4752 results about "Oceanography" patented technology

A shelf and a shelving system thereof. The shelf comprises a shelf main body having a top surface and a bottom surface; wherein, the shelf main body has one or more strip-shaped recesses on the top surface of the shelf main body; at least one of the two sidewalls has two or more first opening regions arranged longitudinally along the sidewall, and at least one of the two or more first opening regions is adjacent to the bottom wall of the recess. The first opening regions on the sidewalls of the recesses of the shelf main body can be used as water drain ports for draining water accumulated in the strip-shaped recesses. On the other hand, due to the first opening regions, the material cost is saved, and the weight of the shelf and shelving system become lighter, thereby facilitating transportation and storage.

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 relates to the technical field of grain storage monitoring, in particular to a wharf granary grain condition monitoring method and system. The method comprises the following steps: acquiring data of wharf granary environment characteristics, grain pile size characteristics, temperature characteristics, humidity characteristics and gas concentration characteristics; based on the data, spatial-temporal characteristic models are constructed, and the spatial-temporal characteristic models comprise a temperature spatial-temporal characteristic model, a humidity spatial-temporal characteristic model and a gas concentration spatial-temporal characteristic model; according to the spatio-temporal characteristic model, spatio-temporal characteristic data are obtained; processing the spatio-temporal characteristic data to obtain optimized spatio-temporal characteristic data; constructing a grain safety risk assessment model through the optimized spatial-temporal characteristic data; and monitoring the grain condition of the wharf granary according to the grain safety risk assessment model. According to the invention, internal sensorless monitoring is carried out on the temperature, humidity and # imgabs0 # concentration of the infinite space point in the grain pile, so that the monitoring cost is greatly reduced, and high-precision assessment of the grain safety risk is realized.

Disclosed is an autonomous vessel comprising a hydrodynamic pump that converts the energy of ocean waves into electrical power when the vessel is floating adjacent to an upper surface of an ocean, and utilizes a portion of the generated electrical power produced to charge an electrical energy storage device. The vessel may submerge itself, and then propel itself beneath the water's surface, after which it may return to the surface and resume its production of electrical energy and recharge its electrical energy storage device.

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 relates to an offshore booster station lightning arrester arrangement optimization method, which comprises the following steps of: constructing an offshore booster station model, and calculating lightning stroke induction overvoltage of an offshore booster station; using a Monte Carlo method to estimate lightning stroke parameters of the power distribution network, estimating probability distribution of overvoltage through a Gaussian density function, and constructing a risk model of lightning arrester failure; and based on the risk model of lightning arrester failure, constructing a target function considering the protection importance and economic indexes of the nodes, and determining the optimal arrangement of the lightning arrester through particle swarm optimization of the target function. Compared with the prior art, the method has the advantages that the influence of uncertainty in a power grid can be processed, so that the robustness and reliability of a lightning arrester arrangement scheme under different operation conditions are ensured, more reliable lightning protection is provided for an offshore booster station, and the method is suitable for various complex offshore power system environments.

The invention provides a multi-scale ship detection method for a complex sea surface scene, and the method comprises the following steps: S1, carrying out the meteorological-like condition data enhancement of sea surface ship images in a sea surface ship data set, carrying out the ship marking of each sea surface ship image in the sea surface ship data set, dividing the sea surface ship data set into a training set and a test set by adopting a random division method after labeling; s2, based on YOLOv8n, introducing a convolution block attention module, a novel bounding box similarity comparison measure MPDIOU Loss and a lightweight module VoV-GSCSP to build a multi-scale ship detection network model; s3, training the multi-scale ship detection network model by using the training set and the test set to obtain a trained multi-scale ship detection network model; and S4, performing target detection and identification on the ship in the complex sea surface scene by using the trained model, and outputting a detection result. According to the method, the multi-scale ship detection capability is effectively improved, and the target accuracy and rapidity of ship identification in a complex sea surface scene 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.

The invention belongs to the technical field of fishery resource management, and discloses a fishery resource collaborative proliferation method based on a large water surface environment. The method comprises the steps of collecting water area feature data; the water area characteristic data comprises water quality data, substrate data, sound wave data and a water area image; aquatic organism monitoring is carried out according to the sound wave data, and aquatic organism data are obtained; combining the water quality data, the substrate data and the aquatic organism data to formulate a proliferation recovery strategy; performing fish resource evaluation according to the water area image to obtain fish school resource data; in combination with the water quality data, the substrate data, the aquatic organism data and the fish school resource data, preferentially selecting proliferation objects; based on the multiplication object, the multiplication release capacity is determined; according to the method, the accuracy and the intelligent level of fishery resource management are improved, strategies can be dynamically adjusted to cope with environmental changes, the population relationship in an ecological system is balanced, and the sustainable development capability of fishery resources is effectively improved.

The invention discloses an automatic data processing method and device for a flat beach river channel and a medium. The automatic data processing method for the flat beach river channel comprises the following steps: acquiring historical observation data of a target section in a target river reach; for each historical observation frequency, determining the beach lip position of the target section at the historical observation frequency by using the observation point where the lowest point elevation is located and the riverbed elevations of the plurality of observation points at the historical observation frequency; based on the riverbed elevation of the beach lip position of the target section at the historical observation times, determining the flat beach water level of the target section at the historical observation times; and determining the actual flat beach water level of the target section according to the flat beach water levels of the target section at the plurality of historical observation times. The flat beach water level identification efficiency and accuracy can be improved.

The invention provides a water body image splicing method and device based on cooperation of an unmanned aerial vehicle and an unmanned ship, and belongs to the technical field of image processing, and the method comprises the steps: determining a first driving path of the unmanned ship based on a shooting region and a preset image splicing proportion, determining a second driving path and a plurality of shooting center points of the unmanned aerial vehicle based on the first driving path; calculating an image offset based on a plurality of water area images collected by the unmanned aerial vehicle at the plurality of shooting center points; the image offset is the offset between the position of the unmanned ship in the image and a plurality of shooting center points; and splicing the plurality of water area images based on the image offset. According to the water body image splicing method and device based on cooperation of the unmanned aerial vehicle and the unmanned ship provided by the invention, the problems that the images deviate and cannot be spliced when a large-area water area is monitored in the prior art can be solved.

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 refers to a floating offshore structure incorporating a water motion stabilization system. The structure comprises: a platform, at least one floater joined to the platform, each floater having at least an internal chamber and having a closed upper end and an open bottom end, and wherein the floaters are positioned such that the open bottom end is submerged when the offshore structure is deployed on the sea, so that a water column can oscillate inside the chamber of each floater. Each floater has a valve arranged such that in its open position it communicates an upper part of the chamber of the respective floater with the ambient air, and in its closed position it serves for controlling the volume of air enclosed within the chamber of each floater. The invention improves water motion dampening effect, so as to improve stabilization particularly of Floating Offshore Wind Turbine Platforms, thereby, improving the efficiency of wind turbines and enlarging their operation range.

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 marine hormone pollution risk evaluation method and system applied to swimming animals, and the method comprises the steps: carrying out water quality sampling and hormone pollution detection, and constructing a regional water hormone pollution condition diagram; constructing a pollution change trend prediction model, and performing pollution change trend prediction in combination with the regional water hormone pollution condition diagram; the gathering place preference of the nekton in the target ocean area is analyzed, a nekton food chain network of the target ocean area is established based on the population relation data, and an ecological simulation model is constructed; performing biological sampling to analyze the biological hormone pollution condition in the target ocean area, and analyzing the ecological response of the target ocean area in the future time period by using the ecological simulation model; and constructing a risk evaluation model, evaluating the hormone pollution risk of the target ocean area in the future time period in combination with the ecological response analysis information, and performing early warning prompt. The accuracy and comprehensiveness of marine hormone pollution risk evaluation are improved, and the health and sustainability of a marine ecosystem are protected.

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.