3263 results about "Oceanography" patented technology

The invention discloses a river model multi-data processing analysis method and system, and relates to the technical field of hydraulic engineering, and the method comprises the steps: extracting a motion feature vector from a digital twin model, and carrying out the preprocessing to generate a standard river motion data set; according to the method, the sediment space distribution concentration Nsc (x, y, z, t) in a three-dimensional coordinate grid is calculated through a standardized data set, and the change trend of the sediment space distribution concentration Nsc (x, y, z, t) along with time is evaluated. When the sediment space distribution concentration Nsc (x, y, z, t) is larger than 0, highlighting marking is conducted on the abnormal area through a visual interface; when the sediment space distribution concentration Nsc (x, y, z, t) is less than or equal to 0, the sediment concentration is normal. For an abnormal area, the method further calculates the sediment conveying capacity Qs and the sediment deposition rate S, accurately predicts the moving path, the sediment deposition area and the sediment deposition speed of the sediment, dynamically analyzes the sediment movement condition of the river, and can track the sediment change trend in real time in a complex dynamic environment.

The invention discloses a three-dimensional scene loading and rendering method for deep-sea three-dimensional environment deduction, and relates to the technical field of three-dimensional scene rendering, and the method comprises the following steps: obtaining and preprocessing various types of data of a deep-sea environment, and carrying out the grid processing of terrains and objects in the deep-sea environment; a deep sea three-dimensional scene is established based on the preprocessed deep sea environment data, scene uniform segmentation is carried out, a plurality of sub-scene blocks are obtained, and a block rendering sequence table is obtained; the rendering efficiency of the deep sea three-dimensional scene is remarkably improved by adopting the view cone removing technology and the batch processing rendering strategy, the rendering speed is increased, dependence on hardware resources is reduced, the rendering task can be efficiently completed under the condition that the resources are limited, and in addition, the rendering efficiency of the deep sea three-dimensional scene is improved. The strategy of dynamically adjusting the rendering detail level further balances details and performance, and ensures that the optimal rendering effect can be provided under different observation distances and hardware loads.

The invention discloses a deep and far sea cage culture typhoon disaster prevention and after-disaster rapid recovery method, which comprises the following steps of: carrying a high-definition camera by using an unmanned aerial vehicle to aerially photograph a cage water surface structure before a disaster, acquiring an underwater image by an underwater robot through sonar hierarchical scanning and the camera, and generating structure data and fish school data before the disaster; weak points such as frames, nettings and anchor chains are analyzed through three-dimensional modeling and are repaired and reinforced, the stocking density is optimized in combination with typhoon information, the risk of facility damage and fish loss is reduced, structural data and fish school data are repeated after a disaster, and the pre-disaster standard serves as a reference to compare and evaluate the frame damage degree, the nettings damage degree, the anchor chain breakage degree and the fish school escape or death degree; and generating a graded repair scheme and a disaster relief plan. According to the method, the detection precision and the evaluation efficiency are improved through multi-device cooperation and data fusion, the damaged part is rapidly positioned, the recovery strategy is optimized, and an efficient disaster prevention and reduction and after-disaster rapid recovery solution is provided for deep and far sea cage culture.

The invention discloses a gravity type submerging net cage parameter design optimization method, and relates to the field of mariculture equipment structure optimization, and the method comprises the steps: collecting the multi-period marine environment data of a target sea area, and constructing an environment load sequence with a time-varying characteristic; establishing a three-dimensional coupling finite element model, performing disturbance analysis on a plurality of structure control parameters, and identifying a key design parameter set based on a response sensitivity function; and constructing a multi-objective optimization model including floating and sinking time control, maximum stress minimization and attitude offset constraint, performing global optimization by adopting an adaptive genetic algorithm, obtaining an optimal parameter solution, substituting the optimal parameter solution into the simulation model for dynamic response verification, and if a response index is converged to a target interval, outputting the optimal parameter solution as final design configuration. According to the method, systematic optimization of structural parameters of the submerging and surfacing net cage can be achieved, the stability and safety of the submerging and surfacing net cage under complex sea conditions are improved, and the method has high engineering applicability.

The invention relates to the technical field of mountainous river fish habitat habitat restoration, and relates to a mountainous river fish habitat restoration method based on numerical simulation optimization, comprising: acquiring habitat data of a mountainous river fish habitat, and performing preliminary ecological restoration measures on the mountainous river fish habitat; constructing a numerical simulation model to predict the erosion and deposition evolution result of the fish habitat in the mountain river after the preliminary ecological restoration in a set period, and identifying an area of which the erosion and deposition evolution degree meets a preset threshold value in the set period; and carrying out riverbed substrate transformation on the identified area based on the target fish, evaluating the habitat improvement effect under the combined action of the preliminary ecological restoration measure and the riverbed substrate transformation through a habitat suitability model, and completing the restoration of the fish habitat in the mountain river based on the evaluation result. According to the method, dredging, spur dike and substrate transformation are combined, and numerical simulation optimization is combined, so that the effectiveness, continuity and scientificity of restoration of the fish habitat in the mountain river are improved.

The invention discloses a riverway longitudinal section determination method based on a riverway section terrain and related equipment. The method comprises the following steps: acquiring main groove section data of a plurality of sections in a target river reach, wherein the main groove section data comprises a main groove section area of each section under a corresponding section flat beach water level; for each section, a target water level value is determined from a plurality of preset water level values larger than the thalweg point elevation of the section, the channel range interval where the thalweg point of the section under the target water level value is located is a target interval, and the channel section area in the target interval is larger than or equal to the product of the main channel section area and a preset proportion value; taking the target water level value as the deep groove elevation of the corresponding section; and determining the longitudinal section of the river channel of the target river reach by utilizing the deep groove elevations of the multiple sections in the target river reach. Sawteeth in the longitudinal section of the riverway can be reduced, so that the longitudinal adjustment rule of the riverway can be accurately identified, and the level requirement on related technicians is reduced.

The invention discloses an offshore wind turbine blade online monitoring method based on voiceprint recognition, which belongs to the field of wind turbine blade acoustic signal analysis, and comprises the following steps: acquiring wind turbine voiceprint data, weather condition data and wind turbine generating capacity data, and constructing a signal processing model; the collected voiceprint signals are subjected to denoising, amplification and feature extraction through a signal amplifier, a filter and a feature extraction unit, a deep learning model is constructed, voiceprint signal parameters, weather data and wind turbine generating capacity are imported into the deep learning model to evaluate future wind turbine blade cracks, a crack evaluation model is constructed, and the wind turbine blade cracks are evaluated. And importing the crack sound source position, the crack depth, the crack length and the estimated damage score into a crack evaluation model to evaluate the crack degree of the fan blade under the future weather condition, grading the fan cracks according to the crack damage score, and giving an alarm. The early warning of the future crack condition of the fan blade is realized by combining the voiceprint signal of the offshore fan blade, the weather condition and the generating capacity.

The invention provides a ship target segmentation method and system based on an improved Harris eagle optimization algorithm, and relates to the technical field of image processing and mode recognition. According to the technical key points, the method comprises the following steps: processing an airborne grayscale image including a sky domain, a sea area, a marine ship and a coastline, and obtaining a region-of-interest image; obtaining an optimal segmentation threshold value by using an improved Harris eagle optimization algorithm, and segmenting the airborne grayscale image by using the optimal segmentation threshold value to obtain a segmented image based on the optimal segmentation threshold value; and fusing the region-of-interest image and the segmented image based on the optimal segmentation threshold to obtain a final segmented image. According to the method, the high response area of the ship target is accurately locked through the SIFT features, and adaptive threshold optimization is realized in the target gray band in combination with the improved Harris eagle optimization algorithm, so that the ship target segmentation precision and robustness under the complex sea condition are remarkably improved, and high-reliability technical support is provided for maritime affair monitoring and other scenes.

The invention relates to a flood prevention block stone reserve high-precision measuring and calculating method, which comprises the following steps: aerial photography and three-dimensional modeling are carried out on the overground part of a flood prevention block stone by using two modes of unmanned aerial vehicle oblique photography and unmanned aerial vehicle laser radar, and the overground volume of the flood prevention block stone is measured and calculated; a ground penetrating radar is adopted to detect the settlement depth of the flood prevention block stone, the volume of the underground part of the block stone is calculated, the volume of the whole block stone can be obtained by adding the volume of the overground part of the flood prevention block stone and the volume of the underground part of the block stone, and the weight of the flood prevention block stone can be calculated. According to the invention, the reserve of the overground and underground parts of the flood prevention block stone can be accurately measured, and technical support is provided for flood prevention and emergency rescue.

Device (300) for supplying a grey water tank (586) with fresh water from a fresh water connection (302), wherein the fresh water connection (302) has an outlet opening (316), characterized in that in the flow direction (S) of the fresh water, downstream of the fresh water connection (302), there is a fresh water tank (304) for temporarily storing the fresh water, which is connected to the fresh water connection (302).

The invention provides a river flow estimation method for deducing a river channel open area by using a height measurement satellite, which comprises the following steps of: extracting and preprocessing an optical image river width, preprocessing a radar image and extracting the river width; extracting a height measurement satellite preprocessing water level; inverting the river topography by the elevation boundary; inverting a riverway terrain by a remote sensing image; constructing a riverway terrain; and carrying out river flow inversion. According to the river flow estimation method for deducing the river channel open area by using the height measurement satellite, river flow prediction is realized by extracting river width and water level inversion river channel topography based on multi-source remote sensing satellite data and establishing a cross section-flow empirical formula.

The invention belongs to the technical field of sea wave height prediction, and discloses a sea wave height prediction method and system based on a large language model and a medium, and the method comprises the steps: S1, geographic position coding: carrying out geographic position coding on sea wave height data, and generating sea wave height data fused with geographic position information; s2, a step of ocean wave height semantic feature coding based on an attention mechanism: carrying out self-coding on the ocean wave height data output in the step S1, outputting ocean wave self-coding features, carrying out self-coding on ocean wave physical field features, outputting word vector features, and realizing interaction between the ocean wave self-coding features and the word vector features by utilizing the cross-modal attention mechanism; outputting domain-specific semantic features; and S3, a step of large-scale language model prediction based on sea wave height domain cue word driving: inputting the domain specific semantic features into a large-scale language model, and outputting prediction features. According to the method, sea wave complex spatial-temporal change information is effectively mined, and accurate prediction of the sea wave height is realized.

A multi-source remote sensing data-based method for monitoring the concentration of suspended matter in an ocean dumping area, belonging to the technical field of remote sensing and monitoring of the concentration of suspended matter in ocean dredging and dumping areas. The method comprises: 1) selecting a certain sea area comprising a dumping area as a research area to acquire actually measured suspended matter concentration data; 2) separately acquiring the actually measured suspended matter data, and preprocessing remote sensing images; 3) matching the acquired data to form a data set, constructing a suspended matter concentration inversion model, and obtaining an image of the spatiotemporal distribution of the concentration of suspended matter in a body of water of the research area; and 4) constructing a multi-source remote sensing spatiotemporal data fusion model to obtain a high-spatiotemporal-resolution diagram of the spatiotemporal distribution of the concentration of suspended matter in the dumping area, and monitoring the conditions of a change in the concentration of suspended matter in the ocean dumping area. The present invention has advantages such as a short monitoring period, high spatiotemporal resolution, and a wide observation range, and can synchronously monitor a sea area having a large range. The present invention can also provide data support for operations such as supervision and management of ocean waste dumping, monitoring and management of an ocean waste dumping area, selection and division of a waste dumping area, supervision of use, and monitoring for illegal dumping.

The invention relates to the field of marine transformers, and discloses a marine transformer with a protection mechanism, the marine transformer comprises a transformer oil tank and a mounting seat, the transformer oil tank is arranged above the mounting seat, a movable supporting structure is arranged in the middle of the upper surface of the mounting seat, and the transformer oil tank is arranged on the mounting seat through an external protection structure; a mounting frame is fastened in the middle of the lower inner wall of the transformer oil tank, a winding is mounted on the mounting frame, and oil sliding up and down in the transformer oil tank can be blocked through an internal protection structure when the ship body shakes up and down to drive the oil to slide, so that the upper side face and the lower side face of the transformer oil tank are protected; the problem that the upper side face and the lower side face of the transformer oil tank deform due to impact is reduced, the upper side face and the lower side face of the transformer oil tank can be protected outside the transformer oil tank through the external protection structure and the auxiliary protection structure, and the protection effect is better.

A system is for cooling at least one computing device using water. The system has a body of water defining a first waterline and a structure at least partially submerged in the body of water. An internal volume of water defines a second waterline. At least one outlet drains water from the internal volume of water to the body of water. A container is at least partially submerged in the internal volume of water and has at least one computing device that generates heat in use. An inlet pipe has a pump to move water from the body of water to the internal volume of water. A flow path of water is provided across the container towards the at least one outlet. The second waterline is at a height above the first waterline to drive the flow path to provide cooling of the container and computing device therein.

The invention discloses a hydroelectric generating set forced mechanism low-frequency oscillation elimination method and device, and the method comprises the steps: monitoring the power oscillation inherent frequency of a hydroelectric generating set at different load sections, and determining the resonant frequency early warning range of the pressure pulsation of a draft tube of the hydroelectric generating set according to the power oscillation inherent frequency of the hydroelectric generating set; a hydroelectric generating set combination strategy considering the vibration area is calculated to obtain the resonance adjustable load capacity, and the guide vane opening degree corresponding to each hydroelectric generating set is reversely calculated according to the resonance adjustable load capacity; when it is monitored that the hydroelectric generating set draft tube pressure pulsation frequency is within the resonance frequency early warning range and the amplitude exceeds the set value, the multiple hydroelectric generating sets are controlled to act in a coordinated mode to adjust the guide vane opening degree. Under the condition that a prime motor and a water diversion system are not changed, forced power oscillation accidentally occurring in the vibration crossing area of the large hydropower station can be rapidly eliminated.

The invention belongs to the technical field of ecological restoration and wetland engineering, and discloses an ecological corridor-based abandoned fishpond ecological restoration method, which comprises the following steps: S1, land forest restoration: planting saline-alkaline tolerant vegetation around an abandoned fishpond and in a land and abandoned fishpond transition area in a layered manner; s2, mangrove forest wetland construction: performing microtopography modification to adjust the bottom mud elevation, and planting mangrove forest plants in a layered manner; s3, ecological corridor construction: constructing an ecological corridor on one side of the abandoned fishpond and the land, and constructing an ecological corridor on one side of the abandoned fishpond and the ocean; s4, ecological monitoring and maintenance: carrying out hydrological, tidal and biological detection regularly; the three-dimensional ecological corridor system of'land forest-mangrove forest wetland-ocean 'is constructed, and the abandoned fish pond is transformed into the mangrove forest wetland, so that not only are biodiversity improvement and ecosystem connectivity realized, but also stable migration and inhabitation space can be provided for terrestrial and aquatic organisms.

The invention discloses a sailing ship safety situation awareness system, and belongs to the technical field of data analysis. The method is used for solving the technical problem that in an existing scheme, multi-dimensional data analysis and timely and reliable early warning cannot be carried out on complex sea conditions, and consequently the coping capacity of the complex sea conditions is weak. Through the whole process of biological anchoring anomaly suppression, data fusion and dynamic feature extraction, the limitation that traditional ship perception depends on a physical sensor can be broken through, high-precision perception of environmental risks and ship states under complex sea conditions is achieved, and compared with a traditional method, the abnormal sea conditions can be recognized in advance, and the method has the advantages of being high in practicability. The robustness of the data and the detection rate of small probability and high influence events can be effectively improved; cross-scale modeling is realized through deep coupling of a microscopic physical mechanism and macroscopic data features; the constructed multi-dimensional risk assessment matrix not only can output a risk value, but also can provide a risk propagation path, and can effectively improve the risk assessment precision of the ship under a complex sea condition.

The invention belongs to the technical field of dredging ship operation sea wave monitoring, and discloses an engineering scale sea wave monitoring system and method based on image information recognition. Comprising the steps of monitoring area setting, sea wave image acquisition, sea wave parameter analysis, crushing condition monitoring, surge condition monitoring and dangerous condition identification. According to the method, the sea wave danger evaluation condition, the sea wave breakage danger evaluation condition and the sea wave surge danger evaluation condition of each monitoring area are analyzed respectively, whether the sea wave danger condition occurs in each monitoring area or not is comprehensively judged, and then whether the target dredging engineering ship is in danger or not is further judged; omnibearing risk control over dredging ship operation is achieved, the risks of ship collision, overturning and facility damage are effectively reduced, accurate decision making is assisted, a reliable basis is provided for dredging operation route optimization arrangement and the like, the probability that a ship breaks into a dangerous sea area is reduced, smooth implementation of a navigation plan is ensured, and engineering tasks are completed on time.

The invention provides a method and device for analyzing and calculating reservoir capacity by using a digital elevation model (DEM), and relates to the technical field of capacity estimation.The method comprises the steps that original digital elevation model (DEM) data is cut to obtain DEM data of a reservoir area, and the DEM data is supplemented according to high-precision map data; fusing topographic map data with the DEM data to obtain fused reservoir DEM data; and calculating the submerged area and the reservoir capacity under each water level condition based on the fused reservoir DEM data. The DEM data is supplemented through the high-precision map data and the topographic map data, the calculation of the submerged area and the reservoir capacity under each water level condition is realized, the overlarge calculation error caused by insufficient map precision is avoided, and the accuracy of reservoir capacity analysis is improved.

The invention discloses a multi-scale sea surface electromagnetic scattering calculation method and device based on marine environment elements and a storage medium, and belongs to the technical field of marine detection and physical remote sensing. The method comprises the following steps: calculating a tension wave sea spectrum according to an Elfouhail sea spectrum in combination with a Longuet-Higgins directional spectrum; a JONSWAP sea spectrum is combined with a Longuet-Higgins directional spectrum to calculate a gravity wave sea spectrum; superposing the tension wave on the gravity wave according to the slope by using a linear superposition method, and calculating a self-adaptive cut-off wave number; the contribution of small-scale waves to scattering is calculated by adopting an integral equation method, mirror scattering of large-scale waves is counted by adopting a Kirchhoff approximation method, and statistics and fusion are carried out on each scale wave according to the self-adaptive cut-off wave number, so that an electromagnetic scattering value is obtained. According to the method, a sea surface geometric calculation method based on real marine environment element driving is adopted, and accurate calculation is performed aiming at sea surface scattering characteristics under different sea conditions in combination with an integral equation method-Kirchhoff approximation electromagnetic scattering calculation model of an adaptive cut-off wave number, so that the calculation precision of scattering intensity is improved.

The invention discloses a method for monitoring diversity of large benthic invertebrates in a river based on eDNA. The method comprises the following steps: step 1, selecting a river basin to be measured, and querying basic information of the basin; 2, collection and treatment of eDNA samples: designing sampling points and geographic positions, and collection and pretreatment of water samples; 3, measuring physical and chemical indexes; 4, extraction of eDNA, PCR amplification and high-throughput sequencing are carried out; and 5, performing data analysis on the results, wherein the data analysis comprises bioinformatics analysis, alpha diversity analysis, beta diversity analysis and correlation analysis of large benthic invertebrate communities and environmental factors. The diversity of the large benthic invertebrates is more accurately and efficiently investigated and monitored by analyzing DNA fragments existing in the environment.

The invention discloses a fishway inlet flow velocity adjusting system and method based on fish induction flow velocity, and relates to the technical field of data processing. Firstly, environment and fish information comprehensive data of a fishway subordinate area are collected and analyzed, then target flow velocity adjustment parameters of the fishway subordinate area are obtained through matching, first fishway inlet flow velocity adjustment is carried out, a fish migration rule can be better understood, and therefore a more accurate flow velocity adjustment strategy is achieved; then analyzing the fishway operation parameters of the fishway membership area after the first adjustment and performing the second adjustment, continuously optimizing the flow velocity adjustment parameters, improving the fish luring effect of the fishway, and finally collecting the environment and fish information comprehensive data of the fishway membership area after the second adjustment and the fishway operation parameters of the fishway membership area so as to improve the fish luring effect of the fishway. The environment change can be quickly responded, the fish safety passing rate is improved, and therefore the fish passing effect of the fishway affiliated area is improved.

The invention discloses a trend prediction and early warning method applied to health evaluation of a bay ecological system, and relates to the technical field of bay ecological early warning, and the method comprises the following steps: collecting monitoring data of bay ecology, and dividing the monitoring data into historical data and real-time data, wherein the monitoring data comprises water quality data, geological data and hydro meteorological data, the collected monitoring data is preprocessed, bay ecosystem impact factors are screened, the bay ecosystem impact factors comprise physical impact factors and chemical impact factors, and the preprocessed historical data and the bay ecosystem impact factors are utilized. According to the method, trend prediction is carried out on the health condition of an ecological system in a period of time in the future by constructing the gulf ecological prediction model based on historical data and real-time monitoring information, so that related departments and the public can take actions before problems occur, and potential ecological risks are effectively prevented.

The invention belongs to the technical field of water resource planning and management, and particularly relates to a method for calculating an effective hydrological connectivity strength index range of a wetland based on an InSAR (Interferometric Synthetic Aperture Radar) technology. The calculation method comprises the following steps: acquiring image data of an area to be calculated; identifying all wetland plaques in the water body area; dividing the wetland plaques into different effective hydrological communication type groups; calculating an elastic force value of each wetland patch; constructing a water level fluctuation-ecological elastic force curve under different effective hydrological communication situations, carrying out segmented fitting on the water level fluctuation to generate a fitting line, calculating the mean value of the elastic force of the wetland plaques under the effective hydrological communication type, generating an elastic force mean value line, and calculating the elastic force mean value line; the two intersection points of the elastic force mean value line and the fitting line are the effective hydrological connection strength index range. According to the method, the wetland plaques of different effective hydrological connection type groups are divided according to the difference of the effective hydrological connection strength, the optimal ecosystem elastic force of the wetland plaques is calculated respectively, and then the effective hydrological connection strength index range is determined.

The invention provides a curly wave sea surface modeling method, device and equipment based on modified Lie transformation, and relates to the technical field of computer modeling. The method comprises the steps that when a curly wave sea surface model is constructed, sea spectrum information of a to-be-modeled target sea surface can be firstly acquired; based on the sea spectrum information, constructing a linear sea surface height model of a frequency domain dimension corresponding to the target sea surface; transforming the linear sea surface height model of the frequency domain dimension to obtain a linear sea surface height model of the time domain dimension; under a linear sea surface height model of a time domain dimension, correcting Lie transformation based on a wind condition of a target sea surface; and then based on the corrected Lie transformation, carrying out superposition on the linear sea surface height model of the frequency domain dimension so as to construct a curled wave sea surface model of the target sea surface. In this way, the Lie transformation is corrected in combination with the wind condition of the sea surface, so that the corrected Lie transformation can better simulate the curl wave under the high sea condition, and the modeling effect of the constructed curl wave sea surface model is effectively improved.

The invention discloses a ship identification and water area safety situation analysis method and system. The method comprises the following steps: acquiring water area environment multi-source data; based on a ship target detection model and a target identity matching method, analyzing the water area environment multi-source data, and identifying a ship target; acquiring a historical ship track based on a ship track interpolation smoothing method according to the ship target and water area environment multi-source data; and obtaining a ship navigation safety situation score by using the ship track prediction model and the composite artificial potential field model according to the ship historical track and the water area environment multi-source data. According to the technical scheme provided by the invention, a ship target is identified through an SDRV method and a target identity matching method, abnormal track points are screened, a historical track is interpolated and smoothed, and ship navigation safety situation scoring is carried out based on track prediction and a composite artificial potential field; multi-source dynamic information of a ship target can be integrated, and ship identification and safety situation analysis are effectively supported.

The invention belongs to the technical field of fluid simulation, and relates to a simulation method for fish school swimming and water flow coupling in a culture net cage, which comprises the following steps: coupling a monomer fish motion model with a netting model, calculating monomer fish stress, obtaining fish school stress of the whole net cage, and calculating a porous medium coefficient of a fish school porous medium model; assuming: a, fish bodies in the net cage have the same specification and do not influence each other; b, when the fish schools move in an incident flow mode, all the fish schools are arranged and evenly distributed in the net cage in an incident flow mode; c, when the fish schools swim in the circumferential mode, the radial intervals are equal, and the fish schools are evenly distributed in the vertical direction. Based on the hypothesis, an imaginary volume force source item is added in the area where the fish school is located to approximate the choked flow effect of the fish school; and carrying out stress calculation to obtain the stress of the porous medium area. According to the method, the accuracy of the calculation model is ensured, meanwhile, the simulation complexity of movement of a large number of fish schools in the aquaculture net cage is reduced, and accurate simulation of flow fields in and around the aquaculture net cage under the influence of fish school swimming is achieved.

The invention belongs to the technical field of sea wave parameter prediction, and particularly relates to a construction area sea wave prediction platform based on multi-dimensional data analysis, which undertakes a sea wave significant wave height data prediction task of a target construction area in a future preset time period on the current day. On the other hand, the sea wave significant wave height monitoring value of the future preset time period corresponding to each historical reference day is corrected, and the sea wave significant wave height of the future preset time period of the current day in the target construction area is predicted at a time; according to the method, the sea wave significant wave height of the target construction area in the future preset time period on the day is secondarily predicted, the adaptive weight of the primary prediction and the secondary prediction is determined, the comprehensive prediction value of the sea wave significant wave height of the target construction area in the future preset time period on the day is obtained and fed back, effective integration of historical reference and instant prediction is achieved, and the accuracy and reliability of a prediction result are improved.