40 results about "Sea temperature" patented technology

The invention relates to the technical field of ocean dynamic environment intelligent forecasting, and provides a three-dimensional ocean dynamic environment intelligent forecasting method and device and electronic equipment, and the forecasting method comprises the steps: S1000, preparing 1 / 30-degree high-resolution ocean dynamic environment element data (three-dimensional temperature and salt flow and two-dimensional water level), and carrying out the normalization; s2000, selecting a corresponding model input sequence from the training set according to a forecasting strategy of the model; s3000, training a hierarchical feature projection network; and S4000: performing reverse normalization and generating future prediction data: performing reverse normalization on the feature-enhanced output data according to the maximum value and the minimum value of the ocean data, and finally generating a day-by-day prediction product of the sea surface height of the C sea, the three-dimensional sea temperature, the salinity, the latitudinal flow velocity and the longitude flow velocity with 1 / 30-degree high resolution in the future day, namely, the product is obtained by predicting the sea surface height of the C sea, the three-dimensional sea temperature, the salinity, the latitudinal flow velocity and the longitude flow velocity.

The invention discloses a sea temperature prediction method and system based on long-time modeling and cross-branch fusion, and belongs to the technical field of marine meteorological intelligent prediction and deep learning modeling. The method comprises the following steps: carrying out spatial feature coding on a standardized sea temperature time sequence image sequence by using a deep convolution encoder to obtain multi-level spatial features; performing two-dimensional discrete wavelet decomposition on the multilevel spatial features to obtain low-frequency approximate representation, horizontal singular features, vertical singular features and diagonal edge features, and inputting the features into a wavelet attention module to obtain short-term time sequence enhancement features; inputting the multi-level spatial features and the low-frequency approximate representation into a ConvLSTM module to obtain high-frequency dynamic enhancement features; and inputting the short-term time sequence enhancement feature and the high-frequency dynamic enhancement feature into a cross-branch attention fusion module to obtain a fusion feature, and sequentially inputting the fusion feature into an Informer time sequence encoder and a decoder to obtain a prediction result.

The invention provides an early warning method for sea surface temperature anomaly detection, which belongs to the technical field of ocean forecasting, and comprises the following steps of: constructing a multi-source sea temperature data fusion system and a multi-scale adaptive grid, generating a high-resolution temperature field by adopting ensemble Kalman filtering data assimilation, extracting an abnormal component by utilizing ensemble empirical mode decomposition, and carrying out early warning on the abnormal component. Multi-level anomaly discrimination is performed based on a sparse coding recognition model and fractal dimension mutation detection, anomaly types are distinguished in combination with an atmospheric compulsive event feature library and a random forest classifier, and partial differential equation inverse problem reverse deduction is performed on ocean endogenous anomaly to reconstruct a three-dimensional anomaly structure. And finally, the early warning level is determined through the early warning decision function and the multi-dimensional indexes, and the technical problem that the real-time performance and the accuracy of sea surface temperature anomaly detection are difficult to guarantee at the same time is solved.

The application discloses a seawater filter automatic deicing system utilizing ship waste heat, which comprises a seawater filter for leading outboard seawater from a ship sea chest to the ship for the whole ship use through a seawater main pipe, wherein the seawater filter communication end with the sea chest is taken as an import end, the seawater filter communication end with the ship system is taken as an export end, the seawater main pipe is provided with a seawater cooling system and a differential pressure sensor in parallel on both sides of the seawater filter, the seawater cooling system provides high-temperature cooling seawater for the automatic deicing system and is connected with a seawater cooling pipe discharge outboard pipe in series, and the differential pressure sensor monitors the pressure difference between both sides of the seawater filter in real time; temperature sensors are arranged on the seawater main pipe of the seawater filter export end and in the seawater cooling system to monitor seawater temperature in real time; and the automatic deicing system further comprises a remote control valve system, which realizes the control of seawater flow in each pipeline by controlling the opening of the remote control valve. The seawater filter is automatically deiced by utilizing the ship waste heat, the seawater filter is prevented from being blocked by ice blocks, and the navigation safety of the ship is ensured.

The utility model discloses a kind of compressed air energy storage systems suitable for marine environment, it is related to compressed air energy storage technical field.It includes including n group compressor, n group heat exchanger, n group cooler and closed cooling water system, it is sequentially connected through heat exchanger and cooler between adjacent compressor, nth group compressor is sequentially connected with gas storage through nth group heat exchanger and nth group cooler;Cooler one end is connected with seawater condenser closed water inlet through cooler closed water outlet pipeline, the other end is connected with seawater condenser closed water outlet through cooler closed water inlet pipeline.The utility model uses seawater as cooling water source, water source is stable, conducive to system stable operation;Adopt seawater as cold source, inexhaustible, and seawater temperature fluctuation is small, it can be regarded as constant temperature within 1 energy storage period, conducive to seawater condenser temperature control.

The invention relates to the technical field of meteorological short-term climate prediction, and discloses a temperature prediction method based on hybrid space-time neural network and multi-scale feature fusion. The method comprises the following steps: acquiring a historical temperature data sequence and a multi-source meteorological data sequence, wherein the multi-source meteorological data sequence comprises wind speed data, soil temperature data, snow cover data and sea temperature data; strict time sequence feature extraction is conducted on the historical temperature data sequence, a temperature short-term fluctuation feature set and a temperature long-term trend feature set are obtained, and it is ensured that only historical information is used without data leakage through strict time sequence feature extraction; and on the basis of the multi-source meteorological data sequence, the temperature short-term fluctuation feature group and the temperature long-term trend feature group, predicating through an improved LSTM neural network to obtain predicated temperature data of a preset number of days in the future. The accuracy of temperature prediction is improved by constructing a temperature short-term fluctuation feature group and a temperature long-term trend feature group during temperature prediction.

The invention is suitable for the field of marine meteorology, and provides a three-dimensional sea temperature space-time prediction method, which comprises the following steps: obtaining reanalysis data and numerical mode prediction data; and inputting the reanalysis data and the numerical mode prediction data into a pre-trained three-dimensional sea temperature intelligent prediction model to obtain a three-dimensional sea temperature space-time prediction result. According to the method, the spatial-temporal characteristics of the sea temperature change can be effectively captured, so that the prediction precision is improved, a high-precision sea temperature prediction result can be provided, good interpretability is achieved, and more powerful support is provided for scientific research and climate change response.

The application discloses a kind of umbilical cable complex environment simulation test devices for deep-sea mining, the device includes test box, ocean current simulation mechanism, vibration mechanism, guide mechanism, test piece installation mechanism, wind load simulation mechanism, monitoring component and temperature control mechanism.Test box inner cavity fills sea water solution to simulate seawater environment;Ocean current simulation mechanism is communicated with test box inner cavity, for driving sea water solution to produce controlled circulation flow to simulate deep-sea ocean current load;Vibration mechanism is set at the top of test box, for producing multi-degree-of-freedom vibration to simulate ship body movement load;Guide mechanism is arranged on the bearing surface of vibration mechanism, and the direction of test piece is guided by rolling element;Test piece installation mechanism is used to lock the two ends of test piece and apply controllable tension;Wind load simulation mechanism is towards test piece to simulate wind load;Monitoring component real-time acquisition environmental parameter and test piece state parameter;Temperature control mechanism is immersed in sea water solution to adjust temperature to simulate deep-sea temperature environment.

This application relates to the field of diving bells and discloses a multivariate correlation adjustment method for the thermal environment of a diving bell. The method includes: obtaining the current chamber air pressure, current chamber air temperature, and external seawater temperature of the diving bell; calculating the current helium heat dissipation coefficient inside the diving bell based on the chamber air pressure; using the helium heat dissipation coefficient, chamber air temperature, and external seawater temperature as input parameters, querying a pre-constructed heat exchange mapping table to obtain the current heat loss; generating a compensation valve opening for surface heating and a circulating fan speed constraint value for the chamber based on the current heat loss; adjusting the opening of the hot water flow valve based on the compensation valve opening and adjusting the circulating fan speed based on the circulating fan speed constraint value. This technical solution improves the accuracy of thermal environment adjustment.

This invention discloses a method for determining the self-flowing cooling range of a centralized seawater heat exchanger and a corresponding vessel. It is applied to a system for determining the self-flowing cooling range of a centralized seawater heat exchanger. The system includes a controller, a power switch, a first temperature sensor, a second temperature sensor, and a seawater pump, a centralized seawater heat exchanger, and a freshwater circuit connected in sequence. The method includes: obtaining the freshwater outlet temperature limit of the centralized seawater heat exchanger; obtaining the initial value of the upper limit of the self-flowing cooling seawater temperature of the centralized seawater heat exchanger; obtaining the seawater temperature and the freshwater outlet temperature of the centralized seawater heat exchanger; and determining whether to start or stop the seawater pump. The technical solution of this invention, by measuring the seawater inlet temperature and the freshwater outlet temperature, can continuously correct the seawater temperature limit of the self-flowing cooling of the centralized seawater heat exchanger, thereby enabling timely switching between starting and stopping the seawater pump, ensuring the efficient operation of the seawater cooling system, and providing significant economic benefits to vessel operation.

The invention is suitable for the field of meteorological prediction, and provides an El Nino power autonomous prediction method, device and equipment, and the method comprises the steps: obtaining historical reanalysis data and target surface sea temperature observation data; performing space-time matching on the target surface layer sea temperature observation data and historical reanalysis data to construct a target matching data set; pre-training the first neural network model, and establishing an initial mapping relation between the surface sea temperature and the deep sea temperature; carrying out transfer learning on a pre-trained first neural network model to obtain a second neural network model; inputting the target surface layer sea temperature observation data into the second neural network model, and reconstructing target three-dimensional sea temperature data; generating a target initial field based on an assimilation module of the El Nino power autonomous prediction model; and the El Nino power autonomous prediction model is driven by the target initial field to carry out prediction integration, and an El Nino prediction result is output. According to the method, the autonomy of the El Nino prediction is realized.

The application discloses a kind of long time dependence modeling and cross-branch fusion sea temperature prediction method and system in the technical field of marine weather intelligent prediction and deep learning modeling.The method comprises the following steps: using deep convolutional encoder to encode the spatial features of standardized sea temperature time series image sequence, obtaining multi-level spatial features; the multi-level spatial features are two-dimensionally discrete wavelet decomposed, to obtain low-frequency approximation representation, horizontal singular feature, vertical singular feature and diagonal edge feature, then input into wavelet attention module, to obtain short-term time series enhanced features;Multi-level spatial features and low-frequency approximation representation are input into ConvLSTM module, to obtain high-frequency dynamic enhancement features;Short-term time series enhanced features and high-frequency dynamic enhancement features are input into cross-branch attention fusion module, to obtain fusion features, then input into Informer time series encoder and decoder in turn, to obtain prediction results.

This invention discloses a marine dual-interface observation buoy, comprising a dual-interface temperature measurement mechanism, including an upper probe at the top of the buoy and a lower probe at the bottom; a dual-interface arrival and lifting mechanism for adjusting the buoy's buoyancy and achieving its raising and lowering; and a bottom-contact protection and seabed detachment mechanism for driving the lower probe to vibrate, allowing it to insert into and detach from the seabed. When the upper probe extends above the sea surface, it detects atmospheric temperature, and the lower probe detects seawater temperature; when the lower probe inserts into the seabed, the upper probe detects seawater temperature, and the lower probe detects seabed mud temperature. The buoy possesses dual-interface arrival capabilities at both the seabed-seawater interface and the seawater-atmosphere interface, enabling observation of heat exchange at these interfaces. It allows for soft landing on the seabed, smooth insertion of the lower probe into the seabed for observation, and reduces seabed mud resistance with low energy consumption, achieving rapid ascent.

This invention discloses a deep-sea flexible temperature sensor based on modified encapsulation and its encapsulation method, belonging to the field of marine environmental monitoring technology. The sensor includes a flexible circuit board, a first encapsulation layer covering the component surface, a chemical bonding interface formed between the two, and a hydrophobic and antifouling layer disposed on the outer surface of the first encapsulation layer; the hydrophobic and antifouling layer comprises a micro / nano rough structure and a low surface energy modified layer. The encapsulation method involves first pre-curing the first encapsulation layer, then activating it with plasma and modifying it with a silane coupling agent before chemically bonding it to the flexible circuit board. Next, nanoparticles are sprayed onto the outer surface to construct the micro / nano rough structure, and finally, a low surface energy modified layer is grafted. This invention achieves deep-sea pressure-resistant encapsulation through interface chemical enhancement, flexible mechanical buffering through low-modulus PDMS, antifouling stability through a nano-hydrophobic coating, and high-precision deep-sea temperature measurement through a ratio-based temperature measurement structure.

The application relates to a three-dimensional sea temperature monitoring method, which is based on low-resolution sea temperature background data, meteorological data and geographical feature data of a sea area to be monitored, predicts residual errors through a sea surface temperature reconstruction model, superimposes the residual errors on the low-resolution sea temperature background data, obtains high-resolution sea temperature parameters of each region of the sea surface, and improves the accuracy and physical consistency of the sea surface temperature parameters. In deep sea temperature inversion, based on biochemical environmental data and high-resolution surface sea temperature parameters, the sea temperature parameters of each depth region of the sea area to be monitored are predicted through a deep sea temperature prediction model, and the heat exchange law is more accurately reflected. The surface reconstruction and the deep inversion are combined, a connection mechanism is established, information is collaboratively integrated, complete and coherent three-dimensional sea temperature data are output, and reliable support is provided for marine heat transport calculation and other applications.

The invention discloses an evaluation method for predicting the fatigue life of a deep-sea flexible pipeline, and the method comprises the steps: calculating a product of a preset corrosion coefficient, a preset flow velocity sensitive index power of a seawater flow velocity and a correction index factor of a seawater temperature, so as to obtain an instantaneous corrosion damage rate and accumulated corrosion damage, calculating the product of the reference elastic modulus and the temperature sensitive correction term to obtain the elastic modulus, and calculating the ratio of the product of a preset stress coefficient and the square of the seawater flow velocity to the elastic modulus to obtain the bending stress, and calculating the product of the preset fatigue damage coefficient, the seawater flow velocity and the preset material fatigue sensitivity index power of the bending stress to obtain a fatigue damage rate and accumulated fatigue damage, obtaining total accumulated damage through a nonlinear interactive coupling model, and obtaining the total service life through a linear correlation model. Therefore, the coupling effect of the seawater flow velocity and temperature and the interaction effect of corrosion and fatigue damage can be comprehensively considered, and the precision of predicting the fatigue life of the deep-sea flexible pipeline is improved.

The invention relates to the technical field of marine environment monitoring and optical sensing, and discloses a seawater surface temperature and salinity synchronous measurement system and a measurement method. The system comprises a light source module; the optical sensing module is arranged on the surface layer of seawater and is in direct contact with a seawater medium, and an output light field with statistical characteristics is formed under the interaction of light and seawater; the light field sampling module is used for sampling the intensity distribution of the output light field to obtain light field statistical data; and the data processing module is used for constructing a probability model of light field intensity distribution based on the light field statistical data, extracting a statistical entropy characteristic quantity representing the overall statistical state of the output light field, and performing inversion by utilizing a response relationship of the statistical entropy characteristic quantity along with the change of the seawater temperature and salinity to obtain the seawater surface temperature and salinity. The device takes the overall statistical state of the light field as a sensing core, has the advantages of high environmental disturbance resistance, general structure, easiness in platform integration and the like, and is suitable for long-term in-situ monitoring of platforms such as ocean buoys and floating balls.

The invention discloses a ship ultraviolet light organism adhesion prevention device and method fused with visual analysis, and relates to the technical field of ship antifouling, and the method comprises the steps: obtaining the type of an organism adhered to a ship body; a target frequency corresponding to the biological type is obtained, the action range of the ultraviolet lamp set at the installation position is obtained through analysis, and the part, below the water surface, of the ship body is divided into at least one local area; analyzing to obtain the real-time seawater temperature of the local area, analyzing to obtain the real-time seawater flow velocity and the biological distribution condition of the local area, and setting the operation frequency of the ultraviolet lamp group corresponding to the local area; and establishing an ultraviolet lamp intensity loss model, and setting the operation intensity of the ultraviolet lamp group corresponding to the local area. The biological distribution condition, the real-time seawater temperature and the real-time seawater flow velocity are obtained in an image analysis mode, and the established ultraviolet lamp intensity loss model is combined, so that the illumination setting is consistent with the actual condition as much as possible, the energy efficiency is improved, and the illumination mode is optimized.

The invention belongs to the technical field of ship cooling systems, and discloses a seawater storage cabin cooling system and a ship, the seawater storage cabin cooling system comprises a seawater storage cabin, a baffle plate, an adjustable blade and an adjustable guide plate assembly, the seawater storage cabin is provided with a water inlet and a water outlet; a water inlet and a water outlet of the seawater storage cabin are connected with a water outlet and a water inlet of the central cooling system through pipelines respectively, the baffle is installed in the seawater storage cabin and located between the water inlet and the water outlet, the adjustable blade is located on the side, back to the water inlet, of the baffle, and the angle of the adjustable blade relative to the baffle is adjustable. The adjustable flow guide plate assembly is installed in the seawater storage cabin and arranged between the adjustable blade and the water outlet, and the angle of the adjustable flow guide plate assembly relative to the seawater storage cabin is adjustable. According to the seawater storage cabin cooling system and the ship, the internal circulation time can be prolonged, it is guaranteed that the seawater temperature is sufficient and uniform, the heat exchange efficiency is improved, and therefore reliable operation of the ship is guaranteed.

The present application relates to the field of ship equipment cooling, and discloses a ship cooling water control system and a control method, wherein seawater output by a seawater cooling unit and fresh water output by a fresh water cooling unit are heat exchanged in a central cooler; the central cooler is connected with a second input end of a three-way temperature control valve to input the heat-exchanged fresh water into the three-way temperature control valve, and the three-way temperature control valve is connected with an equipment unit; a first frequency converter is arranged between a control unit and the seawater cooling unit; a second frequency converter is arranged between the control unit and the fresh water cooling unit; the control unit is further electrically connected with a third temperature sensor; when it is necessary to control the cooling water system, the three-way temperature control valve, the seawater cooling unit and the fresh water cooling unit are controlled by the control unit, the real-time seawater temperature, the cooling water demand and the working load from the outside world are introduced to more intelligently regulate and control the operating power of the seawater cooling unit and the fresh water cooling unit, and the energy-saving effect is realized while the cooling demand of the equipment unit is maintained.

This invention discloses a marine dual-interface observation buoy, comprising a dual-interface temperature measurement mechanism, including an upper probe at the top of the buoy and a lower probe at the bottom; a dual-interface arrival and lifting mechanism for adjusting the buoy's buoyancy and achieving its raising and lowering; and a bottom-contact protection and seabed detachment mechanism for driving the lower probe to vibrate, allowing it to insert into and detach from the seabed. When the upper probe extends above the sea surface, it detects atmospheric temperature, and the lower probe detects seawater temperature; when the lower probe inserts into the seabed, the upper probe detects seawater temperature, and the lower probe detects seabed mud temperature. The buoy possesses dual-interface arrival capabilities at both the seabed-seawater interface and the seawater-atmosphere interface, enabling observation of heat exchange at these interfaces. It allows for soft landing on the seabed, smooth insertion of the lower probe into the seabed for observation, and reduces seabed mud resistance with low energy consumption, achieving rapid ascent.

The invention is suitable for the field of marine meteorology, and provides an error correction method, device and equipment for El Nino prediction, and the method comprises the steps: obtaining sea temperature field post-report data in a target time period; extracting surface layer sea temperature post-report data from the sea temperature field post-report data, and performing sample averaging operation on the surface layer sea temperature post-report data to obtain surface layer sea temperature feature data; acquiring surface layer sea temperature label data in a target time period; training a random forest model according to the surface layer sea temperature feature data in the target time period, the surface layer sea temperature label data in the target time period and a preset model training algorithm to obtain a trained random forest error correction model; and receiving an El Nino real-time prediction result, and inputting the El Nino real-time prediction result into the random forest error correction model to obtain an El Nino final prediction result. The method can adapt to different climate conditions and marine environments, and systematic deviation in real-time prediction can be corrected.

The application discloses a kind of surface layer sea temperature spatio-temporal prediction methods of fusing physical perception, belong to the spatio-temporal prediction field for sea temperature, including: selecting surface layer sea temperature spatio-temporal dataset, define surface layer sea temperature spatio-temporal prediction task;Build the surface layer sea temperature spatio-temporal prediction model of fusing physical perception;The model includes five main modules: feature embedding module, double-path space encoder, time attention module, spatial cross-attention mechanism and adaptive residual prediction module;In double-path space encoder, the global spatial features of surface layer sea temperature are captured by Fourier neural operator with physical perception;At the same time, gradient loss with physical perception constraint is also integrated in the loss function.The spatio-temporal model constructed by combining time and space attention mechanism can improve the accuracy and reliability of surface layer sea temperature prediction by considering global and local spatial features on the basis of fusing physical perception of surface layer sea temperature.

The FVCOM-SWAVE-based marine meteorological numerical forecasting method disclosed by the invention aims to deeply explore the influence process and the action mechanism of wave-induced Stokes drifting on the temperature of the upper layer of the ocean under extreme weather conditions, explore and compare the sea wave action before and after typhoon passing through a series of sensitivity experiments by utilizing a coupling numerical mode FVCOM-SWAVE, and finally predict the sea weather. And the influence mechanism and contribution to the sea temperature are realized.

Disclosed are a method and an apparatus for controlling the temperature of seawater used for a ship exterior washing device, wherein seawater is introduced, the introduced seawater undergoes heat exchange, the atmospheric temperature is measured on the ship, the introduced seawater and the heat-exchanged seawater are mixed on the basis of the measured atmospheric temperature, and same is applied to the hull of the ship through the ship exterior washing device.

The invention belongs to the technical field of sea temperature complementation, and particularly relates to a sea temperature complementation method and system based on space-time prior and a flow matching generation model. The method comprises the following steps: inputting sea surface temperature SST data, weekly mean value SST data and a mask for four continuous days of the sea surface, carrying out rough completion of space-time residual learning, introducing a lightweight 3D-CNN space-time residual learning mechanism, obtaining a rough completion graph, and explicitly modeling a space-time evolution rule of sea temperature data; then, introducing a conditional flow matching generation strategy based on optimal transmission into the repair of a total image generated by conditional flow matching, and carrying out refined reconstruction on the roughly completed image to obtain a complete sea surface temperature image; a curved and random Markov chain sampling path in a traditional denoising diffusion probability model DDPM is replaced, the problem that the reasoning efficiency is low due to dependence on hundreds of steps of random denoising is solved, and efficient reasoning under the condition of few steps is achieved.

The application relates to the field of marine environment monitoring and optical sensing technology, and discloses a seawater surface layer temperature and salinity synchronous measurement system and a measurement method. The system comprises a light source module; an optical sensing module arranged at the seawater surface layer and directly contacted with seawater medium, which forms an output light field with statistical characteristics under the interaction of light and seawater; a light field sampling module which samples the intensity distribution of the output light field and obtains light field statistical data; and a data processing module which constructs a probability model of the light field intensity distribution based on the light field statistical data, extracts a statistical entropy characteristic quantity representing the overall statistical state of the output light field, and inversely obtains the seawater surface layer temperature and salinity by using the response relationship of the statistical entropy characteristic quantity with the seawater temperature and salinity. The application takes the overall statistical state of the light field as the sensing core, has the advantages of strong environmental disturbance resistance, universal structure, easy platform integration and the like, and is suitable for long-term in-situ monitoring of marine buoys, floating balls and the like platforms.

The utility model provides a seawater desalination salt-making device, and relates to the technical field of seawater desalination. Comprising a treatment frame, a plurality of water guide strips are arranged at the inner bottom of the treatment frame, and a fresh water collecting plate is fixed to the inner center of the treatment frame. Under the irradiation of sunlight, the temperature in the treatment frame is increased, so that the temperature of seawater is increased, meanwhile, the seawater is boiled in a vacuum environment, a large amount of water vapor is generated, and the water vapor and fresh water are guided into a primary collection tank through a first fresh water discharge pipe and a steam discharge pipe; the high-concentration brine is guided into the secondary collecting tank through the first brine discharging pipe, and the desalinated brine is directly conveyed to the salt manufacturing process through the secondary collecting tank, so that the situation that the marine ecology is polluted by high-salinity wastewater discharge is avoided.

The application discloses a method for assimilating FY satellite sea surface temperature data based on set optimal interpolation, which comprises the following steps: obtaining multi-source sea temperature observation data and a numerical prediction model in the same region to construct a data set; calculating the correlation of each data point in the region with the sea temperature observation data and the numerical prediction model, and giving the data point a corresponding weight according to the correlation result; generating an interpolation result by using the optimal interpolation method to interpolate the sea temperature observation data based on the weight; and updating the numerical prediction model according to the interpolation result. The method has the advantages that: the multi-source sea temperature observation data are fused, the weight is generated according to the correlation of the sea temperature observation data and the numerical prediction model, the optimal interpolation method is used to interpolate the sea temperature observation data, the prediction deviation of the numerical model is corrected by using the data assimilation method, and a more reliable sea surface temperature distribution map is obtained.