145 results about "Ocean observations" patented technology

The invention provides an ocean wind field prediction method based on a neural network, and belongs to the technical field of ocean wind field prediction.The method comprises the steps that sparse ocean observation data are collected, a spatial covariance matrix is established, the spatial covariance matrix is converted into a graph structure, and then multi-hop neighborhood feature aggregation is conducted through a graph convolutional network; a tensor decomposition algorithm is combined for modeling high-order feature interaction to generate a gridding wind field, a bidirectional long-short-term memory network encoder is used for extracting space-time invariant features, a multi-layer perceptron predictor is used for directly mapping a future multi-step wind field, and a course learning strategy and a Shenchang differential equation boundary layer are matched for correction. The technical problem that sparse ocean observation data are difficult to accurately reconstruct into a high-resolution gridding wind field is solved.

The invention discloses an ocean three-dimensional temperature field reconstruction method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-source heterogeneous ocean observation data and a numerical model background field, and generating an input feature group; performing feature extraction on the input feature group by using a double-branch encoder; the extracted features are input to a multi-head space-time channel attention fusion module for dynamic calibration and fusion, and deep fusion hidden variables are obtained; jointly inputting the deeply fused hidden variables and the numerical model background field into a decoder based on a conditional variation auto-encoder, generating high-resolution three-dimensional temperature field grid data, and synchronously outputting a three-dimensional uncertainty field; according to the method, the continuous, complete and high-precision ocean three-dimensional temperature field in the whole research area is reconstructed through a mathematical method and a physical method by utilizing limited, sparse, multi-source and heterogeneous ocean observation data, and the problem that the ocean three-dimensional temperature field generated in the prior art is not accurate enough is solved.

The invention provides an automatic processing method for real-time observation data of an ocean station, and belongs to the technical field of ocean observation data processing. A wavelet packet decomposition multi-scale noise separation algorithm is established to distinguish environmental noise and real signals, dual-sensor redundancy configuration is combined with Bayesian inference to identify sensor drift, and a calibration coefficient is updated in real time through a recursive least square method. A one-dimensional time sequence is mapped to a high-dimensional phase space by utilizing a phase space reconstruction algorithm to realize high-precision prediction of a chaotic signal, a hierarchical data storage architecture is established, and a data migration strategy is iteratively optimized through a hierarchical correlation degree function; the technical problem that time synchronization signals are difficult to reconstruct accurately according to asynchronous sampling data of multiple sensors of an ocean station is solved.

The invention provides a coastal water level prediction method based on multi-modal observation data, and belongs to the technical field of coastal water level prediction.The coastal water level prediction method comprises the steps that multi-modal ocean observation data of different sensors are collected, and a multi-scale space-time registration matrix is established to achieve space-time alignment of heterogeneous data; an ocean dynamic process feature extractor is constructed to recognize astronomical storm surge and wave features and calculate nonlinear coupling parameters, an adaptive space-time fusion algorithm is adopted to dynamically adjust weights according to data quality to generate a space-time consistency data set, and an ocean dynamic coupling strength discrimination model is established to determine a modeling strategy. And finally generating a coastal water level prediction product containing a predicted value confidence interval and risk early warning. The technical problem of insufficient coastal water level prediction precision caused by difficult effective fusion of multi-modal ocean observation data under the condition of spatial-temporal scale mismatching is solved.

The invention discloses an XBT-T5 observation data deviation analysis and temperature correction method, and relates to the technical field of ocean observation, and the method comprises the steps: obtaining the original temperature observation data of a target sea area based on an XBT-T5 front-end temperature sensor, calculating the depth, generating a temperature-depth profile, and constructing a temperature-depth database in combination with historical depth observation archive data; the method comprises the following steps: synchronously acquiring temperature and depth data by using a CTD temperature-salinity-depth instrument, and carrying out association pairing with a temperature-depth database to generate an XBT-T5 observation data deviation field under the same spatial-temporal scale; based on generation of an XBT-T5 observation data deviation field under the same spatial-temporal scale, designing a dual-channel adaptive encoder, and constructing a temperature-depth collaborative correction model; and according to the temperature-depth collaborative correction model, coupling the temperature-depth database and generating an XBT-T5 observation data deviation field under the same spatial-temporal scale, thereby realizing XBT-T5 observation data deviation analysis and temperature correction. The method improves the quality and application value of observation data.

The invention relates to a wave height parameter correction method and system for low-angle laser radar observation data, and relates to the technical field of ocean observation data processing, and the method comprises the steps: carrying out the smoothing and data cleaning processing of original wave height data, so as to construct a fitting model of polynomial and Gaussian global trend analysis; and then, through double-model dynamic fusion, polynomial short-term fluctuation capture and Gaussian long-term trend capture are deeply combined, so that the generalization ability of the model is improved. And finally, intelligent reference interval positioning is introduced to adapt to wave height distribution changes in different periods and positions, excessive correction is avoided in combination with introduced correction factors, accurate correction data are obtained, the problem that the wave height is attenuated along with the distance is solved, and the efficiency and reliability of correction processing are remarkably improved.

The invention relates to the technical field of ocean observation, in particular to an intelligent quality control system and method for ocean survey data, which takes whole-process data quality closed-loop management and control as a core, proposes an element-standard-process three-dimensional quality control framework, constructs a real-time and timing dual-mode architecture, and integrates a whole-chain visualization and non-intervention automation technology. By extracting more than 40 differentiated quality control elements of more than 10 types of data, a four-layer quantitative standard of equipment state-parameter setting-data integrity-operation compliance is established, and closed-loop control of the whole process is standardized. The error condition detection rate of the system reaches 89% or above, the manual quality control time cost is reduced by 90% or above, the quality control time efficiency is compressed to the real-time / timing hour level, paradigm innovation from post-event error correction to real-time intelligent management and control is achieved, core support is provided for high-quality collection and high-reliability application of ocean survey data, and the method is suitable for various ocean comprehensive scientific investigation scenes.

The invention discloses a land-based data automatic receiving and preprocessing management system and method, and relates to the technical field of ocean observation data processing, and the system comprises a communication service subsystem, a data preprocessing subsystem, an intelligent perception linkage subsystem, and a data management subsystem. And full-process automatic processing of underwater acoustic real-time communication subsurface buoy observation data is realized through modular integration. Automatic receiving, safe storage and efficient preprocessing of deep sea power and biogeochemical element data are achieved, reliable data support is provided for marine scientific research and environment monitoring, and the long-term observation requirement of a 6000-meter water depth subsurface buoy system is met.

The invention relates to the technical field of international marine scientific investigation collaborative technology and mutual identification, and discloses an international marine observation data fusion and achievement mutual identification system suitable for joint scientific investigation. Comprising a multi-source data standardization access module, a polar region adaptive intelligent fusion module, an international achievement mutual recognition standard and verification module, a hierarchical sharing and mutual recognition process management module, a collaborative iteration and operation and maintenance management module, a block chain full-process traceability system and an international joint collaborative operation and maintenance mechanism. According to the system, the problem of international data heterogeneity is solved through multi-source data standardization preprocessing, accurate data fusion under polar region / open sea complex working conditions is realized by utilizing an intelligent fusion technology, a mutual recognition system of bidirectional verification is established, and the traceability of the whole process is ensured by adopting a block chain. The system supports hierarchical sharing and dynamic iterative optimization, is cooperatively operated and maintained by two international parties, guarantees long-term adaptation to standard updating and equipment iteration of the two parties, and effectively improves the joint scientific investigation data sharing efficiency and the result mutual recognition credibility.

The invention relates to the technical field of ocean observation, in particular to an ocean power and biochemical element observation system aiming at different observation requirements, which comprises a submersible specimen body, an intelligent sensing module, a multi-mode communication module, a multi-element observation module and a main control module, the technical problems that an existing observation system is incomplete in communication architecture, lack of intelligent perception, insufficient in multi-element synchronization, low in data transmission reliability and poor in adaptability are solved, and full-water-depth, multi-scene and high-precision ocean power and biochemical element collaborative observation is achieved.

The invention relates to the technical field of ocean observation, in particular to a hydrate reservoir information in-situ monitoring device. Comprising a monitoring box body; a metal grating plate is arranged at the bottom of the monitoring box body, and hydrate reservoir sediments can enter the monitoring box body through grating holes in the metal grating plate; a dissolved oxygen sensor, a pH sensor, a Raman probe rod and a resistivity probe rod are sequentially arranged in the monitoring box body from top to bottom, and a water tank camera is arranged on the side wall of the monitoring box body; a plurality of annular electrodes are arranged on the resistivity feeler lever in the circumferential direction of the feeler lever at intervals, and each annular electrode is connected with an annular electrode distance adjusting mechanism and an annular electrode aperture adjusting mechanism. And in-situ monitoring of the hydrate reservoir can be realized.

The invention relates to the technical field of deep sea communication and ocean observation, in particular to a long-term stable real-time communication system based on domestic satellites under high sea conditions. Comprising a submerged buoy body, the submerged buoy body is provided with a communication floating body module, a multi-source domestic satellite communication module, a low-power-consumption control module and a data processing module which are electrically connected in sequence, and an intelligent sensing module and an underwater data access module which are respectively connected with the data processing module; the device further comprises a main floating body. The system can be widely applied to deep-sea subsurface buoy platforms, marine environment monitoring stations, deep-sea scientific investigation equipment and other scenes, realizes real-time transmission of hydrodynamic and biogeochemical multi-element synchronous observation data at the water depth of 0-6000 meters, and supports research on the dynamic process of isolated waves, near-inertia internal waves and the like in the ocean and safety guarantee of the marine environment.

The invention provides a geographic element spatio-temporal topology establishment method for a large ocean forecast disaster reduction model, and belongs to the technical field of ocean observation forecast. Multi-source heterogeneous ocean data is fused and cleaned in real time, sparse data complementation of physical constraints is realized by using a temperature-salt flow collaborative interpolation model and a graph neural network, and the real-time fusion and cleaning of the multi-source heterogeneous ocean data are realized. A spatial index is established based on quadtree Z curve coding, a main filter and an auxiliary filter are executed in parallel through a GPU double-layer sub-thread grid to achieve millisecond-level query response, and local increment updating is conducted on a topological relation through spatial partitioning and an event-driven mechanism. Bayesian Kriging interpolation and Monte Carlo simulation are introduced to add confidence labels for topological nodes to quantify uncertainty, and finally standardized spatio-temporal topological relation data are output, so that the technical problem that a large ocean forecast disaster reduction model is difficult to understand and a geographic element spatio-temporal topological relation under the condition of observation forecast data is efficiently constructed is solved.

The invention discloses a self-defined ocean observation data storage method, device and equipment and a medium, and relates to the technical field of data processing, and the method comprises the steps: creating and maintaining an ocean environment element data label library which can be edited by a user in a database; the element data label library is used for storing and managing predefined marine environment element data labels; based on the label library, responding to the selection operation, and constructing a database table template of a set structure through the selected data labels and the self-defined fields; the ocean observation equipment to be accessed is associated and bound with the constructed database table template; and in response to the association binding, automatically generating a data storage table corresponding to the marine observation equipment according to the associated database table template so as to receive and store observation data of the marine observation equipment and form a marine environment data knowledge base decoupled from the marine observation equipment. According to the method, the storage capacity of the multi-source heterogeneous data of the marine environment data management system is improved.

A method includes converting, via a wavelet transform, (i) data associated with a prior ocean state forecast to wavelet space prior ocean state data and (ii) ocean observations to wavelet space observation data, and then filtering the wavelet space observation data. The method includes generating a correction value based on a difference between the wavelet space prior ocean state data and the filtered observation data, and determining a wavelet space increment value based on (i) the generated correction value, (ii) an error covariance associated with the prior ocean state forecast, and (iii) an error covariance associated with the ocean observations. The method includes converting, via an inverse of the wavelet transform, the wavelet space increment value to a physical space increment value, and generating a current ocean state forecast based on (i) the converted physical space increment value and (ii) a background state associated with the prior ocean state forecast.

The invention belongs to the technical field of ocean engineering and ocean observation, and relates to an ocean sensor long-term test device and method based on an autonomous underwater vehicle. The method comprises the following steps: executing a marine environment observation task, and storing an observation data sequence in a second AUV in real time; continuously monitoring the electric quantity state and the storage space occupancy rate, and when the electric quantity state is lower than a preset electric quantity threshold value or the storage space occupancy rate reaches a preset storage threshold value, generating a corresponding energy supplement demand signal or a data transmission demand signal; analyzing and judging the generated energy complementing demand signal or data transmission demand signal to determine an energy complementing mode or a data transmission mode; performing joint optimization on the energy complementing path or the data transmission path and the observation path after energy complementing or data transmission is completed, and generating a path planning result of multi-device cooperative operation and a corresponding scheduling strategy; and based on the path planning result and the scheduling strategy, related equipment is controlled to execute corresponding energy complementing operation or observation data transmission operation.

The application discloses a kind of multi-group one-dimensional frequency energy density spectrum ratio measurement precision evaluation method and system, belong to marine observation technical field, comprising: the training data sample of establishing including M group synchronous observation sea wave one-dimensional frequency energy density spectrum sequence;21 similarity evaluation value sequences are constructed;21 similarity evaluation value sequences are sorted according to the order of evaluation value from big to small, and at least two dimensions in sequence segmented average, overall average, fluctuation amplitude, fluctuation rate, distribution concentration and dispersion degree are analyzed, to determine the comprehensive weight coefficient of 21 similarity evaluation values;The one-dimensional frequency energy density spectrum sequence of two synchronous observations to be evaluated is obtained, and the corresponding 21 similarity evaluation values thereof are calculated;The final similarity evaluation value NRD is calculated, to evaluate the ratio measurement precision of two to be evaluated sequences.The application constructs a multidimensional evaluation system, can comprehensively reflect the similarity of two sea wave spectrum sequences.

This invention relates to the field of marine observation data processing technology, specifically a method for quality control and evaluation of real-time communication mooring data, comprising the following steps: data preprocessing to obtain preprocessed data; multi-dimensional anomaly identification of the preprocessed data, removing anomalies to obtain data to be verified; multi-node spatiotemporal synchronization verification of the data to be verified to obtain synchronized data; adaptive consistency verification of the synchronized data using an internal wave mode; checking the presence of internal wave data observation signals on the synchronized data after consistency verification; and data quality level evaluation. This invention solves the data deviation problem caused by resetting the coefficients of inductively coupled sensors, achieving dual quality control of real-time data and post-corrected data; it constructs a data quality evaluation system adapted to deep-sea real-time communication moorings, quantifies data quality levels, and provides a basis for data reliability in marine scientific research.

This invention discloses a passive buoyancy compensation method using gas-liquid mixing for profiling buoys, belonging to the field of buoyancy adjustment technology for marine observation buoys. This method constructs a passive buoyancy compensation system containing gas and liquid chambers, and adjusts the gas-liquid volume ratio to achieve linear and continuous adjustment of the system's equivalent compressibility coefficient, dynamically matching the compression characteristics of seawater at different depths. A mathematical model of the overall force on the buoy is established to determine system design parameters. Sensors are deployed to collect buoy depth and axial acceleration data, calculate motion parameters, predict and estimate the depth, and compare it with the target depth. When the deviation threshold is exceeded, an active fine-tuning judgment process is initiated. Active adjustment is disabled during the inertial-dominated phase, and during the non-inertial phase, the controller sends a fine-tuning command to the active buoyancy system to execute reverse buoyancy adjustment. The passive buoyancy compensation method using gas-liquid mixing provided by this invention can achieve low-power buoyancy control with passive adjustment as the primary method and active adjustment as a secondary method, effectively extending the underwater operational life of the buoy.

The application relates to a wave height parameter correction method and system for low-angle laser radar observation data, and relates to the technical field of ocean observation data processing. The method comprises the following steps: firstly, performing smoothing and data cleaning processing on original wave height data to construct a fitting model of polynomial and Gaussian global trend analysis. Then, through dynamic fusion of double models, the depth of capturing short-term fluctuations of the polynomial and capturing long-term trends of the Gaussian is combined, and the model generalization ability is improved. Finally, intelligent reference interval positioning is introduced to adapt to the wave height distribution changes in different periods and positions, and a correction factor is introduced to avoid over-correction, so that accurate correction data is obtained, the problem of wave height attenuation with distance is solved, and the efficiency and reliability of the correction processing are significantly improved.

Provided herein is an integrated preprocessing system and method for observation data of an ocean data assimilation system, which can maximize efficiency in overall processes of observation data collection, quality control, data processing, and operation management, and enhance the stability and reliability of the preprocessing process. The integrated preprocessing system for observation data of an ocean data assimilation system according to the present disclosure includes: an observation data collection unit configured to collect ocean observation data required for the ocean data assimilation system; a data processing unit configured to perform quality control on the collected observation data and classify and process the collected observation data into a single executable file; and a monitoring unit configured to perform GUI-based job scheduling and monitoring using a Rose / Cylc operating system.

The application discloses a positive buoyancy profile float based on a wave energy power generation device and belongs to the technical field of marine observation equipment. The positive buoyancy profile float comprises a flow guide cover, a main sealed cabin, a passive variable buoyancy sealed cabin and an immersed tail cabin, and is completely immersed to present positive buoyancy. The flow guide cover is a streamlined hollow shell body, integrates a communication module and a temperature-salinity-depth sensor, and is connected with the main sealed cabin through a through-cabin piece; the main sealed cabin is divided into a wave power generation cabin and a control cabin by a cabin plate with holes, and is uniformly and stably provided with fin plates outside; the passive variable buoyancy sealed cabin is internally provided with a piston, a compression spring and a limiting block, and the piston adjusts the buoyancy according to water depth pressure; the immersed tail cabin is provided with water inlet holes, and is internally provided with a corrosion-resistant open water motor and an asymmetric double-blade propeller, and realizes vector propulsion through periodical variable speed. When working, the water surface generates electricity through wave heaving and stores energy, when diving, the motor drives the propeller and the piston is compressed to reduce energy consumption, when rising, the motor is stopped and the piston releases the buoyancy, and data is collected throughout the whole process. The application is self-provided with wave energy, has simple structure and high diving efficiency, and is suitable for long-term observation of marine profile data.

The utility model discloses a kind of for ocean observation's laying device, belong to the field of ocean observation, including bearing vehicle body, the bearing vehicle body is installed with wheel, the bottom of bearing vehicle body is provided with sliding mechanism, the sliding mechanism includes at least two parallelly arranged slide rails, multiple rolling support members are arranged at interval on the slide rail, sliding mechanism is slidably provided with the bearing plate for placing to be launched object. Through the combination design of parallel slide rail and rolling support member, form low-friction sliding guide structure, so that bearing plate can be smoothly moved along slide rail, significantly reduce the thrust demand of to-be-launched object in the process of laying, convenient to operate, the interval arrangement of multiple rolling support members can evenly disperse bearing plate load, ensure that sliding mechanism does not occur significant deformation when loading heavy observation equipment, improve the load-bearing reliability of device, the structure design is compatible with the laying demand of small and medium-sized anchor platform and mobile observation platform simultaneously, with universality.

The invention provides a distributed InSAR sea surface two-dimensional flow velocity and elevation measurement method and device, and belongs to the technical field of ocean microwave remote sensing. According to the method, a dual-beam BiDi mode is introduced on a distributed InSAR platform, sea surface echoes are obtained at the same time through forward and backward squint angle beams, a multi-squint angle interference pair is constructed through beam separation and sub-aperture processing, and the sea surface two-dimensional flow velocity and elevation measurement is achieved. Image registration, interference, flat ground effect removal, phase unwrapping, interference suppression and Bragg wave phase velocity removal are sequentially completed, a multi-baseline phase equation set is finally established, and decoupling and synchronous inversion of the two-dimensional flow velocity and the elevation phase are achieved. According to the method, an additional antenna or a cooperative target is not needed, the sea surface flow velocity vector and the sea surface elevation can be obtained with high precision in one-time flight, and the ocean observation efficiency and the measurement precision of the distributed InSAR are remarkably improved.

The invention discloses a cable-free seabed observation platform based on underwater acoustic communication, and relates to the technical field of ocean observation and underwater communication. The cable-free seabed observation platform based on underwater acoustic communication comprises a battery cabin unit for stably supplying power to each unit, an earthquake unit for synchronously acquiring multichannel seabed original signals, a signal processing module in an embedded processing unit for receiving the original signals and extracting features to generate data to be discriminated, and a signal processing module in the embedded processing unit for receiving the data to be discriminated. The intelligent event discrimination module analyzes the to-be-discriminated data through the lightweight neural network model to generate target data; the low-power-consumption dormancy monitoring module realizes energy-saving control, the acoustic communication unit performs adaptive compression and channel coding on target data and generates a transmission bit stream, the communication ball unit is internally provided with an underwater acoustic transducer, the transmission bit stream is modulated to generate a modulation signal, and the modulation signal is transmitted to a target receiving end, so that cable-free data transmission is realized.

The present application relates to the technical field of ocean observation, and discloses a GNSS wave inversion method for compensating dynamic draft deviation of a buoy, comprising the following steps: S1, GNSS high-frequency observation data acquisition and preprocessing stage; S2, buoy vertical dynamics modeling stage; S3, dynamic draft deviation characteristic analysis stage; S4, frequency domain response amplitude operator correction stage; S5, wave condition adaptive correction stage; S6, wave parameter inversion and quality evaluation stage; the present application establishes a buoy vertical inertia-buoyancy-damping dynamics model, quantitatively describes the relationship between the buoy dynamic draft deviation and the wave motion for the first time from the physical mechanism level, calculates the dynamic draft deviation amount by epoch, and compensates it into the GNSS measurement results, eliminates the systematic deviation caused by the buoy inertia effect, and reduces the inversion error of the significant wave height from 8% to 15% before correction to within 3%.

The application discloses a mesoscale vortex three-dimensional temperature field inversion method, device, equipment and medium, and relates to the field of ocean observation and data inversion. The method comprises the following steps: acquiring multi-source ocean observation data; identifying a mesoscale vortex based on the multi-source ocean observation data and determining a three-dimensional structure of the mesoscale vortex; constructing a mesoscale vortex three-dimensional temperature field inversion model by using a regression analysis method according to the three-dimensional structure of the mesoscale vortex based on the multi-source ocean observation data; solving regression coefficients in the mesoscale vortex three-dimensional temperature field inversion model by using a hierarchical least square method; and inversing a three-dimensional temperature field of the mesoscale vortex by using the mesoscale vortex three-dimensional temperature field inversion model according to the regression coefficients, while embedding a dynamic constraint in the inversion process to obtain the temperature of each standard layer of the mesoscale vortex. The application improves the precision and reliability of the inversion result of the temperature of each standard layer of the mesoscale vortex.

The application belongs to the technical field of marine observation, and specifically discloses a multi-dimensional fusion feature underwater acoustic target recognition method based on channel attention. The method discloses a multi-dimensional feature fusion method based on a gamma filter to realize feature fusion of obtained three-dimensional logarithmic gamma spectrum and three-dimensional gamma cepstrum coefficients; the gamma filter has stronger robustness to noise, so that the method for extracting multi-dimensional fusion features can more comprehensively capture useful acoustic information. In addition, in the multi-dimensional feature fusion process, the feature data is denoised through a self-encoding network, noise interference is reduced, feature quality is enhanced, and the underwater acoustic target recognition rate is improved. In addition, the application also discloses a U-Net network combined with a channel attention mechanism to enhance the representation ability of key features, and the underwater acoustic target is classified through a classification head. The method has good robustness in a noisy environment, and has high underwater acoustic target recognition accuracy.

The invention discloses a bionic flapping wing underwater vehicle cooperatively driven by a wing bow and a wing stern, and belongs to the technical field of bionic underwater vehicles. The aircraft adopts a modular cabin section design and comprises a movable bow cabin section, a buoyancy adjusting cabin section, a bionic flapping wing driving cabin section, a pitch attitude adjusting cabin section and a movable stern cabin section. The technical problem that high maneuverability and low energy consumption of a traditional underwater vehicle are difficult to consider at the same time is solved through organic combination of cooperative deflection of the movable bow and the movable stern, multi-degree-of-freedom motion of the flapping wings and buoyancy adjustment. According to the invention, a plurality of motion modes such as flapping wing propulsion, buoyancy gliding and sliding-flapping mixing can be realized, complex motion capabilities such as fixed-depth direct navigation, rapid steering, spiral steering and zigzag gliding are realized, the maneuverability, the energy consumption efficiency and the environmental adaptability are remarkably improved, and an innovative solution is provided for marine observation and detection tasks.

The application provides a profile data set construction method and system based on multi-source heterogeneous ocean observation, wherein the method comprises the following steps: obtaining multi-source heterogeneous original ocean observation profile data and respective description information from a plurality of target ocean data centers / observation agencies in a target time period; performing version cleaning on the original ocean observation profile data according to the unique identifier determined according to the original ocean observation profile data metadata and the description information, and performing high-frequency cleaning on the original ocean observation profile data based on the spatio-temporal joint characteristics to obtain a plurality of target ocean observation profile data; and performing matrix processing on the target ocean observation profile data to obtain corresponding normalized data to construct a profile data set in the target time period. Thus, the multi-source heterogeneous profile data can be sequentially subjected to data cleaning and format normalization, thereby improving the consistency, accuracy and availability of the data.