lower part of the water storage bin; an oil cylinder is arranged at the lower part of the floating bin; the oil cylinder is fixedly connected with a base; an oil outlet tube and an oil inlet tube are arranged at the bottom of the oil cylinder; the oil outlet tube is communicated with the turbo-generator set by an oil outlet check valve; and the oil inlet tube is communicated with an oil storage tank by an oil inlet check valve. The tidal power generator overcomes the problems of poor self-starting performance, low efficiency and the like of the traditional device, has good integrated performance, is extremely suitable for being used as a long-term power supply for a marker light, a maritime hydrographic remote measuring device and a maritime meteorological remote measuring device which consume less electricity, and is in particular suitable for supplying power to coastal villages, garrison, farms and the like at seashore regions and island regions which are inconvenient in transportation, difficult to supply power or cannot be normally supplied with power.

The invention discloses a ship-ocean collaborative refinement air-sea observation method for a port, comprising the following steps: step 1: determining a small-scale area to be observed; step 2: obtaining real-time observation information of air-sea in the area to be observed; Step 3: Perform edge calculations on real-time observation information and integrate them into data packets; Step 4: Send the data packets to the data center through low-orbit satellites; Step 5: The data center analyzes and mines the received data packets, according to the steps The type of ship operation and the operation area obtained in 1, using the method of coupling the three modes of atmosphere, ocean current, and wave, form the air-sea forecast for different operating ships and operating areas; Step 6: The air-sea forecast formed by the data center in step 5 The forecast is released to the receiving end of the ship. The present invention can meet the different needs of meteorological services for marine meteorological monitoring data, and realize refined observation and forecasting of port ships and marine meteorological cooperation.

The invention belongs to the technical field of marine monitoring of ships, particularly relates to a marine meteorological monitoring device based on a ship, and aims to solve the problems that an existing marine meteorological monitoring device of a marine ship is poor in installation stability, does not have a damping effect, is prone to cause error increase due to stormy waves, is inconvenient to adjust in height and the monitoring precision is reduced. According to the technical scheme, the monitoring device comprises an installation table, a base, a monitoring assembly, an adjusting assembly, a buffering assembly and a mounting assembly, the monitoring assembly comprises a wind speed and wind direction monitor, a temperature and humidity monitor and an atmospheric pressure monitor, the wind speed and wind direction monitor, the temperature and humidity monitor and the atmospheric pressure monitor are all fixedly installed at the top of the installation table, and two supporting plates are both fixedly installed at the bottom of the installation table. The monitoring device is stably mounted and fixed through the mounting assembly, and the height of the monitoring device is adjusted through the adjusting assembly, so that the monitoring accuracy is improved.

The application provides a sea surface wind speed correction method, device, electronic equipment and storage medium in a numerical model, wherein the method includes: training a sea surface wind speed correction model in a numerical model; obtaining meteorological element data to be corrected in a numerical model; meteorological element data in a numerical model Including the sea surface wind speed data; according to the trained numerical model sea surface wind speed correction model, the numerical model meteorological element data is corrected to obtain the corrected numerical model sea surface wind speed data; wherein, the numerical model sea surface wind speed correction model is based on the historical numerical model meteorological element data and The historical satellite remote sensing sea surface wind speed data matched with time and space are obtained through deep learning method training. By implementing the embodiment of the present invention, accurate numerical model sea surface wind speed data can be obtained, the accuracy of sea surface wind speed data in the numerical model meteorological element data can be improved, the negative impact of its error on subsequent applications in marine meteorology and other fields can be effectively reduced, and the application of data can be effectively improved. Effect.